

TL;DR:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.
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:
As your brand grows, maintaining quality customer service is tough. Eventually, you can’t obsess over every customer’s experience yourself — even small businesses have to delegate.
Outsourcing customer service is one way to scale up. But that might raise concerns of losing control and disappointing your customer base with poor service. That’s obviously not ideal, especially since 48% of customers will switch to competitors for better service. Any successful brand should be picky about who can access their customers.
But outsourcing customer service can work — with a particular approach. The trick is an in-house/outsourced hybrid model. One that uses outsourced knowledge and resources without losing sight of your brand’s needs, voice, and processes.
That’s the model we use at HelpFlow. For nearly a decade, we've hired and managed customer service teams for over 100 brands as a Gorgias Elite and Services Certified Partner. Our clients have reached chat response times of 10s, email response times of < 4 hours, and CSAT scores of 90+.

Drawing from first-hand experience, I’ll share common challenges brands typically encounter when outsourcing customer support. And how to choose an outsourcing solution to help your brand grow. Last, I’ll tell you what customer service outsourcing companies — like the one I run — need from you to be successful.
Customer service outsourcing is the process of hiring external agents to help you handle customer service tickets.
Outsourced call centers were once the main option for customer support, but most modern services are now omnichannel. That means they can help you keep up with customer interactions on email, live chat support, social media, SMS, WhatsApp, and phone calls.
Outsourced agents can be individual freelancers hired directly (through platforms like Fiverr) or employees of customer service outsourcing companies. These customer service outsourcing companies are a type of business process outsourcing (or BPO).
Let’s dive more into these differences (and why they matter):
There are three main models of outsourced customer support, each with a unique way of supporting your team. Within each model, you’ll still find a wide range of pricing and quality. But before looking for solutions, you’ll want to decide which general model would work best for your team.
Customer service agencies are businesses that help you recruit, hire, train, and manage agents.

Great agencies have proven hiring and training methods, strong teams of skilled agents, and a client roster to guide your decision.
However, that’s definitely not always the case. Some agencies — especially the ones with too-good-to-be-true pricing — hire the cheapest agents available, don’t provide training and will degrade the quality of your support. As with all things, you get what you pay for.
Agencies are the best solution for brands that want an outsourcing solution that’s flexible, long-term, and quick to ramp up.
You can also hire your own external customer service agents individually as contractors.

Like an agency, this saves costs compared to hiring a full-time employee. Since you manage the hiring process directly, contracting individual agents gives you more control over the quality of service. However, you’ll have to hire, train, and manage the agent(s) entirely on your own. Plus, guaranteeing 24/7 coverage and scaling up and down throughout the year will be more challenging than with an agency.
Individual agents are the best solution for small businesses needing only one or two more part-time agents. They must also be willing to invest significant time in hiring and training those customer support agents.
In recent years, there has been an influx of pay-per-ticket services for customer service. These providers offer scalable plans based on your ticket volume. You only pay for the number of tickets in your inbox instead of contracting agents for a set number of hours.

While the pay-per-ticket model may sound attractive, hidden fees and steep minimums make these less cost-effective than advertised.
Generally, hiring contract agents directly or using a higher-quality agency is best.
Customer service outsourcing isn’t the right customer care solution for every company. Sometimes, hiring full-time agents or using customer service automation is the right choice.
Here’s a snapshot of the pros and cons of outsourcing:

The most significant benefit of customer service outsourcing is that it provides your company with additional help. Some other benefits of bringing on an external customer service provider include:
Before getting into customer support outsourcing success tips, let’s dig into the typical traps that cause outsourcing failures.
When hiring directly, brand operators get enamored with the cost savings of outsourcing. They often try to put together a cheap solution that optimizes cost — and then the quality is lacking.

Startups in the space pitch a “just pay $ for each ticket we handle” model, which is a variation of the issue above. Per ticket sounds nice until you realize it means the agents handle 10-20+ brands with little to no training. Sometimes this even means churning ticket volume to drive up the cost.

Pay-per-ticket models become a way more expensive solution than managing CS in-house.
Often, customer service managers can’t manage the external team closely enough — think integration into the team, coaching, etc. This leads to agents operating a bit like customer service robots, which may eventually lead to turnover.

A hybrid structure for your customer service operation offers the best of both worlds. You maintain quality with internal alignment while scaling impact with the human power of an outsourcing partner.
Before you start, your in-house Customer Service Manager builds an effective customer service process. While an excellent outsourcing agency should improve your process, it can’t build a customer support program from scratch. Always start in-house, then bring on outsourced help to scale.
After setup, a customer service outsourcing partner provides additional agents and helps optimize your operations. They can handle tickets, recommend process improvements, create robust reporting, and support special projects like capacity planning and forecasting.
The key is to hire agents who work exclusively for your brand, either directly or through an agency, and work closely with them. That’s the only way to balance quantity, scale, and flexibility.
We use this model at HelpFlow with a wide range of brands. Here’s what Sam Menleshon at Sivana Spirit said about the process:
"I have hired a lot of agencies and service providers over the past 10 years. Some great, some decent, and a lot terrible. Helpflow has been the best experience I have ever had with an outside service provider. Their team analyzed our communication with customers, streamlined it, and built processes for it. After 2-4 weeks of training, 3 agents went live. It was like having in-house employees just appear out of thin air."
— Sam Menleshon, Owner, Sivana Spirit
One of our clients — an ecommerce brand in the apparel industry — came to us after a growth boom. They had a 4-day response time and a 9-day resolution time, a serious threat to any brand’s customer retention.
After working with our team, they reduced response time to 6 hours and resolution time to 30 hours.
Three key metrics indicate when your customer support team may need extra help.

If your first response time and average handle time start to increase, it could be a sign that your agents are hitting their capacity with the ticket volume they can handle.
These metrics can be helpful to benchmark, but you should track your own metrics over time and watch for changes in the wrong direction.
Another warning signal is if resolution time is consistent, but customer satisfaction is down. This could be a sign that your agents are not giving each ticket the same amount of thought and attention, potentially from overwork.
Take note if response times and customer satisfaction are steady, but some agents handle far more tickets than others. This could mean a few agents are taking on extra work that might overwhelm the team eventually.
Note: Be sure to filter out social media comment-related tickets if you are routing them all into the same helpdesk. Combining these with normal tickets can massively skew your insights since they usually require a like or simple response.
Scaling customer service is easier when your infrastructure, workflow, and management routine are well-organized. It doesn’t need to be perfect, but here are the main areas to solidify with your in-house team before outsourcing.
Set up your helpdesk to properly intake and route inbound calls and tickets. For example, in Gorgias, you can set up specific views to organize certain types of tickets in real-time.

This allows your team to divide and conquer based on ticket type and prioritize certain types of tickets to drive more revenue (or save customer risk situations).
You should have basic KPI tracking in place before outsourcing. The most important customer service metrics are first response time, resolution time, customer satisfaction, and ticket volume per agent.
Most helpdesks track these by default but make sure the data is clean as soon as possible.

Establish a weekly cadence to review these, (re)set targets for each one, and notice when the numbers start to get out of whack.
A robust knowledge base and templates may not be necessary for your initial team. However, they’re the best method of proactive quality assurance for external support reps. Gorgias has Macros, or dynamic templates so that you can build a library of on-brand and in-policy responses.

At HelpFlow, we’ve offered outsourced support for nearly a decade. We’ve seen competitors come and go because agencies are very easy to start but difficult to sustain long-term. They can handle a few clients easily but start cutting corners once they grow past about 15.
Here are the key ways to dodge many agencies that can’t back up what they’re selling.
Many agencies hire any agent they can find at the cheapest rates possible to juice their margins. To make sure you’re getting A Player agents, ask the following:

For context, we collaborated with the team at Gorgias on an in-depth post about hiring customer service agents. It goes deep into the recruitment and screening process. Most agencies you encounter won’t have this intense of a process refined over a decade. But it’s a good example of how methodical a hiring process should be.
Customer service agencies often face management issues, causing poor agent retention and 20-30% annual turnover among front-line agents.
This can be challenging for your brand, as you'll spend more time training new agents instead of benefiting from long-term outsourcing.
Great agencies often poach top agents from competitors who offer low pay, poor benefits, and long hours. Choosing a cheap agency risks losing high-quality agents to agencies that treat them better.
It’s common to have customer service teams operate in The Philippines or other countries overseas. However, if managers are in a different country from the support reps, it can cause disconnects and poor quality.
If you’re talking to a sales executive in California who brings in a team leader from New Jersey who mentions their great Filipino team (whom you haven’t met), that’s a major red flag.
Ask how often the team meets in person for get-togethers. Remote support teams are great, but if they’re not getting together in person, the culture is usually pretty weak.
At HelpFlow, our entire team is in the Philippines, including Client Success Manager, Sales, and all other team members. This enables us to hire middle to senior-level people for all roles while keeping costs to our clients low even as we scale.
Competitors with US-based management or sales experience communication and management breakdown as the company grows. This leads to clients paying more than they should for agents who are cheaper and less experienced, which shows up as agent and client retention problems.
The “sales process” you go through with the right agency should feel like a powerful customer service strategy consultation. For example, the agency should review your helpdesk, ask about processes, and analyze your customer experience to suggest solutions.
For example, they could look at your tagging to suggest auto-tags that would make your helpdesk more organized.

Or, if your team already uses Gorgias, the agency should be suggesting ways to improve your team’s speed and create a great customer experience with self-service.
If the agency doesn’t drive the sales process and show expertise from past experience, it’s another red flag.
Once you’ve found an excellent customer support service to work with, the real work begins. On both ends! The training and onboarding process is the most critical part of the process. It’s when things either fall off the rails or start to accelerate and make you realize the power of the team you just hired.

There are a few key things that should happen during onboarding:
The sales team you worked with should have a smooth handoff process with the account management team.
The agency should ask about the project’s details, timeline, tools, and accountable team members. This process should give the account management team everything they need to know before you actually start working with agents.
The agency should have an efficient intake process to access your systems and understand your customer service process. Before the kick-off call, expect a well-designed questionnaire, an analysis of your tickets, and then a call to discuss their findings.
The agency should be able to create a robust training process for their agents, regardless of your current process.

