

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Results:
Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.
Here’s what stands out:
What this means for you:
Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.
If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.
Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.
If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.
Book a demo or activate Shopping Assistant to get started.
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TL;DR:
No matter how small or large your operation is, you probably have hundreds of small tasks that only take just a few minutes out of your day. On their own, these manual tasks don’t appear to be huge time-wasters. However, when they accumulate, they may end up wasting a full hour.
What falls into these time-wasters? Well, it can be anything from small tweaks to your ecommerce platform, to running email campaigns and sending follow-up messages to your customers. All of these tasks, when taken lightly, can become dangerous.
In fact, these small tasks can destroy your productivity and hinder the growth of your business. As Deloitte recommends, you have to avoid wasting time on insignificant tasks and focus all of your attention on fundamentally improving your operation.
That’s where automation comes into play. In this article, we’re going to talk about the following three things:
Ecommerce automation is when businesses implement tools to replace manual processes. For ecommerce specifically, this might mean sending an automatic response to common questions like "where is my order," automatically generating order updates (like shipping and delivery), offering additional product suggestions at checkout, or sending a welcome email to first time customers.
Automation can help you streamline ecommerce tasks while still maintaining a human touch. It also helps teams keep track of inventory, reduce costs, increase customer satisfaction, lower first response time, and eliminate tedious or repetetive answers for your customer support team.
Everyone has a routine. Your employees do too. But insignificant tasks don’t need to be a part of it. Roughly 25% of employees simply want to “do their jobs.” Use automation to give your employees an opportunity to do their jobs and improve satisfaction rates.
Without spending an hour or two easily-allocatable jobs, your employees can concentrate on working on their tasks and getting things done on time. That will eliminate the need for working overtime and, in turn, save your company a good amount of money.
Your employees won’t be the only ones feeling more satisfied than ever. More than a third of consumers feel that response time is the most important aspect of customer service. By automating customer services (including adding customer self-service options), you’ll ensure high satisfaction rates among shoppers.
By now, you’ve hopefully realized just how useful automation can be. Regardless of the size and type of your online store, some processes need to be automated as soon as possible.
The biggest difference between traditional and automated customer service is that the latter can work 24/7, gather real-time feedback, and provide answers instantly, usually through features in your helpdesk. All of this can improve your customers’ experience immensely.
For example, luxury shoe and garment care retailer Kirby Allison's support team was inundated with simple, repetitive questions like, “Where is my order?” or, “What kind of shoe polish do I need?” Plus, they were processing exchanges and returns manually. The time loss meant a slower response time, and limited business growth because the team had little time to tackle anything else.
Once they implemented Gorgias Automate, which resolves basic CX requests with AI and automation, they saw 23% more conversions, 46% more sales from support, and 30% of tickets deflected by automation.
“Now my support agents can focus on the most important tickets,” says Addison Debter, their Head of Customer Service. “And I can focus on developing the website, inventory management, and updating product information — growth aspects that would historically have been put on the back burner because of the heavy manual workload.”
In the past, having a sale every few months was the standard. Now, most online stores have weekend sales almost every month. It’s no wonder why more than 60% of salespeople feel that selling is much harder today than it was just a couple of years ago.
Now you’re forced to have frequent sales as well -- just to compete with other stores. While having a sale may seem like a simple thing to an untrained eye, you need to look beneath the surface.
You’ll realize that the automation process has a lot of moving parts:
Tools like Shop Workflow Automation and Arigato Automation, as well as Shopify Flow - which will get a few more mentions in this piece - can help you here.
Every time you're restocking or adding a new collection of products, you have to treat it like a new product launch. You have to see what platforms you need to target, what consumers to notify, at what time, and deal with many other aspects.
Even something simple like a product rollout requires much preparation. A lack of preparedness is the biggest problem an online store can encounter.
The promotion starts on your website. And you want people to know about new products right away, right? Then you can use a heatmap tool like Crazy Egg to get an idea of where to place ads on your site. It will help you see what’s working, what's not, and give you new ideas.
Although few people today fall for “Nigerian Prince” schemes, credit card fraud is still a big problem on the Internet. The ecommerce industry loses over $12 billion every year due to fraud. And there are many types of ecommerce fraud.
That’s why order management is a tricky task for so many employees.
If you want to eliminate human error out of the equation, you should try Shopify’s risk analysis tools. The tool verifies every order that comes to your dashboard through address verification, IP address check, and other business processes.
In the video below, you can hear Eric Bandholtz of Beardbrand and Brett Burns explain how they use Shopify Flow to filter out fraudulent orders:
Managing your inventory is not something many of your workers look forward to. Of course, if you don’t keep track of your stock, you won’t be able to know what items need to be restocked or to communicate effectively with your suppliers.
And the last thing you want is more supply management problems.
A lack of inventory management can also lead to lower sales and lost revenue. That’s why you need to oversee products coming in and out of your company. This may be time-consuming, but you can use an inventory management platform to make things easier.
You need a platform that will help you manage the supply chain more carefully, assess your stock, and keep your suppliers in tune at every moment.
When it comes to your ecommerce store, email is one of the most powerful tools you have. It can help you with cross-selling efforts, customer retention rates, and of course, your marketing strategy. Automating email marketing makes a lot of sense. You don’t want to spend hours writing and sending out emails to your shoppers.
But many businesses fail to realize this.
In fact, in the United States, less than 5% of companies with more than 20 workers apparently use any marketing automation at all. You can’t allow your company to not leverage marketing automation.
Businesses that have embraced ecommerce automation tools and improved their email strategies have managed to increase their conversion rates by up to 77%. So what should you look for in an email marketing automation tool?
Here are a few things to consider:
Recommended reading: Ecommerce Email Automation Series for Online Stores
When you were just starting your own online business, you probably didn’t think too much about accounting. It’s one of those aspects of a business that doesn’t require too much focus in the beginning, when you’re not making too much.
But as your business grows, that changes completely.
Hiring an accountant is a great idea unless you’re just starting and you don’t have enough money for it. If that’s the case with you, you need an alternative solution. Fortunately, studies have shown that you can actually automate 50% of accounting-related tasks.
There’s plenty of tools for you to choose from. And they can help you with everything from managing your funds to invoicing and keeping track of supplies.
Some of the most widely used accounting platforms include:
The look of your website accounts for 75% of your brand’s credibility with users. That means every aspect - from design and graphics to easy-of-use and navigation - needs to be running smoothly. And that also means that you need to have someone overlooking everything.
Working on a tight, calculated budget can make having a 24-hour on-deck team for these kinds of problems next to impossible. However, you can still have all of the minor problems under control with the use of automation.
Small theme changes, action-oriented visuals, and pop-up banners can all be handled without the developers’ involvement with a bit of help from Shopify Flow. You should only call in the big guns when you got a real problem on your hands.
A little automation can go a long way but try not to overdo it, especially when it comes to ecommerce automation. You can’t use automation as an excuse to ignore customer support completely. If you start completely relying on robots to communicate with your customers, you’ll start losing them.
Here’s what you need to keep in mind about automation:
If you want to give your brand a human feel, you need to treat your customers right. And you can’t treat them right without the right tools. Sign up for Gorgias today and get a 7-day free trial.

