

TL;DR:
While most ecommerce brands debate whether to implement AI support, customers already rate AI assistance nearly as highly as human support. The future isn't coming. It's being built in real-time by brands paying attention.
As a conversational commerce platform processing millions of support tickets across thousands of brands, we see what's working before it becomes common knowledge. Three major shifts are converging faster than most founders realize, and this article breaks down what's already happening rather than what might happen someday.
By the end of 2026, we predict that the performance gap between ecommerce brands won't be determined by who adopted AI first. It will be determined by who built the content foundation that makes AI actually work.
Right now, we're watching this split happen in real time. AI can only be as good as the knowledge base it draws from. When we analyze why AI escalates tickets to human agents, the pattern is unmistakable.
The five topics triggering the most AI escalations are:
These aren’t complicated questions — they're routine questions every ecommerce brand faces daily. Yet some brands automate these at 60%+ rates while others plateau at 20%. The difference isn't better AI. It's better documentation.
Take SuitShop, a formalwear brand that reached 30% automation with a lean CX team. Their Director of Customer Experience, Katy Eriks, treats AI like a team member who needs coaching, not a plug-and-play tool.
When Katy first turned on AI in August 2023, the results were underwhelming. So she paused during their slow season and rebuilt their Help Center from the ground up. "I went back to the tickets I had to answer myself, checked what people were searching in the Help Center, and filled in the gaps," she explained.
The brands achieving high automation rates share Katie's approach:
AI echoes whatever foundation you provide. Clear documentation becomes instant, accurate support. Vague policies become confused AI that defaults to human escalation.
Read more: Coach AI Agent in one hour a week: SuitShop’s guide
Two distinct groups will emerge next year. Brands that invest in documentation quality now will deliver consistently better experiences at lower costs. Those who try to deploy AI on top of messy operations will hit automation plateaus and rising support costs. Every brand will eventually have access to similar AI technology. The competitive advantage will belong to those who did the unexciting work first.
Something shifted in July 2025. Gorgias’s AI accuracy jumped significantly after the GPT-5 release. For the first time, CX teams stopped second-guessing every AI response. We watched brand confidence in AI-generated responses rise from 57% to 85% in just a few months.
What this means in practice is that AI now outperforms human agents:
For the first time, AI isn't just faster than humans. It's more consistent, more accurate, and even more empathetic at scale.
This isn't about replacing humans. It's about what becomes possible when you free your team from repetitive work. Customer expectations are being reset by whoever responds fastest and most completely, and the brands crossing this threshold first are creating a competitive moat.
At Gorgias, the most telling signal was AI CSAT on chat improved 40% faster than on email this year. In other words, customers are beginning to prefer AI for certain interactions because it's immediate and complete.
Within the next year, we expect the satisfaction gap to hit zero for transactional support. The question isn't whether AI can match humans. It's what you'll do with your human agents once it does.
The brands that have always known support should drive revenue will finally have the infrastructure to make it happen on a bigger scale. AI removes the constraint that's held this strategy back: human bandwidth.
Most ecommerce leaders already understand that support conversations are sales opportunities. Product questions, sizing concerns, and “just browsing” chats are all chances to recommend, upsell, and convert. The problem wasn't awareness but execution at volume.
We analyzed revenue impact across brands using AI-powered product recommendations in support conversations. The results speak for themselves:
It's clear that conversations that weave in product recommendations convert at higher rates and result in larger order values. It’s time to treat support conversations as active buying conversations.
If you're already training support teams on product knowledge and tracking revenue per conversation, keep doing exactly what you're doing. You've been ahead of the curve. Now AI gives you the infrastructure to scale those same practices without the cost increase.
If you've been treating support purely as a cost center, start measuring revenue influence now. Track which conversations lead to purchases, which agents naturally upsell, and where customers ask for product guidance.
We are now past the point where response time is a brand's key differentiator. It is now the use of conversational commerce or systems that share details and context across every touchpoint.
Today, a typical customer journey looks something like this: see product on Instagram, ask a question via DM, complete purchase on mobile, track order via email. At each step, customers expect you to remember everything from the last interaction.
The most successful ecommerce tech stacks treat the helpdesk as the foundation that connects everything else. When your support platform connects to your ecommerce platform, shipping providers, returns portal, and every customer communication channel, context flows automatically.
A modern integration approach looks like this. Your ecommerce platform (like Shopify) feeds order data into a helpdesk like Gorgias, which becomes the hub for all customer conversations across email, chat, SMS, and social DMs. From there, connections branch out to payment providers, shipping carriers, and marketing automation tools.
As Dr. Bronner’s Senior CX Manager noted, “While Salesforce needed heavy development, Gorgias connected to our entire stack with just a few clicks. Our team can now manage workflows without needing custom development — we save $100k/year by switching."
As new channels emerge, brands with flexible tech stacks will adapt quickly while those with static systems will need months of development work to support new touchpoints. The winners will be brands that invest in their tools before adding new channels, not after customer complaints force their hand.
Start auditing your current integrations now. Where does customer data get stuck? Which systems don’t connect to each other? These gaps are costing you more than you realize, and in the future, they'll be the key to scaling or staying stagnant.
Post-purchase support quality will be a stronger predictor of customer lifetime value than any email campaign. Brands that treat support as a retention investment rather than a cost center will outperform in repeat purchase rates.
Returns and exchanges are make-or-break moments for customer lifetime value. How you handle problems, delays, and disappointments determines whether customers come back or shop elsewhere next time. According to Narvar, 96% of customers say they won’t repurchase from a brand after a poor return experience.
What customers expect reflects this reality. They want proactive shipping updates without having to ask, one-click returns with instant label generation, and notifications about problems before they have to reach out. When something goes wrong, they expect you to tell them first, not make them track you down for answers.
The quality of your response when things go wrong matters more than getting everything right the first time. Exchange suggestions during the return flow can keep the sale alive, turning a potential loss into loyalty.
Brands that treat post-purchase as a retention strategy rather than a task to cross off will see much higher repeat purchase rates. Those still relying purely on email marketing for retention will wonder why their customer lifetime value plateaus.
Start measuring post-return CSAT scores and repeat purchase rates by support interaction quality. These metrics will tell you whether your post-purchase experience is building loyalty or quietly eroding it.
After absorbing these predictions about AI accuracy, content infrastructure, revenue-centric support, context, and post-purchase tactics, here's your roadmap for the next 24 months.
Now (in 90 days):
Next (in 6-12 months):
Watch (in 12-24 months):
The patterns we've shared, from AI crossing the accuracy threshold to documentation quality, are happening right now across thousands of brands. Over the next 24 months, teams will be separated by operational maturity.
Book a demo to see how leading brands are already there.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.
In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs.
For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).
But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.
Shoppers want on-demand help in real time that’s personalized across devices.
Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer.
The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030.
Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior.
Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV).
For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.
Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

Shopping Assistant engages, personalizes, recommends, and converts. It provides proactive recommendations, smart upsells, dynamic discounts, and is highly personalized, all helping to guide shoppers to checkout.
After implementing Shopping Assistant, leading ecommerce brands saw real results:
Industry |
Primary Use Case |
GMV Uplift (%) |
AOV Uplift (%) |
Chat CVR (%) |
|---|---|---|---|---|
Home & interior decor 🖼️ |
Help shoppers coordinate furniture with existing pieces and color schemes. |
+1.17 |
+97.15 |
10.30 |
Outdoor apparel 🎿 |
In-depth explanations of technical features and confidence when purchasing premium, performance-driven products. |
+2.25 |
+29.41 |
6.88 |
Nutrition 🍎 |
Personalized guidance on supplement selection based on age, goals, and optimal timing. |
+1.09 |
+16.40 |
15.15 |
Health & wellness 💊 |
Comparing similar products and understanding functional differences to choose the best option. |
+1.08 |
+11.27 |
8.55 |
Home furnishings 🛋️ |
Help choose furniture sizes and styles appropriate for children and safety needs. |
+12.26 |
+10.19 |
1.12 |
Stuffed toys 🧸 |
Clear care instructions and support finding replacements after accidental product damage. |
+4.43 |
+9.87 |
3.62 |
Face & body care 💆♀️ |
Assistance finding the correct shade online, especially when previously purchased products are no longer available. |
+6.55 |
+1.02 |
5.29 |
Shopping Assistant drives uplift in chat conversion rate and makes successful upsell recommendations.
“It’s been awesome to see Shopping Assistant guide customers through our technical product range without any human input. It’s a much smoother journey for the shopper,” says Nathan Larner, Customer Experience Advisor for Arc’teryx.
For Arc’teryx, that smoother customer journey translated into sales. The brand saw a 75% increase in conversion rate (from 4% to 7%) and 3.7% of overall revenue influenced by Shopping Assistant.

Because it follows shoppers’ live journey during each session on your website, Shopping Assistant catches shoppers in the moment. It answers questions or concerns that might normally halt a purchase, gets strategic with discounting (based on rules you set), and upsells.
The overall ROI can be significant. For example, bareMinerals saw an 8.83x return on investment.
"The real-time Shopify integration was essential as we needed to ensure that product recommendations were relevant and displayed accurate inventory,” says Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations, UK at bareMinerals.
“Avoiding customer frustration from out-of-stock recommendations was non-negotiable, especially in beauty, where shade availability is crucial to customer trust and satisfaction. This approach has led to increased CSAT on AI converted tickets."

Shopping Assistant can impact CSAT scores, response times, resolution rates, AOV, and GMV.
For Caitlyn Minimalist, those metrics were an 11.3% uplift in AOV, an 18% click through rate for product recommendations, and a 50% sales lift versus human-only chats.
"Shopping Assistant has become an intuitive extension of our team, offering product guidance that feels personal and intentional,” says Anthony Ponce, its Head of Customer Experience.

Support agents have limited time to assist customers as it is, so taking advantage of sales opportunities can be difficult. Shopping Assistant takes over that role, removing obstacles for purchase or clearing up the right choice among a stacked product catalog.
With a product that’s not yet mainstream in the US, TUSHY leverages Shopping Assistant for product education and clarification.
"Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models,” says Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY.
“Expanding our product catalog has given customers more choices than ever, which can overwhelm first-time buyers. Now, they’re increasingly looking to us for guidance on finding the right fit for their home and personal hygiene needs.”
The bidet brand saw 13x return on investment after implementation, a 15% increase in chat conversion rate, and a 2x higher conversion rate for AI conversations versus human ones.

Customer support metrics include:
Revenue metrics to track include:
Shopping Assistant connects to your ecommerce platform (like Shopify), and streamlines information between your helpdesk and order data. It’s also trained on your catalog and support history.
Allow your agents to focus on support and sell more by tackling questions that are getting in the way of sales.
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TL;DR:
Most shoppers arrive with questions. Is this the right size? Will this match my skin tone? What’s the difference between these models? The faster you can guide them, the faster they decide.
As CX teams take on a bigger role in driving revenue, these moments of hesitation are now some of the most important parts of the buying journey.
That’s why more brands are leaning on conversational AI to support these high-intent questions and remove the friction that slows shoppers down. The impact speaks for itself. Brands can expect higher AOV, stronger chat conversion rates, and smoother paths to purchase, all without adding extra work to your team.
Below, we’re sharing real use cases from 11 ecommerce brands across beauty, apparel, home, body care, and more, along with the exact results they saw after introducing guided shopping experiences.
When you’re shopping for shoes similar to an old but discontinued favorite, every detail counts, down to the color of the bottom of the shoe. But legacy brands with large catalogs can be overwhelming to browse.
For shoppers, it’s a double-edged sword: they want to feel confident that they checked your entire collection, but they also don’t want to spend time looking for it.
How Shopping Assistant helps:
Shopping Assistant accelerates the process, turning hazy details into clear, friendly guidance.
It describes shoe details, from colorways to logo placement, compares products side by side, and recommends the best option based on the shopper’s preferences and conditions.
The result is shoppers who feel satisfied and more connected with your brand.

Results:
Big events call for great outfits, but putting one together online isn’t always easy. With thousands of options to scroll through, shoppers often want a bit of styling direction.
How Shopping Assistant helps:
Shoppers get to chat with a virtual stylist who recommends full outfits based on the occasion, suggests accessories to complete the look, and removes the guesswork of pairing pieces together.
The result is a fun, confidence-building shopping experience that feels like getting advice from a stylist who actually understands their plans.

Results:
Shade matching is hard enough in-store, but doing it online can feel impossible. Plus, when a longtime favorite gets discontinued, shoppers are left guessing which new shade will come closest. That uncertainty often leads to hesitation, abandoned carts, or ordering multiple shades “just in case.”
How Shopping Assistant helps:
Shoppers find their perfect match without any of the guesswork. The assistant asks a few quick questions, recommends the closest shade or formula, and offers smart alternatives when a product is unavailable.
The experience feels like chatting with a knowledgeable beauty advisor — someone who makes the decision easy and leaves shoppers feeling confident in what they’re buying.
Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations at bareMinerals UK says, “What impressed me the most is the AI’s ability to upsell with a conversational tone that feels genuinely helpful and doesn't sound too pushy or transactional. It sounds remarkably human, identifying correct follow-up questions to determine the correct product recommendation, resulting in improved AOV. It’s exactly how I train our human agents and BPO partners.”

Results:
When shoppers are buying gifts, especially for someone else, they often know who they’re shopping for but not what to buy. A vague product name or a half-remembered scent can quickly make the experience feel overwhelming without someone to guide them.
How Shopping Assistant helps:
Thoughtful guidance goes a long way. By asking clarifying questions and recognizing likely mix-ups, Shopping Assistant helps shoppers figure out what the recipient was probably referring to, then recommends the right product along with complementary gift options that make the choice feel intentional.
It brings the reassurance of an in-store associate to the online experience, helping shoppers move forward with confidence.

Results:
Finding the right bra size online is notoriously tricky. Shoppers often second-guess their band or cup size, and even small uncertainties can lead to returns — or abandoning the purchase altogether.
Many customers just want someone to walk them through what a proper fit should actually feel like.
How Shopping Assistant helps:
Searching for products is no longer a time-consuming process. Shopping Assistant detects a shopper’s search terms and sends relevant products in chat. Like an in-store associate, it uses context to deliver what shoppers are looking for, so they can skip the search and head right to checkout.

Results:
For shoppers buying personalized jewelry, the details directly affect the final result. That’s why customization questions come up constantly, and why uncertainty can quickly stall the path to purchase.
How Shopping Assistant helps:
Shopping Assistant asks about the shopper’s style preferences and customization needs, then recommends the right product and options so they can feel confident the final piece is exactly their style. The experience feels quick, helpful, and designed to guide shoppers toward a high investment purchase.

Results:
Decorating a home is personal, and shoppers often want reassurance that a new piece will blend with what they already own. Questions about color palettes, textures, and proportions come up constantly. And without guidance, it’s easy for shoppers to feel unsure about hitting “add to cart.”
How Shopping Assistant helps:
Giving shoppers personalized styling support helps them visualize how pieces will work in their home.
Shoppers receive styling suggestions based on their existing space as well as recommendations on pieces that complement their color palette.
It even guides them toward a 60-minute virtual styling consultation when they need deeper help. The experience feels thoughtful and high-touch, which is why shoppers often spend more once they feel confident in their choices.

Results:
When shoppers discover a new drink mix, they’re bound to have questions before committing. How strong will it taste? How much should they use? Will it work with their preferred drink or routine? Uncertainty at this stage can stall the purchase or lead to disappointment later.
How Shopping Assistant helps:
Clear, friendly guidance in chat helps shoppers understand exactly how to use the product. Shopping Assistant answers questions about serving size, flavor strength, and pairing options, and suggests the best way to prepare the mix based on the shopper’s preferences.

Results:
Shopping for health supplements can feel confusing fast. Customers often have questions about which formulas fit their age, health goals, or daily routine. Without clear guidance, most will hesitate or pick the wrong product.
How Shopping Assistant helps:
Shopping Assistant detects hesitation when shoppers linger on a search results page. It proactively asks a few clarifying questions, narrows down product options, and points shoppers to the best product or bundle for their needs.
The entire experience feels supportive and gives shoppers confidence they’ve picked the right option.

Results:
Shopping for kids’ furniture comes with a lot of “Is this the right one?” moments. Parents want something safe, sturdy, and sized correctly for their child’s age. With so many options, it’s easy to feel unsure about what will actually work in their space.
How Shopping Assistant helps:
Shopping Assistant guides parents toward the best fit right away. It asks about their child’s age, room layout, and safety considerations, then recommends the most appropriate bed or furniture setup. The experience feels like chatting with a knowledgeable salesperson who understands what families actually need as kids grow.