Even if you have little to no documentation, the agency should be able to use the accesses provided and intake information to create a robust knowledge base for the agents to use.
Once training is complete and agents are up and running, it’s crucial to maintain a management cadence of the team. This should include monitoring the key metrics we shared above to gauge the quality and capacity of the operation.
Set up regular meetings with the agency to discuss customer service challenges and initiatives to improve the process.
Many brands tend to operate day to day, without intentionally flagging and pursuing longer-term opportunities within teams (especially outsourced teams).
Ongoing management and a hybrid structure help your agency improve your team further, like expanding multichannel operations or exploring outbound calls and messages.
Looking for a customer service outsourcing provider that can meet your needs? Start with these recommendations as you explore your options:
Scaling past your initial core team is challenging, and outsourcing can be scary. If you get it wrong, it can bring down the brand you built by building an army of angry customers in the market.
But if you get outsourcing right, you can continue to scale up revenue while keeping customer service great. And you can keep improving it significantly over time.
HelpFlow is a Gorgias Elite and Services Certified Partner with experience with customer service teams for 100+ brands over a decade. At the start of any project, we get deep in the weeds with the brand’s team to audit the customer service process. We share a roadmap that calls out issues and suggests resolutions, along with initiatives to improve the customer service operation.
Get in touch with us today to audit your process.
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Keeping pace with customer support tickets is a challenge for many ecommerce brands. Too often, support teams are constantly flooded with very simple, repetitive questions that customers instantly want answered (like WISMO, or “Where is my order?").
The sheer volume of these repetitive tickets leads to a few major problems:
To help brands manage repetitive tickets (and provide an even better experience to customers), we created the Automation Add-on. The goal behind the add-on is to deflect your most repetitive questions, provide order information, and turn pre-sales questions into enthusiastic purchases — all of which are more convenient for your customers.
The Gorgias Automation Add-on provides instant, automated answers to common questions via your email, Help Center, and chat widget. Your customers can get a quick response (and resolution) around the clock, even when a live agent isn’t available.
With automation, you’re conveniently answering questions that don’t require a conversation. Your agents can focus on more important conversations instead of copying and pasting order statuses all day long
The full Automation Add-on is available for Shopify stores, and some features (including returns autoresponders, auto-close spam emails, and quick responses) are also available of BigCommerce and Magento.
But don’t customers prefer human interaction? Not always. According to Statista, 88% of consumers expect brands to have a self-service support portal. This is especially true when customers are looking for information doesn’t really need a “human touch” (and shouldn’t force them to wait for a human to respond).
By using customer service automation, you can give customers the instant information they need while also freeing up agents to focus on conversations that need a personal touch.
The Automation Add-on typically deflects up to 20% of tickets (up to 50% for power users). By deflects, we mean that the customer’s issue is resolved without any human interaction.
Reducing repetitive tickets enables agents to answer and spend more time on high-impact tickets that automation can’t handle.
While customers shop online around the clock, your agents aren’t always available to answer questions. The Automation Add-on’s features can handle frequently-asked questions like “What’s your shipping policy?” “Do you have any promotions?” or “Where is my order?” at any time. You can provide 24/7 service for a large chunk of your incoming inquiries without the overhead cost of hiring additional agents.
“Knowing they can reach us 24/7 is a huge thing for our customers, especially international customers. Because they want to get answers no matter what time it is.”
— Caela Castillo, Director of Customer Experience, Jaxxon
When customers ask pre-sales questions, they’re sending a strong indicator that they’re more likely to make a purchase. And these customers are even more likely to purchase if their pre-sales questions are answered instantly: questions about product sizing, return policies, international shipping, and so on. If they have to wait, they may lose interest.
FAQs and product information in a chat can provide answers and promote your brand — leading to additional revenue. With the Automation Add-on, this information is front-and-center, leading to more chat engagement — a type of engagement that doesn’t require any waiting.
For example, Gorgias customer RevAir saw a 120% increase in chat engagement since adopting the add-on — all while simultaneously lowering response and resolution times. (More on that below.)
📚 Recommended reading: Learn how Jaxxon boosted revenue by a whopping 46% with help from the Automation Add-on.
Any automation should build customer trust in the same way agent interactions would. Whether the customer contacts your company via chat, email, or your help center, the Gorgias Automation Add-on is designed to manage the replies.
The Automation Add-on doesn’t just provide automated answers to questions about customers’ orders. With Auick Response Flows, you can provide answers to common questions, like “What is your shipping policy?” This doesn’t just protect your agents from repetitive tickets, it gives customers answers they need to make a confident purchase while they’re actively shopping.
In your automation configuration, you’ll set up a Quick Response Flow section along with the automated responses.

When the customer clicks on the button, the chat will provide an automated response.

Once the automated response is provided, the chat will ask if the answer was helpful. If the customer clicks “No, I need more help” a ticket will be opened in Gorgias for you to answer with live chat (if an agent is available) or a contact form if nobody’s online.
These Flows can also be interactive. Instead of one answer for each question, you can use multiple steps to collect customer inputs and provide a more personalized answer. For example, you can build a Quick Response Flow around the question, "Which product is right for me?" and then base the suggestion.
Take a look at Princess Polly's website for another example: When customers click "What is your return policy?" they get asked if they're in the US or UK. If they click yes, they get domestic shipping info. If they click no, they get international shipping info. Either way, they only see what's relevant to them.

You can also add Quick Response Flows in your Help Center. This way, when customers land on your Help Center, they'll see common questions and helpful answers in easy, prominent buttons.
For example, BrüMate's Help Center has two Quick Response Flows: one to find the right product, and another to get information about returns.

When a customer clicks on "Fit My Drink," they're taken to an interactive automated Flow, where they answer a few questions to find the perfect product for them:

Since the main questions filling up most brands’ support inboxes are about order status, the Automation Add-on features a self-service solution. With Order Management Flows, customers can track, return, and cancel orders within the chat widget or Help Center themselves.
Order Management Flows add an order management portal int the chat widget, which lets customers log in and manage their orders without waiting for an agent. By opening the chat widget that’s already on your website, customers can:

Your customers can also see order details, such as shipping, billing, and payment information.
Your Help Center isn't just a library of articles to answer questions about your products, shipping, and brand. You can embed Order Management Flows at the top of your Help Center to let customer manage their orders, just like in the live chat widget described above.

By using customized Report Issue Flows, a customer can notify your support team that something is wrong with their order. When customers report an issue, Gorgias will create a ticket for your team and, if you’d like, send the customer an automated message.
You can provide different issue options based on the order type or shipment statuses. For example:
You can even personalize the options each customer sees based on the status of their order in Shopify. This way, they’ll only see relevant options — a customer wouldn’t need “My item is damaged” if we know it hasn’t arrived yet.

Once the customer answers the questions prompted by your Report Issue Flows, a ticket will be opened for your agents in the Gorgias helpdesk. The flow collects the information needed for your agents to handle the issue (and provide an automated response if applicable).
When customers ask questions in chat, Gorgias uses AI to scan the question and recommend relevant content from your Help Center. This deflects live chat questions, and serves customers detailed answers to a wide variety of questions. Here's an example of AI Article Recommendation Flows from Parade, which answers a common question with a detailed article. (Of course, the customer still gets an easy path to human support if they need more help.)

Email has the highest volume for customer support, around 70% of total volume. Reducing email volume by even 5% can have a huge impact on support teams.
Autoresponders can automatically answer routine questions — again, we’ll use “WISMO?” as an example.
The autoresponders use Intent Detection, powered by natural language processing, to detect if incoming emails are related to common topics like tracking or order status.
If Gorgias receives a ticket with a relevant Intent, the Rule will trigger and send the customer the appropriate reply. In the case of “where is my order?” the autoresponder will provide shoppers with a tracking link, resolving the conversation before a ticket was ever created.

If you have the Automation Add-on, you don’t need to set up the autoresponders! Just click Create Rule in your Grogias account and select from the options under the ✨ Autoresponse section.

Autoreponders in the add-on are owned and updated by Gorgias. While you can create your own Rules from scratch, you also get automatic access to this library of automatic responses that Gorgias monitors and provides.
You can measure the impact of the Automation Add-on’s features in the Automation section of your Statistics. The report shows data such as the total number of automated interactions via chat. You can also see this as a percentage of total interactions.

You can further break this down and look at your quick replies, issues reported, returns, and other interactions. You’ll also be able to see how many tickets were handled by agents after automated interactions.

The Statistics Page offers a variety of valuable insights. For example, you can see if a particular product generates a lot of reported issues or return requests. You can also see how your automation usage changes over time, especially if you add additional Quick Response Flows
Loop Earplugs understands the importance of quick responses for its customers. “Self-service allows our customers to solve their own issues at the click of a button,” said Milan Vanmarcke, Customer Service Manager at Loop Earplugs. “These frequent simple questions are solved instantly.”
Loop Earplugs cleverly used Google Analytics on its FAQs to determine which questions had the highest volume as a starting point, and answered those questions in Quick Response Flows. Loop Earplugs turned ¼ of all chat interactions into pre-sales flows, building customer trust along the way.
“When customers get a quick and honest answer, they often end up buying more than one product in a short span of time,” Vernmarcke noted. As a result of the pre-sales flows, the company has seen a 43% increase in revenue from customer support.
Read more about the impact of the Automation add-on on Loop Earplugs.
Beyond meeting a customer’s expectations for instant answers, automation can boost your revenue, as Loop Earplugs found. You have opportunities to promote your merchandise, capture email addresses by offering a discount, or set rules to follow up with new customers. Plus, your human agents will be more free to answer pre-sales questions coming in on chat, or complex, VIP, and escalated tickets that were once buried under a mountain of WISMO requests.
Already a Gorgias customer? Sign up for an automation workshop to learn more about the add-on. Or, if you want the add-on today, log into Gorgias and go to Settings > Self-service (under Automation) > Your store > ✨Get Automation Features.
Not on Gorgias yet? Book a demo to learn more about the customer service platform built exclusively for ecommerce.

