

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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Have you ever wondered how other leading ecommerce stores manage customer support, especially when they are using Gorgias? We love identifying these trends and wanted to see what integrations have been the most useful in our customers' ecommerce tech stacks so far.
In order to help you bring all your customer data in one place and offer truly exceptional, personalized support, here are the top 10 integrations being used by Gorgias customers:
If you've been worried that email is becoming obsolete in the age of chat boxes and SMS support, don't be. Email is the leading support channel on Gorgias, used by 67% of customers.
This make sense. While faster, more instantaneous methods of communications are becoming common, email is still the primary channel to answer complicated support questions and send transactional messages like shipping updates, return logistics, and order/cancellation confirmations.
Of email integrations, Gmail is the leading provider with 59% of Gorgias customers having it active.
To learn more about our Gmail integration, click here.
Chat support is the second most common channel we see our merchants using, in order to offer real-time communication in addition to traditional emails or tickets. And thanks to our native chat integrations, it's easier than ever to launch a chat widget on your website.
57% of Gorgias merchants use our native chat integrations to offer real-time support.

This allows your shoppers to talk to an agent faster, but also presents a great opportunity to implement self-service options so they can help themselves. (Our Self-Service Chat Portal can help with that!)
Managing inquiries on social media and gaining insights into the conversations happening in those communities is te next priority for our merchants.
Over 50% of Gorgias brands are integrated with Facebook and/or Instagram.
Our Facebook integrations (which also includes Instagram) allows you to manage messages, comments, ad comments, and mentions as tickets in Gorgias. This gives your agents visibility into every conversation no matter where it happens, and empowers them to reply directly to shoppers without having to log into separate platforms or coordinate with your brand's social media team.
"The Gorgias-Facebook-Shopify integration is amazing. We've stopped hunting and matching Facebook users to customer accounts on Shopify. The information we need is surfaced so we can respond better and faster. Gorgias allows us to operate both ecommerce and social commerce business seamlessly." - Guita Gopalan, Chief Revenue Officer at Ellana
Nervous about the quantity of tickets that would be created from integrating social channels with Gorgias? Don't be. You can use Rules to filter out comments your team doesn't need to worry about (like comments that only consist of emojis), or even auto-assign tickets to specify agents/teams so no one has to triage the requests.
Text message marketing has become an incredible revenue generator for ecommerce brands, but it also opens another new communication channel with your customers: SMS.
In order to make the most of SMS as a marketing tool, you also need to be ready to support it when customers reply back with questions. That's where Gorgias comes in; we integrate with SMS apps to help you connect your agents with shoppers sooner and collect all customer conversations in one place.
Over 23% of Gorgias customers are integrated with an SMS tool.
The top SMS apps connected to Gorgias are:
"Working with Postscript and Gorgias gave us the leverage to keep customers close to deliver the best possible customer experience. It is super helpful to have a full view of the customer, all in one-spot." -Eli Weiss, Director of CX at OLIPOP
The next app on our list will help you collaborate with your marketing team to create a best-in-class shopper experience, whether they are interacting with the support team or receiving the latest promotion.
Klaviyo is an email and SMS marketing app for businesses that sell online. Our integration connects the two platforms, allowing you to use the data to create better campaigns.

17% of Gorgias merchants are integrated with Klaviyo.
With this integration, you can push Gorgias events into Klaviyo for advances and customer-centric email segmenting.
For example, here are some of the ways we've seen customers use the two tools together:
You can learn more about our Klaviyo integration or activate it here.
The most common integration will help with subscription management, which is probably no surprise: Even with a great payment platform, subscription questions and transactions tend to result in a lot of support requests.
Recharge us a subscription and recurring payment platform for ecommerce sites, and helps you turn transactions into relationships.
15% of Gorgias merchants are integrated with Recharge.
Connect Gorgias and ReCharge for a simple way to manage customer subscriptions and customer service from one convenient location.
When you integrate Gorgias and Recharge, you can:
Click here to learn more about our Recharge integration.
It's clear that digital support is the first priority for most of our merchants, as seen by email, chat, and social media being the top three integrations on our list.
Sometimes it's nice to have a real conversation with your customers, however, which is why phone integrations are next.

12% of merchants offer phone support.
Many use our Aircall integration, which is great if you need the advanced feature a dedicated tool like Aircall provides. If you're just adding phones for the first time, we released a native phone integration this year that's helping merchants begin to offer voice support.
Beyond answering customer questions, your support team may want to engage with reviews from shoppers in order to address issues, win back unhappy customers, and interact with your biggest fans!
Yotpo, a platform for ecommerce marketing and reviews, is great for this.
Over 8% of Gorgias merchants have activated our Yotpo integration.
The integration allows you to:
Click here to learn more about our Yotpo integration and activate it.
No one knows your shoppers quite like your support team, which makes an integration with a loyalty app a natural fit! Smile.io is a favorite of Gorgias merchants, which helps you manage a reward program and build strong relationships with your newest and most loyal customers.
6% of Gorgias merchants integrate with Smile.io.
With this integration, you'll be able to see customer loyalty information right next to tickets in Gorgias, so every agent knows when they are talking to a new customer or one of your VIPs! You can also use this information to help triage tickets or separate ticket views by loyalty status (which is great for managing different levels of support SLAs).