TL;DR:
Average response time measures the duration between when a customer submits a support inquiry and when they receive their first reply.
For ecommerce brands, this metric directly impacts customer satisfaction, loyalty, and revenue. 90% of customers rate an immediate response as "important" or "very important" when they have a support request, with 60% defining "immediate" as 10 minutes or less.
This guide covers everything you need to calculate your average response time and understand channel-specific benchmarks. You'll also learn proven tactics to reduce your response times while maintaining support quality.
Average response time (ART) is a customer service metric that measures the time between a customer's inquiry and the first reply from your team.
Average response time applies across all support channels your brand uses:
ART measures the time to first reply, not full resolution. This differs slightly from first response time (FRT), which tracks only the initial contact on a new inquiry. ART includes all replies across the ticket lifecycle, while FRT focuses exclusively on that critical first touchpoint.
You can measure average response time during business hours only or across all hours. Business-hours measurement accounts for when your team is actually available, while all-hours measurement reflects the true customer experience, including wait times outside your operating schedule. Most ecommerce brands track both to gauge staff performance and identify gaps in coverage.
Average response time directly impacts customer satisfaction scores and loyalty. Even if your support team is friendly and helpful, the customer experience suffers when they wait too long for a response. Fast response times reduce frustration and show customers you value their time.
By improving customer loyalty and boosting average customer lifetime value, offering a low average response time can directly benefit your brand's revenue. Brands that resolve their customers' concerns within six hours or less see an estimated revenue lift of two percent.
Response speed also affects your brand reputation.
In competitive ecommerce markets, response time becomes a competitive advantage. When customers compare similar products at similar prices, superior support responsiveness can be the deciding factor. Meeting or exceeding service level agreements (SLAs) also builds trust and sets clear expectations with your customers about when they'll hear back from your team.
You can calculate average response time with a simple formula:
Average response time = Total response time ÷ Number of responses
When calculating, you can measure during business hours only or across all hours, including nights and weekends. Business-hours calculation shows your team's performance when they're actually working, while all-hours measurement reflects the complete customer experience, including wait times when you're closed.
Exclude automated chatbot replies and out-of-office responses from your calculation — these don't represent actual human support interactions. Also, exclude tickets that were spam or never required a response.
Average response time differs from first response time (FRT) and resolution time. FRT measures only the time to initial contact on new inquiries, while resolution time measures the total time from inquiry to full resolution.
When you add average handle time (AHT) and ART together, you get average resolution time. This metric measures the total time it takes to resolve a customer's issue.
Most brands filter their average response time data by team, agent, channel, or time zone to identify specific performance patterns and improvement opportunities.
Let's walk through a real example. If you had four support tickets one week that took 10 minutes, 15 minutes, 25 minutes, and 20 minutes to respond to, here's what your average response time calculation would look like:
Step 1: Add up all response times: 10 + 15 + 25 + 20 = 70 minutes total
Step 2: Divide by the number of responses: 70 minutes ÷ 4 tickets = 17.5 minutes
Average response time = 17.5 minutes
That said, calculating average response time by hand isn't feasible for most brands, especially as your customer base and number of responses increase. Fortunately, most customer service platforms and helpdesks calculate these performance metrics for you automatically.
In Gorgias, you can also break down real-time support metrics (like first reply time, resolution time, revenue generated by support, customer satisfaction (CSAT), and more) by:
The answer to what constitutes a good average response time depends on the customer support channel you use. Each channel has different customer expectations and urgency levels. Average response time benchmarks for email requests will naturally be much higher than those for live chat messages, when the customer is actively waiting for a response.
Your industry can also impact what constitutes a good average response time. A company selling B2B software is likely to have longer response and resolution times than an ecommerce company due to the technical nature of their product and different customer expectations.
Here are best-in-class, average, and below-average response time benchmarks based on the customer support channel you're using, according to our Senior Director of Customer Success, Bri Christiano:
ART benchmarks for email:
ART benchmarks for social media:
ART benchmarks for SMS:
ART benchmarks for live chat:
If your reply times aren't close to these benchmarks, don't worry. It's much more important to continually improve on your current performance than it is to match industry benchmarks. Focus on developing your customer service automations, customer service training, and templates to help your team offer fast replies.
If you want to improve your average first response time, here are proven strategies that Gorgias customers have used to speed up their response times. The key is balancing speed with personalization and accuracy — faster replies shouldn't come at the cost of helpful, accurate support.
Real-time support channels like live chat and SMS inherently support faster response times than social media and email channels. This is likely why, based on Gorgias data, chat is the second-most preferred support channel, next to email.
Adding a live chat widget to your website, such as Gorgias live chat, enables anyone who visits your website to quickly connect with a support agent. Gorgias live chat also integrates with SMS, Facebook Messenger, WhatsApp, and other social media platforms, so you can offer live chat support via these channels as well.
You can also incentivize your customers to use these faster channels by sharing a service-level agreement (SLA) that lets them know they won't have to wait as long if they use live chat or SMS.
Love Wellness, a Gorgias customer, does this brilliantly by pointing customers to their chat for quick answers:

Installing self-service options (like chatbots and automated flows) in your chat widget is an excellent way to ensure customers on your website can get quick answers to common questions. This directly lowers ART by reducing your support team's workload so they can respond to complex tickets that can't be resolved with self-service faster.
Gorgias lets you create automated conversations called Flows to deliver the answers to your most frequently asked questions. Here’s how Gorgias customer, OSEA, uses Flows on their website:
You can use AI to answer simple customer questions that come in via email, social media, SMS, and more. Letting an AI chatbot handle straightforward questions such as "where is my order" and "what is my tracking number" can reduce the volume of support tickets upfront, freeing your team to focus on more complex inquiries.
Take a look at how Gorgias AI Agent handles makeup questions naturally:
Remember that first response time is an entirely different metric from resolution time. You don't have to immediately resolve a customer's issue to achieve faster response times — you just have to respond to the customer's request and let them know you're working on the issue.
One great way to do this is to use autoresponders that acknowledge the customer's request the instant they send it in. This way, customers know your team received their message.
Some examples of acknowledgment messages:
While an automated response doesn’t resolve the issue, it still shows your customers that you’re paying attention and ready to support their needs at any time.
Some tickets demand a faster response than others. If you detect that a customer is upset or angry, then it's important to respond to their request as quickly as possible to prevent them from churning. With intelligent routing, you can automatically send tickets to the right agent based on VIP status, issue urgency, or negative sentiment detected in the message.
Gorgias lets you prioritize tickets automatically so your agents can focus on responding to the most important tickets without manually triaging each one. Since agents aren't required to manually triage tickets that are prioritized automatically, they'll be able to respond to them faster.
With Gorgias's Intent and Sentiment Detection features, you can automatically analyze each ticket using powerful natural language processing (NLP) technology.
You can then create Rules to automatically assign a priority level to each ticket.
Here's an example of a Rule that automatically tags tickets with "URGENT" whenever a customer mentions anything about an address update, flavor change, order cancellation, or mistake:

An easy way to accelerate your ART is to create template responses for your most-asked questions. In addition to reducing ART, these templates can serve as helpful resources for your agents, allowing them to respond without starting from scratch each time.
Gorgias's templates are called Macros, and they're much more powerful than run-of-the-mill templates thanks to variables. Variables are like blanks in the template that automatically populate with personalized customer information pulled from ecommerce platforms (like Shopify, BigCommerce, and Magento) and other ecommerce tools (like Klaviyo, AfterShip, and more).
Here’s a Macro in action:
A comprehensive knowledge base or help center allows customers to find the information they need on their own. While this won't be directly reflected in your average response times, you’ll find that your inbox receives fewer of the same questions. That means agents have fewer tickets to handle and more time to strengthen customer relationships.
Take a look at Princess Polly’s polished Help Center made with Gorgias:

Gorgias automatically tracks average response time and displays it in your Support Performance dashboard. You get real-time visibility into how quickly your team responds across all channels, with no manual calculation required.
You can filter your average response time data by multiple dimensions to spot trends and identify improvement opportunities:
Gorgias also provides SLA breach alerts that notify you when tickets are at risk of missing your response time targets. This lets you intervene before a customer has a poor experience. The platform tracks related metrics alongside ART, including first response time, resolution time, customer satisfaction (CSAT) scores, and revenue generated by support, giving you a complete picture of your team's performance.
Use this data to coach agents on response speed, identify training opportunities, and refine your support processes. For instance, if you notice one agent consistently has faster response times, study their workflow and share those best practices with the rest of your team.
Reducing your average response time is a crucial part of providing a great customer experience — and it's one of the many goals we help ecommerce brands realize.
See how Gorgias can help your brand improve response times and deliver faster, better support. Book a demo today.
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Online shopping is at an all-time high. Unfortunately, so is the rate of returned items.
In 2021, online shoppers returned over 20.8% of all merchandise ordered, according to the National Retail Foundation. Added up across all ecommerce businesses, this means $761 billion of merchandise gets sold but doesn’t actually become revenue.
We’ll cover some of the top reasons for customer returns below but most of the reasons boil down to one thing: a poor customer experience. If customers feel misled, duped, or unsupported, they’ll quickly send back an item and take their business elsewhere.
In this post, we’ll share 10 actionable strategies (including tools and examples) to help you develop a return-proof customer experience.
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No brand can completely eliminate returns, and that’s because customers return items for a wide variety of reasons — some of them outside of your control. The top reasons that customers choose to return products purchased via online shopping include:
When exploring how to reduce returns, examining these common reasons for online store returns and how they apply to your own business is an important place to start.
According to data from the National Retail Federation, U.S. consumers returned an estimated total of $761 billion in merchandise in 2021 alone. Thanks in part to supply chain challenges and rising prices, processing the return of a $50 product is now expected to cost ecommerce stores an average of $33 according to Axios.
The cost of having a high return rate goes far beyond lost profits. In addition to losing out on a sale, processing a returned product also means that you have to pay return shipping costs as well as any labor costs associated with your returns process, like assisting customers with returns and restocking returned products. When you consider the fact that ecommerce return rates can climb as high as 30% or higher, these expenses can quickly add up. This makes reducing your number of returns an essential goal for your ecommerce brand.
Offering high-quality products is the first step to reducing your return rate, but great products are just the beginning. Below, read more about the 10 additional ways to boost your customer experience and reduce returns.
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Encouraging customers to exchange products rather than return them for a refund won't eliminate all of the expenses associated with processing a return. Even with exchanges, you still pay for return shipping and any labor costs associated with your returns process.
However, exchanging a product rather than refunding it does mean that you get to keep whatever profit margins you earn from the sale, which can sometimes be a big boost to your company's bottom line. Plus, you still have a chance to delight the customer with a product and hopefully build up loyalty from there.
How you go about encouraging exchanges is ultimately up to you. Some online stores only offer store credit for returns, and state in their return policy that they will not provide cash refunds. However, refusing to offer refunds altogether may yield a returns experience that leads to a lot of unhappy customers. Another option is to encourage product exchanges with carefully-crafted messaging or incentives, like an additional store credit.
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If you look at Jaxxon's FAQ page, you'll see the brand has a standard 14-day returns and exchange policy that allows customers to get a refund or new product for any reason. But Jaxxon uses Loop Returns as a self-service return portal, which has two major benefits:
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Bonus credit is exactly what it sounds like: Customers can have more in-store credit than they would get as a refund in the original form of payment. This strategy is effective: Shopify stores that use Loop issue 15% fewer refunds than brands that don’t. As a result, Jaxxon rescues a sale and keeps the opportunity to delight the customer for greater customer retention.
Learn how the Gorgias + Loop integration unites your helpdesk and returns management software.
Jaxxon also uses live chat support on their returns portal page, which is yet another line of real-time defense against an avoidable return. If customers are considering a return, they may instead reach out to customer support to resolve whatever issues drove them to the page.
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The customer service agent on the other end of the live chat might be able to fix the issue, especially if it came down to user error, and lead the customer to keep the item. Or, the live chat agent gives recommendations for products that won’t have the same issue to steer toward an exchange instead of a return.
Adding live chat to your returns portal is one of the revenue-generating tactics from our CX-Driven Growth Playbook, which is based on research of over 10,000+ top ecommerce brands. Check out the playbook for 17 more actionable tips to drive revenue by improving your CX.
One of the biggest reasons why online purchases have a higher return rate than products purchased from brick-and-mortar stores is the fact that customers cannot examine products in person. This makes it much more likely for a customer who purchases a product online to end up returning their purchase due to it not meeting their expectations.
The best way to combat this is to make your product descriptions as in-depth and accurate as possible. When customers know exactly what to expect from the product they are purchasing, the odds of them being dissatisfied when it arrives are much lower.
This is especially true for apparel: size charts, size guides, and any other information to help the customer avoid buying the wrong size. Likewise, any sort of furniture must include clear dimensions, and any sort of technology must include detailed specifications.
Marine Layer is one example of an online store that has in-depth product descriptions to minimize returns. To help customers choose the right clothing and accessories, Marine Layer offers details information in their product descriptions such as the exact dimensions of the item, the size of the model who is wearing it in the product images, and helpful size charts.
The brand uses tabs to include more information without making the page too long. Here’s the description for a pair of pants:
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Keeping with the theme of letting customers know exactly what they are getting, there is no element of your product description more important than your product images.