Chances are, your brand already uses a handful of customer service channels to connect with customers: email, social media, live chat support, and maybe even SMS. But your omnichannel customer service strategy isn’t complete until you tap into the world’s most popular messaging app.
WhatsApp’s 2 billion active users are spread across the globe, so talking to customers is a must for international brands — especially if you sell in Asia, South America, and Europe.
Below, we’ll give you the basic rundown on WhatsApp and WhatsApp Business, plus a few reasons to start offering customer support on the app. Then, we’ll share a step-by-step process on how any company can start using WhatsApp plus a few tips on how ecommerce companies can do so as efficiently as possible.
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WhatsApp is the most popular messaging app in the world, thanks to its security, reliability, and ability to work without a phone plan — all it requires is Wi-Fi. WhatsApp was initially launched in 2009 and acquired by Meta in 2014.
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WhatsApp’s base service is for individual users. Each user links a phone number to a WhatsApp account, making it a WhatsApp number. Then, you can call, video chat, and send SMS-like WhatsApp messages to friends and family across the globe. WhatsApp supports individual messaging, group messaging, and multimedia messaging — all with end-to-end encryption to protect user privacy.
The WhatsApp Business app lets small businesses and enterprises exchange messages with users of the regular WhatsApp service, upgraded with a few business-specific features.
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When you create a WhatsApp Business account, you’ll gain access to:
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Your time is limited. Even with all these WhatsApp Business features, offering customer support on WhatsApp isn’t a top priority for every business.
Here are a few reasons to consider using WhatsApp as a customer support channel:
WhatsApp is the most popular messaging app in the world, with over 2 billion monthly users and 500 million daily users. Especially if your company sells (or plans to sell) internationally, getting on WhatsApp is a great way to meet customers where they are.
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The app’s global reach is due to a few key benefits for users:
📚 Related reading: Interested in creating new communication channels with customers? Learn how to provide customer support on Instagram and Facebook Messenger.
WhatsApp isn’t just the most popular messaging app, it’s the fastest growing. Especially since getting acquired by Meta, WhatsApp continues to release new features — many of which are especially helpful for customer communication:
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📚 Recommended reading: Learn how to make the most of your customer support messaging (including SMS, live chat, and WhatsApp) with our ultimate guide.
WhatsApp was built using end-to-end encryption, which protects all communication on its platform. The encryption helps prevent third parties from accessing content in calls or messages. WhatsApp themselves can’t even access the data.
Like many other social communication tools, WhatsApp also offers account verification badges for businesses. With a verified badge on your WhatsApp Business profile, you earn trust with your customers and stand apart from fraud accounts.
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If you’d like to offer WhatsApp customer support, here’s a simple guide to getting started and making the most of your new channel.
If you’re just getting started with WhatsApp, you’ll need to download the WhatsApp Business app. Once you download the app, you’ll need to review the terms of service, allow access to contacts and photos, and fill out your account.
The app walks you through basic setup, so we son’t go into much detail here. However, here’s a helpful video you can follow to help you get started:
Once you’ve set up your WhatsApp Business account, it’s time to start customizing your brand’s profile.
Throughout this process, imbue your profile with some brand-friendly copy and images. Just be sure to remain clear about who you are and what you do.
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We left out one key section: Hours. But that’s an important enough step for customer service to warrant its own section — find it right below this one.
📚 Related reading: Read the ultimate guide to social commerce to learn how to sell directly on social media platforms like Instagram and Facebook.
The Hours section of your business profile has two potential uses:
The first option (for local businesses) is straightforward, so we’ll continue discussing how online businesses should use this section of their WhatsApp profile. Ideally, you can give your shoppers around-the-clock support. But that’s not possible for every business — in that case, you want to be very clear about when you’re available.
The hours section can help set customer expectations around your availability. Consider setting hours based around when your team is ready to provide customer care on WhatsApp. Even better, consider using part of your business description to share expected first response times so customers know how long they typically have to wait for a response.
You can even set up an automated away message to let customers know when they send a message while you’re away, setting the expectation that you may take longer than usual to reply.
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While they’re not using WhatsApp, you can take inspiration from Berkey Filters, a water filter brand that does an excellent job of setting clear customer expectation for their live messaging channels:
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📚 Recommended reading: Read the ultimate guide to customer service policies to give your team the processes it needs for fast, consistent responses.
Offering WhatsApp doesn’t mean spending your day checking the WhatsApp app, or opening WhatsApp whenever you get a notification. To stay efficient, integrate WhatsApp into your heldpesk.
When you integrate WhatsApp with your helpdesk, you can send and receive WhatsApp messages from the same app you use to answer customer messages from email, SMS, social media, and others channel you use for customer interactions.
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Your customer care team can keep up with customer queries from all your channels, plus access unique features including (but not limited to):
🛍️ Shopping for a helpdesk? Check out our list of the best helpdesk software on the market. If you’re an ecommerce brand on Shopify, check out our list of the best helpdesk for Shopify stores.
If you integrate WhatsApp with a helpdesk, you can automatically send responses to your most common questions. This has two major benefits:
For example, if you’re an ecommerce company, you likely receive a lot of customer inquiries about order status updates — called “where is my order” (WISMO) requests. On average, order status updates account for 18% of incoming customer questions, according to Gorgias data.
If you integrate WhatsApp with a helpdesk like Gorgias, the software can recognize WISMO requests (and other common questions), apply a templated response, and pull customer-specific information from your ecommerce platform.
And again, order updates are just one example. With the right helpdesk, you can automate responses to most of your common questions so your support team can spend time on complex questions, angry customers, and other situations that need a human touch.
📚 Recommended reading: How to automatically answer WISMO requests to save time and improve customer experience.
Even when a message isn’t fully automated, you have a variety of tools in your arsenal to provide fast, personalized, and delightful customer service. Here are a few to keep in mind.
Your customer service team doesn’t need to write every message from scratch. Customer service templates can save your agents time by giving a baseline for them to tweak for each unique situation.
Plus, templates help you ensure you’re providing consistent, in-policy advice, which is especially helpful to reinforce customer service training.
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With WhatsApp, you can also set up Message Templates to proactively initiate conversations with customers. WhatsApp sets strict limits on these Message Templates: You must submit templates for approval from WhatsApp, and they can only be about select topics (like account alerts, shipping updates, and other issue resolutions). You cannot proactively send marketing messages to customers.
If you use Gorgias, you can now submit Message Templates for approval from WhatsApp and send these proactive messages to your customers.
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You can attach images, GIFs, videos, PDFs, and other files to WhatsApp messages. In a customer service context, this allows customers can show you pictures or videos of a product malfunction, and lets your team share images and videos to help customers troubleshoot.
With the right WhatsApp integrations you can even send WhatsApp marketing and order confirmation emails with interactive buttons. For example, WebEngage lets you send product confirmation messages with easy-to-click buttons to track packages or contact your team:
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By the way, the Gorgias team is hard at work making more types of rich messages like these, such as sending automated order confirmation messages and interactive review requests. You can look out for updates in our product roadmap.
When you’re providing customer service — regardless of channel — a best practice is to consider the entire customer context before writing a response:
The list goes on (and on and on).
If you’re responding directly in WhatsApp, you’ll have to dig around a tall stack of apps to find this information: your ecommerce platform, your subscription app, your reviews app, and so on. Over the course of a day, this can eat up a ton of your team’s time.
If you use a helpdesk like Gorgias, however, you’ll have the customer’s entire order and conversation right next to the WhatsApp chat window.
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Plus, you can integrate Gorgias with other ecommerce apps (like Klaviyo, Yotpo, Recharge, and so on) to see even more customer information before responding.
One of the last tools in your kit is Whatsapp chatbots. Chatbots can be a great way to scale your customer support with a small team — however, they usually come at a cost.
Most chatbots are decent at very simple requests, but quickly provide frustrating experiences when customers ask use unusual wording or ask complex questions. And nothing is more frustrating than unhelpful service from a chatbot that tries to convince you its human.
If you want to use a chatbot, consider a tool like Ada. For best results, integrate Ada with Gorgias to also providing efficient human service and a strong customer experience.
When customers reach out to your brand, a clock starts ticking. For the first 24 hours, you can respond to the message however you’d like — the clock resets whenever the customer sends another message. But if 24 hours passes after the latest message, you can only respond with templates that WhatsApp must approve.
While you never want to make customers wait, this 24-hour window is additional incentive to set up an efficient system to respond to customer support inquiries that come through WhatsApp.
📚 Recommended reading: Our tips to improve customer service response times (so you don’t miss the 24-hour WhatsApp window).
Once you start offering customer service on WhatsApp, set up a system to monitor key customer support metrics. This helps you determine what you’re doing well, how you’re falling short, and where to focus on improving your customer service.
Most customer service software will track a wide range of support metrics with helpful graphs to visualize your performance. However, if you can only track a few metrics, start with:
📚 Recommended reading: Read our VP of Success and Support’s guide to evaluating the performance of your customer support program.
WhatsApp can be a great way to expand your customer care — and with the right tools, your team can be an efficient channel within your customer service strategy.
To get the most out of WhatsApp Business, consider pairing it with a customer service platform like Gorgias. Built exclusively for ecommerce, Gorgias centralizes your team’s support channels like live chat, email, social media, SMS into a single easy-to-use dashboard.
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If you’re in the ecommerce industry, you’ve been on a major roller-coaster ride over the last three years:
The loopy ride is far from over. As you already know, this year will bring its own highs, lows, twists, and turns. To help you understand how the industry is evolving, we spoke with ecommerce experts to forecast the top 11 ecommerce trends for 2023:
During our talks, it became clear that in 2023, the pendulum will continue swinging from acquisition to retention (for real this time), and brands will pivot away from rapid growth and toward sustainable profitability. Watch the video highlighting two top trends, or scroll down for the complete list:
2023 is the year retention becomes a true priority for online stores.
You’ve probably heard this story before. Retention has been a trendy term for years. But for many merchants, creating a retention strategy is like going to the dentist twice a year — everyone knows it’s important but not enough people actually do it.
You can see this lack of true commitment in Yotpo’s recent survey on the state of ecommerce retention. The survey showed that over 40% of online stores didn’t make any changes to improve retention in 2022 (despite 52% saying they were more focused on retention than they were in 2021).

But this year, the combination of rising customer acquisition costs (CAC), uncertain economic times, and tightening budgets will force brands to prioritize retention on the same level as acquisition.
George Walsh, Content Marketing Manager at LoyaltyLion, agrees that brands can no longer treat retention as a theoretical in 2023:
“Next year, we’re going to see more ecommerce businesses move away from acquisition and work harder to retain their existing customers during these economically trying times. Consumers are being pickier with their purchases as cash simply isn’t stretching as far, so brands will have to work harder to prove their value. Businesses themselves are also having to navigate smaller budgets, so with customer acquisition prices soaring, it makes sense to switch the focus towards existing customers.”
— George Walsh, Content Marketing Manager at LoyaltyLion
In other words, it’s time to start flossing — online merchants won’t be able to avoid the dentist in 2023.
📚Recommended reading: Our CX-Driven Growth Playbook has lots of insights on the importance of retention, as well as specific tactics for turning one-time buyers into repeat shoppers.
The same dynamics that push brands to take retention seriously — rising CAC, recession fears, and tightening wallets — will lead to closer focus on profitability (instead of growth at all costs).
Prepare for some major edits to the classic direct-to-consumer (DTC) playbook popularized by the likes of Warby Parker, Dollar Shave Club, and Allbirds. These brands grew incredibly fast by pouring tons of money into performance marketing, generating hype, and offering lucrative deals for online shoppers.
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Then, customer acquisition was the North Star, even if it meant operating at a loss for years. Today, very few brands have that luxury.
The precarious global economy means the end of cheap capital to sustain unprofitable business models. Couple that with a constant rise in digital advertising costs, and many ecommerce stores will find that profitability is the sole path to survival as a business.
That’s why Jeremy Horowitz, Senior Partner Marketing Manager at Gorgias, believes merchants should get serious about their profitability goals in 2023:
“Start setting Net Profit goals yesterday. 2023 will be marked by survival, not top-line YoY % growth. Know your Sales, COGs, Marketing costs, and how much you need to make to pay your team and yourself. Get honest about the ad spend you can actually afford. And get creative about how you’ll earn enough sales to turn a profit.”
— Jeremy Horowitz, Senior Partner Marketing Manager at Gorgias
As the search for profitability takes center stage, more brands will start testing subscriptions as a new, consistent revenue source.
Subscriptions can be the most direct path toward profitability because they help online stores:
To cut to the bottom line, Recharge’s 2022 Subscription Commerce Report shows that 42% of subscribed customers stick with a company for at least a year after the initial purchase, compared to only 1% of non-subscription customers:

Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays, also believes that subscriptions will be a big weapon for online stores in 2023:
“The traditional ecommerce business model relies heavily on one-time customers. But research suggests that this is about to change. Subscriptions were one of our trends to follow for 2022, and they’ve only become more significant since.”
— Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays
When done right, live chat and chatbots provide great on-site conversion opportunities. They recreate the immediate sales interactions of in-person shopping, delight buyers with immediate support, and gather first-party data. That’s why we believe a lot more brands will start using live chat as a key owned marketing channel in 2023.
Now, it’s worth noting that most merchants still think of live chat as a way to provide customer support in real-time. This is an important use case, but it’s only the tip of the iceberg.
Bri Christiano, Director of Support at Gorgias, knows that live chat can also be a great way to recreate some of the best elements of in-store shopping:
“A chat widget can be a great tool to unblock the sales process, both through proactive outreach and self-service functionality. When it comes to proactive outreach, you can set up automated chat campaigns to reach out to shoppers on your ecommerce site. You can:
- Offer a product quiz
- Ask if shoppers have questions
- Share a limited-time discount
- Direct them to best-selling collections
- Make new product recommendations
- Remind them about your free shipping policy
- Explain which payment methods you accept, like credit card, cash on delivery, Apple Pay, PayPal, etc.”
— Bri Christiano, Director of Support at Gorgias
Traditional marketing channels like social media or search engines focus on getting people to your site. But if those visitors don’t make a purchase, you’re earning nothing on your marketing investment.
It’s like spending all your money on a beautiful storefront, but not staffing anyone in the physical store to help the shopper. When they can’t find help, they’ll quickly heel-turn and walk back out the door.
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That’s why live chat’s ability to increase conversion rates is so valuable.
Allen Burt, Founder and CEO at Blue Stout brilliantly sums up the importance of conversions over traffic:
“Most brands don't realize how increasing conversion rates affect profitability. To compare, if you increase your traffic through paid ads by 10%, your profit margin actually goes down on each sale (because ads are increasingly more expensive as you scale). Conversely, if you increase revenue 10% via a conversion rate increase of 10%, profitability goes up far more than 10%, since those sales didn't require any additional ad spend.”
— Allen Burt, Founder and CEO at Blue Stout
Live chat ensures you’re actually taking care of your traffic and potential customers by answering their questions, giving them useful self-serve resources (e.g., FAQs about shipping or payment options), and finding new ways to nudge them toward a sale.
For example, Jaxxon saw a 6% increase in conversions and a 46% revenue boost by creating engaging live chat campaigns, including one to offer VIP-level support to people browsing premium products:
![Jaxxon saw a 6% increase in conversions and a 46% revenue boost by creating engaging live chat campaigns, including one to offer VIP-level support to people browsing premium products: "Hey, you qualify for VIP level support. Talk to your very own personal stylist now: [phone number]."](https://cdn.prod.website-files.com/5e78f62c08f1bb8c2d788576/63d04e6faa4c14720b85b74d_r6vvWG20iFR47ll6MqVgXxKpIlQkK4viqZMN1VAhB_BqULg8pGX1rh7gAsGtXkT-FGldpFP72DXAGB4d2z9VP7DlMZJCMz4RLI6I7euYgK0Bk6q7udrCfsXDZ4m0FLJ9YeMIUX_6KCjhBjs_kfbOGgxNc3AxmsSqQP9g1A-cdxbV6U4tFRfL7vlSN43FIg.png)
Just imagine how much more sales you can also drive with a simple automated message to all visitors like “Spend $50 for free worldwide shipping!” or “All orders over $100 get a 10% discount!”.
Put simply, live chat can help you make the most out of our website traffic.
📚 Recommended reading: Learn how Jaxxon boosted revenue by 46% with Gorgias live chat and self-service.
Live commerce, the shopping format pioneered back in the 1970s (throwback to QVC!), has made a big comeback thanks to the livestreaming functionality of modern social media apps. While its popularity has been mostly limited to China, 2023 could be the year where live shopping takes over the Western Hemisphere.
Klarna’s latest Shopping Pulse report shows that 1 in 4 Gen’Zers from the UK, US, France, and other western countries have already participated in a live shopping event.

Plus, Coresight Research estimates that livestream ecommerce penetration in the US will more than 5x between 2020 and 2026.

Our partners at Coalition Technologies also believe live commerce will be one of the biggest stories of 2023:
“A billion-dollar industry in China and growing in popularity worldwide, live commerce is forecasted to reach $35 billion in sales by 2024 in the U.S. And this is not solely through social media — ecommerce giants like Amazon, eBay, and Walmart are taking advantage of this “social buying” phenomenon by adding livestream shopping to their platforms.”
— Our partners at Coalition Technologies
In 2023, we’ll continue to see the rise of social commerce, which allows shoppers to buy directly on social media apps. Brands will pivot away from social ads and toward social commerce to avoid rising ad costs and find new ways to differentiate themselves.
Besides being cheaper, social commerce also simplifies the buyer experience. It allows product discovery, research, and checkout to all take place on a social media platform (usually Instagram or TikTok), reducing the friction in the customer journey, especially for people on mobile devices.
This is in stark contrast to social advertising, which relies on people clicking on ads, leaving their social media app, and going to an external ecommerce website.

Like live commerce, social commerce also started in China, but the US is quickly catching on.
McKinsey predicts that social sales will form 4.7% of all US retail ecommerce sales in 2023, with that figure projected to go up to 5.2% in 2025. Globally, the social commerce market is also expected to grow to more than $2 trillion by 2025.
The boom in online sales during the COVID-19 pandemic created lots of competition for established merchants. As a result, many brands started selling globally and this trend will only accelerate in 2023.
Juniper Research showed that the value of cross-border ecommerce will exceed $2.1 trillion in 2023, from $1.9 trillion in 2022. Additionally, ShipBob’s 2022 State of Fulfillment Report found that nearly 32% of brands plan to fulfill orders in a new country.
Kristina Lopienski, Director of Content Marketing at ShipBob, also confirmed that more and more merchants are looking to sell abroad:
“With high competition and potentially reduced consumer spending in local markets, many brands are looking across borders for customers who are interested in their products. ShipBob’s 2022 State of Fulfillment Report found that 56% of brands planned to expand cross-border offerings this year (of which, 32% planned to start physically fulfilling orders in new countries in 2022).”
— Kristina Lopienski, Director of Content Marketing at ShipBob
This year, personalization will go from a nice-to-have to a must for online stores.
You’ve heard this one before, too. But in 2023, merchants will have a much bigger incentive to double down on personalization.
The more personalized an experience, the higher the chance of converting visitors into buyers. The higher your conversion rates, the more you get out of your marketing spend. This leads to better profit margins, which, alongside retention, is the mother of all goals in 2023.
Plus, there’s ample data to show that customers value personalized experiences, while online stores don’t do a great job of delivering them.
According to Segment’s 2022 State of Personalization Report, 49% of all customers say they’ll likely become repeat buyers after a personalized shopping experience. Yet, only 35% of companies feel they’re successfully achieving omnichannel personalization.

Arjun Jolly, COO at adQuadrant, also explains that personalization is now an expectation rather than a bonus in the eyes of customers:
“71% of consumers expect personalization and 76% are disappointed when they don’t receive it, so it’s becoming incumbent upon brands to deliver from awareness through to conversion and loyalty.”
— Arjun Jolly, COO at adQuadrant
However, today’s brands can’t rely on yesterday’s main personalization weapon — third-party customer data. The value of third-party data has decayed due to:
That’s why the foundation for successful personalization in 2023 will be zero- and first-party data gathered directly from visitors and buyers and stored in a CRM-like tool.
Brands will need to focus on the old-fashioned way of uncovering what their customers want — talking to them (via surveys or live chat, for example).
Like Alex McPeak, Content Marketing Manager at Klaviyo, says:
“As brands throw out the old DTC playbook, and instead come to recognize the importance of really knowing and understanding what drives their customers, there’s going to be a renewed focus on talking to customers, gathering data and insights, and applying that knowledge to brands’ marketing strategies moving forward.”
— Alex McPeak, Content Marketing Manager at Klaviyo
This year, we may finally see AR become a staple in online shopping. Of course, technologies like virtual reality (VR) and artificial intelligence also deserve a mention here, but 2023 feels like the year of AR, especially as virtual try-ons gain popularity.
Here’s why:
According to Statista, 110 million users in the US will use AR at least once per month in 2023, up from 83.7 million in 2020. This is a big increase, especially compared to VR, which hasn’t fared nearly as well.

This increase in usage coincides with a year in which brands must be laser-focused on delivering a great user experience.
Additionally, popular ecommerce platforms and marketplaces are already using AR. For example, Amazon uses AR to improve the mobile shopping experience by letting visitors see how furniture would look in their room — a big advantage over shopping in a brick-and-mortar store.

Arjun Jolly, COO at adQuadrant, also believes 2023 is the year AR goes viral:
“AR has been trending for some time, but it’s yet to really hit the mainstream. We think 2023 is the year it finally happens.
While entry into the VR world will set a user back at least $1,500 (for the headpiece/goggles), most adults in the U.S. are already prepared to use AR via their smartphones.
We’re already seeing mass adoption from marketers in the make-up and furniture spaces with a sprinkling of auto and retailers for good measure. And, while the metaverse is busy trying to get off the ground, AR offers users the ability to truly blend, and benefit from, real and digital worlds.”
— Arjun Jolly, COO at adQuadrant
It’s no secret that sustainability already plays a big role in forming shopping habits, especially among millennial and Gen Z consumers. While this is a well-established trend, we decided to include it as it will continue to grow in 2023.
Talkwalker and Khoros’s Social Media Trends Report shows that 2023 will see brands focused on sustainability take a larger share of the market. At the same time, shoppers continue to emphasize the importance of sustainability, with 82% wanting companies to put people and the planet before profit.
According to Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays, the biggest sustainability initiatives this year will be focused on packing waste and shipping options:
“Remember when “eco-friendly” was just a marketing buzzword? Today, it’s become an opportunity to build a unique value proposition for your online store. Sustainable ecommerce makes good business sense. From more sustainable products to reducing packaging waste and better shipping options, steps taken now can reap significant rewards in 2023 and beyond.”
— Ryan Kodzik, Founder & Chief Creative Officer at Future Holidays

McKinsey even calls packing sustainability a “megatrend” prompted by consumer sentiment and tighter regulations across the world.

All this talk of recessions, smaller budgets, and consumer uncertainty can paint a pretty grim picture of 2023.
Fortunately, we also have some great news — the growth trajectory will pick back up after the stabilization of 2022 and we’ll see an increase in global ecommerce revenue and growth rates.
Statista’s research estimates that online retailers will grow their sales to $6.3 trillion in 2023, compared to $5.7 trillion in 2022. This figure is projected to go as high as $8.1 trillion in 2026, which would mark a 56% increase from 2021.