To learn more about our integration with Smile.io and activate it for your account, click here.
If your shop sells on public marketplaces beyond your own Shopify store, the final app on our list is a must. ChannelReply helps you manage messages from Amazon, eBay, and Walmart.
With our integration, you can then manage all those messages right from your helpdesk, eliminating the need for your agents to open different browser tabs for each platform.
Over 5% of Gorgias merchants use the ChannelReply integrations.
To learn more about ChannelReply and activate the integration for your account, click here.
And there you have it: The top 10 integrations with Gorgias in 2021! We hope this helps inspire you how you can use your helpdesk to offer exceptional, conceptual support and how to streamline the tools your store uses everyday to grow your business.
To get more ecommerce tool suggestions, check out our list of 150+ great tools. And to view all integrations with our platform, visit the Gorgias App Store.

Gorgias connects to over 65 leading ecommerce applications, giving you the power to centralize customer data in your helpdesk, perform support actions from a single place, and streamline your store’s toolkit.
This month, we launched 12 new integrations:
Read on to learn how you can use these tools to help manage your store, and visit the Gorgias App Store to activate them today!
SMS Live is an SMS texting app for Shopify and Shopify Plus. When you add this integration, you’ll see customer information from SMS Live in the Gorgias sidebar, so your agents don’t have to switch between the two applications. You’ll also be able to respond to SMS messages within the Gorgias helpdesk or switch those conversations to a different channel, such as email or phone.

Checkout Champ simplifies the checkout process and makes it easy to charge for subscription services or one-click upsells. With the Gorgias integration, you can manage all of your customer interactions to include refunds, fulfillment tracking, purchase alterations, and all messaging and tickets.

Konnektive is a cloud-based CRM and order management solution that helps optimize, centralize, and automate ecommerce business processes. With this integration, you can display order information right next to tickets in Gorgias and update customer information between the two platforms. It automatically comes with 10 pre-built Macros, to help you get started right away!

TXTFi allows brands to leverage purchasing through SMS and ensures side-by-side customer support to communicate with customers in real time. With this integration, you can manage SMS conversations from TXTFi as tickets in Gorgias in order to quickly connect your shoppers with a live agent.

Shopney is a mobile app builder for Shopify and Shopify Plus that lets you build an app for your store in just one day. With this integration, the conversations that happen through Shopney’s in-app live chat can be managed in the Gorgias helpdesk for a streamlined experience for your agents.

ReturnLogic helps D2C brands give their customers an easy returns process while automating workflows for their customer service and warehouse teams. With the Gorgias integration, you can embed the Gorgias Chat Box right on the ReturnLogic portal, giving shoppers another opportunity to make their return, exchange, or warranty process as smooth as possible. You can also manage these chat conversations in Gorgias and populate ReturnLogic data into Gorgias tickets.

Stateset is your single source of truth for managing your online business and automating your commerce operations. The Stateset AI Responder app uses state-of-the-art artificial intelligence and robotic process automation to quickly and accurately build data-driven responses ready for your customer service team to approve. When you connect the Gorgias integration, you can start generating intelligent and dynamic responses directly from Gorgias or from within Shopify.

See Instagram insights when responding to tickets, track Instagram mentions and engagement for your brand, and automate valuable influencer workflows all in Gorgias.
With the Gorgias and Gatsby integration, you can now identify when influential customers are reaching out for support and take that into account when prioritizing tickets, asking them to share positive support experiences and more.

Trustpilot Reviews is a customer review platform. With the Gorgias integration, you can streamline review responses with machine learning and AI. Trustpilot Review data is displayed in the Gorgias Customer Sidebar, ready to be leveraged by agents to reward happy customers and help recover customers at risk of churn.

ShipBob is an ecommerce fulfillment solution for online brands. With the Gorgias integration, you can sync customer and order information associated with a specific ShipBob account into the corresponding Gorgias account. You can also display data from ShipBob in the Customer Sidebar, and use that data in Gorgias Macros to automate responses to common claims.

AfterShip is an automated shipment tracking platform for e-commerce businesses. With the Gorgias integration, you can sync and display all customer shipment tracking data in the Customer Sidebar, allowing your agents to quickly answer questions without switching applications.

To add these integrations and discover more, go to the Gorgias App Store.

Instagram is really the perfect social channel for Ecommerce brands. You can show off your products, share user-generated content, and engage with your community to build brand loyalty.
All that engagement is great, except it adds a task to your plate that quickly multiplies as your brand grows: You have to interact back. Or at least you should, if you want to capitalize on all that engagement!
Sometimes your marketing team or social media manager will handle Instagram replies, but sooner or later you’ll start to get the “Where is my order?” (or “WISMO”) question from shoppers, regardless of the content being shared. This can result in an inefficient workflow between social and support teams to communicate the question, track down an order status, and get a reply back to the customer.
That’s why Gorgias integrates directly with Instagram (and other social media platforms), to streamline the management and interaction with top-level comments, ad comments, private messages, and replies. Instead of going back and forth between your Ecommerce platform, the social team, and the support team, you can empower your agents to reply quickly and accurately to any question that comes in, thanks to over 50+ integrations with the leading Ecommerce apps. (So all the context they need will be in one single browser tab!)
You could even have your marketing team or social media manager help create Macros, so your support agents can use templated (and on brand) messages that speed up their replies. Getting everything centralized in a single place is the first step to providing excellent social support for your store. The next is to start automating replies to common engagements, so you can free up your agents to focus on more important conversations instead of saying “Thanks for the mention!” for the hundredth time.
To help your store start managing Instagram support more efficiently, I’ve collected a list of Rules that Gorgias customers are using to engage with their shoppers, resolve questions faster, and keep their agents focused on the most important conversations.
Giveaway posts are great for brand awareness, but can also result in a large increase in tickets in your help desk. To stop this from ever becoming a problem, you can set up a Rule to auto-close tickets generated from giveaway posts, based on the message content.