Along with using high-quality product images that display your products in the most appealing way possible, it is also a good idea to use product images that provide context about the product. For example, you may wish to display photos of your product in action to show its intended use. Or, you can show your product next to household items to give customers a better idea of the size and dimensions. Even better, you can include product videos to show the product in action.
By displaying multiple high-quality photos that offer context, you can ensure that there are no unwelcome surprises when your customer uses your product for the first time.
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Native Union’s online store sells tech accessories such as charging cables and phone cases. They make use of multiple photos on each product description, including photos that display how the product is meant to be used. For example, the charging pad shown above clearly shows compatibility with iPhones, AirPods, and Apple Watches.
Customer reviews are one of the most powerful sales tools that ecommerce stores have, since they provide customers with social proof and an unbiased source of information to guide their purchase decision.
Along with helping online retailers boost their conversion rates, customer reviews can also be leveraged to reduce return rates. Displaying reviews that provide greater details and context regarding a product — such as how an article of clothing fits certain body types or how the color of a product in-person compares to its photos — can go a long way toward helping your customers make informed purchases that they are much less likely to return.
Steve Madden is one company that makes excellent use of product reviews. Each product page features searchable, filterable product reviews to set customer expectations. Steve Madden is an apparel brand, so they let you sort reviews by sizing, whether they contain images and videos, the age of the reviewer, the pros of the product (like “cute,” “comfortable,” or “value,”) and whether the reviewer recommends the product.
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They also have a section where shoppers can ask questions that people who previously purchased the product can answer (e.g., “Can you exercise in these shoes?”) as well as an overall sizing scale, which shows whether reviewers tend to think the product is true to size:
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One common reason why a customer may choose to return a product is that the product showed up late and they no longer need it. To keep your customers as satisfied as possible post-purchase, optimize the accuracy and speed of fulfillment to make sure that every customer receives the exact products they purchase within the promised timeframe.
There's no better example of an ecommerce platform that has optimized its fulfillment process than Amazon. Offering two-day shipping on the vast majority of its products is just one way that Amazon can prioritize customer satisfaction and limit returns.
However, most brands can’t match Amazon’s speed of delivery, at least in-house — that appealing offer is only possible for massive-scale, high-GMV companies. One strategy to reduce shipping-related returns is to provide accurate shipping estimates for all customer orders: clear expectations are better than nothing at all.
Another strategy is to work with a fulfillment partner like the Shopify Fulfillment Network or ShipBob to achieve Amazon-like shipping. Both of these fulfillment partners help DTC brand offer expedient shipping that can both drive sales and reduce returns.
Receiving a damaged product is another common reason why online shoppers make returns. While good quality control can ensure that a damaged product doesn't leave your warehouse, there's only so much you can do to prevent a product from becoming damaged en route to the customer. What you can do is protect your product as much as possible by using high-quality packaging. For some products, this might not be much of a concern. However, if your products are fragile or prone to damage, put some extra padding or structural protection into the packaging to protect them in transit. Reducing the risk of damage during transit can go a long way toward lowering your return rate.
Apple’s packaging is renowned for its minimalist, yet immediately recognizable design. While it looks simple from the outside, Apple’s product packaging features multiple layers of sturdy cardboard and styrofoam padding to thoroughly protect Apple devices en route to the customer.
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An amazing pre-purchase experience is essential for optimizing your store's conversion rate. But the buck doesn’t stop when a customer completes the purchase. A clear post-purchase experience can drive repeat business and proactively minimize your return rate.
There are several ways to offer a positive post-purchase experience for your ecommerce customers. You use self-service automation flows that let customers know about the status of their order, create and share help center articles that explain how to use the product, schedule a call to walk customers through the ins and outs of their new product or offer discounts — just to name a few.
Warby Parker lets any customer try on a pair of glasses before confirming the purchase. In the post-checkout email, they include tips for the home try-on kit.
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While this is a little different than most use cases, since it’s a try-on shipment instead of a purchase, the step-by-step tips provide a strong example of the type of guidance that can set customer expectations, reduce avoidable issues when the customer receives the product, and directions for where to find support if an issue does arise.
The majority who return products have a legitimate reason for doing so. However, there are those known as “serial returners” who abuse ecommerce return policies. These dishonest customers purchase products with no intention of keeping them, essentially renting products for free at the expense of the store they purchased them from. If you can identify customers who are abusing your return policy in this manner, the best thing you can do is ban them from making further purchases from your store.
Most companies choose not to publicize their policies for dealing with serial returners. However, here is an excellent resource from Shopify on how online store owners can address this common problem.
It may sound counterintuitive, but giving customers a longer window to return products can actually reduce the return rate for your ecommerce site. If you only give customers a short period of time to decide whether they want to keep or return a product, they often feel rushed to make a decision. Giving your customers more time to become comfortable with your product before they are forced to decide whether they want to keep or return it increases the likelihood that they will choose to keep it.
New mattresses tend to take a little getting used to. To prevent customers from returning mattresses before they have the chance to break them in and become used to them, Mattress Firm allows customers to return their mattresses up to 120 days after the date of purchase.
At the end of the day, returns will always happen. One strategy is to mitigate losses from returns by doubling down on a customer loyalty effort like gift cards and loyalty points.
In addition to driving long-term loyalty and repeat purchasers, loyalty points and gift cards can also be offered in place of a cash refund for returned products. This enables you to offset some of the expenses you incur when a product is returned, because it encourages customers to exchange their product rather than return it for a refund.
There are plenty of examples of companies that leverage gift cards and loyalty programs in a variety of different ways. The North Face's loyalty program, however, stands out because customers can earn points for many reasons — not just making a purchase — and the brand’s rewards are custom-tailored to each individual customer.
Product returns can be a massive expense for ecommerce stores due to the high rate at which ecommerce products are returned and the high cost of processing online purchase returns. By following the 10 tips outlined above, you should be well on your way to reducing this frustrating expense.
As you read, improving your customer experience helps you lower your return rate and process returns more efficiently. Gorgias’ customer service platform helps you do just that. With Gorgias, you can limit product returns and boost customer satisfaction by offering fast, omnichannel, and self-service customer support.
Learn more about how Gorgias can integrate with returns management software and help you reduce your ecommerce store’s return rates with outstanding customer service — contact us today.