Source: Statista
Statista also predicts this growth will vary across the globe. China, the current ecommerce leader, is projected to grow its ecommerce sales by only 15% between 2022 and 2025. The US and Europe are poised for up to 50% growth over the same period.
Additionally, Nicole Walker, Partner Marketing Manager at Loop, believes the share of all retail revenue that comes from ecommerce will continue to rise:
“Year-over-year growth may look similar to 2022, which is a far cry from the boom years of 2020 and 2021. But, the proportion of retail revenue that comes from ecommerce will continue to grow, thanks to the continued popularity of online shopping. And that’s great news for Shopify merchants – the opportunity to grow and expand is still very real.”
— Nicole Walker, Partner Marketing Manager at Loop
Despite the new challenges and opportunities for online merchants, the most important trends of 2023 won’t be exactly novel.
Yes, we know it’s more fun to talk about the impact of machine learning and other cutting-edge ecommerce solutions. These technologies will surely play a role, but on the whole 2023 will be marked by a renewed focus on the most fundamental concepts in the world of online commerce: retention, profitability, and customer experience.
Here are three things you can start doing today to stay ahead of the game:
Looking for help in 2023? Our Partnerships team has a wide network of agencies and tech tools ready to help ecommerce brands like yours achieve your growth goals. Answer a few questions (3-5 minutes) for hand-picked suggestions from our team:
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There are plenty of reasons your company might use Gorgias. For starters, it keeps your support team organized and efficient (and prevents your laptop from overheating from a million open tabs). But here at Chomps, one of our favorite things about Gorgias is how it helps us analyze tickets to improve our product, customer experience, and brand. Every. Single. Day.
I’m Zoe Kahn, the Sr. Associate of CX here at Chomps. We’re a better-for-you snack brand dedicated to serving the highest quality products and the best experiences to our consumers.

We’ve been using Gorgias for almost a year at Chomps. And at my last company, I switched our helpdesk to Gorgias (where I fell in love with the tool). Big-time Gorgias girlie here.
Below, I’ll show you how we use Gorgias to analyze tickets and surface insights that help us improve the Chomps brand. I hope you can steal some of these ideas to improve your product and brand, too.
Ticket analysis means studying customer support conversations to find the root of your customers’ most common frustrations. It’s how you evolve your product to delight customers and build a brand that people genuinely love.
Let’s back up to understand the kinds of insights we can learn. We all know that issues are inevitable, especially in the ecommerce world. Tons of things can go wrong, like:
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But even when things do go wrong, we want to make experiences seamless for our consumers. At its most basic, this means getting customers answers as fast as possible when they experience issues. But even better, it means being proactive about preventing future issues rather than constantly applying bandaids.
Ticket analysis is how you make all of this happen.
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Every company approaches ticket analysis a little differently. At Chomps, ticket analysis helps us find patterns in support tickets and improve our products and processes. The end goal is more happy customers and a leaner support team — both of which hugely impact the business’s bottom line.
At Chomps, we use multiple tactics for ticket analysis, all based on the tools and dashboards Gorgias supplies. If you’re serious about ticket analysis, you’ll have the most success by first setting up a solid foundation within Gorgias.
Specifically, you’ll want to integrate all of your channels (email, SMS, live chat, and so on) and set up clear Views to keep your work organized.
Once you set your foundation, you’re ready to tag your support tickets. Tagging tickets — consistently and robustly — is the key to analyzing your frequent support issues and making high-impact decisions backed up by data.
At Chomps, we use three methods of tagging to keep track of our ticket trends:
To get Gorgias to start auto-tagging tickets for you, you’ll set up auto-tags based on your unique business and the kinds of inquiries you usually see. Here are some common tags we use at Chomps that you’ll probably need, too:

Let’s use my favorite priority folder as an example: the Urgent tag.
Auto-tagging is super relevant to most DTC businesses: It surfaces tickets that need immediate attention, such as order changes and address updates that need to be implemented before an order’s out the door.
This automation is incredibly useful, especially when you’re dealing with a high volume of tickets.
Here’s what our URGENT tagging rule looks like at Chomps:

Let’s look at the logic:

We use this tactic across a variety of areas — every single subject in our dropdown list auto-tags the ticket so we can route it correctly.
These tags — whether generated from the form or automatically applied based on keywords — allow us to assign priority and monitor the types of tickets we receive. These tags help us find common issues and inefficiencies and solve issues at the root.
Thanks to this urgent auto-tag Rule, we are more likely to update incorrect customer orders before they’re fulfilled by our warehouse. Since our warehouse team is speedy, if orders aren’t adjusted (almost) immediately, these requests get lost among all the non-urgent requests.
Not being able to prioritize correctly means we either lose money by honoring a replacement order or upset the customer.
The fixes don’t just apply to support operations, either: We’ve made changes to our website, fulfillment processes, marketing emails, and much more based on this kind of bulk ticket analysis.
📚 Related reading: See nine more Rule suggestions for auto-tagging your customer service requests.
We use tags to track ticket types and to understand the percentage of our total tickets that each topic makes up. Automation gets us most of the way there, but even Gorgias’s best-in-class language detection isn’t 100% perfect. Anyone who works in customer service knows that customers can use all kinds of different vocabulary to describe what they’re after.
At Chomps, every team member gets trained to check the tags on a ticket as soon as they start working on it. On top of that, no tickets should ever be closed without applying at least one tag.

Thanks to this vigilance, we have a lot of confidence in the data we’re using for ticket analysis. There’s no point in spending time analyzing support tickets if you think the data is bad, so it’s worth building these habits and processes. Future you will be thankful (and so will all your customers).
💡 Pro tip: If getting your team to check and apply tags is a challenge, you can set up a Rule that reopens untagged tickets or assigns them to a manager.
Macros are imperative for keeping an efficient and lean support team. But did you know you can also use macros to monitor inquiries, problems, and customer feedback?
I have a great example of this. At one point last year, we weren’t able to keep up with demand and many of our jerky stick flavors were going out of stock (a good problem to have, but still a problem).
We made efforts to proactively communicate supply issues, like back-in-stock notifications and keeping social media up to date with the available flavors. However, we’d still get an influx of consumers who wanted to know when exactly specific flavors would be back in stock.
Using Gorgias, I was able to set up Macros based on each unique flavor we offer and send these out to every customer who asked. It’s not all that creative, and most support teams and companies would stop there. We didn’t.
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From there, I looked at our team’s Macro usage and reported back to the rest of the company weekly to share which flavors were requested the most. This analysis was crucial because at that time we had to pick and choose which flavors to produce.
We needed clarity on what our consumers really wanted — rolling the dice and gambling on random flavors would have made a bad situation worse. Specifically, we may have ended up with overstock on some flavors, and failed to stock up on flavors customers would actually try to order.

This is just one example. But these kinds of issues are things that pop up all the time when you work in customer service. Getting smart about your Macro creation and monitoring usage unlocks a whole new set of data your CX team can use to understand your customers.
You can analyze until you’re blue in the face, but if the outcome isn’t taking tangible action to improve your product, customer support, and brand, does it really matter?
Implementing changes based on your support ticket analysis is where the true brand improvement happens. You can’t do that without creating an impeccable feedback loop with key players across your company.
At Chomps, our CX team has recurring meetings with different parts of the team to share the results of our ongoing ticket analysis. Here are two regular meetings we use to share insights:
Each month, we have a meeting between our CX and Ops teams. This is where we go over product complaints, innovation requests, and order fulfillment hiccups.
We like to keep this meeting recurring instead of just doing it when there’s a fire to put out. It allows us to touch base on what’s coming in future months, putting us in a more proactive place. However, we’ll schedule additional meetings if we see an influx in complaints on a certain topic.
We structure the meetings around notable tickets with the following tags, all of which fall into our operations category:
Each month, we analyze the number of tags along with the number of times relevant Macros get used. We compare these to the previous month(s), keeping in mind the percentage of issues compared to sales.
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For example, if the Macro named “Fulfillment - Mis-ship - MISSING” is up 25%, we can reach out to the warehouse team and ask them to look into what might have happened. Maybe there’s a new team member who needs more training or maybe some bins have gotten mixed up. Stuff happens! Issues are inevitable, the trick is to find (and correct) them.
We get a ton of value out of analyzing complaints around things like taste and texture, as well as innovation requests. Our goal is to amplify the voices of our customers to help other teams throughout Chomps understand what matters to our customers, so we can give them what they want.
Each week, we discuss support tickets about sales, user experience, site bugs, and related topics with our Ecommerce team. They take the insights and apply improvements to our site.
For instance, this past summer, we had a “$10 off $49” promotion. Customers experienced confusion about the fact that they had to manually enter coupon codes, and didn’t always understand they needed to reach a $49 threshold for the code to work.
Below is a clipping from an old promo email we sent out for a sale. Customers had to use the code at checkout and ensure the order was over $49. This initially seemed like no big deal to us. But every extra step or stipulation you give the customer is a barrier to conversion.

These are “issues'' we didn’t think of before launching the promotion, but customers wrote in when they experienced these issues. We received emails saying, “I forgot my coupon code,” and noticed conversions decreased. We wondered if it was perhaps because we didn’t provide examples of how to get to the $49 threshold and didn’t offer any “help” at checkout, or examples in the emails.
We were able to improve our promotions in the future thanks to ticket and Macro analysis.
In promotions we’ve held since then, we’ve:

We also do a better job of showing the types of discounts customers can receive right on the website, in the flow of shopping:

We also installed a Shopify app that helps guide customers to discounts in their cart — for example, a clear indication of how to unlock free shipping. This helps us increase conversions and average order value (AOV) and decrease customer frustrations and confusion. A win-win for Chomps and our lovely consumers!

Without analyzing these support tickets, we would probably be making the same mistakes over and over again, losing out on sales while frustrating our consumers at the same time.
This last suggestion isn’t exactly a step in the process. But it’s something to keep in mind as you share customer feedback with your team: Take advantage of the fact that Gorgias allows unlimited seats.
During our new employee onboarding (for all positions at Chomps), we teach new hires how to use the Gorgias platform. They also get to spend a couple days “on the desk,” handling tickets in Gorgias. This is helpful for team onboarding, plus it means we don’t have to hire additional outside help or sacrifice our average response times during peak seasons. We simply grab internal volunteers to help!
This also helps with analyzing issues: Oftentimes, Chomps volunteers from other teams have different insights and can spot issues that we CX folks might not have noticed. For instance, Alexa from our ecommerce team has helped out a few times, and here’s what she told me about using Gorgias:
“As a non-CX'r, Gorgias has made helping out the CX team so much easier. The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”
Gorgias includes all kinds of tools to help us analyze our support tickets at Chomps. This analysis has tons of impacts:
At Chomps, we love to connect with and build relationships with our consumers. We think it’s part of what makes for an exceptional brand. It’s how you get loyal customers. But you can’t do this when your CX team is bogged down with tickets or your product is rife with issues.
Ticket analysis is the secret sauce that uncovers issues so you can focus on delivering exceptional experiences, over and over and over.
Want to keep learning from other Gorgias power users? Check out our recent webinar with jewelry brand Jaxxon. They share how they prepare for peak season and set up customer experiences that drives sales instead of repetitive tickets.