Results:
Even something as simple as choosing a toothbrush can feel complicated when multiple models come with different speeds, materials, and features. Shoppers want to understand what matters so they can pick the one that fits their routine and budget.
How Shopping Assistant helps:
Choosing between toothbrush models shouldn’t feel like decoding tech specs. When shoppers can see the key differences in plain language, including what’s unique, how each model works, and who it’s best for, they can make a decision with ease.
Suddenly, the whole process feels simple instead of overwhelming.

Results:
Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.
Here’s what stands out:
What this means for you:
Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.
If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.
Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.
If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.
Book a demo or activate Shopping Assistant to get started.
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TL;DR:
Conversational commerce finally has a scoreboard.
For years, CX leaders knew support conversations mattered, they just couldn’t prove how much. Conversations lived in that gray area of ecommerce where shoppers got answers, agents did their best, and everyone agreed the channel was “important”…
But tying those interactions back to actual revenue? Nearly impossible.
Fast forward to today, and everything has changed.
Real-time conversations — whether handled by a human agent or powered by AI — now leave a measurable footprint across the entire customer journey. You can see how many conversations directly influenced a purchase.
In other words, conversational commerce is finally something CX teams can measure, optimize, and scale with confidence.
If you want to prove the value of your CX strategy to your CFO, your marketing team, or your CEO, you need data, not anecdotes.
Leadership isn’t swayed by “We think conversations help shoppers.” They want to see the receipts. They want to know exactly how interactions influence revenue, which conversations drive conversion, and where AI meaningfully reduces workload without sacrificing quality.
That’s why conversational commerce metrics matter now more than ever. This gives CX leaders a way to:
These metrics let you track impact with clarity and confidence.
And once you can measure it, you can build a stronger case for deeper investment in conversational tools and strategy.
So, what exactly should CX teams be measuring?
While conversational commerce touches every part of the customer journey, the most meaningful insights fall into four core categories:
Let’s dive into each.
If you want to understand how well your conversational commerce strategy is working, automation performance is the first place to look. These metrics reveal how effectively AI is resolving shopper needs, reducing ticket volume, and stepping into revenue-driving conversations at scale.
The two most foundational metrics?
Resolution rate measures how many conversations your AI handles from start to finish without needing a human to take over. On paper, high resolution rates sound like a guaranteed win. It suggests your AI is handling product questions, sizing concerns, shade matching, order guidance, and more — all without adding to your team’s workload.
But a high resolution rate doesn’t automatically mean your AI is performing well.
Yes, the ticket was “resolved,” but was the customer actually helped? Was the answer accurate? Did the shopper leave satisfied or frustrated?
This is where quality assurance becomes essential. Your AI should be resolving tickets accurately and helpfully, not simply checking boxes.
At its best, a strong resolution rate signals that your AI is:
When resolution rate quality goes up, so does revenue influence.
You can see this clearly with beauty brands, where accuracy matters enormously. bareMinerals, for example, used to receive a flood of shade-matching questions. Everything from “Which concealer matches my undertone?” to “This foundation shade was discontinued; what’s the closest match?”
Before AI, these questions required well-trained agents and often created inconsistencies depending on who answered.
Once they introduced Shopping Assistant, resolution rate suddenly became more meaningful. AI wasn’t just closing tickets; it was giving smarter, more confident recommendations than many agents could deliver at scale, especially after hours.

That accuracy paid off.
AI-influenced purchases at bareMinerals had zero returns in the first 30 days because customers were finally getting the right shade the first time.
That’s the difference between “resolved” and resolved well.
The zero-touch ticket rate measures something slightly different: the percentage of conversations AI manages entirely on its own, without ever being escalated to an agent.
This metric is a direct lens into:
More importantly, deflection widens the funnel for more revenue-driven conversations.
When AI deflects more inbound questions, your support team can focus on conversations that truly require human expertise, including returns exceptions, escalations, VIP shoppers, and emotionally sensitive interactions.
Brands with strong deflection rates typically see:
If automation metrics tell you how well your AI is working, conversion and revenue metrics tell you how well it’s selling.
This category is where conversational commerce really proves its value because it shows the direct financial impact of every human- or AI-led interaction.
Chat conversion rate measures the percentage of conversations that end in a purchase, and it’s one of the clearest indicators of whether your conversational strategy is influencing shopper decisions.
A strong CVR tells you that conversations are:
You see this clearly with brands selling technical or performance-driven products.
Outdoor apparel shoppers, for example, don’t just need “a jacket” — they need to know which jacket will hold up in specific temperatures, conditions, or terrains. A well-trained AI can step into that moment and convert uncertainty into action.
Arc’teryx saw this firsthand.

Once Shopping Assistant started handling their high-intent pre-purchase questions, their chat conversion rate jumped dramatically — from 4% to 7%. A 75% lift.
That’s what happens when shoppers finally get the expert guidance they’ve been searching for.
Not every shopper buys the moment they finish a chat. Some take a few hours. Some need a day or two. Some want to compare specs or read reviews before committing.
GMV influenced captures this “tail effect” by tracking revenue within 1–3 days of a conversation.
It’s especially powerful for:
In Arc’teryx’s case, shoppers often take time to confirm they’re choosing the right technical gear.
Yet even with that natural pause in behavior, Shopping Assistant still influenced 3.7% of all revenue, not by forcing instant decisions, but by providing the clarity people needed to make the right one.
This metric looks at the average order value of shoppers who engage in a conversation versus those who don’t.
If the conversational AOV is higher, it means your AI or agents are educating customers in ways that naturally expand the cart.
Examples of AOV-lifting conversations include:
When conversations are done well, AOV increases not because shoppers are being upsold, but because they’re being guided.
ROI compares the revenue generated by conversational AI to the cost of the tool itself — in short, this is the number that turns heads in boardrooms.
Strong ROI shows that your AI:
When ROI looks like that, AI stops being a “tool” and starts being an undeniable growth lever.
Related: The hidden power and ROI of automated customer support
Not every metric in conversational commerce is a final outcome. Some are early signals that show whether shoppers are interested, paying attention, and moving closer to a purchase.
These engagement metrics are especially valuable because they reveal why conversations convert, not just whether they do. When engagement goes up, conversion usually follows.
CTR measures the percentage of shoppers who click the product links shared during a conversation. It’s one of the cleanest leading indicators of buyer intent because it reflects a moment where curiosity turns into action.
If CTR is high, it’s a sign that:
In other words, CTR tells you which conversations are influencing shopping behavior.
And the connection between CTR and revenue is often tighter than teams expect.
Just look at what happened with Caitlyn Minimalist. When they began comparing the results of human-led conversations versus AI-assisted ones over a 90-day period, CTR became one of the clearest predictors of success. Their Shopping Assistant consistently drove meaningful engagement with its recommendations — an 18% click-through rate on the products it suggested.
That level of engagement translated directly into better outcomes:
When shoppers click, they’re moving deeper into the buying cycle. Strong CTR makes it easier to forecast conversion and understand how well your conversational flows are guiding shoppers toward the right products.