In the quest for ever-increasing efficiency, it’s easy to lose sight of a core business reality: Your customers are humans, and they still like to be treated as such.
Customer service departments certainly should leverage automation technology and work toward greater efficiency — but not in a way that frustrates customers. Instead, businesses should use automation to enhance a personalized customer service approach.
In this guide, learn personalized customer service is a top trend in customer service. Then we’ll give you nine ways to start providing more personalized customer service that you can implement right away.
Personalized customer service is the strategy of using individual customer information to tailor customer interactions. This information can include the customer’s name, purchase history, past support tickets, and anything else that your business might already know.
Personalized customer service can be delivered throughout the whole customer journey, from the pre-sales stage to post-purchase. Here are five fantastic examples of personalized customer service:
Providing excellent personalized customer service can seem overwhelming for many businesses, especially during periods of rapid growth. It’s true that developing a comprehensive personalization strategy takes resources and effort, but there are all sorts of simple ways to start transitioning to a more personalized approach:
Proactive customer service anticipates when customers might need assistance, and offers help before they reach out. For example, some brands use proactive support as part of their marketing strategy. They might use an automated live chat pop-up to share product recommendations, offer to answer questions or help new customers make a purchase, or share that a live chat support option is available, should they need it.
Proactive support has many forms, like providing self-service resources like an FAQ page to answer repetitive questions or help with common pain points. It also might be an email that says “Can I help you with anything?” Offering help before people need it feels infinitely more personal than forcing the user to comb the website and find the right contact information.

Proactive support helped Gorgias customer Loop Earplugs increase their revenue by 43% with pre-sales flows. “When customers get a quick and honest answer, they often end up buying more than one product in a short span of time,” says Customer Service Manager Milan Vanmarcke.
The first step towards implementing a proactive strategy of your own is to take a look at past customer conversations and look for common threads. Once you identify your most frequently asked questions, create an FAQ page with them. Be sure to link to any policies you have as well, like shipping, returns, exchanges, and where folks can reach out to get more help if needed.
📚Recommended reading: Our complete guide on proactive customer service.
There’s a reason that car salespeople learn prospective customers’ first names within the first few seconds of an encounter. It’s a science-backed approach that builds trust and familiarity.
Using specifics like a customer’s name or last order number goes a long way toward making the customer feel trust for your brand. It also shows that you’re listening, that you care, and that you have accurate information in front of you. Though this type of approach can be more time consuming, using templates with dynamic variables can help. Plus, it’ll lessen the need to go back and forth with customers to get that information in the first place.
Consider signing up for a centralized helpdesk. Some helpdesks allow you to use templates with dynamic fields that pull in customer data like tracking information or the date their recent order shipped. On Gorgias, these templates are called Macros, and you can use them throughout your communication channels, on chat, or via email.

As you work to further customize your approach, refine the way you use the customer data you already have from your other ecommerce tools to inform the kind of care you provide.
Analyzing data from your CRM (customer relationship management system) can help you identify trends and common issues. This data can help you find common questions that are better handled via a FAQ or knowledge base, or that can be generated through automated chatbots or emails, saving your CS teams and your customers time.
Take a look at the demographic information you have about your audience to learn more about what might be most important to them. Use metrics like CSAT to understand how your support is performing, or retention numbers to see how many customers make second and third purchases, especially after requesting support.
With a helpdesk like Gorgias, you can use the Customer Sidebar to pull customer data from different app integrations. Pull loyalty information from LoyaltyLion, get insight into reviews from Yotpo, or get marketing data from Klaviyo.

This type of information can aid in your personalization efforts by providing further insights into how customers are feeling and what kind of support they’re looking for. For example, you might find some negative reviews and be able to send those customers a follow-up email to see how you can help.
Personalization at scale requires the use of tools that keep your customer data safe, centralized, and accessible so that agents can answer questions with a consistently high level of care.
Unifying all your customer touchpoints in one helpdesk platform lets reps see all past interactions and information, so they avoid asking customers to repeat themselves. They’ll be able to see information like past order history, returns, past support conversations and resolutions, and how long someone has been a customer.
That’s been a key differentiator for Gorgias customer Absolute Collagen. "We hear all the time in a Facebook group or on the phone how much customers trust us because they know we'll get back to them and resolve the issue quickly,” says founder Maxine Laceby. “It's a real point of difference for us that our customer service team can do that. And the reason they can do that is that all of our channels are in one place."
Gorgias is an all-in-one platform for ecommerce merchants looking to improve their customer service and helpdesk functions, from chatbot-like menus to customer self-service. It’s the perfect place for DTC ecommerce brands to start scaling their personalization efforts and drive more revenue.
Customers want to interact with your brand in different ways, and an omnichannel approach to customer support takes customers’ preferences into account. By offering support across all channels, like social media, email, phone, live chat, and SMS, you can better meet customers where they are and give support on their terms.
To do this effectively, you’ll need to ensure that all of your channels connect (a helpdesk like Gorgias will do this for you). And, that you have a support strategy for each channel.

Unifying platforms into one place helped the team at Lillie's Q, a shop that sells authentic Southern barbecue sauces and rubs, offer a true omnichannel experience to its customers. Before using Gorgias as its centralized helpdesk, messages on different platforms were getting passed manually to customer support, a tedious task with a big room for error.
"We received comments and questions from Instagram and Facebook, organic and paid. Our digital content manager was passing a lot of these questions and comments on to our customer service team before we were with Gorgias," says Nicole Mann, the Marketing Director at Lillie’s Q.
📚Recommended reading: Check out our guide to omnichannel customer service.
Support requests come into social media channels for many reasons. For example, angry customers might send a direct message or comment on a post because it feels more immediate, especially if a brand is active. Or, they could respond to a post asking for more information about a featured product they’d like to purchase.
Whatever the reason, people spend 147 minutes on social media per day, which means that by offering support there, you’re able to engage with people directly within the apps where they already spend time. This also allows you to engage with people in positive ways by sharing relevant content with them, posting packing videos of their orders to make them feel special, or reposting a picture of them using your products in real life.
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According to The Effortless Experience, only 4% of customers who had a high-effort customer support experience will return to make another purchase from that brand.
When a customer decides to contact support, they’re already likely a little bit frustrated to have to put in any effort at all. But actions like having to go back and forth with a support agent to give simple information like order numbers, shipping address, or email can increase the time it takes to get a resolution.
This effort increases with the amount of time it takes for the agents to respond each time, and whether support even responds at all the first time a shopper reaches out. These high-effort experiences ignore the customers’ needs, which drives disloyalty and can make a big impact on revenue long term.
Self-serve resources or automated responses can get people an immediate response, which means a lot less effort for them, and takes the burden off of your team.