Quick summary:
A lack of proactive communication and resources from businesses largely causes WISMO. The best way to reduce WISMO is to provide self-service resources like a chat widget with automated responses and a shipping policy page allowing customers to track orders and find solutions.
WISMO (where is my order?) is the most common question in ecommerce, accounting for 18% of incoming requests on average, according to Gorgias data.
While WISMO requests are common, too many of them signal an un-optimized customer experience and cause real consequences:
By developing a strategic plan to manage WISMO requests that includes automation and self-service resources, ecommerce businesses can cure overflowing inboxes and provide better customer experiences.
Below, learn how to develop your own strategy to stop WISMO requests before they ever turn into support tickets.
WISMO is an acronym that stands for “Where is my order?” It’s a common question customers often ask after making a purchase.
The answer to this question depends on the status of the customer’s order:
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WISMO queries can look like…
A customer may reach out to you with a WISMO inquiry via phone, email, SMS, live chat, chatbot, or social media (direct message or through post comments). However, customers tend to reach out only if:
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The moment a new customer clicks “Submit” on a checkout page, they’ll start thinking (a lot) about their order. According to Forbes, the average customer checks the status of their order 4.6 times.
If a customer doesn’t hear anything about their order from you or has to wait too long for an update, they’ll likely get anxious and send you a WISMO request.
Apart from that, there are additional reasons you should pay attention to WISMO calls:
A surge in WISMO requests is a result of both internal and external factors, primarily rooted in a lack of communication and insufficient systems. Here are four internal and external causes to help you address and mitigate WISMO tickets.
Addressing the internal causes of WISMO tickets is crucial if you're looking to enhance your order tracking and customer communication processes. Here are two key internal reasons for WISMO tickets:
External factors are often beyond your business' direct control but can be managed through proactive measures. Here are some external reasons for WISMO tickets:
When you identify both the internal and external causes of WISMO inquiries, you can take proactive steps to decrease their occurrence and improve the overall customer experience.
Most ecommerce merchants are aware of WISMO and the support costs associated with handling tickets, but not all of them understand the true cost of leaving all WISMO requests to a human.
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When customers send WISMO requests to your human team, you’ll end up paying the most due to the cost of a human agent searching for the answer and responding manually. In this case, you’ll have to pay for the price of one ticket and customer support agent labor, which comes out to an estimated $12.
Here’s the math:
Imagine you have 1,000 orders per month and receive 150 WISMO requests. Each month, you’re paying $1,860 (150*$12.40) just to answer questions about order status.
Additionally, a queue full of WISMO tickets also means your team has less bandwidth and time to respond to frustrated customer emails and resolve priority tickets (like pre-sales questions or questions from VIP customers).
Let’s say you’ve created an automated response for WISMO in Gorgias using a Rule, or an automatic reply with a helpdesk like Gorgias. When a customer asks, “Where is my order?,” they’ll receive an automatic answer with personalized details about their order status without any human intervention.
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In this case, what WISMO request costs you is the price of one billable ticket in your Gorgias helpdesk, which is between $0.18 and $0.40, depending on your plan.
Most brands wince at the words “automated answer,” and for good reason. Some brands overuse automation, providing a frustrating customer experience. But customers would much rather have this information instantly available than wait for a “human touch.” And if your human agents spend all their time on these simple questions, they won’t have time or energy for tickets that actually need a human touch.
Jewelry brand Jaxxon has found success implementing automation into its customer support:
“I was very apprehensive about using automation, but we're really liking it! I've tested it out myself as if I'm a customer, and it's really a smooth process.”
— Caela Castillo, Director of Customer Experience at Jaxxon
This is the cheapest option for your business and the most convenient option for your customers.
When you’re able to deflect WISMO queries with self-service, your cost will be $0! If you can direct people to real-time order tracking in your chat widget, Help Center, or FAQ page, you ensure that customers get an answer before a ticket gets created and your support team can focus on the people with more complicated issues.
Check out this video to learn how to provide order tracking (and more) in chat to customers with the Gorgias Automate product:
But wait, is automating responses good for CX?
When people ask for a status update on an order, they’re looking for a simple information exchange — not friendly conversation. Most likely they’re looking for an immediate answer without having to type up an email and wait for a response.
If your agents are busy responding to simple WISMO tickets, they won’t be available to provide the human touch on tickets that actually need it. Plus, customers can always ask follow-up questions via email, chat, or phone if they really need more information.
Most customers send in a WISMO inquiry because they’re concerned about their order. The best thing that customer service teams can do to reduce the number of these requests is to provide order status information proactively.
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In Gorgias, you can enable the self-service portal feature on your chat widget and Help Center to quickly resolve WISMO requests. This feature allows your customers to check their order status, package tracking number, and shipping details on their own. They can also request a cancellation or return, and report issues about their order — all without having to type up a message.
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This strategy has proven effective for the Jaxxon team. “Chat used to be a support tool for repetitive questions and problem solving,” says Caela. “But now self-service takes care of that for us. Within a month of launching self-service, we’ve seen that our live chat (billable chat tickets) went down by 17%.”
Businesses can also provide this self-service order tracking via a help center. For example, shoe brand ALOHAS offers a “Manage your orders” section at the top of its help center with Gorgias.
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Check out this tutorial to learn how to install this feature for your helpdesk.
Just showing delivery estimates on your website isn’t enough. You should also keep customers posted on their order fulfillment status at each post-purchase stage to ensure a smooth delivery process and a positive delivery experience. You can automate delivery update emails within Shopify if you have a Shopify store.
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Start with these:
📚 Read more about how to optimize your customer experience to deflect WISMO tickets and generate revenue.
If customers do send you a message about the status of their order, they expect a quick response from you. To fulfill their expectation, you can accelerate your responsiveness by using customer service automation to deliver an immediate response.
In Gorgias, you can create automated responses for WISMO requests no matter if order tracking is available or not. Here’s how:
Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.
Step 2: Do the following:
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Step 3:
Hey {{customer first name}},
Get excited! Your order {{number of last order}} is on its way to <address 1, address 2, Zip code, city, province>.
Here is the latest: {{ Tracking URL of last order }}
{{ Tracking number of last order }}
Let us know if you have any other questions.
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Step 4: Click Save rule and activate the rule.
Sometimes, the delivery status for orders on the order status page hasn’t been updated. Reasons can be you haven’t shipped the order yet, or your courier doesn’t support real-time tracking.
In this case, you can create the following rule to send an automated answer to your customer’s WISMO request.
Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.
Step 2: Do the following:
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Step 3:
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Your answer can be like this:
Hey [customer first name],
Working hard to fulfill your order, please check here for now: .
Here’s your order number .
Keep an eye on a tracking email soon!
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Step 4: Click Save rule and activate the rule.
If you subscribe to the Automate product, you’ll get access to autoresponders managed by the Gorgias team, so you won’t have to set these Rules up yourself:
A clear shipping policy helps you proactively set the right customer expectations around shipping times and costs. It’s also useful to reduce support tickets because customers can find the answers to their shipping questions themselves.
When you maintain an open dialogue with customers, you give them more confidence to buy from you. They’ll trust you, talk about you on social media, and keep coming back to your store.
Your shipping policy should include information about order processing time, estimated delivery time, potential service interruptions, and disclaimer. You can display this policy on product detail pages, cart pages, FAQs page, or help center, for example:
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Since the wake of the Covid-19 pandemic and supply chain issues, many online stores have set up a dedicated page for showing how they’re handling shipping. They also inform shoppers by displaying the information on a website announcement bar or popup.
Here’s an excellent example from Go-To Skincare:
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You should also always link to an order tracking portal within all order confirmation emails so that customers can self-serve checking in on order status.
And, as an alternative to sharing the order number front and center in the confirmation email, consider putting “track order” that links to your self-service order tracking portal. You should still share the order number, but provide an even more prominent call to action to track orders on your website rather than your carrier's (like FedEx or USPS).
Proactively solving for WISMO requests with automation and self-service can help you reduce customer service costs, increase customer satisfaction, and improve your support agents’ performance. That was the case for the ALOHAS team.
“Since we started to fully leverage Automate, overall, 56% of chat tickets are handled by self-service.”
— Annalisa Micalizzi, Manager of Global Customer Service at ALOHAS
Once agents are, they can start reaching out to live shoppers to unblock sales, proactively DM customers to bring social traffic to the website, or a myriad of other revenue-boosting CX activities.
Ready to outgrow WISMO with Gorgias? Claim your demo or start a free trial.
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On the Shopify App Store, you'll find no shortage of apps purporting to increase your store's sales.
But while most of these apps do indeed offer some value, many sales-boosting activities are actually activities that are not directly related to sales — chiefly by improving the customer experience before and after customers make a purchase.
With that in mind, we decided to break down some of the best Shopify apps for both directly and indirectly boosting your sales. Read on to see our full list of top-selling, sales-boosting apps.
Shopify rating: 4.2 ⭐ (35 reviews)
Conversion rate optimization is underrated. Most online stores focus so much on promotion: more money on ads, more emails, more marketing. But boosting your store's conversion rate means that all of those customers you are driving to your site with your marketing efforts are that much more likely to place a purchase.
And that's exactly what CartHook helps you do. Not only can you optimize your checkout with CartHook's drag-and-drop tool, you can also add upsells to your checkout process.
Upsells and cross-sells are both great strategies for increasing average order value, which boosts revenue without having to spend tons on marketing efforts to bring more customers to your site.
By sending these upsell and cross-sell offers automatically following a purchase, Carthook turns every sale on your website into an opportunity for even more revenue generation.
Shopify rating: 4 ⭐ (1,650 reviews)
Imagine that you buy two dresses from a store. The store sends you an email informing you they have a pair of shoes on sale that would go well with those dresses. Which is more powerful: that email or a generic one inviting you to buy as much as possible on their site?
Klaviyo, the best Shopify app for SMS and email marketing, takes care of this for you. It gathers data on purchase history, browsing history, engagement, and demographic information to create hyper-targeted promotions at scale.
Learn more about how Klaviyo integrates with Gorgias.
Email marketing remains a highly effective way to reach customers and drive sales. Email marketing that is targeted and personalized, meanwhile, is all more the more advantageous. With Klaviyo, you'll be able to create automated, personalized email marketing campaigns that are hyper-targeted for optimum conversion rates.
Shopify rating: 4.8 ⭐(579 reviews)
According to a study by Experian, transactional emails average a 114.3% open rate and a 14.4% click rate vs. promotional bulk emails, which average a 12.5% open rate with a 3.1% click rate — that’s 10X open rate, 5X click rate, and 6X more ROI.
This provides a great opportunity to personalize your store’s push notifications to match your brand, facilitate engagement and drive repeat purchases using marketing components.
These include personalized product recommendations, unique discount codes, countdown timers, and referral components. Paired with analytics so that you can iterate with data — after all, you can’t manage metrics that you can’t measure.
Spently makes it easy to customize your Shopify notifications using their builder, allowing you to leverage this captive audience’s engagement within minutes.
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One of the few drawbacks of email marketing is that not everyone opens brand emails. But the high open rate of transactional emails make them an excellent medium for broadcasting key marketing messages.
By enabling you to customize these notifications and transactional emails to include product recommendations and other marketing materials, Spently lets you capitalize on the captive audience these emails and notifications provide.
Shopify rating: 4.4 ⭐(533 reviews)
According to data from Shopify, 7 out of 10 online shoppers say that they will spend more money with a business that provides consistently great customer service. However, providing this type of customer service can be tedious and overwhelming without the right tools.
Fortunately, Gorgias solves this problem with Macros and Rules automation. Our helpdesk app allows you to set up rules for frequently asked questions. It detects the text in a conversation and responds based on the rule you create.
For example, Gorgias automatically deflects WISMO tickets and keeps shoppers up to date on their order status. Because of our user-friendly integration with Shopify, we can pull the order data based on the customer's email address and insert that into the reply — no need to copy/paste information or switch tabs