In this example, we’re auto-closing tickets without the words “who,” “what,” “when,” “where,” “why,” and “how,” in order to avoid accidentally closing an actual question that your team might want to respond to. You could also customize this to close tickets that include a specific word or phrase, based on the criteria of the giveaway. I recommend working closely with your social media manager whenever a new promotion starts, to make sure your helpdesk is set up to triage tickets accordingly.
If you want to see Instagram engagements in a contact’s message history, but not necessarily respond to them from Gorgias yet, you can auto-close any ticket generated from Instagram, that way it doesn’t fill up the open queue.

By doing this, your agents will have the full cross-channel message history when interacting with a shopper, so they can customize the conversation and know exactly what they’ve asked in the past.
Tagging tickets in Gorgias is a great way to measure channel statistics and create customized Views. While your agents will always have the option to manually add tags, you can create a Rule to do the tagging automatically, that way it’s one less step in their workflow.

Then when you go to Statistics > Tags, you’ll be able to see how many tickets are generated from Instagram during a given period, and what percentage that is of all the tickets you receive.
Pro-tip: If you haven’t started managing Instagram tickets in Gorgias yet because you’re not sure what exactly the ticket volume would be, you can Auto-tag and Auto-close tickets in order to see the stats without conversations counting toward your plan’s ticket count yet.
Prioritize the messages and comments from those most likely to purchase. By detecting message sentiment and filtering by common phrases, you can automatically tag tickets with a high purchase intent, allowing your agents to answer questions quickly or send along a discount code to speed up the purchase.

Once you’ve set up the Rule, you can create a View to filter tickets that only contain this tag, that way your agents can easily see right in the left-hand sidebar whenever there’s a ticket from Instagram from a likely lead!

If you work with influencers, it’s critical to reply to them right away to maximize the impact of their community. To make sure your team never misses an opportunity, you can auto-tag tickets created from the partners you’re working with based on their email address.

Once the Rule is auto-tagging these tickets, you can also create a view to segment these messages from the others. Depending on how many partners and influencers your brand manages at a time, it may be helpful to set up one View per influencer (in which case you’d want to use separate tags), or group them all together in an “Influencers” section.
Whenever you reply to a ticket in Gorgias, you’ll see a small icon next to the customer’s name that signals what channel you’re replying on. If you want some extra assurance that your reps are only replying with personal details in private channels however (such as Instagram messages) you can automatically add tags to designate “public” vs “private,” so everyone can see right at the top of the ticket which type of communication it is.

Prioritize interactions that are asking your brand something, instead of just commenting with emojis. If your brand receives a lot of engagement, this can help you filter out what needs to be addressed and what can likely just be closed out (or handled by the social team).

If your support team is only interested in responding to the Instagram tickets that specifically mention customer service, you can auto-close everything else (and assume the brand team will take care of it). To do this, create a rule that closes tickets that do not include phrases like “order” “status” “support” or “customer service.”

Escalate the tickets that have negative intent to get them a response faster. You can add keywords (or emojis) and use our sentiment detection to auto-tag negative comments, so your agents see right away what kind of ticket they’re opening.

If you have a specific person who handles social media, whether that’s an agent or the social media manager, you can automatically assign tickets created via that channel to them, so those tickets never get routed to the rest of your team.

I hope these 10 Rules help you engage with your shoppers, resolve questions faster, and keep your agents focused on the most important conversations. If you haven’t connected your Gorgias account to Instagram yet, follow this guide to get started.
Alternatively, keep reading about social media for customer service, or check out our list of the best social media integrations for your Shopify store.

If your store leverages Instagram to drive sales, you know it’s important to engage with every member of your community whether they’re commenting on your posts, engaging with your Story, or sending you a message.
Over 4,000 teams on Gorgias have been using our Instagram integration to respond to (or automate responses to) mentions, comments, and ad comments. Earlier this summer, some customers were able to also start receiving and responding to Instagram messages (but it was limited to accounts with between 1,000-100,000 followers).
Today, we’re excited to share that there’s no longer a follower requirement to use Instagram messaging!
Every Gorgias customer (with a non-legacy plan) can manage Instagram messages (including Story mentions) directly from your helpdesk, allowing you to engage with your shoppers quickly and efficiently so you never miss a conversation.
Plus you’ll also be able to reply to comments with a message, giving your team the option to turn a public conversation into a 1-1 chat.

Customers who were able to start using this feature early have already replied to over 300,000 messages and Story mentions. In fact, about 2% of tickets in Gorgias are Instagram messages!
It’s clear our customers love using Instagram to engage with their communities and drive sales, which is why we’re so excited to open this channel up for all of our merchants regardless of their follower count.
Related: Our list of the best social media apps for Shopify.
To get started, you’ll need to make sure you have the "Allow Access to Messages" setting active in Instagram.
You can do this In Instagram Business Messenger by going to Settings → Privacy → Messages and setting the toggle to active.
Once that’s done, go to the Integrations tab in your Gorgias helpdesk and select “Facebook, Messenger & Instagram.”

Click the green “Reconnect” button to refresh your settings, and then you’ll be able to enable “Instagram Direct Messages” in the checkboxes.

This will connect Messages and Story mentions to Gorgias, allowing you to reply directly from the helpdesk and see previous conversation history (so your agents have all the information they need right in one place).
The following video will show you how to get started, along with some common troubleshooting tips.
If you’re managing a lot of customer support conversations on Instagram, it may be helpful to set up views for each type of interaction. For example, you could have a view for Instagram comments, another for Instagram Messages, and a third for Instagram ad comments.