Discounting can be one of the fastest ways to nudge a shopper toward checkout, but it’s also one of the fastest ways to erode margins.
That’s why discount-related metrics matter so much in conversational commerce.
They show not just whether AI is using discounts, but how effectively those discounts are driving conversions.
This metric tracks how many discount codes or promotional offers your AI is sharing during conversations.
Ideally, discounts should be purposeful — timed to moments when a shopper hesitates or needs an extra nudge — not rolled out as a one-size-fits-all script. When you monitor “discounts offered,” you can ensure that incentives are being used as conversion tools, not crutches.
This visibility becomes particularly important at high-intent touchpoints, such as exit intent or cart recovery interactions, where a small incentive can meaningfully increase conversion if used correctly.
Offering a discount is one thing. Seeing whether customers use it is another.
A high “discounts applied” rate suggests:
A low usage rate tells a different story: Your team (or your AI) is discounting unnecessarily.
This metric alone often surprises brands. More often than not, CX teams discover they can discount less without hurting conversion, or that a non-discount incentive (like a relevant product recommendation) performs just as well.
Understanding this relationship helps teams tighten their promotional strategy, protect margins, and use discounts only where they actually drive incremental revenue.
Once you know which metrics matter, the next step is building a system that brings them together in one place.
Think of your conversational commerce scorecard as a decision-making engine — something that helps you understand performance at a glance, spot bottlenecks, optimize AI, and guide shoppers more effectively.
In Gorgias, you can customize your analytics dashboard to watch the metrics that matter most to your brand. This becomes the single source of truth for understanding how conversations influence revenue.
Here’s what a powerful dashboard unlocks:
Some parts of the customer journey are perfect for AI: repetitive questions, product education, sizing guidance, shade matching, order status checks.
Others still benefit from human support, like emotional conversations, complex troubleshooting, multi-item styling, or high-value VIP concerns.
Metrics like resolution rate, zero-touch ticket rate, and chat conversion rate show you exactly which is which.
When you track these consistently, you can:
For example, if AI handles 80% of sizing questions successfully but struggles with multi-item styling advice, that tells you where to invest in improving AI, and where human expertise should remain the default.
Metrics like CTR, CVR, and conversational AOV reveal the inner workings of shopper decision-making. They show which recommendations resonate, which don’t, and which messaging actually moves someone to purchase.
With these insights, CX teams can:
For instance, if shoppers repeatedly ask clarifying questions about a product’s material or fit, that’s a signal for merchandising or product teams.
If recommendations with social proof get high engagement, marketing can integrate that insight into on-site messaging.
Conversations reveal what customers really care about — often before analytics do.
This is the moment when the scorecard stops being a CX tool and becomes a business tool.
A clear set of metrics shows how conversations tie to:
When a CX leader walks into a meeting and says, “Our AI Assistant influenced 5% of last month’s revenue” or “Conversational shoppers have a 20% higher AOV,” the perception of CX changes instantly.
You’re no longer a support cost. You’re a revenue channel.
And once you have numbers like ROI or revenue influence in hand, it becomes nearly impossible for anyone to argue against further investment in CX automation.
A scorecard doesn’t just show what’s working, it surfaces what’s not.
Metrics make friction obvious:
Metric Signal |
What It Means |
|---|---|
Low CTR |
Recommendations may be irrelevant or poorly timed. |
Low CVR |
Conversations aren’t persuasive enough to drive a purchase. |
High deflection but low revenue |
AI is resolving tickets, but not effectively selling. |
High discount usage |
Shoppers rely on incentives to convert. |
Low discount usage |
You may be offering discounts unnecessarily and losing margin. |
Once you identify these patterns, you can run targeted experiments:
Compounded over time, these moments create major lifts in conversion and revenue.
One of the biggest hidden values of conversational data is how it strengthens cross-functional decision-making.
A clear analytics dashboard gives teams visibility into:
Suddenly, CX isn’t just answering questions — it’s informing strategy across the business.
With the right metrics in place, CX leaders can finally quantify the impact of every interaction, and use that data to shape smarter, more profitable customer journeys.
If you're ready to measure — and scale — the impact of your conversations, tools like Gorgias AI Agent and Shopping Assistant give CX teams the visibility, accuracy, and performance needed to turn every interaction into revenue.
Want to see it in action? Book a demo and discover what conversational commerce can do for your bottom line.
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Your social media presence serves many purposes, from creating a brand image to testing out new product ideas. And whatever type of social media posts your brand creates, one thing is certain: people are going to reach out to you there.
Using social media as a support channel can be unwieldy and time consuming for ill-equipped teams. Customer inquiries pop up in many different places, like in the comments on your paid ads, in direct messages, or as comments on your posts. The tricky part is keeping up with the customer service issues that arise while still maintaining a positive, engaging presence.
However, the benefits of social media customer service outweigh the negatives, especially with the right tools and approach.
Below, learn how to leverage your social media channels for customer support in ways that stand out to your customers and support your team.
Social media customer service is when brands answer support queries through one or more social media platform. Support tickets often come in through direct messages (DMs) or as comments on paid ads or organic posts. This differs from social media marketing, as it’s a largely reactive type of engagement.
Service interactions on social media usually happen:
Social media can be used as a way to further connect with your customers and potential customers in the spaces they’re already active in. When teams answer support across different channels that seamlessly connect, that’s part of an omnichannel customer service approach. And, according to research from Shopify, 58% of people claimed that their purchase decision was influenced by getting support on their preferred channel.
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Beyond answering direct messages from customers on social media platforms, maintaining a brand presence on social media helps you keep tabs on mentions of your brand, as well as engage and provide customer support via comments or threads.
Showing customers that your brand is available whenever they have an inquiry builds trust. In fact, 69% of Facebook users in the U.S. who message businesses report that it makes them feel more confident about the brand, according to Meta for Business.
In addition, social media is a public form where anyone can view comments, whether they’re positive or negative. Everyone who looks at your brand’s social page will be able to take a look at what people are saying. Because of this, it can define what people think of you and change your brand’s perception.
These customer queries get the most eyes on them by far as compared to a one-on-one channel like email, direct messages, interacting with a chatbot, or making a phone call.
Not everyone wants to make a phone call when they need help.
Shoppers are more likely to actually reach out to you if they can do it on a channel they like, as opposed to not reaching out and just being upset and posting about that publicly, telling their friends, or simply never purchasing from you again.
📚Recommended reading: Should you delegate social media to your customer support team?
Customer support via social media differs from traditional email or phone support because it’s public, so your customer support team members’ responses are on display for others to see.
While emails, phone calls, or direct messages are handled privately, Instagram comments, public tweets, or Facebook comments are public to your entire audience. The way your support team handles these customer interactions could influence your future sales and brand perception.
Customer service requests on social media can get out of hand quickly because they can come in through many different channels in many different ways. If your team isn’t using some level of automation or a tool to capture each query, it’s easy to lose comments and ignore upset customers who really need support.
To provide excellent customer service on social media, your social media customer support reps have to consider the nuances of each social media platform as well. Depending on your brand, you may use LinkedIn, TikTok, or even Snapchat for customer service. Below, we focus on three of the most common social media channels.
According to research by the Pew Research Center, Facebook is the second most popular social media channel with 69% of US adults saying that they use it. The research center also found that Facebook is popular with all different demographics, so chances are you’ll find some of your target audience there. Because Facebook is such a large platform, it’s important that you have some sort of presence there.
📚Recommended reading: Best practices for using Facebook Messenger for customer service
When answering customer questions on Twitter, opt for speed. Twitter is built on the idea of immediacy and short-form in-the-moment takes. According to a study conducted by Twitter, one in four people Tweet at a brand because they want a faster response.
Note: Gorgias no longer supports Twitter interactions. But you can manage Facebook, Instagram, Messenger, SMS, and WhatsApp posts from within Gorgias.
Instagram has pivoted into a shopping platform. People are scrolling through family photos just as much as they’re shopping for items and discovering new ecommerce stores. According to Shopify’s Future of Commerce report, 30% of US internet users now make purchases without leaving the social platform they’re on. Now, Instagram claims that half of users use Instagram Shopping to make a purchase weekly.
📚Recommended reading: 9 Tips to Improve Customer Service on Instagram
There are four major strategies you can implement in order to use your social media customer service channels in the most successful ways possible.
As mentioned above, social media is casual and customers will reach out on social media instead of a traditional method because they want a genuine answer without the formalness of an email. Use Facebook, Instagram, Twitter, TikTok, or even WhatsApp to build relationships with your customers by having engaging conversations.
When a customer feels that your brand is being genuine they are more likely to trust you, become a loyal customer, and write a review or recommend your brand to their family and friends. This can lead to more new customers because 60% of consumers believe customer reviews are trustworthy, according to HubSpot Research. Even more, SuperOffice finds that 86% of customers are ready to pay more if it means they get a better customer experience. What all of this means is that building relationships with each and every customer will lead to the further success of your brand.
📚Recommended reading: The Ultimate Guide to Personalized Customer Service
When you’re replying quickly to a lot of questions, it's sometimes easy to forget that you’re essentially in a public forum. Make sure you have systems in place to prevent customers’ personal information like phone numbers, shipping addresses, or order numbers from being viewed by the whole internet. Additionally, in the event of more complicated issues, you can comment publicly and ask the customer to private message (DM) you to help them resolve their issue. This shows that your brand is responsive to customer comments, but also that you value your customers’ privacy.
If you’re using a helpdesk like Gorgias, you can send and receive DMs on Instagram, WhatsApp, and Facebook Messenger from right within your helpdesk. You can create a template, called a Macro in Gorgias, for moving public social media conversations to DMs.
📚Recommended reading: Your Live Chat Support Guide: Benefits, Best Practices, and Helpful Tools
Another great use for your brand’s social media account is sharing self-service content. Oftentimes, customers ask the same questions over and over again. To help them get their questions answered quickly and efficiently, it can be beneficial to track which questions are very common and put together a document or self-service page to direct them to.
Information that can be common to include in this type of document is contact information, return policy information, shipping information, and location information if your brand has brick-and-mortar locations. This proactive information also helps keep customer support freed up for the more complicated, in-depth customer inquiries coming through social media.
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Though it can be extremely beneficial to direct customers on social media to a separate webpage that allows for self-service options, consider sharing your most popular FAQs on social channels. This will create more ease of use for customers and potentially get their questions answered even quicker.
Depending on the size of your business, it may be a good idea to consider creating separate social media handles dedicated to customer support. This can be especially helpful for customers who have specific support needs. You can cross-promote your two different social pages on both accounts for ease of use. This way customers will be able to identify where to go for the quickest answer. In the event that a customer contacts the wrong social media account, it is important that a customer service rep responds to them from the correct account. This way, they’ll know where to reach out in the future.
This practice can also be beneficial for your internal teams, if you have two different teams within your organization managing social media. For example, your marketing team may be running ads and posting content, while your customer success team is sifting through comments and messages to tend to customers’ needs. Having two separate accounts can make it way easier on your internal teams, as well as keep everything more organized.
As mentioned previously, quick responses are vital to a great customer service experience. This is especially true in the context of social customer service. Social media moves extremely fast, and customers expect speedy replies.
The longer a customer service agent waits to reply, the less likely the customer will be satisfied with the support you provide. However, it can be a tricky balance to respond quickly (which you can measure with metrics like average response time and resolution time) while also maintaining quality (which you can measure with metrics like customer satisfaction or net promoter score).
If you’re first starting out with customer service on social media, it may be helpful to understand what your customer base expects. To do this, you can consider asking them to fill out surveys. Surveys can also be used to continuously track customer satisfaction.
📚 Recommeded reading: Our list of the most important customer support metrics to track.
This can be difficult outside of business hours, but if you have customer care team members who already work at night or on the weekends, this could help immensely. You can also dedicate space in your social profile’s bio to business hours and typical response times. This is a great way to manage expectations if you have a smaller team or are in an extremely busy time period.
When it comes to support, social media management gets challenging quickly. Even though your marketing team could attempt to keep up with comments or messages that require support, as your brand grows, it’ll only get harder.
A helpdesk like Gorgias has functionality that helps you to keep track of all social support mentions in one place, lets you create pre-written templates for common questions, and can even automate responses or like and hide posts on your behalf. It helps create workflow automations for your team to deal with high amounts of volume.
Before you implement a helpdesk like Gorgias, you’ll likely want to let your social team research what kind of responses do and don’t work for your target audience, and then start getting good results. Then, that’s where Gorgias comes in: Take those learnings, manufacture efficiency with Gorgias, and pass the support side of the channel onto your support team to set channels more on autopilot.
Here’s what you can respond to on each channel from Gorgias’s central platform.
Especially on paid ads, sometimes there are just too many comments for a small team to manage without letting support quality falter.
Gorgias lets you autorespond to posts based on sentiment, so you can like promoter posts or auto hide angry or inappropriate comments. Auto-liking shows engagement without spending tons of time on going through each post on every channel daily.
This has helped themed party apparel brand Shinesty increase revenue. “The Facebook ad commenting has been very interesting,” says CX Manager Cody Szymanski. “People have been converting right there thanks to a simple social interaction.”
“Having quick access to the side bar is super convenient and helps us turn our support agents into sales people. For instance, if a potential customer asks a question about sizing, the agent can quickly have a look at their previous order info,” the team at MNML shared.
This way, you can also see the customer’s entire history, including order info, past support interactions, and comments on social channels.
Most likely, you’ll start to see the same questions or comments come in across social channels. Gorgias lets you create Macros, or templates, for the most common customer service messages you get on social media. This saves time for your support team and gets resolutions to your customers faster.
Like a Facebook comment, send a shipping status in a private Instagram message, or answer questions on Instagram – all from Gorgias’s centralized helpdesk.
Now that you have some solid social media customer service strategies, the next step is to understand how to streamline the process through social media customer service tools. Below we’ll cover how Gorgias, Chatdesk, Gatsby, ShopMessage, and Octane AI could help your brand.
Gorgias is an all-in-one customer service platform built specifically for ecommerce brands that seamlessly integrates with your entire stack (Shopify and Shopify Plus, BigCommerce, and Magento).
Through the platform, you can manage all of your organization’s customer service channels in real time, from live chat to email to social media. When it comes to social media specifically, there are many integrations Gorgias has that can allow your team to transition to social media customer service while keeping sales flowing and without slowing down support.
Learn more about how Gorgias can help you manage social media customer service with ease.
Chatdesk is a social media monitoring app that allows your customer support team members to manage social moderation across Facebook, Instagram, and TikTok. It also integrates with email and chat.
Gorgias’ Chatdesk integration could be perfect for your brand if you strive to respond quickly — and around the clock — to all your Facebook comments, Instagram comments, DMs, and more. The app even allows for in-depth response personalization for your U.S.-based super fans.
Related: Our list of the best social media integrations for Shopify.
The next tool within Gorgias that will help your brand with social media customer care is Gatsby. Gatsby is a type of social listening app that allows your customer success team to view and track insights specifically on Instagram when responding to tickets, as well as track mentions and engagement for your brand. This tool can also be used to automate ecommerce influencer workflows
Here’s how it could work for you: With Gorgias and Gatsby integration, the tools can help you identify influential fans among your customer base. So, if someone is reaching out to support, you’ll be able to see if they are of “influencer status” thus, taking into account how they should be prioritized. This information can also be extremely valuable if you’re running customer engagement or customer satisfaction surveys.
If your organization is heavy on Facebook Messenger — or if you’re hoping to expand in that area — ShopMessage could be a worthwhile tool you can integrate within your already-existing Gorgias platform. This tool sends messages to customers that can drive sales. It can contact customers via Facebook Messenger about things like abandoned carts, browser abandonment, welcome communications, upsells, shipping notifications, and custom Messenger menus.
ShopMessage also has the capabilities to help your customer success team with Facebook Messenger Marketing by making it simple to set up automatic, personalized messages to your customers.
Octane AI works as a messenger bot platform to help you and your team automate your brand’s conversations on social media channels. It works like this: When a customer sends a message to your brand via social media, Octane AI will automatically create an open ticket in Gorgias.
Learn more about how Gorgias and Octane AI integrate.
Finally, to complete your understanding of social media customer service, we’ve rounded up some real-life examples of companies using social media for customer service. We hope these leaders of industry can inspire your future strategies.
Trendy squeezable olive oil shop Graza has become the choice for influencers filming content in their kitchens. The fun bottles are filled with liquid gold: high quality olive oil for sizzling and drizzling. With 24k followers on Instagram, the brand is growing, and its audience is highly engaged.
Recently, the brand ran a big promotion — but a loyal customer missed out because they had made a big order before the sale started. Graza responded to their comment, asked them to send in a DM, and implied that they would honor the promotion on that order.
Graza uses Gorgias to help manage their social media interactions at scale.
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Nike currently has 9 million followers on its main Twitter page, @Nike, and about 202,000 followers on its customer service Twitter page, @NikeService. Nike is a perfect example of a brand utilizing both types of social media accounts to its advantage. For example, the brand often receives complaints from upset customers on its main Twitter account, but responds to the customer with its @NikeService account.
Here’s an example of a recent Twitter exchange where Nike handled a negative comment from an unhappy customer with ease and professionalism.
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Technology company known for its action cameras, GoPro is another great example of solid social media customer service. The brand doesn’t have dedicated customer service accounts on social media, but is highly active and quick to respond to customers posing questions in the comments on their Instagram, Twitter, and Facebook pages.
For technology companies especially, it’s highly beneficial to have customer success reps who can answer customer questions with precision and accuracy. However, regardless of the industry your company is in, quality should always be a priority when responding to customers on social media. This also helps signal to other customers that you take your social media seriously, thus making others feel more comfortable to reach out there if they have a question or concern.
Here’s one recent example of an in-depth response to a vague GoPro customer inquiry.
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Beyond staying on top of customer inquiries and troubleshooting on social media, the opportunity social media presents when it comes to building customer loyalty and brand identity can’t be overstated. Starbucks is a great example of a brand that is doing just this. The company has a distinct voice on all of its social media pages (Facebook, Twitter, Instagram, and TikTok) as it interacts with customers on a daily basis. Even something as simple as a heart emoji on Instagram comments, or a quick, sweet encouragement when a customer comments about how much they love a signature Starbucks creation can do a lot to create a brand that customers want to interact with. This also helps customers feel more connected to the brand.
Starbucks also takes this approach further when it comes to responding to customer suggestions. For example, the Facebook post below shows a concerned customer sharing their ideas about creating more accessible Starbucks stores after the brand shared a post about its commitment to inclusivity and accessibility. Starbucks responds promptly and thanks the customer along with more information about how the company is sticking to its inclusivity and accessibility goals.
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Online home decor and furniture retailer Wayfair is another brand with standout social media customer service chops. Though the brand doesn’t have separate customer service social media channels, it is constantly keeping up with customer comments. Wayfair currently has 78,000 followers on Twitter, over 7 million likes on Facebook, and 1.7 million followers on Instagram.
Through its social channels, the company displays another great way to interact with customers on social media about its products. Because the brand sells home goods, many social posts are interior design photos featuring their furniture, which elicits a lot of customer questions about which pieces are which, and where they can purchase them. Wayfair does a great job of responding to customers’ product questions with clear and concise information. Take a look at one example below:
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Lastly, we want to highlight the video game console company Xbox. The worldwide success of the company means there are also a lot of customers who have questions and want their voices heard. Xbox does a great job responding to customer complaints and questions via Facebook, Twitter, and Instagram, however, the brand also makes it a point to have some fun with their responses, too — further connecting with customers on a personal level.
It can be really challenging for massive brands to show personality and remind customers that there are people behind the scenes who actually care and like to have fun, but social media is the perfect channel to make this fact known. The brand recently launched a marketing campaign featuring actor Andre Braugher where he is promoting Xbox’s new All Access monthly subscription service. The video was posted to all of Xbox’s social channels, and the brand took the opportunity to connect with customers in the comments.
Here are a few snapshots of how they are doing it:
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From troubleshooting customer issues and answering their questions to simply showing off your brand's personality, social media customer service can be an extremely effective avenue to explore to boost your company’s customer experience quality.
Jumping into social media customer service for the first time can be exciting but also a lot of work, so to help make the process a bit easier, we recommend checking out Gorgias for an all-in-one solution for your customer service team that also has standout live chat tools and amazing integrations.
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As an ecommerce store owner, the prospect of losing 70% of your sales probably makes your heart drop. But according to the Baymard Institute, that’s exactly what’s happening: 69.82% of online carts are abandoned.
Even with the ecommerce shopping cart best practices in place, brands of all sizes struggle to get customers to place an order. The good news is that a handful of tweaks to your site’s user experience can greatly reduce cart abandonment.
Below, we’ll dive into some actionable solutions — ranging from offering free shipping to simplifying your checkout process — to lower your abandonment rates and boost your sales.
Shopify cart abandonment occurs when a customer who’s online shopping on a Shopify store adds items to their cart but leaves the website before making the purchase. Ecommerce businesses that track cart abandonment do so by determining the rate of customers who add items to their cart against the rate of purchases.
The formula to calculate your cart abandonment rate is:
[Completed purchases / Carts created] x 100 = Cart abandonment rate
Online shopping is a bit like browsing a shopping mall because you can browse a wide variety of stores without much buying intent. You may carry a few items around the store while you consider buying them, but you may put them down on a shelf and leave for another store — especially if the store associate doesn’t catch you in time to close the sale.
Shopify cart abandonment represents the online version of that lack of commitment — with even less commitment because online shoppers can get distracted by a text message or leave your store without moving an inch. Fortunately, you can tweak your Shopify store to reduce cart abandonment, just like the in-store associate.
But before we share the steps you can take, let's explore the frequency and impact of the overall Shopify cart abandonment problem.
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Reducing shopping cart abandonment is one of the most effective ecommerce growth tactics. Rather than spending tons on ads to get new audiences to your site, you’re instead maximizing the value of the visitors you already get. (And what’s the point of more visitors if they don’t end up placing orders?)
Here are nine of our best tips for reducing cart abandonment to grow your ecommerce business.
You could pick one of the tactics below and cross your fingers that it improves your cart abandonment rates. But you’ll see much better results by using your store’s data to come up with a strategy based on the highest potential impact for your unique store.
Dig into your cart abandonment data to strategize where you can make the most impactful changes. Specifically, you’ll want to pull data like:
With information like this, you can better identify trends that can affect other areas of your ecommerce strategy. For example, if you notice that the majority of your carts are abandoned before the winter holidays, you may want to consider running a Black Friday promotion. Alternatively, you may also learn that your abandoned carts:
As we mentioned above, unexpected taxes, fees, and shipping costs are the most common reasons shoppers abandon carts. For context, 82% of shoppers say they’d rather have free shipping than expedited shipping. And shoppers are used to free and fast shipping because of services like Amazon Prime, so it’s becoming an even bigger disadvantage to require paid shipping.
For some ecommerce stores, especially new or small ones, free shipping for the entire site catalog isn’t always a sustainable option. So instead, offer free shipping for carts that meet a free shipping threshold.
Check out our article on how to offer free shipping for more information.
Once you have a compelling shipping offer, use it as a marketing tool. Mention your free shipping in website banners, on checkout pages, and even on product pages. Look how Jaxxon, a luxury men’s chain retailer, clearly lets the shopper know how much they’ll have to spend to unlock free shipping right from the product page:

Rewards, timely discount codes, and other incentives can push customers over the edge to make a purchase.
Parade, a DTC underwear brand known for its referral programs, uses a refer-a-friend program to get discount codes into the hands of people who haven’t yet shopped at your store. This is particularly smart because first-time shoppers tend to be the most hesitant (and therefore abandon the most carts). But the discount code and social proof from the referring friend work together to push shoppers toward a purchase:

Discount codes and referral programs available to everyone will likely reduce cart abandonment but you should target customers with items in their cart (or customers who recently abandoned a cart) for the greatest impact. Live chat can help you target customers still shopping while exit-intent pop-ups and follow-up SMS or email can help with customers who already left your site. We’ll cover both strategies below.
Incorporate live chat, including proactive chat campaigns, as a way to help your customers during the checkout process and boost sales. A whopping 79% of stores that have live chat enabled report its positive impact on their sales and customer experience.
Every store should enable live chat for support because it’s such a fast, appealing option for customers, especially when they’re actively considering a purchase. Say that a customer isn’t placing an order because they’re not sure whether a small or medium size would fit. If you have a visible (but not intrusive) live chat option in your ecommerce store, the customer can quickly type in their question and ideally have a resolution from your support team or chatbot in minutes:

With certain live chat apps, you can also take a more proactive approach to drive sales through your live chat widget. You can automatically reach out to certain customers (like shoppers hovering on the checkout page for more than a minute, or shoppers with a certain amount of merchandise in their cart) to ask if they have questions, offer discount codes, or remind them that you offer free shipping if they reach a certain amount (to drive upsells).
With Gorgias’ live chat campaigns feature, you can customize your greetings — the below example gives a friendly welcome to people who visit a specific product page:

One simple way to reduce cart abandonment is to offer as many payment options as possible. If customers make it to your checkout page only to find they have limited options to pay — especially if those options require them to divulge personal information — they are more likely to abandon the purchase.
If you have a Shopify store, you can use Shopify Payments to easily accept a wide variety of payment options like credit cards, Apple Pay, and Google Pay without any third-party fees. If you don’t have Shopify Payments enabled, you’ll still be able to use major payment providers (like Paypal) to accept payments, but you may be stuck with limited payment options and fees.