Plus, you can connect all your social media accounts, SMS, voice, and more, for an omnichannel solution.
It's easy to set up, and we help you create these rules, so start a free trial here!
Today, customer experience is the new battleground on which Shopify sales are won. By offering exceptional customer support via Gorgias, you can improve customer loyalty and generate more referrals and word-of-mouth advertising.
Gorgias also enables brands to draw a direct line between customer support and revenue generation with detailed revenue statistics showcasing the impact of customer support on your brand's bottom line.
Shopify rating: 4.9 ⭐(663 reviews)
Real-world shopping is often a very social activity. You get together with your friends and go to stores to try out products. Studies show that we're most influenced by what our friends think and say about a brand.
When we shop online, that social element tends to be missing. That's why you need Okendo, the best Shopify app to mimic that social element and showcase customer experiences.
Okendo makes it easy for you to collect what people say about your products and brand and display them on your Shopify store at key points. This enhances the customer experience allowing them to see your products in a social context.
Through a range of user-generated content like ratings, reviews, trust badges, photos, and even videos, your visitors to your store can see how others are using and loving your products, increasing the chances that they will purchase.
Learn more about how Okendo integrates with Gorgias.
Customer reviews provide your products and brand with powerful social proof, providing unbiased information guaranteed to increase customer trust.
By helping you collect more of these invaluable reviews and enabling you to display them at key points across your store, Okendo creates a more social customer journey that will improve your store's conversion rate.
Shopify rating: 4.6 ⭐(165 reviews)
Returnly is a Shopify app that helps you create a more customer-friendly returns process and helps reduce the negative impact of product returns by incentivizing customers to exchange their product rather than return it for a refund.
Returnly allows you to create transparent return policies and enables customers to return products without jumping through hoops. It also connects with your existing logistics systems to handle these returns at a lower cost to you and your customers.
More interestingly, Returnly has an instant refund feature where customers can get a refund on their returns before sending the product back. You may think it results in fraud, but it actually increases customer loyalty and results in re-purchases!
Learn more about how Returnly integrates with Gorgias.
Product returns can take a big chunk out of an online store's profits, but it's still important to offer a smooth and easy returns process to retain more loyal customers. Not only does Returnly help boost customer loyalty by offering them a hassle-free returns process, but it also helps mitigate the financial impact of returns by encouraging customers to exchange their items instead.
This sort of "addition by subtraction" grows your store's sales by reducing the number of lost sales due to returns.
Shopify rating: 4.3 ⭐(29 reviews)
Loop Returns is a returns management app that shares much in common with Returnly. Both apps enable you to streamline the returns process for your customers by creating returns policies and branded returns portals.
However, one key difference is that Loop Returns incentivizes exchanges over refunds by offering customers bonus store credit for choosing to exchange their item rather than return it. This helps mitigate the impact of product returns on your store's bottom line.
Learn more about how Loop Returns integrates with Gorgias.
Loop Returns provides the same sales-boosting benefits that we've already covered for Returnly — it just goes about it slightly differently. With Loop Returns, you'll be able to incentivize customers to choose exchanges over returns by offering them bonus credit. Your customers will love this, and the cost of the bonus credit you provide is sure to be lower than the losses incurred by processing a return.
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Shopify rating: 4.5 ⭐(404 reviews)
Retargeting ads are an excellent way to recapture potential customers who have already discovered your products, and Shoelace is an app that completely automates this process for you. It's like hiring the world's best retargeting expert to run your campaigns, but really it's just an excellent Shopify app.
Once you plug Shoelace into your ecommerce store, it starts to generate campaigns on its own. Yup, it even suggests the ad creatives, so all you have to do is approve it. Then it retargets visitors based on the pages they visited and the products they're interested in. That makes it highly personalized to them.
Imagine you sell all types of fashion items, from shirts to shoes. Someone visits your site to look at a shoe and then browses a competitor to compare prices. Instead of a generic retargeting ad that most stores create, your ad automatically promotes that specific shoe, reminding them to come back and purchase it.
It's rare these days that customers will purchase a product as soon as they discover it. It's much more common for customers to take their time, researching your product and comparing it to competitors.
However, you want to make sure that customers who discover your product don't forget about it throughout this process, and retargeting ads are a great way to keep it on the forefront of their mind. Shoelace runs these powerful retargeting ads automatically, ensuring that anyone interested in your products is carefully nudged toward a purchase.
Shopify rating: 3.3 ⭐(36 reviews)
Running an ecommerce business is a lot of work. One great way to free up time in your schedule is to list all the repetitive or mundane tasks you and your team are doing and automate them. Anything involving data transfers, synchronizing customer information, updating tags, etc., can and should be automated.
With Shopify Flow, you can set up rules to do this. For example, if you want to tag a customer as high value based on their purchase volume, you can set up a workflow like the one in the image.
That tag can also be passed on to your other apps, like Gorgias, so that it’s synchronized. To take it a step further, you can set up an automated ticket prioritization system in Gorgias based on tags so that the high-value customers get priority.
It may seem like a little thing but even if tagging a customer in different systems takes only a minute, when you multiply that by the number of sales coming through during BFCM you could potentially save hours.
And the time you save can be used to put out fires without feeling overwhelmed or dropping the ball.
Automating time-consuming ecommerce tasks won't directly boost your store's sales, but it will free up time for yourself and your team so that you have more time to focus on the activities that will actually grow your sales.
Shopify rating: 4.3 ⭐(129 reviews)
Chat apps and Facebook Messenger have become increasingly popular in recent times. Many retailers are now using Messenger to communicate directly with customers and promote products. Most of the time this is completely automated — but done tastefully.
How do you set this up? With ShopMessage, the Messenger marketing automation app for Shopify stores.
ShopMessage automatically creates conversations with customers based on their interactions with your store. If they add a product to the cart and then abandon it, they'll get a Messenger chat asking them to complete the purchase. Plus, they have analytics, so you can see how much revenue your campaigns generated!
Learn more about how ShopMessage integrates with Gorgias.
Facebook Messenger is an excellent marketing tool for ecommerce brands to utilize. With ShopMessage, you can grow and segment your Facebook Messenger list, then create targeted and automated Facebook Messenger campaigns promoting your store's products.
Shopify rating: 4.8 ⭐(4,844 reviews)
We've talked about creating personalized promotions and providing excellent support to turn customers into loyal fans. Loyalty is powerful because it means recurring sales rather than deal-hunters who only come by when you have a promotion.
There's another way to increase loyalty: creating rewards programs. With Smile.io, you can make your customers feel special by rewarding them for shopping at your store. You can assign points to each customer's action on your store. The more points a customer accumulates, the higher up they go in the VIP list. You can then offer incentives such as discounts and free products to VIP customers. Finally, you can reward them for referring new customers to you, generating even more revenue.
Learn more about how Smile.io integrates with Gorgias.
Retaining more loyal customers is almost always a more viable strategy for ecommerce stores than constantly trying to attract new customers — especially today when customer acquisition costs are higher than ever before.
With Smile.io, you can create and manage loyalty programs that reward your customers for sticking with your brand and making repeat purchases. You can even reward and encourage other sales-boosting activities, such as customer reviews and referrals.
Shopify rating: 4.1 ⭐(74 reviews)
Veeqo is an all-in-one ecommerce software that allows retailers to manage and automate their entire business. The software’s multichannel inventory management allows retailers to sync inventory across multiple stores, channels, ecommerce marketplaces, and warehouses in real time, ensuring that you never oversell again.
You can view, edit and print orders taking complete control with Veeqo’s order management software. With multichannel shipping and fulfillment capabilities, you can ship customer orders from any sales channel directly in Veeqo with just a few clicks. The software also includes a comprehensive warehouse management system with its own hardware.
For one, Veeqo eliminates time-consuming inventory and warehouse management tasks so that you and your team have more time to focus on the activities that will grow sales.
But just as importantly, Veeqo also helps boost customer satisfaction by ensuring a smooth order fulfillment process and preventing oversells. This improves customer loyalty and encourages more repeat purchases.
Shopify rating: 4.7 ⭐(2,416 reviews
Ninety percent of customers will read online reviews before making a purchase. Put another way, a product in your competitor's store with a positive review will sell more than the same one on yours without a review.
Yotpo is a great app for collecting and managing product reviews for your Shopify store. When someone buys from you, Yotpo waits till they've received the product before sending them an email politely requesting a review. They make it extremely easy for customers to write a review, and that review automatically gets posted on the corresponding product page.
You can also add a Q&A widget to your site, like the one on Amazon. In general, this type of user-generated content not only increases conversions but also contributes to your search engine optimization (SEO).
Learn more about how Yotpo integrates with Gorgias.
We've already discussed the value of the social proof that user-generated content and customer reviews can provide to improve customer confidence and boost sales. With Yotpo, you can collect a lot more of this invaluable content and display it strategically for maximum effect.
Shopify rating: 4.8 ⭐(5,508 reviews)
Everyone reads their text messages, making SMS marketing a lucrative marketing avenue for ecommerce brands to explore. With Recart, you can create, launch, and manage automated SMS marketing campaigns. These campaigns can be pre-scheduled or triggered via a wide variety of user actions.
Along with enabling you to create automated SMS marketing campaigns, Recart also helps you build your SMS list with customizable opt-in popups.
Learn more about how Recart integrates with Gorgias.
SMS marketing can be a lucrative strategy for ecommerce brands, and Recart provides everything you need to execute an effective SMS marketing strategy. By providing tools for building your SMS subscriber list and the ability to create a wide range of automated SMS marketing campaigns, Recart makes it easy to capitalize on this effective marketing approach.
Shopify rating: 4.5 ⭐(422 reviews
LoyaltyLion is a program similar to Smile.io that allows you to create and manage loyalty programs to reward repeat customers with high lifetime value. With LoyaltyLion, your customers can earn points from on-site activities such as purchases, reviews, affiliate marketing, and referrals. These points can be vouchers, gift cards, free products, or other custom rewards you create.
Best of all, LoyaltyLion offers a built-in dashboard to track loyalty program analytics, such as customer retention and referrals in real time.
Learn more about how LoyaltyLion integrates with Gorgias.
Like Smile.io, LoyaltyLion boosts sales by rewarding customers for repeat purchases and other desirable, sales-boosting actions such as reviews and referrals.
Along with directly encouraging these desirable actions with reward points, LoyaltyLion helps you create a unique and enjoyable experience for your customers that will keep them coming back to your brand.
Shopify rating: 4.9 ⭐(20 reviews)
Attentive is an app designed to help store owners grow their email and SMS subscriber lists and then send those subscribers personalized, interactive messages. With Attentive, you can create automated abandoned cart reminders, personalized product recommendations, and a wide range of other messages generated using Shopify data.
Along with helping you create automated, personalized SMS and email campaigns, Attentive also helps you grow these lists with tools for creating high-performing ADA-compliant sign-up units.
Learn more about how Attentive integrates with Gorgias.
SMS and email marketing are both all the more effective when they are personalized and targeted. By leveraging your existing Shopify data, Attentive can automatically launch targeted SMS and email campaigns that will boost your store's sales. Attentive also helps you grow your email and SMS lists so that you can make the most of these effective marketing channels.
Shopify rating: 5 ⭐(9 reviews)
Loyoly is a loyalty and referral platform 100% designed for ecommerce. Like Smile.io or LoyaltyLion, you can easily create and integrate points-based and tiered loyalty programs into your online store.
But Loyoly differentiates itself by offering the widest variety of point-earning actions to engage your customers.
Over 30 actions are available and can be added to your loyalty program in no time. As well as rewarding purchases and referrals, you can incentivize your customers to leave reviews, submit photo and video UGC, follow you on social media, like, comment or share your posts, and much more.
All loyalty points can then be easily redeemed for pre-built or custom rewards.
With its gamified customer experience and customizable interface, Loyoly boosts sales by encouraging new customers to make repeat purchases, increase their average basket and thus their lifetime value.
But Loyoly doesn't just build loyalty with your existing customers. It also helps you turn them into true brand ambassadors, who increase your message's reach and ultimately attract new customers.
Each of the apps we've covered in this article are powerful sales-boosting apps in their own right. But when you integrate your Shopify apps with one another, you unlock even more powerful new features and capabilities.
At Gorgias, we have designed our industry-leading customer support platform with plugins and integrations for many of the top ecommerce apps on the market today, enabling our customers to create a fully integrated tech stack with unmatched capabilities.
Ready to start leveraging Gorgias' wide range of sales-boosting Shopify integrations? Sign up today!