You can also use Rules and Macros in Gorgias to reply even faster (or automate conversations entirely!) in order to free up your agents to focus on more important conversations.
Here are a few ideas to get you started!
1. Create a Macro sending a message to say “Thanks for the mention!”
If you have customers that love to tag your brand or products in their own posts, an easy way to continue building brand loyalty is to send a quick “thank you.” To save your agents time, you can create a Macro they can re-use anytime you get a Message that you’ve been mentioned in someone’s story or post.

2. Adding tags to track Instagram Story mentions
If you want to track how often your brand is mentioned in Instagram Stories, you can tag tickets that come in from the Messages channel with “Mentioned you” in the message body.
By creating a Rule to do this, you can automate this process so it doesn’t add any extra time or steps into your agents workflow, but gives you powerful insights.

3. Creating a Rule to auto-reply to Instagram messages outside of business hours
If you don’t want to reply to messages 24/7, it may be helpful to create an auto-response to set some expectations outside of your business hours.
You can easily do this with a Rule, and even encourage your followers to go somewhere else in the meantime, such as your website, a specific landing page, or even a partner account!

Hopefully this gives you some inspiration on how you can start using Gorgias to engage with your Instagram community without increasing the workload on your support agents. And if you're interested in messaging customers directly, check out our social media and SMS features. With social media for customer service, you can interact with customers on platforms like Instagram or Facebook. And with SMS for customer service, you can enable texting for your most on-the-go customers.
Related: Lean how Gorgias customer Berkey Filters launched SMS and drove incredible customer adoption to this new, faster channel.
To start simplifying management of your messages, comments, and mentions, get started with Gorgias and add the Instagram integration today!

When you use Gorgias, we know that you’re putting your trust in us. That’s why we hold our commitment to your security as our highest priority and safeguard your data with full transparency. Our security policy contains penetration testing, incident response plan, data lifecycle, comprehensive system status live report, and more.
We're thrilled to share that Gorgias is Service Organization Control (SOC) 2 compliant for Type 2. This achievement follows our numerous investments in platform security over the years as part of our goals to secure customer data.
An independent auditor conducted a thorough audit of our servers, systems, and products over six months. They verified that our information security practices, policies, procedures, and operations meet the thorough SOC 2 standards for security.
2022 update: We're happy to share that we renewed our SOC 2 Type 2 certification to continue protecting our customer data.
This industry-wide recognition serves as our reassurance that your data is managed in a controlled and audited environment.
Developed by the American Institute of CPAs (AICPA), SOC 2 defines criteria for evaluating how well a company manages customer data and ensuring a set of security controls are in place. A SOC 2 report is unique to each organization because it’s in line with specific business practices.

There are two types of SOC 2 reports: Type I and Type II. Type I checks if a system can handle issues like data breaches. Meanwhile, Type II examines how the system works and how effective it is to protect data against security threats.
Our completion of the SOC 2 Type II audit is our testament to the fact that we always prioritize your data security and privacy. We appreciate your trust in us and strive to strengthen this trust in the long term.
You can be sure that:
We hope our successful SOC 2 Type 2 helps you rest easy knowing that your data in Gorgias is secure. But this update is only the latest milestone in delivering our commitment. We’re continuing to improve our security control and data privacy practices for all merchants. To learn more about our security policies, visit our security page or contact us at support@gorgias.com.

With visibility into product reviews right in the Yotpo widget in Gorgias, your support agents will know right away if they're talking to someone who didn't love their last product, or someone who is a big fan of your brand. This knowledge will help you customize the conversation for the best experience possible.

"At OLIPOP, we’re always looking to have a holistic view of the customer to be able to offer the best possible experience. Having the ability to see their most recent reviews within the Gorgias platform is a total game-changer. " - OLIPOP, Director of Customer Experience, Eli Weiss

You can use Gorgias macros to quickly respond to customers that leave 5-star reviews to build brand loyalty. You can also create macros for customers who leave negative reviews to ensure their concerns are properly addressed, and send them a discount code to help rebuild trust!
By looking at the shopper's review history, your support agents can also quickly shift from just offering customer service to acting as members of the sales team. They can recommend products that are either similar to something the customer previously loved, or different than something they had a bad experience with.


"Gorgias clearly understands the needs of customer service agents, and with this new feature is working towards making all the day-to-day tools accessible from one tab, making work even more agile and with less distractions. We're particularly excited about the ability to understand customer sentiment from the get go, and how we can better approach our users based on the feelings they have shared about their past TUSHY purchases. If we see they are a super fan, we can go heavy on the butt puns, but if they've had a less than stellar experience we will aim to make up for it in our subsequent conversations, and even address things they don't directly mention! We're excited to see how this feature will help us deepen our genuine human connections. " - TUSHY, Director of Customer Experience, Ren Fuller-Wasserman