Reducing friction throughout your checkout process is another way to reduce abandoned checkouts. Get rid of unnecessary forms, fields, and questions that may turn your customers away from your store. Likewise, create large checkout buttons that make it obvious how to complete a purchase with the fewer clicks possible. If you’re still creating your store, you may want to try finding a Shopify theme with a streamlined checkout page.
One tip to optimize your checkout process is to include a Buy Now button on the product page itself. This streamlines the buying process and gives shoppers fewer off-ramps away from your website. Check out CROSSNET’s clear button guiding users to make a purchase — not just add items to a cart that will later get abandoned:

This is technically an additional tip to simplify your checkout process, but it’s impactful enough to warrant its own section. While you want customers to create an account for future marketing opportunities, forcing shoppers to create an account in order to place an order halts momentum during the checkout process and turns people off from your store.
Instead, offer a guest checkout option with the choice to make an account for easier purchases next time they come to your store. Or, to make checkout even easier, consider adding one of Shopify’s dynamic checkout buttons. With an express checkout option like Amazon Pay, customers can complete a purchase without even typing out their billing and shipping information by retrieving that information from another service.
Check out CROSSNET’s store, which offers multiple express checkout options:

Making your checkout experience simple is a great start, but some customers may need one final push to place an order. Exit-intent pop-ups, or pop-ups that appear when a customer attempts to leave your store, can be the last-minute nudge (or discount code) that convinces customers to place an order.
You can add a pop-up to your Shopify store through a Shopify app like Privy or Pop-Up Window. However, practice caution with any sort of pop-up. Some customers will get frustrated if pop-ups interrupt their browsing experience, so make sure you provide value with each pop-up and keep a close eye on your purchase data to ensure they don’t hurt your store’s performance.

Check out our guide to Shopify pop-ups for more information.
Personalized push notifications can also be a helpful follow-up tool to help customers return to their carts. Push notifications give the customer a visual of the products still in the cart with clear calls to action. This helps remind customers that they still have unpurchased items waiting to be checked out.
SMS and email are other great options to reach customers even if they don’t return to your store. You can even create a full SMS or email campaign with an automated workflow that triggers emails to customers after a certain amount of time has passed, or after they revisit your website.
Check out this example of a cart recovery email from Braxley Bands, which is a great example of how you can recover carts with humor and attitude — or whatever your brand voice may be.

Another technique you can consider to help bring customers back to their carts in your online store is retargeted ads. Retargeting allows you to get ads in front of customers who visited your website and gave you their information — but didn’t purchase an item.
Most retargeted ads appear in the shopper’s social media feeds in the days after the abandoned checkout. They typically feature an image of the abandoned product, a new-and-improved discount, and a clear call to action (CTA) to purchase the item.
Take a look at this example of a retargeted Facebook ad from Pact Apparel:

While retargeted ads work better than most ads, they still have a clickthrough rate of only .7%, so they may cost more than they provide in terms of recovered purchases.
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To limit shopping cart abandonment and encourage customers to make their purchases, you might need the help of some additional apps and tools.
A better overall customer experience can significantly lower your business’s cart abandonment rate. Why? Customers depend on things like an FAQ page, clear returns policies, and customer support to gain the information and trust they need to make a purchase.
Gorgias is a customer service platform specifically designed to help ecommerce merchants boost revenue through customer experience. Some of the features that help Shopify stores reduce cart abandonment include:
Sign up for a demo of Gorgias to see how we can help you reduce cart abandonment rates, improve customer experience, and drive revenue.
Recart is an app specifically designed to help you recover sales from cart abandonment. It uses Facebook Messenger to send out push notifications on social media to your customers. It can send out reminders for abandoned carts and order-related messages like shipping notifications and receipts, and has pre-written templates for messages to help you save time and optimize your ecommerce cart recovery processes.
See how Gorgias integrates with Recart.
LoyaltyLion is a loyalty-building tool that helps you stand out from your competitors and offer great benefits and rewards to your customers. When a customer is happy with your brand and knows that checking out leads to great rewards down the line, they are much less likely to abandon their carts and instead will return due to the positive experience and relationship you have established with them.
See how Gorgias integrates with LoyaltyLion.
Smile is an app and platform that helps with customer retention. It gives points and rewards to customers that invite others to join them and sign up for your ecommerce rewards program. This helps to increase your customer retention rates and expand your ecommerce business’s customer lifetime value. You can also use Smile to nurture your customers and encourage them to engage with your rewards program.
See how Gorgias integrates with Smile.
Bulk Discount Code Generator allows you to save time and effort while reducing coupon abuse. You can generate reliable discount codes and coupon codes to use with orders on your ecommerce site without difficulty. You can then use those codes in pop-ups, email sequences, win-back strategies, loyalty programs, and more.
PushOwl is a push notification app that directly sends push notifications to mobile devices or desktops. You can quickly get out short, punchy messages that readers can easily consume and respond to. PushOwl is also a great tool with functionality for gathering important data and information from users and is especially effective for mobile shoppers, which are responsible for the highest rate of abandonment per platform.
Omnisend is a complete marketing app for Shopify. It offers advanced segmentation, pre-built automated emails and workflows, email templates, drag-and-drop editors, email list-building capabilities, and powerful analytics. In addition to all of this, Omnisend also has SMS marketing and push notification tools that you can use to create a sense of urgency for your abandoned carts with limited-time deals and time-sensitive rewards. You can also use A/B testing on your email subject lines and track open rates for your cart abandonment emails. Omnisend takes a lot of the work out of using Shopify and increases checkout purchases.
See how Gorgias integrates with Omnisend.
Privy is an ecommerce marketing platform that helps ecommerce store owners increase their store’s conversion rates. The platform offers SMS, email marketing, and pop-ups to stop customers before they leave without making a purchase (or draw them back if they’ve already left).
Cart abandonment is a major issue that affects most ecommerce businesses. As we mentioned above, nearly 70% of all carts are abandoned.
The type of device your customers are shopping on can play into your company’s cart abandonment rate. According to the study linked above, the average cart abandonment rate per device is:
The time of year impacts cart abandonment as well. For example, the surge in people shopping online during Black Friday and Cyber Monday typically results in a higher cart abandonment rate due to the higher number of shoppers.
Some people who abandon their carts do eventually come back to buy the items. Statista’s 2021 study of U.K. shoppers uncovers the following interesting information about consumers’ post-abandonment behavior:

In order to know where the majority of your customers fit into these numbers, it’s important for you to first understand why your customers are abandoning their carts and leaving your ecommerce site before they can checkout.
Understanding why customers leave your checkout page in the first place is key to reducing your number of abandoned shopping carts. According to Baymard Institute, there are five top reasons why online shoppers abandon their carts without making a purchase:

Despite how frustrating cart abandonment is, there are solutions to help guide your customers to complete your checkout process and boost your bottom line. Take a look at how Gorgias customer, Lillie’s Q, was able to increase total sales by 166% with cart-saving support:
“Gorgias' chat allows us to respond to our customers in real time. We can answer customers' questions about a product and how to place an order without them leaving the site or abandoning their cart. We have seen a 75% increase in direct sales as a result of this quick communication.” - Nicole Mann, Marketing Director
Gorgias is an ecommerce helpdesk platform that turns your customer service team into a revenue-generating machine. With Gorgias, you can create an exceptional customer experience that not only encourages your customers to check out, but to come back to your ecommerce business for future purchases. To learn more, check out our case study of three businesses that increased sales with live chat or sign up for Gorgias today.

TL;DR:
Live chat software gives ecommerce brands a direct line to shoppers. It helps you connect when they're browsing products, stuck at checkout, or waiting for order updates. The right tool converts more visitors and reduces repetitive support tickets. It also helps your team deliver personalized experiences at scale.
But these benefits only happen when you choose the right tool and use it strategically. This guide breaks down the top live chat software for ecommerce, the features that drive results, and how to choose the right fit for your team.
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Based on 2025 Gorgias data, brands receive nearly twice as many chat interactions as email. This indicates that shoppers value real-time conversations. For brands, failing to provide instant channels such as chat means missing the opportunity to build trust with shoppers, new and old.
Here’s why live chat is a must-have for any ecommerce brand.
Live chat reduces friction at high-intent moments, whether shoppers are viewing product pages, sitting at checkout, or comparing options. Real-time support answers questions that would otherwise lead to abandoned carts.
Proactive messaging takes this further by triggering conversations before customers even ask. A simple "Is there anything I can help you with today?" on a product page can increase conversions by offering personalized recommendations or addressing concerns about sizing, shipping, or returns.
Customers who engage with live chat before purchasing see higher average order values. They're more confident in their decisions, more likely to add complementary products, and less likely to abandon their carts.
Repetitive questions like "Where is my order?" drain agent time and slow response times for complex issues. Self-service flows automate these interactions by letting customers track orders, initiate returns, or check product availability without waiting for an agent.
Self-service can deflect up to 50% of tickets, freeing your team to focus on conversations that drive revenue and loyalty. Chatbot handoff ensures customers can still escalate to a live agent when automation can't resolve their issue.
Faster response times directly impact customer satisfaction. Live chat reduces first response time from hours to seconds, and omnichannel support — chat, email, phone, and social — lets customers reach you on their preferred channel. Personalized support builds trust and encourages repeat purchases.
Arc’teryx saw a 75% lift in conversions from support conversations after implementing AI chat with self-service capabilities. When customers feel heard and supported, they come back.
Not all live chat software is built the same. Your best choice depends on your platform, team size, and goals. Here are our top picks for common ecommerce scenarios.
Gorgias is the only Shopify Premium Partner for customer service, with deep integration, two-way sync, and order management built in.
Gorgias AI Agent automates up to 60% of repetitive tickets, from 'where is my order?' (WISMO) inquiries to returns.
Tidio’s Lyro offers similar capabilities at a lower price point.
Tawk.to offers free live chat with basic features, ideal for small teams testing the channel.
Note: No revenue attribution or advanced AI.
We've narrowed the field to five live chat platforms that excel for ecommerce stores. Each offers deep integrations, automation capabilities, and the flexibility to scale with your business.
Tool |
Best For |
Starting Price |
Key Feature |
|---|---|---|---|
Gorgias |
Shopify stores |
$10 USD/month |
AI Agent + revenue attribution |
Tidio |
Affordable AI |
$25/month |
Lyro chatbot |
LiveChat |
Automation |
$16/month |
200+ integrations |
Zendesk Chat |
Enterprise |
Custom |
Zendesk Suite integration |
Re:amaze |
Multichannel |
$29/month |
Omnichannel inbox |
Tawk.to |
Small teams |
Free |
Simple UI |
Gorgias is a conversational AI platform built for ecommerce, with deep Shopify integration, AI Agent, and revenue tracking. It's the only Shopify Premium Partner for customer service, meaning it's designed from the ground up for online stores.
Gorgias is best for Shopify stores that want to automate support, increase sales, and track revenue from chat conversations. Works seamlessly with BigCommerce and Magento as well.
Pricing for Gorgias includes multiple tiers. Starter plans start at $10 USD/month. Gorgias also offers a customizable Enterprise plan for clients handling more than 5,000 tickets per month.
With a wide range of plans to choose from and affordable pricing, Gorgias is an excellent solution for both small to medium-sized ecommerce businesses and larger brands. Its built-in chat works seamlessly with Shopify, BigCommerce, and Magento.
Gorgias's live chat solution is part of a large customer experience ecosystem. This makes it an excellent option for anyone who wants a fully featured customer service solution.
Tidio combines live chat with Lyro, an AI chatbot that handles common questions and qualifies leads. It's an affordable option for small to midsize teams looking to add AI automation without enterprise pricing.
Small to midsize teams looking for affordable AI automation.
Limitation: Less robust reporting and revenue attribution than Gorgias.
Tidio's AI features are centered on its Lyro chatbot. It handles FAQs, qualifies leads, and learns from past conversations to improve over time.
Tidio is free to download and use for basic features. Paid plans start at $25/month and include premium features such as chatbot templates and visitor monitoring.
As one of the more capable free-to-use live chat solutions, Tidio is one of the better options for anyone who wants to offer live chat support without having to pay a subscription fee initially.
LiveChat is a mature live chat platform with 200+ integrations and strong automation features. It's more general-purpose than Gorgias, but less ecommerce-specific.
Teams that need deep integrations with CRM, email, and marketing tools beyond ecommerce platforms.
LiveChat starts at $16 per month per agent billed annually for the Starter plan and moves up to $50 per month per agent billed annually for the Business plan. LiveChat also offers a customizable Enterprise plan.
The per-agent fee structure may not be cost effective for businesses with medium or large customer support teams. LiveChat is a good option if you can justify the cost. The per-agent fee starts at a minimum of $16 per month.
Zendesk Chat is part of Zendesk Suite, designed for enterprise teams with complex support needs. It's a solid choice if you're already using Zendesk for ticketing.
Large teams already using Zendesk for ticketing and help desk management.
Note: Typically more expensive and complex than Gorgias or Tidio.
Zendesk offers several different plans that range from free to $59 per agent per month. Custom pricing is available for enterprise needs.
If you only have one agent handling live chat customer support tickets then Zendesk is a great solution to consider since you will be able to access all of its features free of charge. Zendesk is also a great live chat option for Shopify store owners since its Shopify extension is well-polished, according to user reviews.
Re:amaze offers multichannel support including chat, email, SMS, and social in one inbox. It's a solid choice for teams that want omnichannel support without a high price tag.
Teams that want omnichannel support at an affordable price point.
Re:amaze starts at $29/month with multiple tiers available based on features and team size.
Small to midsize ecommerce teams looking for multichannel support without enterprise-level complexity or cost.
Tawk.to is a free live chat platform that offers unlimited agents, unlimited chats, and basic CRM features. It's designed for small ecommerce stores testing live chat without upfront costs, though user reviews on Shopify are mixed.
Small teams or solo entrepreneurs who need basic live chat functionality without monthly fees.
Limitation: Users report inconsistent support and functionality issues. No revenue attribution or advanced ecommerce analytics.
Tawk.to offers Smart Reply, an AI feature that generates response suggestions based on your knowledge base and conversation context. Agents click a button to see what the AI suggests, then can send it as-is or edit before replying.
However, Smart Reply is not fully autonomous — agents must be online and actively monitor conversations to use it.
Free for all core features including unlimited messaging, ticketing, and agent seats. Optional paid add-ons include:
Tawk.to offers truly free live chat with Shopify order management and unlimited seats—ideal for budget-conscious stores. However, the 3.0-star rating on Shopify reflects concerns about reliability and support. It's worth testing for basic chat needs, but stores serious about conversational commerce may want to invest in more robust platforms like Gorgias or Tidio.
Not every live chat platform offers the same capabilities. When evaluating options for your ecommerce store, prioritize tools that include these essential features:
Feature |
Why It Matters for Ecommerce |
|---|---|
Shopify integration |
Edit orders, view customer history, and resolve issues without leaving chat |
AI automation |
Deflect repetitive tickets and free up agents for high-value conversations |
Revenue attribution |
Track which chat conversations lead to purchases and calculate return on investment (ROI) |
Your live chat software should integrate directly with your ecommerce platform — Shopify, BigCommerce, WooCommerce, or Magento. These integrations let you see order data, edit orders, and view customer history without switching tabs.
Example: A customer asks to change their shipping address. With Gorgias, you can update it directly from the chat window without logging into Shopify separately.
Deep platform integration also means your support team has context for every conversation. They can see what products a customer viewed, their order history, and whether they've contacted support before, without asking the customer to repeat themselves.
AI automation handles repetitive inquiries so your agents can focus on complex issues and revenue-generating conversations. The most common use cases for chatbots in ecommerce include order tracking (WISMO), returns and exchanges, and frequently asked questions about shipping policies or product details.
AI agent features take automation further by automatically replying, detecting sentiment, auto-tagging conversations, and escalating conversations to team members based on content. This speeds up response times and ensures consistent answers across your team.
AI Agent can automate up to 60% of tickets by pulling order status from Shopify, processing return requests, and answering policy questions — all without human intervention.
Related: Our list of 150+ high-value ecommerce apps.
Revenue attribution links chat conversations to purchases, letting you prove the ROI of your live chat channel. Without this capability, your support metrics lack context. You might see fast response times, but you won't know if those conversations actually drive sales.
For JavaScript snippet installation, copy the code from your live chat provider and paste it into your site footer before the closing </body> tag. This loads the chat widget on every page of your site.
For Shopify or WooCommerce stores, the easier route is installing the app from your platform's app store. No coding required. Gorgias, for example, installs in one click from the Shopify App Store and automatically syncs customer and order data.
Once your widget is live, set up proactive triggers and self-service flows to maximize its impact. Proactive triggers start conversations based on visitor behavior — for example, triggering a chat after 30 seconds on a product page or when a shopper adds an item to cart.
Example trigger rule: If a customer is on the checkout page for 60 seconds, send: "Need help completing your order?"
Self-service workflows automate common requests like order tracking and returns. When a customer types "Where is my order?" the chatbot pulls tracking information from your ecommerce platform and displays it instantly. This deflects tickets and reduces wait times.
Live chat analytics fall into two categories: support KPIs that measure team performance and sales metrics that show business impact. Track both to understand how well your live chat channel performs and where to invest resources.
Metric |
Definition |
Why It Matters |
|---|---|---|
CSAT |
Customer satisfaction score |
Measures how happy customers are with chat support |
FRT |
First response time |
Faster responses lead to higher satisfaction and conversion |
AHT |
Average handle time |
Lower AHT means agents can handle more chats efficiently |
Resolution rate |
% of tickets resolved on first contact |
Higher resolution rate reduces follow-up volume |
Attributable revenue |
Revenue from customers who chatted before purchasing |
Proves ROI of live chat channel |
Customer satisfaction (CSAT) measures how happy customers are with your support. Live chat typically achieves higher CSAT scores than email or phone because responses are faster and more convenient. Aim for CSAT above 90%.
First response time (FRT) tracks how long customers wait for an initial reply. Live chat reduces FRT from hours (email) to seconds (chat). Target FRT under two minutes for live chat conversations.
Average handle time (AHT) shows how long it takes to resolve a conversation. Lower AHT means agents can handle more chats efficiently. Use Macros and AI-suggested replies to reduce AHT without sacrificing quality.
Resolution rate measures the percentage of tickets resolved on first contact. Aim for a resolution rate above 70%. Higher resolution rates reduce follow-up volume and improve customer satisfaction.
Revenue attribution shows which conversations lead to purchases. If 100 customers chat before purchasing, and their average order value is 10% higher than non-chat customers, you can quantify the revenue lift from your live chat channel.
Prove ROI with revenue attribution by connecting your live chat platform to your ecommerce platform. Gorgias shows which conversations led to purchases and calculates attributable revenue automatically. This helps you make data-driven decisions about staffing, automation, and channel investment.
Choosing the right live chat software depends on your ecommerce platform, team size, support volume, and budget. Use this checklist to evaluate options:
Team size affects your pricing model. Per-seat pricing works for small teams; usage-based pricing scales better for high-volume stores.
If you promise two-minute response times, choose a tool with proactive triggers and AI automation to help your team meet that service level agreement (SLA).
How many concurrent chats can each agent handle? A five-person team handling 100 chats per day needs a tool that supports multiple concurrent chats per agent and intelligent routing to prevent overload.
If you serve EU customers, choose a tool with GDPR-compliant data handling. Look for SOC 2 certification and understand where your customer data is stored.
Does it integrate with your existing tech stack? Check for integrations with your email platform (Klaviyo, Mailchimp), shipping provider (ShipStation), and returns app (Loop). The more connected your tools, the more context your support team has for every conversation.
The best live chat app is part of a comprehensive customer service platform that includes features such as phone support and a helpdesk with a ticketing system. If you'd like to provide your customers with plenty of support options and optimize your CS team's internal workflows, look for all-in-one platforms.
Still looking for the right live chat app? Check out our list of the best live chat apps in general, not just for ecommerce.
Gorgias is the only live chat platform built for ecommerce, with deep Shopify integration, AI Agent, and revenue tracking built in. While all of these solutions offer great chat boxes, only Gorgias makes design decisions based on conversations with ecommerce brands and integrates with all the ecommerce tools you already use.
See how Gorgias can help you convert more browsers into buyers. Book a demo today.
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TL;DR:
Today, order visibility is table stakes. Around 50% of consumers actively track their order status to confirm it's progressing smoothly and staying on schedule.
Whether it’s order anxiety or excitement, shoppers want to see their order's status and location at any given time. Even better when they can get real-time alerts via SMS or at each point in an order’s journey.
So if you haven’t set up order tracking yet, now’s the time, because your customers already expect it. Here’s everything you need to know about the benefits of tracking customer orders and how to implement an order tracking tool for your Shopify store.
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Ecommerce vendors like Amazon have normalized order tracking. Today, most, if not all, customers expect to know where their order is.
Offering real-time tracking data for orders benefits both your customer and your business in five distinct ways:
Recommended reading: Ecommerce returns: 10 best practices for taking your online store to the next level
Here’s how to set up order tracking for Shopify stores:
As an example, we’ll show you how to set up order tracking on a Shopify store with AfterShip Tracking.
First, choose an order tracking tool like ShipBob, ShipStation, or AfterShip. These tools pull order information, tracking numbers, and shipment status to generate shipping updates for your customers.
Pro Tip: It’s best if your order tracking app integrates with your helpdesk, so that you can offer faster, context-rich customer support.
Read more: 12 best shipping software tools for ecommerce stores
Install your order tracking app of choice via the Shopify App Store. For us, it will be AfterShip Tracking.
To complete the integration, go to the AfterShip Tracking dashboard. Click Apps > View more apps > Shopify > Install app. You’ll be redirected to your Shopify settings. Read through the privacy and permission details and click Install app.
Pro Tip: Not sure if you did it correctly? Your store URL will be labelled as “Connected” on the Shopify connection page.