TL;DR:
Pre-sales is the work that happens before a customer commits. For customer experience teams, it shows up as pre-purchase questions, live chat conversations, and “will this work for me?” moments.
In many ecommerce journeys, support teams handle these conversations, not sales. Customers ask about product fit, shipping timelines, returns, and edge cases before buying. How support answers those questions determines whether customers buy with confidence or regret it later.
This guide looks at pre-sales through a customer support lens. It explains how support teams shape the pre-sales experience and why improving it leads to better outcomes for customers and support teams alike.
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Pre-sales refers to everything that happens before a customer hits “buy.” In traditional B2B sales, that’s lead qualification, discovery calls, and demos, usually handled by dedicated pre-sales teams or sales agents.
In ecommerce, pre-sales is the questions that pop up before checkout:
These questions are then answered by your support team and any automation or AI tool you may have.
When you look more closely, pre-sales support helps customers feel more confident about purchasing your product. Your team answers questions, clears up confusion, and sets realistic expectations.
The goal is to reduce uncertainty so customers know exactly what they're getting. Pre-sales shapes how customers see your brand from the very first interaction.
Pre-sales and sales are often grouped together, but they serve different purposes. Pre-sales focuses on solution fit. Sales focuses on closing the deal.
In ecommerce, support teams handle most pre-sales questions. Customers need help understanding whether a product is right for them, and those questions rarely reach a sales team.
Here's how the roles break down.
Pre-sales |
Sales |
|---|---|
Focuses on solution fit and technical validation |
Focuses on relationship building and closing |
Answers “Will this work for my needs?” |
Answers “Are we moving forward?” |
Handles discovery, demos, and proof of concept |
Handles pricing, contracts, and negotiation |
Works closely with product and engineering |
Works closely with customer success and finance |
Pre-sales shapes the support experience before a ticket ever gets created. When customers get clear answers before they buy, your team deals with fewer issues after.
For support and CX teams, pre-sales is the part of the funnel that prevents confusion, sets expectations, and removes hurdles down the road.
Strong pre-sales support helps filter intent early. When customers ask questions before buying, they're looking for reassurance about fit, policies, or specific scenarios. Answer clearly, and they'll self-qualify. They either buy with confidence or realize it's not the right fit before turning into a high-effort ticket later.
Most post-purchase frustration comes from mismatched expectations. Pre-sales support helps by clarifying what the product does, what it doesn't, and what customers should actually expect. You end up with fewer “I didn't realize” tickets and less time spent in damage control mode.
Pre-sales is often the first real conversation a customer has with your brand. When you handle these moments well, customers feel helped instead of sold to. That trust sticks around through onboarding, day-to-day support, and beyond.
Clear pre-sales conversations help customers make the right call the first time. That means fewer unnecessary returns, repeat tickets, and escalations. Your team spends less time undoing decisions and more time actually helping people.
For support teams, the pre-sales process is the set of conversations that happen before a customer buys. It isn’t formal. It doesn’t live in a CRM stage. It happens in chat, email, and social messages when customers are deciding whether to move forward.
Pre-sales support is about helping customers make the right decision, even when that decision is not to buy.
Pre-sales support starts by understanding what the customer is looking for, the problems they’re trying to solve, and what prompted them to reach out. Customers may ask about a specific feature, but what they really want is reassurance that the product fits their needs.
When support takes the time to understand those needs, answers become more relevant and less transactional.
Good pre-sales support explains what a product doesn’t do as clearly as what it does. This isn’t selling yourself short or pushing customers away. It’s being honest and giving customers the information they need to evaluate their needs against your product.
When customers understand the limits upfront, they’re less likely to feel misled later.
Many pre-purchase questions are really about risk. Customers ask about shipping, returns, warranties, and support coverage to understand what happens if things don’t go as planned. Clear answers here reduce anxiety and prevent escalations after purchase.
If the shoe doesn’t fit, the shoe doesn’t fit. Pre-sales support shouldn’t force customers who aren’t ready to buy into buying now. That approach leaves a bad taste and often turns into regret after purchase.
When support focuses only on the sale instead of the person, customers notice. They move on to competitors who take the time to understand their situation and respect their timing.
Pre-sales questions reveal gaps in product messaging, help center content, and internal documentation. When support teams feed these insights back, they reduce repeat questions and improve the experience for future customers.
Pre-sales support questions are usually practical, not persuasive. Customers aren’t asking to be sold to. They’re trying to decide if buying is a good idea.
These are the most common types of pre-sales questions support teams handle.
Product fit and use:
Policies and risk:
Shipping and timing:
Pricing and value:
Readiness and decision-making:
Handle these questions well, and they’ll help customers move forward. Handle them poorly, and they turn into refunds and frustration.
Improving pre-sales support isn’t about training agents to sell. It’s about giving them the tools, context, and permission to be honest and helpful before a customer buys.
When support teams do this well, customers make better decisions and support work gets easier later.
Pre-sales support should be grounded in what customers actually ask, not what your team assumes they need. Review pre-purchase conversations regularly and look out for patterns. These questions should shape help center articles, macros, and, if you have one, guidance instructions for your AI tool.
If customers keep asking the same thing, the answer shouldn’t live only in chat.
Fast responses matter, but clear ones matter more. Pre-sales support should focus on explaining fit, limits, and expectations in plain language. Avoid overloading customers with features. Focus on whether the product solves their problem. Clarity reduces hesitation and prevents disappointment after purchase.
Pre-sales questions are often some of the best candidates for AI because they result in the same answer, no matter who’s asking. Shipping timelines, return policies, pricing, and compatibility checks don’t always require a human response. Scaling brands use automation and AI to answer these questions instantly.
AI tools like Gorgias AI Agent can handle common pre-sales questions using your Help Center, policies, and product data. This gives customers immediate answers while freeing your team to focus on more challenging conversations that require nuanced problem-solving.
Customers often move between browsing, chat, email, and social. Support teams need visibility into past conversations and behavior so customers don’t have to repeat themselves. Context leads to better answers and smoother experiences.
This is especially important in pre-sales, where customers are still deciding whether to trust you.
Read more: How to implement an omnichannel customer service strategy
Pre-sales conversations reveal gaps in your product descriptions, policies, and documentation. Feeding this back to product, marketing, and content teams improves the experience for everyone. Pre-sales support gets better when it’s treated as a feedback loop, not a one-off interaction.
Pre-sales support works best when tools help teams answer questions quickly, consistently, and with context. The goal isn’t more software. It’s fewer gaps between what customers ask and how easily support can respond.
A customer support platform, often referred to as a helpdesk, is the foundation of pre-sales support. Modern helpdesks do more than manage tickets. They centralize conversations across chat, email, social, and messaging apps, while keeping customer context intact.
This matters in pre-sales because customers often ask questions across multiple channels before buying. A single platform helps teams respond consistently and spot patterns in pre-purchase questions. Many growing brands now look for helpdesks with built-in AI and automation.
Read more: Best AI helpdesk tools: 10 platforms compared
Many pre-sales questions don’t need a live response if the information is easy to find. A searchable help center allows customers to self-serve answers around product details, policies, and common concerns before reaching out.
For support teams, this reduces repetitive tickets and creates a shared source of truth for agents and AI. Improving visibility and engagement is key.
This guide breaks down how brands are boosting Help Center usage.
Pre-sales questions are often time-sensitive. Customers want answers before they lose momentum. AI and automation help support teams respond immediately to common questions around shipping, returns, pricing, and product basics.
Tools like AI Agent use your existing help center, policies, and product data to answer these questions accurately. This lets teams scale pre-sales support while keeping responses consistent and on-brand.
Pre-sales support improves when agents can see what customers have viewed, asked, or interacted with before reaching out. Browsing behavior, previous conversations, and account details help agents give better answers faster.
Context matters most before purchase, when customers are still deciding whether to trust you.
Support teams need clear internal guidance for pre-sales scenarios. This includes what can be promised, what should be escalated, and how to explain limitations consistently.
Strong internal documentation keeps pre-sales support aligned and prevents mixed messages across channels.
Pre-sales questions don't disappear after someone buys. How your team handles them sets the tone for onboarding, ongoing support, and whether customers stick around.
Gorgias helps support teams manage pre-sales and post-purchase conversations in one place. With shared customer context, a searchable help center, and AI-powered answers through AI Agent, your team can respond faster, stay consistent, and help customers buy with confidence.
Want to improve your pre-sales support without turning your agents into salespeople? Book a demo now.
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