So, how can you write the perfect answer to social media comments?
An answer that addresses the customer’s issue while upholding your brand?
Ecommerce companies are tasked with maintaining this balance every day. (Particularly companies that spend a lot on social media ads.) These brands are inundated with comments on their promoted content from happy customers, unhappy customers, prospective customers, and social media trolls.
In this post, we explore the depths of using social media for customer service.
Read on for tips and plenty of examples.
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If you spend a lot of money on Facebook and Instagram ads, you’ll undoubtedly get dozens of comments per day. You can’t afford to ignore them.
Responding to social media comments on your ecommerce posts and ads is critical.
74% of consumers rely on social media to help them make purchasing decisions. 71% are more likely to make a purchase based on a social media referral.
While the design and copy of your posts and ads are important, the comment section has equal swaying power.
Potential customers scope out the comments in an ad from an ecommerce company. They’ll read the positive comments, the negative comments, and how your company replies to both.
An amazing customer endorsement can fall flat if your brand didn’t comment with a grateful reply and simply ignored your raving fan.
Meanwhile, a customer complaint can have a less disastrous impact on a shopper’s purchasing decision if you reply and seek resolution with the customer.
Social commerce is a booming trend. TikTok is building out Shopify shopping capabilities in the app. Meanwhile, Facebook is also adding a Shopify pay button, and the social media platform already allows small ecommerce businesses to run a shop directly from their business page.
These social commerce developments are designed to keep consumers in the social media app, to the benefit of both parties (the social platform and the ecommerce business).
Consumers can be converted to paying customers without having to leave the app. This reduces the required steps to making a purchase, and increases conversions.
By responding to social media comments like a pro, your ecommerce company can also capture this social commerce trend. You’ll reduce the need for customers to go and read reviews elsewhere. They can get answers to their questions right in the social media channel. They can read the answers that your team has already written to other commenters.
By reducing the review-hunting step, you can increase conversions. Customers that have read comment threads can feel comfortable making a purchase immediately.
Related: Our list of the best social media integrations for Shopify.
31% of consumers say that they use social media like Twitter and Instagram primarily to browse products. Consumers are accustomed to being shown products through organic posts and paid media.
They feel comfortable giving their opinion and speaking directly with a brand.
The top ways that customers engage with posts and ads are product endorsements, negative reviews, customer support complaints, and product questions.
Here’s an example of a customer commenting on a social media ad with a favorable opinion of the product:

These sorts of comments can have a huge impact on your conversions. While it’s hard to measure the exact impact, you might find that ads with a lot of positive comments perform better than new ads or ads with fewer comments.
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Today, social media is one of the most important customer service channels.
But some ecommerce companies are hesitant to spend too much time providing social media customer service. The management of the company might feel frustrated by the expectation to respond there, rather than through their customer support software.
If someone at your company is advocating against allocating support time to social media comments, ask them to consider customers’ needs.
Ultimately, the most successful ecommerce businesses get as close to their customers as possible. They listen to feedback and open up lines of communication on customers’ terms.
Customers leave important comments on your social media posts and ads because:
If after empathizing with customers, someone at your company still doesn’t see the need to invest in customer service on social media channels, the following statistic might help...
A whopping 83% of global consumers expect a response time of 24 hours or sooner.
That stat alone could be the ammunition you need to get your company on board with allocating time towards social media responses.
Related: Our guide to offering great customer service via Facebook Messenger.
What’s the strategy behind social media customer service?
It comes down to two key things:
Let’s take a look at how to excel at both:
The comments section of your social media posts and ads offers an amazing opportunity to strengthen customer retention.
You might be able to discover:
There are so many incredibly valuable things you can get out of reading and responding to your social media comments, so don’t think of this as just a burden.
For example, in this comment thread, a customer points out the difficulty of finding information for an art subscription box. The social media manager politely accepts the feedback and promises to talk to the team about fixing the issue.

The company not only assists the customer hunting for the information, but also proactively fixes the issue so that other customers don’t experience the same confusion.
You can also drive brand loyalty by engaging with your biggest fans. For example, if a customer often posts positive review comments on your ads, you might thank them with a free gift.
Use social media to drive deeper relationships with your existing customers. Listen to them, heed their guidance, and find ways to thank those who go out of their way to support your business.
Use social media comments to convert new customers? Yes, it really is possible.
Here are the key ways to grow your customer base through social media comments:
Here’s an example of a smart way to convert commenters into customers. The commenter is asking for help choosing the right foundation color, and the social media manager responds with the link to take their quiz.

The company has wisely signed up for Bitly’s paid plan to offer easy-to-remember short links in their responses on social networks.
The comment got 31 likes. So, not only did the original commenter get access to the link, but many others saw the response as well. You can use social media customer support to drive traffic to your important website pages.

The Bitly link redirects to a quiz. After submitting all of the quiz answers, the user needs to offer up their email address to get their results.

IL Makiage is wisely using social media comments as a way to grow their email list and offer exact product recommendations.
How should your team members respond to social media comments? Across all of your social profiles, and especially where you run ads, you might run into the following types of comments.
Read on for example comments and effective customer service responses.
One of the most common types of social media customer care required is simply answering questions and concerns. Potential customers will ask questions in social media comments about products of yours that they haven’t tried yet.
In this example, a customer asks about whether a foundation will be so heavy that it will cover her characteristic freckles. The social media manager offers an excellent response by sharing that the coverage is buildable.

In this example, a social media manager assures the potential customer that the product won’t exacerbate acne.
Note that the response quells concerns by sharing specific product details (oil-free and water-based).
Similarly, the customer service team member or social media manager handles a question with the opposite concern. One commenter worries about how the product will affect dry skin. The response features specific product details to address the issue (hyaluronic acid and vitamin E).

Details are the best way to address customer concerns. Just take a look at this example with features a very thorough response about the number guards included in a beard trimmer.

Your paying customers might ask questions as well. This is your chance to drum up excitement with current customers, engage with them on an emotional level, and show that you’re here to provide excellent customer service, even on social media.
In this example, a customer asks about whether or not the ad is featuring the next month’s art subscription box.

By answering with an upbeat tone, the social media manager gets the customer and other people reading the comment excited to receive the subscription box.
You’ll also receive customer endorsements and positive reviews in the comments section of your social media ads.
If you get an enthusiastic comment, don’t let it go unnoticed. You should reply to all of the detailed comment reviews you receive from customers.
Check out this example. The social media manager makes it clear that they are ready to offer excellent customer service if needed.