Time to load your order tracking app with your Shopify data. This is a crucial step to ensure your app uses your courier and order details.
On Aftership Tracking, go to Apps > Store connections > Actions to set up these two actions:

Finally, connect your order tracking app to your helpdesk.
When customer messages, shipping data, and tracking information are connected, your team can:

Read more: How to connect AfterShip Tracking to Gorgias
It’s important to make order tracking accessible to customers, wherever they are. And since more than 68% of orders are done through smartphones, it’s critical to design every tracking touchpoint with a mobile-first experience in mind.
Order tracking should be available in:
Depending on your needs and the ecommerce platform you use, choose from options that are both scalable and flexible.
ShipBob is a global logistics platform that helps ecommerce brands provide fast, affordable shipping and best-in-class order fulfillment. Its connected technology and fulfillment network improve delivery times, reduce costs, and elevate the customer experience.
Standout features:
Check out ShipBob in the Shopify App Store or the BigCommerce App Store.
AfterShip is a shipment tracking and notification platform that helps ecommerce brands keep customers informed and improve delivery transparency. It streamlines post-purchase communication and makes it easier to spot delivery issues before they affect customer experience.
Standout features:
Check out AfterShip in the Shopify App Store and the BigCommerce App Store.
ShipStation is a shipping software solution that helps ecommerce businesses save time and money by comparing carrier rates and delivery times in one place. It automates shipping workflows to ensure customers get fast, cost-effective delivery.
Standout features:
Check out ShipStation in the Shopify App Store and the BigCommerce App Store.
ShipMonk is a third-party logistics (3PL) provider that helps ecommerce businesses scale with fast, affordable fulfillment services. Its technology-driven platform streamlines order, inventory, and warehouse management to deliver a seamless post-purchase experience.
Standout features:
Check out ShipMonk in the Shopify App Store.
Whether you ship 50 or 50,000 orders a month, Easyship can help you lower shipping costs and increase conversion rates. Use this extension to manage your post-purchase process in the most efficient way for your business.
Read more about Easyship in the Magento Marketplace.
Recommended reading: 12 best shipping software for ecommerce
The Mageworx Order Editor extension lets you edit customer errors. Quickly fix any mistakes customers make during checkout like incorrect street numbers, phone numbers, names, shipping, or billing details.
You can also add or remove products, change pricing, and add coupons after an order has been placed. This saves your customer support team from having to cancel the order and start it again from the beginning.
Learn more about Mageworx Order Editor in the Magento Marketplace.
Use Gorgias to centralize order tracking, automate status updates, and deliver real-time delivery info, all in one place. By deflecting repetitive WISMO tickets, your team saves time, boosts CSAT, and focuses on higher-value conversations that drive retention and revenue.
Book a demo to see how Gorgias integrates with your order tracking system.

Keeping your customer support response time as low as possible is a key part of meeting customer expectations and providing a great customer experience. But as your brand grows, it's just not realistic to respond to every ticket the second it rolls in. This makes developing a system to quickly assign priority levels to support tickets an essential strategy for every customer service team to implement.
To help you develop a support ticket prioritization process that will support your business goals, let's take a look at why it's important to prioritize customer requests. Then we'll dive into nine best practices that your support team can use to strategically categorize the support tickets that it receives.
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Rather than responding to customer requests on a first-come-first-serve basis, ticket prioritization is the process of evaluating all incoming tickets to identify the most urgent. Once you prioritize tickets, you can triage — or assign — priority tickets so your team can respond to tickets that have the biggest impact on your company's revenue before moving on to low-priority tickets.
When prioritizing customer service requests, you should keep a few things in mind:
Let’s take a closer look at the types of tickets that make for low, medium, and high-priority tickets.

Low-priority tickets are issues that are not time-sensitive, escalated, or in the way of a potential sale. They are frequently asked questions that you could automate with your helpdesk software — more on that later — or general feedback that you can pass to the rest of the team for long-term improvements to the product or customer experience. If you can’t deflect these tickets with automation, they can live in your support backlog for a few hours (or even a day or two) while you handle more urgent tickets.
Low-priority tickets include:
Medium-priority tickets require some type of product support from a human agent, not a chatbot or auto-response. However, they may not need your immediate attention, either because the ticket isn’t time-sensitive or the customer isn’t VIP.
High-priority ticket requests include conversations with VIP customers, conversations on live channels, and questions that might enable a sale. Your team has a small window of time to answer these questions, so bump them to the top of the queue.
By breaking down tickets into these four categories for your reps, you can ensure that the tickets that will have the biggest impact on your company receive the swiftest attention.
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Prioritizing support requests is a key part of creating a customer journey optimized for maximum revenue. If you want to start using a ticket prioritization process that will boost both customer satisfaction and your bottom line, we've got nine proven best practices below:
As we mentioned earlier, repeat customers generate 300% more revenue than first-time shoppers. VIP customers are even more valuable than your average repeat customer because they recommend your brand to their friends and leave positive reviews, both of which are highly valuable growth tactics for your brand.
Make sure these VIP customers are your highest priority to prevent customer churn, which is costly for your bottom line.
With Gorgias’ Rules, you can automatically tag tickets coming from customers who spend a certain amount or make a certain number of purchases within a certain time frame. Here’s a Rule that automatically tags tickets from customers who spend $100 or more within your store:

Then, you can create a high-priority view that automatically gathers all tickets with the tag “VIP customer” that your team can prioritize.

Building on the previous section, it's a good idea to prioritize any tickets from repeat customers. Although repeat customers only make up 21% of the customer base for most brands, they contribute 42% of overall revenue. Based on our data, your repeat customers will, on average, contribute 300% more revenue than first-time customers over their entire lifespan.
So, even if a customer has only purchased one item before, jump on any future requests because you might have the chance to improve customer retention.

Low-priority tickets might not be as important as others, but they still demand a timely response. If your customer service team has to spend a lot of time responding to common, repetitive requests, they might not have time to give high-priority tickets the attention they deserve.
Thankfully, tools such as Gorgias can enable you to respond to common support requests automatically so that your reps can spend their time focusing on higher priority tickets. With Gorgias, you can create canned responses, called Macros, and automatically send them with automation Rules to a wide range of common customer requests, including "Where is my order?" requests, questions about product variants, pricing, and sizing, questions about returns, etc. Gorgias also provides self-service tools such as a comprehensive knowledge base and chatbots to help reduce your team's workload.
Responding to these common customer requests via automation and self-service options offers numerous benefits. For one, it provides an immediate response and resolution to what is likely a large percentage of your tickets. It also eliminates a huge burden from your support team's workflow, giving them more time to focus on complex requests and high-priority tickets.
With Gorgias, you can fire (still helpful) pre-written responses to customers who ask simple questions, such as questions about the status of their order.
When we mention this to some customer support professionals, they get nervous because they don’t want to offer low-quality automated support. And we agree, that’s not the goal. Gorgias’ automated responses are especially helpful because our templated Macros are dynamic – more on that below. Plus, we only recommend automating repetitive tickets that don’t actually need a human touch. Plus, automating these tickets frees up your agents to provide human support on tickets that need it most.
First, you’ll create a Macro, or a templated response, with dynamic fields that pull customer data directly from your Shopify, Magento, or BigCommerce store. You can pull order numbers, order statuses, and more.
Then, you’ll create Rules that automatically fire the appropriate Macro when customers ask an automatable question. Here’s a rule that gives customers their order number when they ask:

Seventy percent of all ecommerce shopping carts are abandoned before the customer completes their purchase. Of all the metrics that keep online store owners up at night, this one is near the top.
Good customer support, however, can go a long way toward reducing your cart abandonment rate. While there are several reasons why customers abandon their cart, questions or issues arising during checkout are a couple of the most common. Therefore, quickly addressing these questions and concerns can substantially boost your store's conversion rate.
Best of all, you don't even have to wait for the customer to contact you first. With Gorgias live chat, you can flag customers with best-selling items on their cart or customers lingering on the checkout page and contact them proactively to see if they need any assistance. But regardless of who contacts who first, pre-sale tickets should be marked as first-priority tickets.
Depending on your brand, you may already start to recognize which tickets indicate a customer is close to making a purchase. If you sell footwear apparel, for example, this could look like customers asking whether they should buy a size 11 or 12 if they usually wear 11.5. With Gorgias, you can create Rules that automatically detect such questions and add tags to help you prioritize.
Here’s a rule that automatically tags any tickets asking about product sizing with “pre-sale” and sends a macro response that links the customer to your size chart:

One of the biggest reasons why live chat and other messaging support channels such as SMS and social media messaging applications have become so popular with consumers is because they offer swift support.
A customer who contacts your support team via one of these channels will expect a much faster response than a customer who sends you an email. This is why it's important to treat these messages more like phone calls you've put on hold than emails you haven't responded to yet.
While the exact categorization that these tickets fall under will depend on other factors (such as the customer they come from and the nature of their requests), customer service professionals should inherently give tickets from instant messaging channels a higher priority than email requests.
As your team grows, you may dedicate agents to specific channels based on preference, competence, or the level of complexity you tend to see coming through one channel or another. For instance, you may assign a more general agent to SMS while an agent with more advanced product knowledge can handle in-depth questions over email.
Here’s a Rule in Gorgias that will automatically tag all incoming tickets in your SMS channel. You can then send all tickets with this tag to one agent’s dedicated view so they never have to go searching for tickets and can just focus on providing fast, high-quality answers.

Customer support is a two-way street and requires back-and-forth communication in order to reach a resolution. If a customer isn't responding to your rep's messages, it's okay to go ahead and deprioritize that ticket or close it out completely. Likewise, your helpdesk might be turning spam messages or social media comments that don’t need a response into tickets.
Using Gorgias to set up a rule that will auto-close no reply tickets is one great way to prevent these tickets from wasting your support team's time.
Here’s a rule that automatically detects comments on your Instagram ads and posts. Your customer service team shouldn’t ignore social media comments as a practice, of course. However, you might activate this rule after an Instagram giveaway if you’re experiencing an influx of unwanted tickets.

Few things damage your brand image and online presence more than negative customer reviews. If a customer mentions that they are considering leaving a bad review of your company, you should automatically bump their ticket to a higher priority.
In fact, you may want to bump up tickets from any upset or angry customer. With Gorgias' intent and sentiment detection features, you can automatically detect when a customer is upset and bump their ticket up to a higher priority level. Gorgias can also detect keywords that allow you to prioritize tickets from customers threatening a negative review.
With Gorgias’ intent detection, you can automatically detect tickets with threatening, negative, or offensive sentiments in their tickets. You can also scan all tickets for words similar to “review” or “warn” (as in, “I’m going to warn my friends to stay away). The rule below scans all tickets from Facebook and Instagram comments for those words and tones, automatically tags them as negative comments, and escalates them by tagging “level 2”:

If a customer submits an order and immediately sends a support request, they likely input the wrong address or purchased the incorrect item(s). If you can catch that request before you package and ship the item, you’ll save yourself the cost of shipping the product and handling the return or the exchange. Plus, you’ll save the customer from the negative experience of having to wait for an item they didn’t want in the first place, or having their item sent to the wrong address.
So, develop a system to flag any support requests coming from customers who placed an order within the last two hours.
This is one example where Gorgias’ deep integration with Shopify is a huge asset. Gorgias’ Rules can analyze customer data and identify when a ticket is from a customer who placed an order within the last couple of days. The rule below does just that, and adds the tag “Urger Order Edit” to let your customer support team know they need to act before the order fulfillment team sends an incorrect order.