When reading this response, prospective customers can see that the company cares about their results and is available to happy to provide customer service solutions.
This can increase potential customers’ likelihood of purchasing from you.
Of course, you’re likely to receive customer complaints as well.
You might get negative reviews about the delivery date, the cost of returns, or even the product itself.
Check out this example response, which deftly handles a negative review.

Social media monitoring is critical. But that doesn’t mean you have to respond to every comment written across your entire social media presence.
If you respond to certain comments, it could come off as creepy.
For example, social media users will often tag each other in the comments sections of ads they find intriguing or humorous. They might recommend one of your products to a friend.
In this case, they are not expecting the social media manager or customer support team to respond to them. They are expecting a response from their friend.

If someone from your company responds and says something like “You should buy them!” or “You would love them!” it will appear too pushy and salesy. Worse, the social media users might feel like you are infringing on their private conversation. Although these comments are public, to the users they are more like private messages.
If customers tag other users, not you, don’t respond unless there are serious service issues, such as product malfunctions or delivery delays mentioned in the comments.
You also don’t need to respond to very short positive comments like “love this!” You can simply like the comment if it’s something positive but lacks depth and detail.
Customer service agents and social media managers can’t prepare for everything. Sometimes, comments will catch you off guard.
To offer amazing social media customer service, follow these steps every time.
While responding quickly is important, you don’t want to respond too quickly. If you rush your response, you might miss out an important element.
For example, if someone asks about the nutritional value of a product, you might quickly offer a canned response. But if you consider the context of the ad, which talks about weight loss rather than speed of cooking like your other ads, this might help you highlight more relevant product details.
When you’re sure you’ve got all the contextual information required to respond, you can go ahead and craft your response.
Make sure you hit these important points:
Product questions:
Positive reviews:
Negative reviews:
In all interactions, the customer service experience should match your brand’s personality.
Companies can get themselves in hot water when they’re too quick to respond to controversial comments. You might need to run your answer by your PR or communications team, especially if the topic is about sustainability, equity, diversity and inclusion, or the founders’ political beliefs or actions.
Here’s an example response to a question about plastic use reduction:

Sometimes, you might need to get a second opinion from the head of customer support for simple questions. Contentious responses don’t always have to be about political hot-button issues.
Here’s a great example response to a customer being shocked that there isn’t a customer support hotline.

You don’t need to get every response reviewed. But when in doubt, play it safe and get a second opinion from the head of social media management or communications.
When you’ve got the right response, go ahead and comment. Don’t forget to tag the person you’re responding to.
If the social media commenter brought up an important customer support issue, you should create a ticket for the comment thread in your customer service software.
This way, you can track the resolution.
With a ticket open in your helpdesk, you won’t have to worry about remembering to check if the person wrote back. Instead, you’ll be able to see that open ticket, and you can then click through to the post or ad with the comment thread.
If it’s an important issue (the customer wants a return or hasn’t received their product in the mail), you should do one follow up comment and tag them to make sure they saw your response.
Follow these guidelines to social media customer service, and you’ll gain new fans while deepening your connection with your current customers.
Gorgias helps ecommerce companies grow through exceptional customer service. Learn more about Gorgias' social media features.
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Did you know that back in 2019 ecommerce sales worldwide were $3.5 trillion?
We don’t have the data for 2020 yet, but worldwide sales last year were projected to reach $4.2 trillion, though they have almost certainly exceeded that due to the pandemic.
And the ecommerce market is likely to continue growing in the foreseeable future, with the projected worldwide sales for 2022 being $6.54 trillion.
To ensure that your company continues to get a piece of the ever-expanding ecommerce pie, you must research, think strategically and plan your objectives annually by creating a roadmap.
In this post, we are going to discuss exactly how to create an ecommerce roadmap. It will display where your ecommerce store is going and the steps it will take to get there.
We will cover:
…and more.
Let’s dive in.
Okay, so before we start discussing the 2021 roadmap, it’s important to look back at the previous year.
Every ecommerce business is subject to seasonality.
Some are seasonal in nature, such as those that sell winter sports gear.
But the vast majority of them see spikes in sales on Black Friday, Cyber Monday, and winter holidays.
You need to analyze the performance of the entire previous year if you want to properly prepare for 2021.
Understanding this will help you create a more robust budget that won’t be thrown off by the seasonal ebb and flow of sales.
Moreover, once you know which periods resulted in the biggest increase in sales, you will be able to allocate your marketing spend more effectively. Tim Katz, Co-Founder of DYODE explains why this is important:
“Ensure that you have your merchandise, marketing communications, and project calendar planned out for the year; while this may seem like a trivial task it is a helpful habit to ensure cross-functional partners are aligned and in sync to support your growth. Look to refresh your remarketing efforts with relevant creative and messages and exclusive content and offers in order to ensure you are maximizing your most loyal audience.”
He continues:
“As online competition increases so does the cost of acquisition. Because of this, you should focus on nurturing your biggest fans with exclusive content, product, and communication. This is a new world that we live in and you should continue to evaluate your branding and product mix in order to stay relevant.”
Look at the campaigns you ran in the previous year and what marketing channels they utilized.
You need to figure out which of these marketing channels are the right ones to get your store the most ROI. Marketing channels can range from search engine optimization, PPC, social media, referrals, email and more.
Ask yourself:
You may want to apply the Pareto principle, also known as the 80/20 rule, which states that:
For many outcomes roughly 80% of consequences come from 20% of the causes.