Forty-six percent of customers expect companies to respond to support requests in less than four hours, while 12% expect a response time of 12 minutes or less. To meet these ever-increasing customer expectations, you will need to keep your response time as low as possible for all types of tickets.
Using automation to instantly respond to common customer questions is the best way to speed up your response times. Along with providing an instant resolution and response to a significant chunk of the support requests your team gets, leveraging automation can also reduce your support team's workload so that higher priority, more hands-on tickets receive a faster response as well.
Once you develop a system for prioritizing tickets, you can create or refine your service-level agreements (SLAs) to reflect how fast your team strives to answer tickets based on question type, customer type, and channel. You may need to think about your staffing schedule to make sure you have agents ready during peak hours, especially for live channels like SMS and live chat.
As your brand grows, prioritization without support from a helpdesk becomes nearly impossible. You could staff someone to field all incoming messages in your email inbox and social media accounts and manually triage, or label tickets with priority and send them to the right agent. But it’s much more time- and cost-efficient to use a tool that can streamline the process with the help of automation.
With advanced intent and sentiment detection features, Gorgias can analyze each incoming ticket based on natural language processing (NLP). Gorgias then allows you to create Rules that determine the ticket's priority level (among so many other things) and assign it to a specific agent by sorting it into agent-specific Views. This way, your team can focus on resolving important tickets rather than figuring out what that order is first.
Here’s how Gorgias processes the language on an incoming ticket and applies a rule to automatically take action – in this case, add a tag to cancel that person’s order:

From there, you can create a View that puts tickets with priority tags in a specific queue. Or, depending on your team’s setup, you can assign certain agents to handle different views, so every agent can focus on a certain channel, priority level, product line, or type of customer.

Gorgias also enables you to automatically respond to common customer questions and repetitive issues that make up a bulk of your support team's workload (like WISMO, or “Where is my order?” tickets), freeing team members up to spend more time focusing on higher-priority tickets. Never miss a ticket, never take too long on an urgent ticket, and never waste time clicking and dragging tickets to different agent views or manually labeling tickets.

Love Your Melon, an apparel brand that uses Gorgias, used to have an average first-response time of around 10 minutes before using Gorgias because they were swamped with tickets. With Gorgias’ automatic responses, they are now able to instantly answer 25% of their tickets with helpful automated responses, freeing agents up to handle more complex questions in the queue. Check out our full customer story on Love Your Melon:
“The level of automation provided by Gorgias, like the Rules that can auto-close tickets, has been proven successful. Love Your Melon team has increased their productivity and efficiency thanks to Gorgias.”
- BerniDe Kolar, Customer Service Director at Love Your Melon
Gorgias is full of features to help your tickets provide fast, helpful answers to customers across all customer service channels. Intent detection, Macros, and Rules — all described in detail above — help deflect low-impact tickets, get tickets in front of the right agent, and provide templated responses so agents don’t have to write messages from scratch.
On top of that, Gorgias can help you create self-service resources (like FAQ pages and help centers, chatbots, and self-service flows) to help customers help themselves, eliminating any wait time associated with reaching out to agents and reducing the volume of tickets your team receives.
Last, Gorgias’s integrations with ecommerce platforms (Shopify, Magento, and BigCommerce) and other top-rated ecommerce tools mean your customer service team won’t lose time throughout the day shuffling through tabs to copy/paste information between disconnected tools. You can see a customer’s entire order and conversation history in the sidebar, modify orders from within the helpdesk, and share data with 85+ tools you already use like Klaviyo, Attentive, and ShipBob.
Prioritizing support tickets enables you to deliver the swiftest and highest quality service to tickets that will have the biggest impact on your business. And, with Gorgias, this otherwise tedious process can be completely automated.
Find out how our customer, Comme Avant, uses Gorgias Tags to save time and easily manage 7,500 tickets a month with a very small team.
“Using Gorgias helps us save some precious time, the time we can use to manage our business. It is beneficial, especially when you receive a lot of messages every day.”
- Sophie Lauret, Co-Founder of Comme Avant
Ready to learn how Gorgias can help empower your ecommerce success? Take a look at our tools and resources to help grow your store to new heights.

Whether you’re a brand-new store or an established enterprise, customer feedback is like gold for your brand. Customers have high expectations for your brand’s products, values, and customer service. And without any feedback from customers, you’re making guesses about those expectations.
However, collecting customer feedback is a challenge for many brands. Customers are difficult to get ahold of and, even when you get high-quality feedback, disseminating the information across your company often gets deprioritized.
Below, I list nine methods to gather customer feedback. Then, I deep dive into a step-by-step process for turning customer service conversations into actionable feedback that your entire team can access and implement.
Customer feedback is your brand's most valuable resource for shaping your products and the overall customer experience. An excellent customer experience is key to customer loyalty and any ecommerce store's success: 58% of consumers are willing to spend more money when they have a good experience with a brand.
In other words, collecting and acting on customer feedback is a great way to understand what will keep customers around. And the importance of customer retention cannot be understated, especially given the value that loyal customers provide from referrals, reviews, and repeat purchases:
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The insights you get from customer feedback can inform your roadmap for improving every aspect of a customer's experience with your brand, from your products to your customer support. Even your brand's marketing efforts can improve based on the insights that customer feedback provides.
Here are a few examples:
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So, how do you start collecting that feedback? Here are nine customer feedback methods:
Feedback is a broad term:
All types of feedback have their own benefits and use cases, and most brands collect a variety of types of feedback to help them make all kinds of decisions. So, here are nine ways to gather customer feedback, suitable for a broad range of uses.
Net promoter score (NPS) is a metric that tells you how likely a customer is to recommend a brand to a friend, family member, or colleague. As a result, NPS surveys typically consist of just this single question. Most often, an NPS survey will ask a customer to choose how likely they are to recommend your brand on a rating scale of 0-10. NPS questionnaires should typically be sent out following transactions or customer interactions but can also be sent periodically to your entire customer base.
NPS is also a great metric to understand whether you’re selling to the right people — whether you have product-market fit. For example, a brand that sells protein powder might see high NPS from athletes but low NPS from parents. That feedback might indicate the brand should focus its marketing efforts on the powder’s health benefits rather than the taste.
Want to learn more about net promoter score? Check out our comprehensive guide to measuring and improving NPS.
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You can send NPS surveys manually, or use a tool to automate the process. If you’re interested in tools, check out any of the following tools, all of which integrate with Gorgias to bring NPS survey data into your helpdesk:
Struggling to get enough NPS survey responses? See our guide on NPS survey best practices.
Customer satisfaction score (CSAT) is a metric that gauges overall customer satisfaction with a brand and is one of the most important feedback metrics for ecommerce brands to track. Specifically, CSAT is a leading metric for customer support teams to understand the quality of service they provide.
Like NPS surveys, customer satisfaction surveys tend to consist of a single question asking customers to rate their satisfaction with a brand. CSAT surveys should be sent following a transaction or customer interaction but can also be sent out periodically to your entire customer base.
If you use customer service software like Gorgias, you can automate these surveys, too. With just a few clicks, you can program Gorgias to send a satisfaction survey as soon as (or a few hours after) a customer support conversation is completely closed:
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Want to learn more about CSAT scores? Check out my guide to improving CSAT scores — and how that can boost your brand’s overall revenue by 4%.
The two feedback methods we've covered so far are single-question surveys designed to encourage high response rates by making it as simple as possible for the respondent to complete the survey.
But sometimes, it can be valuable to collect more in-depth feedback. Long surveys and interviews with open-ended questions give customers the freedom to provide more detailed, actionable feedback than numerical ratings and yes or no responses. They also let you ask follow-up questions to get to the root of a customer’s perspective.
Consider long-form surveys when you’re looking to deeply understand how a customer might feel about a new initiative. For example, if your product team is beta testing a new product, you’ll want to understand all angles of their feedback:
You can send these long-format surveys and interview invitations following transactions and customer interactions. Given their lower response rate, it's often best to send these long-form surveys and interview requests to your entire customer base to cast a wide net. Additionally, since these surveys take customers’ time, you might have more success by offering incentives (like a discount or gift card) for their time.
Tools like Typeform and SurveyMonkey are great for these kinds of custom email surveys. They offer automation features and templates you can easily tweak to get started.
Whereas many customer feedback surveys are focused on collecting statistical data, exploratory surveys are more focused on ideas. Open-ended questions are common in these online surveys, allowing customers to expound on things you might not have thought to ask about directly. Feature requests on Instagram are one example of exploratory surveys where brands ask customers what new features they are most excited to see in a new product.
For example, furniture brand Sabai uses Instagram polls to gauge customer interest in new product designs:
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This is a great way to get a snapshot of whether customers (and potential customers) would be interested in a new product.
Exploratory interviews have the same objective as exploratory surveys but entail having a direct conversation with the respondents rather than asking them to fill out a form. Again, many customers will be more willing to provide elaborate responses when speaking in real time (though this isn't always the case). However, exploratory interviews are time-consuming for your team and — unlike surveys — there's no way to automate them.
A great use of exploratory interviews is to get holistic feedback from someone who matches your ideal customer profile (ICP). If you can identify a buyer who represents the type of person you want to attract to your store, buy that person a coffee and sit down to chat about why they choose to shop at your business, what would make them stay with your business, and what would cause them to leave. You can translate those insights into your upcoming marketing campaigns, product launches, and overall brand vision.
Usability tests are a form of user testing designed to help brands gather feedback on their products' functionality. These tests often occur in a focus group setting, with brands observing users as they engage with a product or website and asking them questions along the way.
If you sell software, usability tests are a great way to understand the user experience (UX) of your product. If you’re an ecommerce brand, you can use usability tests to understand how shoppers navigate your website. For example, usability tests can help you optimize product categorization: You can ask users to find a product — say, you’re best-selling men’s watch — starting from the home page. Then, you can see their behavior to understand how they might interpret your product categories and go about finding the item.
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If you want to try usability testing, you can screen share with a customer and have them narrate their thought process. For more robust usability testing, try a feedback tool like Hotjar.
Microsurveys are usually in-app or on-website surveys that automatically pop up based on a visitor's actions. Exit intent pop-ups, or pop-ups that appear when a visitor attempts to navigate away from the site is a (rather intrusive) example. For customer feedback, you can use pop-ups to ask.
You might set up one of these pop-ups to ask customers how they found your site, what type of product they’d like to see next, or whether they have questions about the product they’re viewing.
Sprig and Sleeknote are two examples of tools that you can use to build these automatic survey notifications into your site or app. Alternatively, you can trigger a chat campaign to proactively send a short survey question in your site’s live chat widget for a less-intrusive experience:
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Read more about live chat campaigns here.
You don't always have to reach out to customers directly to gather customer feedback: Every action a customer takes on your website is a point of data you can use to highlight valuable insights. With website analytics tools such as Google Analytics, you can track and analyze all of your ecommerce store's on-site activity.
Bounce rate, cart abandonment rate, average time on page, traffic sources, and devices used are just a few of the on-site activity metrics that can tell you a lot about your visitors and their experience with your brand's website.
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If your goal is to raise conversion rates, Google Analytics (or another on-site behavior tool) will be valuable.
If your customer support team utilizes a helpdesk such as Gorgias, then your team is already gathering a lot of customer data and feedback without even realizing it. By tagging and organizing support tickets based on customer intent and sentiment, Gorgias enables you to analyze your tickets to spot recurring trends and themes.
You can glean many valuable insights by taking a deeper look at your support tickets, and a high-quality helpdesk makes it easy to analyze the wealth of customer feedback your support team is passively collecting.
Below, we’ll dive deep into how your team can turn helpdesk tickets into actionable, sharable feedback for the entire company:
Before you start investing in new tools and time-consuming interviews, I recommend looking for high-value feedback in your helpdesk, since you likely already have a pile of tickets to analyze.
Here’s an in-depth process for turning customer support conversations into an organized library of feedback you can easily share with the rest of the company:
Your customer service representatives hear from customers more than anyone else at your company — if those conversations stay siloed, you’re not taking advantage of your best source of customer feedback. I recommend making your customer service team accountable for collecting and organizing customer feedback and distributing insights across the company.
Your customer service team’s day-to-day interactions are already an untapped source of high-value feedback. Here’s an example: If your customer service team experiences a spike in return requests, they can ask for more information from customers.
While negative feedback is generally where you’ll learn about opportunities to improve the product, the customer service team can also share positive feedback to confirm teams are heading in the right direction. Also, agents can share positive feedback with the marketing team to use as product testimonials, and encourage happy customers to leave online reviews.
Of course, asking the team to share insights is easier said than done. The steps below explain how your team can develop and maintain an efficient process with a helpdesk like Gorgias.
If you’re just getting started with sharing customer insights, you might forward messages from customers to an appropriate team member as they come up. But one-off messages get lost and deprioritized in the shuffle. For the sake of organization and longevity, use ticket tagging in your helpdesk to create an organized customer feedback library.
Here’s a great example from an apparel brand that uses Gorgias. They have tags for feedback about how the product fits. While a smaller brand might just use the tag “feedback-sizing,” this larger brand has more granular tags, like tight waistband (6tightwb) loose waistband (6loosewb), and rides up (6ridesup):
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Now that you’ve tagged tickets, you’re set to organize them into views that only show tickets with relevant tags. This way, when a team member logs into the helpdesk, they can click a view called something like “Marketing team” and get a curated collection of tickets.
We do this ourselves here at Gorgias. While the customer support team is our first line of defense for incoming tickets, we have views for most teams. The support squad can tag tickets to send them to each team’s view, which lets all of our team track customer feedback and also jump in on conversations that require specialized input.
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The brand mentioned earlier does this as well. They created a View that consolidates all tickets with feedback about the product’s fit, which they pass along to the team that maintains their on-site sizing guide:
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If you use Gorgias, you can also get a macro-level view of tags in the Statistics section. The view shows how many tickets have each tag in a given period and changes over time. One great use case of this is to see if a fix inspired by customer feedback was effective — if the fix properly addressed the problem, contact rate and ticket count should go down:
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Adding a tag manually only takes an extra moment for your customer service team, but extra moments add up. That’s one reason advanced helpdesks like Gorgias use natural language processing (NLP): to auto-tag tickets based on customer intent without any manual work.
To do this, you have to set up a Rule, or an automation, which is based on logic. At its most simple, the logic is “If a ticket contains anything related to X, tag with Y.” NLP is how Gorgias understands whether the ticket contains anything related to X. Here’s an example:
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All of this essentially says the following:
Auto-tagging has several use cases, but you can easily set up Rules that auto-tag messages containing stock issues, product issues, or damaged orders to notify the relevant team.
So, you’ve set up your tagging system and built unique views with tickets containing valuable feedback for each team. Now, you need to find a way to get those teams into the helpdesk.
This is one of the main advantages of Gorgias’ unique pricing strategy, which gives you unlimited seats. Whereas most helpdesks base pricing around the number of agents who have access to the platform, we understand the immense value of giving your entire team access to customer conversations.
Want more information? Check out our help doc on adding users, creating teams within Gorgias, and managing permissions.
While a curated view is great, most teams benefit from recurring feedback digestion sessions, wherein they sit down to go through their unique view to learn from customer feedback. If possible, do this at least once a month.
During these sessions, focus on isolating just a few concrete takeaways. Of course, you’ll likely have more feedback than you can take action on. Focus on themes that pop up most often, quick wins, and feedback that tends to drive customers away from your brand entirely.
As you analyze customer feedback and put it into action, it's important to search out the insights within and act on those instead of just acting on the feedback itself.
Let's say, for example, that an online clothing store is receiving a lot of customer complaints that your hats are too small. The customer feedback might be that your hats are too small and should be larger. However, you have the best insight into your business.
The deeper insight might be that your product’s sizes are unclear — instead of Small, Medium, and Large, you could use a numerical system based on the circumference those sizes fit. Alternatively, it may mean that a sizing guide unique to your store could prevent people from accidentally ordering a size that won’t fit.
According to research from Yieldify, 75% of customers state that they are more likely to purchase from brands that offer personalized online experiences, and creating personalized experiences is one of the best uses of customer feedback.
Providing customers with a survey as part of the onboarding experience that is designed to gather information on their interests, desires, and needs can enable you to offer personalized content from the very start of the customer journey. Note that this doesn't mean that you have to provide an experience that is personalized to each individual customer: Beyond basic personalization such as calling them by name, that simply isn't feasible. Instead, you can use a customer onboarding survey to segment your new customers into buckets based on their responses. This way, every customer gets content that matches their needs and interests without you having to tailor the experience to each customer.
For example, men’s soap brand Dr. Squatch has a quiz that asks customers for some information about themselves and offers a product recommendation in return:
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Collecting customer feedback and analyzing it for insights can provide your ecommerce store with an invaluable roadmap for improving every aspect of the customer experience. With Gorgias, you automate both the process of collecting customer feedback and the process of analyzing it. This way, Gorgias allows you to gather the most actionable insights with the least amount of manual work for your support team:
Sign up for Gorgias to provide your support team with all of these powerful tools and more!
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Most companies don’t think about customer support in terms of return on investment (ROI) — only marketing and sales. But during my time as the VP of Success & Support at Gorgias, I've had plenty of opportunities to see the ROI of good customer service firsthand.
I remember working with a company that significantly increased conversion, average order value (AOV), and repeat purchase rate simply by adding a phone contact option — enough to pay back the $1.2 million initial investment, and then some.
Here’s another way to put it: 90% of shoppers consider customer service when deciding whether to do business with a company, so your customer service has a strong ROI, whether or not you’re aware. It’s up to you whether that ROI is positive or negative.
To help maximize the value of your brand’s customer service, let's discuss everything you need to know about the ROI of customer service. Below, I'll explain why it's important to measure customer service ROI, how to perform customer service ROI calculations, and some tried-and-true best practices to see an ROI boost from your customer service experience.
It's always important to measure the return of any investment you make in your company, and customer service is no exception. Measuring the ROI, or return on investment, of your customer service team allows you to determine what works well and what doesn't, helping you continually improve the quality of your customer support — which boosts its impact on your company's bottom line.
Measuring your customer service also helps you with forecasting. By understanding your current situation, you can better predict the staff, resources, bandwidth, and impact any change could potentially make on your customer service program.
To start, great customer service improves customer retention, which is an especially important avenue for growth, especially considering the cost to acquire new customers has increased by 60% in recent years.
Unlike customer acquisition, repeat business is somewhat organic. Data around average ecommerce customer retention rates is sparse because rates vary so much by industry. For instance, a company that sells bags of coffee will see far higher repeat purchase rates than a company that sells coffee machines, which are usually a one-time purchase.
That said, most blogs agree the average rate is around 20-30%. But regardless of your baseline, that percentage can grow if you provide amazing customer service.
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In addition to helping you retain the customers you already have, great customer service can also improve your company's net promoter score (NPS). This means that your existing customers are more likely to recommend your company to their friends and colleagues.
Of course, ROI isn’t just about output — a strong ROI means maximizing revenue while minimizing spend. Implementing the right customer service tools and processes can actually lower your customer support spending, lifting ROI by reducing your company's expenses.
To calculate your customer service program's ROI, you need to consider how much you're spending versus how much revenue you bring in as a direct result. The formula is pretty simple:
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ROI = [ (Money earned - Money spent) / Money spent ] x 100
In practice, say that you spend $10,000 on your customer support program, including the cost of your team and tools. In turn, you make $15,000. Your ROI would be 50%. Here's what the calculation looks like:
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ROI = [ ($15,000 - $10,000) / $10,000 ] x 100
ROI = 50%
That said, the above formula is rather rudimentary and doesn’t represent the nuances of customer service ROI. Specifically, it assumes that you can easily track the revenue generated by your customer service inputs. But you already know it’s not that easy. Below, I go a step deeper to help you understand the value of your brand’s customer service — value that you might not currently be claiming.
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Along with using the formula I covered above, there several other useful ways to go about calculating customer service ROI and evaluating its impact, including:
Customer satisfaction (CSAT) functions as a proxy for lifetime value (LFT). Each incremental increase in CSAT represents a higher likelihood of customers coming back to your brand and buying more.
You can gather this kind of customer feedback with a simple post-interaction CSAT survey. Most helpdesks have built-in survey features. I recommend you use them to gain invaluable data about your customers' experience — and your customer support team's performance.
After a customer service interaction, ask customers to rate their experience on a scale of 1 to 5 (with 1 being a horrible experience and 5 being an exceptional experience). You can then divide the total number of satisfied responses (ratings of 4 or 5) by the total number of responses and multiply that number by 100.
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CSAT = (Total number of satisfied responses (4 or 5 rating) / Total number of responses) x 100
Your CSAT score will be a whole number between 0 and 100 — the higher, the better. This is an essential metric to keep an eye on as you experience customer service challenges and experiment with new tools and strategies.
Any customer service platform worth its salt should highlight your live CSAT score for easy tracking, with additional details for context. Here's what that would look like in the Gorgias platform:
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There's no better way to evaluate customer satisfaction than looking at the number of repeat customers your business attracts. Excellent customer service is your best lever to reduce churn, improve your customer retention rate, increase your company's repeat customers — all different ways to describe the same benefit.
Repeat customers are a great indicator that your customer service program is doing well, so it's essential to consider them during your ROI evaluation.
Along with helping you retain the customers that you've already brought on board, good customer service can also help you attract more new customers by improving your net promoter score (NPS). NPS is a measure of how likely a customer is to recommend a company to someone else — consider NPS a type of word-of-mouth marketing generated by a great customer experience.
Calculating your NPS is easy if you're already collecting customer feedback. In your post-interaction survey, include a question like, "On a scale of 1-10, how likely are you to recommend us to a friend?" From this feedback, pull out the following information:
Then, calculate your NPS with this formula:
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NPS = Percentage of promoters - Percentage of detractors
Your NPS score will range from -100 to 100.
If you currently use Gorgias, consider using any of our NPS calculator integrations for an even easier experience:
Sentiment analysis uses machine learning to evaluate the overall sentiment of datasets. Analyzing your customer service data to see if your customers' overall sentiment is positive, negative, or neutral is a quick and simple way to get a broad sense of your customer service quality at scale.
Intent analysis also uses machine learning to understand the underlying request of an incoming message. While most other customer service platforms rely on keywords, Gorgias’s intent analysis understands when a customer submits a common request (like asking for order status or updating shipping address) regardless of whether they use one of your pre-selected keywords. The platform automatically handles the ticket, whether that means auto-responding with a Macro or assigning the ticket to a specialized agent with a Rule.
These features are possible because Gorgias is built specifically for ecommerce, meaning we have an incredibly high and untainted volume of ecommerce support tickets which we use to train our algorithms for your online store.
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The entire point of calculating the ROI of customer service is identifying opportunities to boost the value that your customer service agents can deliver to the company. Here are five best practices that you can implement to improve customer service ROI:
Your company's customer service reps are the cornerstone of your customer service efforts. To maximize customer satisfaction, provide your team members with the training and education they need to perform at their best.
If you use Gorgias, consider having your agents complete a Gorgias Academy Course, which provide certifications for customer service agents using Gorgias.
Post-experience surveys aren’t just for measuring satisfaction. Open-ended questions allow customers to communicate why they loved their experience or — perhaps more importantly — why they didn’t. Comb through those responses to find areas of opportunity for your customer experience.
Most feedback will fall into two categories:
Take note of patterns in customer feedback to guide you toward the most high-impact opportunities. You may not be able to act today, but this qualitative feedback is gold as you set your long-term roadmap.
I remember working with a company that went out of its way to reward customer service agents with high customer satisfaction rates. At our Support All Hands, people would read tickets with exceptional support out loud. For example, one customer with a particular sense of humor wrote in old English, so our agent responded in old English to solve his issue. The customer wrote back, "[your brand] just gets me," and proceeded to come back again and again. The Agent got recognized as the go-to for clever replies, and it boosted morale on the floor.
While rewards such as this may seem trivial, everyone loves being recognized for their hard work. Even something as simple as a few words of appreciation can go a long way toward boosting your customer service team's morale and performance.
If contacting a call center is the only customer service option you provide to your customers, you are probably missing out on many opportunities to make your customer service more convenient and accessible. Omnichannel customer service turns communication channels such as SMS, social media, email, and live chat into customer support channels, making it as easy and convenient as possible for customers to reach out to your company for assistance.
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At Stitch Fix, we found that simply adding phone instilled more trust for our target demographic. We saw significant increases in AOV, repeat purchase rate, and conversion. We found that phone made more sense for specific instances and actually saved expenses when it came to billing and urgent issues (like an address change) because we would either get notified faster or reduce tons of back and forth. Overall, the additional channel netted Stitch Fix $1.2 million.
Remember that every time a customer reaches out for help is an opportunity to create a positive experience. Be sure that your omnichannel support strategy is convenient and consistent, so customers can expect the same support quality no matter what communication channel they choose.
Customer self-service options such as knowledge bases, FAQ pages, and automation like AI chatbots can improve your customer service ROI in two key ways. For one, self-service options can reduce your customer service expenses by eliminating many customer support tickets you’d otherwise pay a human agent to handle.
In addition to reducing expenses, lowering your support ticket volume can also free up your team to spend more time focusing on complex customer issues that require more personalized service.
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Over the years, I've encountered several common issues while helping companies improve their customer service ROI. Hopefully, examining these common issues will help your company avoid making the same mistakes.
Many companies look at the wrong data when evaluating their customer service quality. Rather than looking at the number of support requests your team receives, it's much more enlightening to consider your CSAT score and compare customers who report the best and worst experiences.
Evaluating the differences between these two groups can tell you much more about what's working well and what isn't than looking at customers who write in versus those who don't.
Far too many companies put too much emphasis on lowering customer service costs and not enough emphasis on improving customer satisfaction. While lowering expenses is an integral part of maximizing customer service ROI, offering fast first response times and high-quality service is even more critical in the long run.
When you consider the rising cost of acquiring customers, it puts the cost of investing in your support to retain customers into perspective. Industry standard says the cost of acquiring a customer costs (at minimum) 5 times more than the cost of retaining one. A customer who gives you a ⅕ CSAT probably won’t come back — if it would have cost you $5 extra to make sure they were delighted, you now have to spend $25 to win a new customer instead.
Providing excellent customer service is easy when support tickets are few and far between. But as companies grow and ticket volume increases, a more strategic and efficient approach to customer service is often required. Usually, this means investing in tools and processes.
But again, if companies view customer support as a cost center, the impact of customer support is limited. (Which makes leaders reluctant to invest in tools and processes. Which limits the impact. You see the cycle.)
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Before you can achieve an optimal customer service ROI, you'll first need to convince your company's management team that customer service is a worthwhile investment. To this end, you can highlight several key metrics when proposing your customer service ROI strategy, including:
By comparing these metrics against metrics such as NPS, CSAT, and churn rates, you can present a compelling argument for investing in customer service. Thankfully, Gorgias makes it easier than ever to demonstrate the importance of customer service ROI by providing you with access to a wealth of customer service data, including revenue statistics — all of which you can customize and quickly pull from your Gorgias dashboard.
If you are looking for a simple solution to optimize your company's customer service ROI, Gorgias' industry-leading customer service platform is a great option.
With Gorgias, you can easily develop an omnichannel customer service strategy that enables you to offer customer service via social media, SMS, email, live chat, and numerous other channels. You can also implement self-service options to improve convenience, reduce ticket volume, access insightful customer service analytics, and more.
To see how our powerful customer service solutions can dramatically boost your business's customer service ROI, be sure to sign up for Gorgias today!