The odds are that 80% of your sales come from 20% of your marketing channels while only 20% of your sales come from the remaining 80% of marketing channels.
Once you have identified the 20% of the marketing channels that generate 80% of your sales, consider allocating a significant amount of your marketing budget there.
Note: the exact ratio may be different, but a few marketing channels are likely producing disproportionate results. You want to double down on them.
Now that you have analyzed the previous year’s performance, it’s time to set goals for 2021.
Arguably the most common mistake that people make when setting goals is being too vague.
That’s why it’s so important to set SMART goals.
SMART is an acronym that stands for:

For example:
Instead of saying that you want to “make more money”, you can set a goal to “increase the annual profit by 25%”.
Which metrics should you use to measure your progress towards your goals?
That’s where the Key Performance Indicators, also known as KPIs, come in.
Here’s the KPI definition:
A KPI is a business metric that is directly relevant to a specific business goal.
For example:
Let’s say that your goal is to increase the annual profit by 25%.
Obviously, the main KPI here is the annual profit, but what other metrics are relevant?
They are directly relevant to the goal because improving them would lead to an increase in annual profit.
You want to pick 3-5 KPIs to focus on.
Now let’s take a quick look at the important ecommerce metrics that you want to pay attention to in more detail:
Cart abandonment rate is the percentage of customers who put items in their carts but do not finalize the purchase.
For example:
Let’s say that 100 people put an item in their carts.
Out of those 100 people, 88 of them left without buying.
That means that your cart abandonment rate is 88%.
And if that number seems crazy high to you, note that the average cart abandonment rate worldwide in March 2020 was 88.05%.

Customer Acquisition Cost (CAC) is a metric that shows how much it costs you to acquire a new customer.
Its basic formula is this:
Marketing Expenses + Sales Expenses / The Number of New Customers Acquired = CAC
Customer Lifetime Value (CLV) is a metric that shows how much an average customer spends throughout their “lifetime” as a customer.
It’s a more complicated metric, but here’s the main equation:
Average Order Value x Purchase Frequency x Estimated Customer Lifespan = CLV
Average Order Value (AOV) is a metric that shows the average value of a sale.
It’s a simple metric to calculate:
Revenue / The Number of Orders = Average Order Value
Note that all these metrics have a direct impact on the bottom line which is why it makes sense to consider using them as KPIs.
Cash is the lifeblood of any business.
Once you run out of it, that’s it, you’re done.
That is why it’s so important to be financially responsible, manage cashflow well, and establish an emergency fund.
In psychology, there’s a phenomenon called the planning fallacy:
“The tendency to underestimate the time, costs, and risks of future actions and at the same time overestimate the benefits of the same actions.”
Basically, everything will probably take longer, cost more, involve more risk, and yield fewer benefits than you think.
It’s crucial to keep the planning fallacy in mind when creating the budget for the upcoming year for your ecommerce store.
Make sure to:
Your top priority should be the growth of your ecommerce store.
Ecommerce growth requires constant human resources and infrastructure.
This is why it’s crucial that you recognize there’s only so much that your current team can do to successfully scale your store. In fact, the chances are that in order to achieve your goals you may need to hire more employees throughout the year.
Begin this process by accurately determining your staffing needs.
Company leadership should be working on the business, and not in the business. However if you are currently without an HR department, you may need to dedicate some time to finding the right hires and training them.
That’s why it makes sense to start hiring as soon as you map out what departments need additional roles.
When it comes to expanding an ecommerce team, you have two options for most positions:
Full-time employees and freelancers.
Full-time employees can be expensive. It’s not only their salary that you need to think about. There’s also sick leave, vacation days, health insurance, etc.
However, when you hire a full-time employee, you can expect them to give your business their undivided attention. Moreover, a full-time employee is likely to feel invested in the success of your company. Why? Simple. They don’t want to suddenly find themselves out of a job!
You only hire freelancers when you need them, you only pay for the work they do, you don’t need to provide any employee benefits.
However, they are likely juggling a bunch of clients, projects, and deadlines, which means that they won’t be as focused on your business.
It’s up to you to decide what is more suited to your ecommerce store.
Hiring a full-time employee?
Then your best bet is probably DynamiteJobs job board, assuming that you are hiring for a location independent position.

Meanwhile, if you are looking for a freelancer, then UpWork is a good place to start.

You may also want to post your job ad on skill-specific job boards.
Problogger job board is the most popular writing job board, so if you need written content, you can probably find a writer there.

Building a great team is not enough.
You also need to manage it well if you want your team members to do their best work.
You want to have a specific job description for each role that explains exactly what that role entails.
That way you’ll avoid confusion, resentment, and shifting of responsibility (e.g. “I thought John was supposed to do that!”).
You should also assign KPIs to each role so that each team member would know what they should focus on. Dan LeBlanc, Founder of CEO Daasity explains:
“For the Merchants we worked with that saw triple-digit-growth in the past year they heavily invested in aligning their teams around the essential metrics to prioritize key initiatives. They ruthlessly tracked performance across their teams to make quick decisions on where to invest and where to reallocate budget.”
This also makes it easy to evaluate their performance.
You also need to manage each project correctly if you want it to be done on time and at the expected cost.
Mapping out milestones and timelines in detail will do exactly that, by helping your team members know exactly what they need to do to get their tasks completed.
Every project should start with outlining the deliverables and what needs to be accomplished for it to be a success.
These deliverables should be specific.
For example:
If you want to build a blog this year, then one of the deliverables could be to publish one article per week for the entire year (52 articles in total).
Note that this is a deliverable that the person who owns this project can control.
Articulate the steps it will take to achieve your objectives.
Once you have defined the deliverables for the project, you need to create a Work Breakdown Structure (WBS). What’s that?
Here’s one definition:
“Deliverable-oriented hierarchical decomposition of the work to be executed by the team to accomplish the project objectives and create the required deliverables.
Here’s an example:

Once you have created your Work Breakdown Structure, it’s time to assign each work package to the team member who will own it.
You also want to create a to-do list for each work package so that the person would know exactly what is expected of them. To-do lists are essentially checklists that list the actions one needs to take to perform a specific task. They reduce the number of mistakes team members make.
Now that everyone has their work packages and to-do lists, you should estimate the total time required to complete each task.
Once you have these estimates, use them to determine the time required for each deliverable. This will speed up the process because the person working on a task doesn’t need to waste cognitive energy thinking about how long they should set aside.
Just remember the previously mentioned planning fallacy. Everything will probably take longer than you thought it would. Make sure to account for that.
It’s crucial to regularly evaluate your progress if you want your team to stay on track throughout the year.
You can do that by organizing quarterly reviews where you:
Now let’s take a look at the marketing strategies of your roadmap.
Want to get more organic traffic from Google?
Then you need to step up your SEO game. First, you must:
You should start with auditing your ecommerce website. Site preformance is particularly important, as Ben Crudo, CEO of Diff agency explains:
“Don’t let your store slow down. Customer experience, sales, the Google ranking of your website, and mobile performance are all impacted by site performance. Making a habit of regularly auditing your site for speed, and taking steps to optimize it will ensure that your store keeps up with customer’s expectations for performance.”
Here’s what you want to know:
You also want to critically evaluate your content. How can you make it better?
Next, you want to identify keywords that you could rank for.
Here’s an overview of the keyword research process:
You can use your knowledge of your niche to find keyword ideas. What are your potential customers interested in? Brainstorm these seed keywords.
You may also want to go where your customers hang out online and observe the conversations happening there.
Finally, be sure to check out what your competitors are doing, especially what content ranks well on Google.
Once you have identified enough promising keywords, you should compile them into a keyword list.
Once you have your keyword ideas, use a tool like Ahrefs to analyze the relevant keywords.
Which ones seem promising? Look at metrics like keyword difficulty, search volume, clicks and traffic potential.
Note that you want to focus on keywords that you can realistically rank for.

Now that you have a keyword list, it’s time to develop a content strategy.
Go through your keyword list and turn each of these keywords into an article topic.
Then create a content calendar so that you would know when each article should be published.
Once you have a content calendar, it’s time to start writing.
You can write the articles yourself or you can hire a writer to do it for you.
You may want to post a job ad on the previously mentioned ProBlogger job board if you choose the latter option.
It’s important to understand that creating great content is not enough. You also need other people to link to that content. Why?
Google uses backlinks as one of the top ranking factors to determine how valuable the page is to the visitors and where it should be placed in the search results pages for that keyword.
But not all links are made equal. The higher the domain authority of a website, the more valuable the link.
You can use the Moz free Website Domain SEO Analysis Tool to see the domain authority of a specific website.

Your aim should be to get as many backlinks as you can from authoritative websites so that your content will rank and in return, your ecommerce store will gain organic traffic.
You also need to have your technical SEO on point if you want your content to rank on Google.
Here are a few basics of you need to optimize:
Okay, so now you are on track to increasing your organic traffic, but how can you make the most of it? By optimizing your website.
That’s what you should focus on in the second quarter of the year.
You want to start by analyzing the customer journey.

Look at your data.
What steps do the customers take to get from that first interaction with your company to completing a purchase?
You want to map this out so that you can then improve this process by finding the answer to questions like:
There is often a lack of personal interaction between consumers and companies. This has led to a growth in customers feeling frustrated, since they often run into issues and can't easily find a customer support agent to talk to.
Even worse, some companies make their customers wait a long time for a response or don’t get back to them at all.
And since 95% of consumers say that customer service is important for brand loyalty, your ecommerce store needs to implement a fast and proactive customer support strategy that guides visitors through the customer journey.
The following tactics will delight your customers and keep them coming back for more.
First response time (FRT) is the time elapsed between a customer submitting a query and how long it takes a customer service agent to get back to them.
Today, customers expect a fast response. In fact, data shows that 88% of customers expect a response to their email within 60 minutes and 30% expect a response within 15 minutes or less.
Fortunately, a helpdesk like Gorgias now offers the ability to create macros.
Macros are canned responses that agents can use for dealing with specific topics. This makes it much easier and faster to answer your customer’s queries. You can also add other pieces of information to your macro, such as Shopify data, like a customer’s order number.
Resolution time is the average amount of time it takes your customer service agents to close a ticket after it has been opened.
To reduce your resolution time, all of your customer’s tickets must be managed from one centralized hub in a multichannel helpdesk. This means your customer support team will have a full view of all your customer’s messages, no matter what channel they reach out from.
Keep in mind that your customers reach out through various channels, (i.e. social, chat, email, phone).
The number of your one-touch closed tickets will also increase, which is important. After all, 33% of all consumers consider the most important aspect of good customer service experiences to be being able to get their problem solved in one single interaction.
One way ecommerce stores measure their success is with the key performance indicator Customer Satisfaction Score (CSAT). It is a survey that determines a customer’s level of satisfaction at key interaction times, such as a support ticket exchange.
The types of questions you would ask in your survey would be variations of “How would you rate the support you received?”.
Then, respondents answer by using the following 1 to 5 scale:
I recommend that you present a CSAT survey after a ticket resolution, since this would be the perfect time to gather customer sentiment.
Then, take onboard their feedback and see how you can make your other customers happier by improving your customer support strategy.