What if you could deflect a third of your support tickets, automatically, without any agent interaction? With customer self-service and automation, that’s possible. I see it all the time with our customers at Gorgias.
Customer support doesn't always have to mean direct communication with support agents. A healthy support organization also leverages self-service to help customers answer their own questions without waiting for (or dealing with) an agent. On top of helping customers, self-service also reduces ticket volume and first-response time for your support team.
Self-service isn’t just a nice-to-have: 88% of customers in the United States expect company websites to offer a customer self-service portal according to a 2022 survey from Statista. Below, we'll explore the definition and types of customer self-service, the advantages of offering a suite of self-service options, and the best practices to help you meet customer expectations.
Customer self-service is a combination of technology and resources that let customers resolve issues on their own. If a customer answers a question or resolves an issue using resources your company provides (and without messaging your support team), they’ve successfully used self-service.
For example, a customer finding an answer to their question on your website's FAQ page is an instance of customer self-service. Getting information about your order’s status from a chatbot is another. Even though the customer technically receives AI assistance in this second instance, it still counts as self-service because a human support agent isn’t involved.
It's fair to wonder whether static resources will actually improve your brand's customer support — and ultimately improve customer satisfaction.
But according to our research at Gorgias, customers with a robust mix of self-service and automation options deflect up to a third of tickets automatically. So there’s no doubt about the benefit to your business.
And keep in mind, most customer issues are not overly unique or complex. Your support team’s time isn’t optimized if they spend a third of the day answering "how do I track my order?" and "how do I return a product?" And your customer’s time isn’t optimized if these questions get routed through a human agent, since they now have to wait for the agent’s response.
Your customers don’t care how they get their answers, they just want them now.
Customer self-service channels can come in several different forms. While some of these self-service options are more popular than others, it’s typically best to create a self-service portal that offers multiple support options. With that said, here are the four most beneficial types of self-service tools for ecommerce stores.
Editor’s note: We developed a scoring method to represent the difficulty of setting up each method of self-service, as well as the volume of tickets each method usually deflects. More determined faces (😤) indicates that the form of self-service is more difficult and labor-intensive to set up. Lots of tickets ( 🎟) means that the form of self-service will likely deflect a high volume of tickets. Five emojis is the max for both scores.
Difficulty: 😤 /5
Ticket deflection: 🎟 🎟 🎟 🎟 /5
A frequently asked questions (FAQ) page is a great place to start your self-service efforts. These pages list common customer questions that your brand receives, along with answers to each. FAQ pages typically answer straightforward questions that don't require in-depth explanation.
FAQ pages may be simple, but they are incredibly effective. Given that simple questions can eat up a lot of your support team's time, a single FAQ page can do wonders for reducing support ticket volume. If you’re ready to deflect even more tickets, build out your FAQ page into a full-blown help center — a series of FAQ pages organized into searchable categories. More on help centers below.
Quick win to get started: Create a page that lists the five questions that usually fill up your support inbox and answer them fully. If you don't have an FAQ page, use our FAQ template generator to get started.
Brümate’s FAQ page — powered by Gorgias — is a great example of an eye-catching, organized, and easy-to-navigate FAQ page. Brümate even separates its FAQs into multiple categories, making it much easier for customers to find what they’re looking for. And they include top articles that would be helpful for specific, common questions.
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Difficulty: 😤 😤 😤 /5
Tickets deflected: 🎟 🎟 🎟 🎟 🎟 /5
A knowledge base is a digital library of customer support content. Written knowledge base articles (or technical documents) are most common, but a knowledge base can include video and audio files as well. This is the natural evolution of your FAQ page.
At Gorgias, we call knowledge bases help centers, and they can end up looking a lot like a company blog (with some important differences). For one, the resources in a knowledge base are specifically geared toward resolving customer issues rather than for general information. An effective knowledge base should also be searchable (or, at the very least, organized and broken into specific categories) so customers can find the answers they need without wading through page after page of irrelevant content.
Quick win to get started: Create a page that lists the ten questions that usually fill up your support inbox and answer them fully.
Branch’s help center is a great example of a knowledge base that provides everything customers need (and nothing they don’t). It’s categorized by type of customer question, and even includes a section for the most popular FAQs.
Because this help center is set up on Gorgias, Branch shoppers can also track their packages, alert Branch of any issues, or even start a chat or email — all from the help center’s main page. It’s a one-stop shop for customers who want to find their own answers.
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Difficulty (without Gorgias): 😤 😤 😤 😤 😤 /5
Difficulty (with Gorgias): 😤 😤 /5
Ticket deflected: 🎟 🎟 🎟 🎟 🎟 /5
Self-service flows and customer service portals have been around for a while, and they can be hugely helpful, both for ticket deflection and user experience. Unfortunately, many of the existing ones are difficult to set up and require a login, creating a lot of friction for the customer.
Gorgias’s self-service flows give customers exactly what they’re looking for, nothing more. With seamless verification and an easy transition to a live agent when requested, these flows can automatically deflect a third of your support tickets (while providing customers efficient, low-effort service).
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Quick win to get started: Set up Gorgias’ native self-service flows on the default settings and track how many tickets are deflected. (Deflecting order status requests can handle 15%, alone.)
Unlike a chatbot, which mimics a human agent, self-service flows use menus. They are easy to navigate and make it clear to the customer that they aren’t yet interacting with an agent.
Our default self-service options are:
And if the customer needs help at any time, they can bring an agent into the conversation seamlessly.
Difficulty: 😤 😤 😤 😤 😤 /5
Tickets deflected: 🎟 🎟 🎟 🎟 🎟 /5
Unlike live chat, chatbot software doesn’t require human interaction — at least at first. Instead, chatbot software connects customers with a chatbot that uses AI and machine learning to provide natural language answers to common questions. Unlike self-service flows, chatbots aim to mimic human agents.
Chatbots solve less complex issues and provide quick answers to your customers. And if you combine it with live chat, staffed by agents, you or your shoppers can easily tag in a human support agent for conversations that need a human touch.
Quick win to get started: It can be difficult to set up a chatbot, but integrating a pre-built chatbot like Ada (which works with Gorgias) can be a huge time saver.
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If your customer breezes by your self-service flows and still wants to know the status of their order, there’s still no reason to waste an agent’s time. Set up a chatbot (Gorgias makes this possible through an integration with Ada) or configure a custom automation Rule (see below) as a second line of defense before an agent receives the question.
Difficulty: 😤 😤 😤 /5
Tickets deflected: 🎟 🎟 🎟 🎟 🎟 /5
Questions that can’t be answered through self-service flows and chatbot conversations can usually be handled by an automation Rule. Rules are another line of defense against the repetitive requests that eat up your agents’ time.
In most platforms, Rules follow a specific logic to make building them easier. And in Gorgias, they can include templated Macro responses that bring in customer and order information automatically, deflecting tickets without an agent’s attention.
If you get a simple question over and over, consider setting up a Rule to deflect that kind of ticket.
Quick win to get started: If you already have self-service flows set up, trigger an automated answer to “Where is my order?” for customers that bypass them.
One powerful automation Rule that isn’t covered in self-service is a triage Rule that prioritizes tickets and sends them to the right teams while also sending a message to the customer that the team will be with them shortly.
This Rule can also take advantage of Gorgias’ unique sentiment and intent detection, which can process and tag your ticket automatically. The algorithms are quite precise after training on hundreds of millions of ecommerce tickets.
At Gorgias, we offer 24/7 support and dedicated managers who will help you get custom rules set up for these specific use cases.
Here’s what the Rule would look like when you’re building it:
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Check out our guide to ecommerce email marketing automation to learn how automated emails can help you get customers, not just provide great service.
Difficulty: 😤 😤 😤 😤 😤 /5
Tickets deflected: 🎟 /5 (but good for SEO/marketing)
A blog is a valuable marketing tool for ecommerce brands (and something that is sure to boost your website's SEO). And populating it with well-written, informative content can also be a great way to empower customers to resolve issues on their own.
Asking customers to search your blog for the answers that they need might not be the most straightforward approach to customer support. But an informative blog can certainly be a valuable self-service tool when combined with other tools — such as a knowledge base that organizes your blog articles in a way that makes it easier for customers to search.
At the very least, an informative blog will proactively educate your customers, even if it's not the first resource they turn to when they are having issues. Remember: an educated customer base is likely to experience issues less frequently.
Quick win to get started: Blogs aren’t about quick wins — they are long-term investments that only pay dividends over time, with consistent publishing. If you aren’t fully committed, hold off on the blog until you have more resources.
Spoonful of Comfort is a great example of an ecommerce brand using its blog to find new buyers and serve current customers. The company sells care packages and uses the blog to (among other things) give customers ideas about what to send for specific situations — like when someone’s in the hospital for Christmas.
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Difficulty: 😤😤/5
Ticket deflection: 🎟 🎟 /5
Most people don't consider browsing online forums as a customer service experience, but many companies host forums as a layer of self-service. Online forums allow customers to collaborate to resolve issues.
Once these communications between customers are live, future shoppers experiencing the same issue can see the solution. In other words, forums can serve as a shopper-generated knowledge base populated with support content your company doesn't even have to create.
Forums are more than a customer self-service strategy: they are also a great way to encourage a sense of community among your customers. That said, consider appointing a forum moderator to keep your forums a friendly, welcoming, and informative space.
Quick win to get started: Create a Facebook or Reddit community. Or show up consistently on existing forums dedicated to your space (or brand).
Fitbit has an excellent forum called Fitbit Community. The forum is broken down in many ways: a section for each Fitbit device, features, challenges, and so on. Fitbit users respond to questions and can vote on the best answers.
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If you want to get started without setting up forum infrastructure on your website, you can start a community on Reddit, Facebook, or a similar social media site to provide similar support. For example, Gorgias has a community where customers help each other and share ideas, and our support team monitors it to step in and add value.
Difficulty: 😤 😤 😤 😤 😤 /5
Tickets deflected: 🎟 🎟 🎟 🎟 /5
How-to videos and online webinars can be an excellent way to educate your customers with step-by-step tutorials on the proper use of your brand's products. Customer education is especially relevant for companies in the SaaS space, where confusing or complex software can get in the way of customer adoption.
By saving recordings of your webinars so that they are accessible to anyone who visits your knowledge base, you can double your webinars’ value — first as a lead magnet for those who choose to view the webinar live, and then as a permanent piece of support content future customers can access at any time.
Quick win to get started: Record a welcome video that serves as a product introduction and tour of the main features. Track views and other types of engagement to see if it’s resonating.
ActiveCampaign is a great example of a company that uses webinars to teach customers how to use its products. The above link goes to a page where ActiveCampaign aggregates all of their past webinars in specific categories and shares information on how to attend upcoming webinars live.
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Difficulty: 😤 😤 😤 😤 😤 /5
Tickets deflected: 🎟 🎟 🎟 🎟 🎟 /5
If you are a software company, in-app tutorials are one of the easiest ways to streamline your onboarding, reduce initial churn, and reduce your support costs.
In-app walkthroughs are powerful because they appear when they’re needed. Webinars, by contrast, are great for in-depth walkthroughs, but customers have to find the webinar when they need it. Many won’t know they exist. In-app tutorials provide guidance automatically, at the ideal moment, to help your users understand how to get value out of your product.
Quick win to get started: Create an onboarding tutorial that guides new users around your platform, highlighting common tools to get started (and shepherding the user away from advanced features they can wait to discover). Candu and Appcues are our favorite tools for in-product training.
We created in-app tutorials for Gorgias to strengthen our new-user journey, improve product adoption, and scale our onboarding efforts. When users log on or navigate to certain pages for the first time, a step-by-step tutorial appears to help them with setup.
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Customer self-service is powerful, but requires a well-thought-out approach. If you would like to start empowering your customers to solve issues on their own, here are the seven most helpful customer self-service best practices to follow.
Chatbots are a perfect example of self-service taking too many steps and turning customers against the concept. While there are chatbots that streamline the experience — like Ada, which integrates with Gorgias — may lead customers on a multi-message journey that leaves them begging for a live agent.
Anything more than a few clicks is a suboptimal customer experience. That’s why Gorgias starts with self-service flows as the first line of defense. These menus are clearly self-service (whereas a chatbot imitates a real agent) and lead customers to the solutions they’re looking for in one click, in many cases.
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A knowledge base is one of the easiest options to start executing a customer self-service strategy, and that starts with a strong FAQ page. Compared to managing a community forum or routinely publishing blog posts, an FAQ page is a very light lift. It's also a resource that your customers are sure to find helpful since an FAQ page necessarily addresses the most common questions your customers ask.
Before you create an FAQ page for your website, take the time to truly understand your customers and the issues they experience. Start by speaking with some of the more experienced members of your customer service team to see which questions they encounter most often. Weed out questions that are situational (and don't have a generalized answer), and include the remaining questions on your FAQ page.
If you use a tool like Gorgias, analyzing your tickets at scale to see the most common issues you encounter becomes much easier.
Providing multiple self-service options for your customers lets them choose the option they prefer. Not only does this create a better customer experience, but it also increases the likelihood that customers will answer their own questions instead of messaging your agents.
Above, we offered a comprehensive list of self-service options you can use to help your customers help themselves. Once you have built your FAQ page and set up your self-service flows in your chat widget, continue adding self-service options based on what makes sense for your business.
If you have a more complex product, you might prioritize a knowledge base and webinars. If you have a strong community around your offerings, you might focus on building a forum and blog to keep them engaged. There’s no one-size-fits-all solution.
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When creating support content — whether it’s knowledge base articles, FAQ questions, or anything else — don't underestimate the power of images, video, and audio to get your point across. Sometimes it's easier to show than tell, and a single image can often do more to resolve a customer's issue than an entire article of text.
For example, if you are helping customers navigate to a specific page on your website in an article on how to track orders, showing screenshots that point out which buttons they need to click makes the process much easier.
Plus, some customers simply don't like to read, and presenting support content in the form of images, video, and audio will make them more likely to enjoy their customer service experience.
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Unless your products and services never change, you aren't going to be able to publish support content once and just forget about it. Even if your overall business is relatively static, the rest of the world is not, and the needs and issues of your customers are sure to evolve over time.
While it's a good idea to try and make the content in your support portal as evergreen as possible, it's also important to continually improve and update your support content anytime there are changes to your product, business, or audience.
You'll also want to regularly improve and add to your content. If you notice that a lot of customers are struggling with a specific issue, then it's probably a good time to publish a new article on the topic to your knowledge base.
Every page on your website should be mobile friendly, including your self-service options. In fact, it's arguably even more important for self-service options to be mobile friendly because many customers search for solutions while they are actively using a product and may only have access to their mobile phones.
Given that mobile searches currently account for about 63% of all online searches, you’ll provide a poor experience to many customers if your self-service pages don't look, load, and function correctly on mobile devices.
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Leveraging automation in the form of customer support chatbots is one of the most powerful customer self-service strategies since it often leaves customers feeling as if they've received immediate help from a live agent.
When integrated with customer service tools such as Gorgias, chatbots powered by artificial intelligence can detect a customer's sentiment and intent, then either answer the customer’s question or direct them to self-service resources where the customer can find what they need.
For example, Gorgias can detect when a customer is frustrated and auto-tag the ticket to trigger an automatic response, letting the customer know someone will be with them shortly. On the backend, that ticket can be prioritized to ensure they don’t wait long and escalate their frustration.
The data above shows us that customers expect and value self-service options when communicating with brands. But why, exactly — especially when the conventional wisdom is that the “human touch” always wins?
Below, we’ll explore a few ways that self-service options directly enhance the customer experience, which can help guide you as you build your self-service strategies.
Unless a support agent picks up the phone immediately, it is almost always going to be faster for customers to solve their own issues — assuming the self-service resources are truly useful. Given the value of swift customer service for today's customers, you cannot overlook the importance of resolving customer issues quickly.
Even if customers have to spend a few minutes to solve their own problem, the fact that they are actively working to solve the problem (rather than waiting on hold) goes a long way toward improving customer satisfaction.
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For the independent (and introverted) among us, reaching out for help can feel like an admission of defeat (or at least an unappealing effort). Some customers simply prefer to solve issues by themselves, and giving them the option to do so is an important part of improving their customer experience. In fact, if given the option, most customers would prefer to solve problems on their own before they go through the hassle of contacting customer support.
You can maximize the customer experience by providing a thoughtful mix of self-service features, so shoppers can choose their method of choice. For example, you could have a help center to help provide in-depth information, self-service flows in the chat to deflect conversations, and automation Rules and chatbot integrations for the customers who still want a more conversational approach.
Providing customers with self-service solutions means you can resolve plenty of questions that would have otherwise turned into support tickets for a human agent. Fewer support tickets to deal with means that your company can reduce the size of its customer support team, allowing you to dramatically reduce the expense associated with providing great customer support.
Most customer support teams spend a great deal of their time responding to mundane, repetitive questions. While these questions and issues typically aren't challenging to resolve, they are tedious and not very stimulating. By eliminating these simple, repetitive issues from your support team's daily routine, you can make their job a lot more enjoyable.
When support agents don't have to answer "where is my order?" a hundred times each day, they are free to focus on resolving more unique and challenging issues. Giving agents more time to tackle challenging issues will enhance their productivity and make their job more interesting and enjoyable.
Customer self-service tools such as knowledge bases and chatbots are available 24/7 without human intervention. Offering customers these tools is a great way to make omnichannel support options more readily available without any additional staffing.
The end goal of automation is not to remove agents from the support process or handle all incoming tickets automatically. Many tickets need a personalized, human touch.
However, your team won't have time to provide a human touch to tickets that need it most — especially as your ticket volume grows. Automating 100% of simple, repetitive tickets is the best way to spend more time on the tickets that matter to your business.
With self-service and automation, you can drive revenue through support and spend more time handling inquiries from VIPs while other companies are busy responding to hundreds of “Where is my order?” tickets.
When given the right resources, customers can often resolve issues on their own in much less time than it takes to get a support agent involved.
First response time (FRT) is one of the major metrics in evaluating customer service, and self-service options will help you decrease it dramatically.
A 2019 Microsoft study found two-thirds of customers try self-service before contacting a live agent. Imagine that kind of reduction in the support tickets coming through your inbox.
Whenever customers solve problems on their own, you don't have to pay a support agent to assist them. This means that companies with effective self-service options are often able to save money by reducing the size of their customer support teams.
Use self-service to trigger an automated sales workflow or present customers with upsell opportunities within your self-service content. Customer support should be an important part of your company's sales funnel, and these tactics can help you put that process on autopilot.
According to data from HubSpot, 90% of customers expect an "immediate" response when they have a customer service question. However, most companies can’t provide immediate responses — especially not around the clock.
Customer self-service tools such as FAQ pages and knowledge base articles are available at all times, enabling swift 24/7 support without staffing support agents at all hours. Rest easy: your self-service options are handling the night shift.
As the team behind the market's leading customer support solution for ecommerce, we at Gorgias designed our self-service flows and portals for online stores, first and foremost. Every feature, process, and design choice was made to serve the specific needs of companies dealing with the shipment of physical goods to their customers.
And while a lot of that process can be unpredictable, you are fully in control of how your buyer moves through delays and issues with your support team.
Our innovative self-service approach includes three main lines of defense meant to deflect time-wasting tickets and save agent time for the tickets that matter.
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This self-service process provides:
The proactive customer service process starts with a customizable help center that can be populated with FAQs, how-to articles, instructional videos, past webinars, and more. This help center is the first page that customers see when they search for support and is designed to deflect support tickets by encouraging customers to first browse self-service options.
The second pillar of our approach to customer self-service includes self-service menus that can answer common ecommerce inquiries — both inquiries that have general answers and inquiries with answers that are specific to the individual customer. Our self-service workflows include the following commands that move the customer into a dedicated menu:
In addition to these customer support commands, Gorgias also offers automated flows designed to answer common pre-sale questions such as "How do I pick the right size?" or "Are there any discounts available?" and help ecommerce stores improve their conversion rate.
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One of the main benefits of these flows is that they keep users on your site to get the answers they need, instead of bouncing to the shipping carrier's website or elsewhere. And maybe they’ll stick around to put in another order.
If customers manage to get past your self-service flows with repetitive questions, a pre-built chatbot can engage them and answer their questions.
Any other advanced queries that aren’t covered by the above self-service options can still be answered automatically. Customizable automation Rules can be tailored to the questions you receive the most, as an additional line of defense against time-wasting tickets.
With intent and sentiment detection powered by AI, Gorgias can detect a customer’s question no matter how it’s worded. Gorgias also allows you to create customizable Rules and flows for each command, making customer self-service a dynamic process that is much more similar to traditional customer support.
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With Gorgias, you can automate the answers to pesky and repetitive questions and deflect up to a third of the tickets in your support process. With a full suite of self-service and automation features, you can provide a mix of options so your customers can choose the ones that suit their needs.
If you would like to improve customer satisfaction while reducing your customer support costs, then Gorgias’s cutting-edge self-service tools are the solution for your business. Find out more about what Gorgias can do to streamline and improve your self-service support strategies.
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