"We realize the impact of building relationships and trust with our customers,” says Caela Castillo, the Director of Customer Experience at jewelry shop Jaxxon. “Quick Response Flows help us do that by allowing us to provide a customer experience that meets expectations and drives lifetime value (LTV) up per customer."
Other options include using a centralized system that shows a customer’s information all in one place, eliminating the need for timely back and forth.
Customer feedback is valuable data collection for your customer service team. It can help you provide more personalized support based on the information you get.
All you have to do is make it easy for your customers to provide feedback, and take action on the notes you do receive, especially if they cite negative experiences.
A quick way to ask for feedback is to send an email survey that takes less than 2 minutes to fill out. A simple star rating on the experience and comment box should be enough to give you some valuable insight into where you can improve.
📚Recommended reading: Our Director of Support’s guide to collecting customer feedback from your helpdesk.
Prioritize customer service requests to provide faster, more bespoke service to VIP customers. With customer acquisition becoming more costly and time consuming, keeping existing, loyal customers around can produce more revenue for your business overall.
These customers, especially those with a high lifetime value, should get your most real-time support. Other high-priority conversations include very angry customers and time-sensitive requests.
A helpdesk can help you assign value to tickets, and bring the most urgent ones in front of agents so that they can treat them with high priority.

The four benefits of personalized customer service
98% of companies say that personalization increases customer loyalty and 83% of customers agree, according to a 2022 study by Twilio. Continue reading to understand why personalization is such a key aspect of delighting your customers, making it an undeniable best practice for customer support. A more personalized approach to customer support can help you:
Regardless of whether a customer’s chatting with human customer service agents or some automation tool like an artificial intelligence (AI) chatbot, nearly 70% of them want to receive personalized communications. Personalization starts with simple steps like including the customer’s first name in email correspondence. Because that’s how people communicate with each other — by name.
Fun fact: While people want personalized communication, they would rather have prompt, helpful customer service. 90% of customers expect a near-instant response to questions, according to a HubSpot survey.
The takeaway? Only use personalization if you can do some promptly.
📚 Recommended reading: Our tips to improve customer service response times and resolution times.
Personalization matters for another crucial reason: It makes potential customers more likely to place an order. As many as 80% of respondents to an Epsilon/GBH survey indicated they were more likely to make a purchase after a personalized message than a non-personalized one.
For example, imagine a customer asks a video game distributor’s customer support team which game they should get for their child for Christmas. Without personalization, you’d either have to ask follow-up questions or provide a generic recommendation. With customer data, however, you might be able to:
This is just a short list of potential ways to personalize a message, but it’s clear that personalization offers the best customer experience and gives the customer a much shorter path to a confident purchase.
Joseph Piazza, Senior Customer Experience Manager at messenger bike bag brand Timbuk2 says it best: “Increased customer support should go hand in hand with revenue growth. We want to turn customer experience into a profit center.”
Learn how Timbuk2 raised overall revenue by 35% with Gorgias.
Personalized customer service greets your customers quickly and personally. It also reduces the time to problem resolution because your customer service agents have better information at the point of first contact.
Absolute Collagen saw firsthand how fast, personalized service can raise customer satisfaction (CSAT) to near-perfect levels (4.9/5), thanks to mitigating non-personalized “pre-determined, pre-scripted” responses:
When businesses improve their customer service efforts through personalization, they typically see an increase in brand loyalty. HubSpot found that 93% of customers were more likely to return as repeat customers at businesses they categorized as having an excellent customer service experience.
Customer retention doesn’t just lead to more repeat business. A loyal customer base also leaves reviews, refers new customers through word of mouth, and places larger orders than new customers. That’s why repeat customers generate 300% more revenue than first-time shoppers.
📈 Want to gauge the impact of your customer support? Read our take on the importance of customer service and check out our guide to customer service ROI.
Most businesses would agree that personalizing interactions is wise. But we all know from numerous personal encounters with airlines, warranty call centers, and maybe even healthcare providers that personalized customer service is far from universal. Many businesses have yet to find a way to successfully bring that personal touch, tailoring their efforts to the individual customer — especially at scale.
Local and small businesses tend to have an easier time offering personalized customer service because they have fewer customers. Think of a local coffee shop or boutique retail outlet that sees regular, repeat traffic: Staff at stores like these tend to learn their customers’ names and preferences and can offer a level of service that big-box stores can’t match.
Digital-first businesses and large ecommerce brands can’t develop these in-person relationships so they need an alternative approach to offer personalized experiences. Specifically, they need tech solutions that collect and use customer data. This means storing customer data in customer relationship management (CRM) software, surfacing that data throughout the customer journey, and implementing it in smart ways.
If you’re ready to offer personalized customer service, the right tools will help you get there. Gorgias empowers ecommerce businesses to deliver world-class personalized customer service and helpdesk services faster than ever, thanks to deep integrations with Shopify, Magento, and BigCommerce — plus dozens of other ecommerce tools — to put customer data front-and-center.
Book your demo to learn more about how Gorgias can transform your customer support into a revenue-generating machine.
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Ecommerce product categorization is an excellent way to streamline the online shopping process and optimize customer experience. But if your ecommerce company offers more than just niche products, then separating those products into different categories can be time-consuming — and your team's time is better spent on tasks that tie directly to revenue generation.
To help you organize your product listings to make it easy for customers to find the types of products they are looking for, let's take a look at everything you need to know about ecommerce product categorization.
Product categorization, also called product taxonomy, aims to create an organized and searchable shopping experience by breaking products down into intuitive categories and subcategories.

Product categorization isn't usually a concern for ecommerce stores that offer just a handful of products. But stores with large-scale catalogs of different products need a way of organizing them so that it's easy for customers to find what they need. Product categorization can also be strategic: Your product taxonomy can promote certain product types (e.g. “Accessories”), occasions (e.g. “Father’s Day”) boost average order value (e.g. “Best Sellers”), and more.

Today, the process of ecommerce product categorization is often done using machine learning and natural language processing (NLP). When fed with the right training data, these algorithms allow ecommerce platforms to categorize products based on their descriptions and customer behavior — without having to organize their catalog manually. We won’t go too in-depth into these advanced tools in this post, but will recommend additional tools and reading if this is the kind of information you’re looking for.
Overall, proper product classification and categorization create a better user experience — which, as we know, is mission-critical for any brand. Customers can easily find similar products, search for products using common keywords, and enjoy a more organized and streamlined shopping experience. Some of the top benefits of ecommerce product categorization include:
Create a path of least resistance for your customers. Better organized ecommerce sites make it as easy as possible for them to find what they’re looking for. When you can eliminate obstacles that might otherwise keep them from buying, you have a better chance at generating more sales.
Plus, effective product categorization can act as a kind of upselling or cross-selling strategy. If customers are looking for adorable earrings, for example, they’re more likely to buy two or three pairs if they see an entire category page full of great options.
If you have a search function on your store (and you should), then organizing and categorizing your store's products improves its functionality and accuracy.
Along with optimizing your website's search functionality, proper product categorization can help optimize your website for search engines like Google and boost its SEO. While the number of product searches that originate from search engines instead of marketplaces is shrinking as marketplaces like Amazon and eBay have come to dominate the ecommerce space, it still accounts for 19% of all product searches.
Breaking your products down into categories enables you to monitor which category pages get the most visits and which ones have the highest conversion rate instead of doing this for product pages alone. This provides additional data that you can use to generate more insights into customer behavior. If your ecommerce store uses Shopify, you can pull these metrics out of your Live View analytics:

Imagine walking into a department store to find products scattered randomly with no organization: dishware next to gardening supplies, cosmetics on the same shelf as cat food, sports equipment on the same aisle as canned goods. Organizing these products into categories helps users find what they’re looking for quickly or discover new products based on their interests or the occasion. For example, tech accessory brand has categories based around collections (on top of more standard categories), which could catch a browser’s eye and draw them onto a product page:

If you want to organize and categorize your store's products in a way that will create an optimized shopping experience for your customers, here are the steps that you should follow:
Product data includes any information that can be used to organize your products: brand, material, size, color, and any other important product attributes. If you don’t have updated product information from which to source this data, you can request it from your suppliers.
Once you have gathered all available product data, a Product Information Management (PIM) system like Jasper PIM (available as a Shopify app) lets you organize and analyize product datasets automatically and provides a centralized environment for managing product data over time.

However, before you dive too deep into your data, take a step back and brainstorm some taxonomy structures that might work for your shoppers.
Creating a baseline for product categorization is pretty straightforward. Before diving into a teched-out process, put yourself in the shoes of the shopper and brainstorm ways But if you have a wide range of products for sale, it can get a little tricky. Here are a few tips for creating great product categories:
Putting carefully chosen keywords in your product descriptions and category pages can improve your store's product search functionality. It can also improve your site's SEO, bringing in more traffic from search engines.
You can find the best keywords for your store using keyword research tools like SEMRush, Google Keyword Planner, and Ahrefs. These tools let you see the search volume for common keywords and provide keyword suggestions based on your input.
Based on our analysis of data from 10,000 ecommerce merchants, sorting your product categories based on user behavior (like past purchases) using tools like Crossing Minds and Wiser can increase revenue by up to 10%.
Here are a few examples:
Merchology, a corporate apparel brand, uses customer data to create “Gifts” and “Ideas” categories for products that are commonly purchased for specific reasons. They sort by user behavior by categorizing products into “Top 10s” for many occasions:

Similarly, Adika has a category called “Best Sellers” to promote its products with the highest conversion rates:

Categorizing your products based on user behavior is an excellent strategy, but user behavior sometimes changes over time. Therefore, don't be afraid to adjust and rearrange your product categories over time based on what your metrics tell you.
On top of your standard categories, you can also include “facets,” which operate more like tags that categories. Facets are details about a product that may not be in the product title or significant enough to be its own category. For example, the cut of or material of a dress:

Facets act like keywords to give your shoppers another way to browse your store and find the exact kind of item they want. As your store grows (and your products change), keeping up with facets — especially because it’s difficult to anticipate all the ways customers might go about searching for products.
As you scale your categorization efforts, it’s also important to be careful not to overcomplicate your store’s navigation. New products may require new categories, but it may also become necessary to combine and condense some categories to avoid overwhelming your shoppers.
Product Information Management (PIM) systems, which we mentioned earlier, will also likely offer automation and other features to manage product data and keep your store up to date. For example, you can use your PIM as a single source of truth for listings across your ecommerce platform (Shopify, BigCommerce, Magento, etc.) and marketplaces like Amazon and eBay. That way, you can iterate on product descriptions and categories in one place, rather than changing them in the backend of each platform.
As you go about organizing and categorizing your ecommerce products, here are a few best practices to keep in mind:
You don't want to show products to customers who can't purchase them. If you don't ship certain products to certain states or countries, then you will need to categorize your products based on geo locations using a product like Advanced Store Localization or Geo Targetly.
Shakti is one Gorgias customer that uses Advanced Store Localization to adjust their product categories based on the customer's location. Because Shakti doesn't ship all of its products to all countries, they use the tool to hide certain products from viewers in those countries.

Instead of creating an “other” category (which will only confuse your shoppers) simply put products into the category where they fit most naturally. Use keywords to ensure that customers can easily find them — even if it isn’t all that clear which category they should search.
Having products appear in multiple categories often makes for a confusing product catalog that is difficult to navigate. Instead, keep products limited to a single category at a time. While this can sometimes be a little tricky for products that could fit in multiple categories, assign the one that fits best and use keywords within the product description to make up the difference.
The only exception to this is special categories, like Best Sellers, Valentine’s Days, Last Chance, etc. These categories aren’t based on product or customer types, so overlap won’t be confusing.
Keep your product categories as simple as possible to avoid overlap and confusion. For example, having an "athletic apparel" category and a "sports apparel" category is redundant and unnecessary — choose one or the other. There's no benefit to having a larger number of categories, so don't feel the need to force them if they don't already cluster naturally.
But branding doesn’t just apply to color schemes and company logos: It’s your messaging, too, so keep it in mind when developing your product categories and product descriptions.
Categories and descriptions need to communicate key product information above all else, so be sure that you aren't sacrificing clarity for the sake of branding. Include the basics (color, dimensions, materials, size, and any other relevant descriptive information) and use simple, jargon-free language. ASOS product descriptions do this particularly well, balancing their conversational writing style with clear, useful keywords.

Ninety-three percent of marketers agree that interactive content like product quizzes are effective at helping educate customers. Product quizzes designed to identify a customer's tastes or needs can be great tools for further helping customers find what they're looking for.
Dr. Squatch is one example of an ecommerce company that uses these quizzes effectively. If you want to create your own branded product quizzes, consider using a tool like the Product Recommendation Quiz app.

Large catalogs of ecommerce products are typically separated into different categories and subcategories to build a hierarchical category tree. For a pair of women's sneakers, the level-categories might look like: Clothing & Apparel > Women's Footwear > Women's Sneakers.
After separating products into different categories and subcategories, you can further break them down with product attributes and facets.
Going back to our last example, the pair of women's sneakers might be assigned product attributes like size and color. You can then assign values to those attributes (7, 8, or 9 for the attribute "size," and red, white, and black for the attribute "color").
Jaxxon’s online store, which sells mens jewelry, is one example of a great category tree. There you will find numerous product categories, subcategories for each, and attributes that allow customers to filter their search further. For example, Rings breaks down further into Best-Selling Rings, Tungsten Rings, Iced Out Rings, and Wedding Bands:

With the right tools and strategy, you can create a categorization system optimized for customer happiness and revenue generation.
With Gorgias' industry-leading customer insight tools, you can fine-tune your ecommerce store to give your shoppers exactly what they want. On top of product categorization, you can provide self-service resources like FAQ pages, Help Centers, and automated Quick Response Flows so customers have more answers, faster.
Providing instant, self-service answers to customers is how customers like Loop Earplugs lift revenue by up to 43%:
“We’ve seen 43% increase in revenue from customer support since we launched pre-sales flows. Quick response flows give us the ability to build trust with our customers and that’s priceless. When customers get a quick and honest answer, they often end up buying more than one product in a short span of time. Seeing customers live the life we’re aiming to create for them in Loop Earplugs is extremely rewarding for us.”
- Milan Vanmarcke, Customer Service Manager at Loop Earplugs
Get started with Gorgias to get on track to an organized ecommerce store that converts more shoppers into buyers.
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Handling returns isn’t the most enjoyable aspect of running an online store. However, every ecommerce business needs to create a clear, thoughtful return policy and keep customer satisfaction and customer loyalty levels high.
Want to create a returns process that’s ideal for both your ecommerce website and customers? Below, we’ll explore ecommerce returns data and factors to consider as you build or re-examine your policy, and then go over 10 best practices for handling customer returns.
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Although every ecommerce website deals with returns, return policies look very different from one site to another. Some businesses choose to offer a full refund on online returns, while others offer store credit in exchange for returned products. Some businesses provide free return shipping on product returns, while others pass shipping costs to customers.
Ultimately, a good return program fulfills the goals of your company without being too costly to operate or too difficult for your customers to find, understand, or use.
Enterprises and large businesses are more likely to offer free, no-questions-asked returns as a means of brand-building and promoting a better customer experience at scale. It may also be more profitable and productive than operating a stricter or more complex program. Customer service teams save significant time, which is key with a larger customer base and inventory volume.
Smaller businesses, by contrast, may benefit from a less generous program. According to data from CNBC, the average return represents 30% of the purchase price. For businesses operating on tight margins, this cost may be too much to swallow. Instead, many smaller businesses choose to offer stricter return policies, such as charging for shipping or only offering store credit.
Of course, there are downsides to stricter return policies. Namely, many customers expect hassle-free returns, and 79% of consumers want free return shipping. If you choose to implement a stricter ecommerce return policy for your online store, maintaining customer satisfaction and a high customer retention rate may be more of a challenge.
In the end, there's no one-size-fits-all return program. You’ll need to crunch the numbers and take into account how much each aspect of your policy could impact your bottom line. We’ll examine some of these costs in the next section.
Once this is done, enter the details into our return or refund policy template generator and edit your new policy as needed.
Let's take a closer look at the most important factors to consider when it comes time to create or update your store's return policy.
According to The National Retail Federation (NRF), ecommerce returns are a “major driver of the overall growth of [retail] returns.” Online returns more than doubled from 2019 to 2020, with consumers returning nearly $102 billion in merchandise bought online.
Although the COVID-19 pandemic and rise of online shopping can explain some of the increase, ecommerce returns have been rising for years. There are four main categories of return-related expenses that combine to make up the high cost of ecommerce returns:
If you’re looking for fresh ideas to reduce the cost of returns and exchanges, read our blog to learn how gift cards and loyalty points could be key.
According to data from Invesp, 30% of all products ordered online are returned, compared to only 8.89% of products that are purchased from a physical store. Here’s a snapshot of retail return rates by industry (online and in-store) from an NRF and Appriss Retail analysis of 40,000 stores:

As you can see, the data varies widely by industry, among other factors. A good general benchmark for ecommerce returns is 20-30%. The important takeaway here is that if your return rates are much higher than these averages, there may be issues you need to address.
Here are the leading reasons why customers say they return products according to Invesp:
There’s also the fact that 58% of consumers intentionally buy more items than they plan to keep. Customers are increasingly using return programs as an easy way to test out or try on ecommerce products, which leads to more returns overall.
Looking at these statistics, it’s evident that it's possible for ecommerce stores to drastically lower the number of returns with the right adjustments. By ensuring that you're shipping quality, undamaged products, providing detailed descriptions and images that perfectly match the product, and shipping the right product to the right customer, you could potentially reduce or eliminate up to 65% of all online returns.
Certain aspects of your store's return policy aren’t up to you to decide. According to the Federal Trade Commission (FTC), if a customer receives a defective product, you’re required by law to issue a refund.
There are also a variety of state laws governing how returns and refunds must be handled. The major requirement is that you have to post your return policy in a clear, conspicuous place, but some laws go further.
In Minnesota, for example, stores are required to display their return policy in a boldface font set at a minimum size of 14 points. If these standards aren’t met, the store is required to offer cash refunds for acceptable returned items, regardless of their policy.
Research your state’s or country’s laws or work with a lawyer while designing your ecommerce return policy to avoid legal issues.
According to data from Invesp, 67% of shoppers check a store's return page before making a purchase decision. Whatever your ecommerce return policy happens to be, you need to make it easy for customers to access, whether they’re on a mobile device or desktop.
Creating a dedicated return policy page on your website — and providing a link to this page on every product page — ensures your return policy is highly visible. You can also add it to your FAQ page and your chatbot scripts. Briefly informing customers of your return policy at checkout is another effective option to consider.
Product pages are the heart of any online store, and it’s essential that they provide customers with a complete and accurate description to reduce returns. As we noted earlier, nearly one-quarter of returns are due to products not meeting customers’ expectations or lacking key information in the first place.
Make sure your description includes size, dimensions, color, weight, care instructions, and any other relevant info. Beyond written text, you can show customers exactly what they’ll get with tools like interactive 360-degree images or videos. You can also provide your products next to other common items to give an idea of size and scale.
In addition to making your return policy easy for customers to find, it's also important to design a return policy that’s easy to skim and understand quickly. No customer wants to hunt through 20 pages of fine print to see whether there are return shipping fees.
Even if you decide to publish a lengthier, more complex policy somewhere on your website for legal purposes, you should still provide customers with a condensed version of your return policy. Think about the key bullet points like return shipping instructions, deadlines, and criteria they have to meet to qualify.
Making sure that customers fully understand your return policy before they make a purchase helps avoid confusion — and angry customer emails — later on.
When over two-thirds of shoppers pause to check out a store's return policy before buying, your policy may be their first accurate impression of your brand. So, a strict or unforgiving return policy could end up hurting your customer acquisition goals. It could scare away first-time customers that don't yet trust your business enough to purchase without knowing they’ll be able to easily return products if they’re dissatisfied.
By contrast, a transparent and thoughtful return policy can go a long way toward fostering trust with your customers and ultimately boost the number of new customers that your store acquires. Think about your buyer personas and acquisition goals to develop the right program. This can also inform your brand’s tone of voice throughout the policy.
A straightforward way to reduce the return and refund expenses is to offer an exchange-based return policy or promote alternative refund options like store credit via gift cards or loyalty points.
Although exchanges may come with reshelving fees, they keep the customer’s dollars circulating in your ecommerce store. Gift cards, for example, offer an opportunity to increase your customer’s average order value (AOV).
Imagine a customer with a $25 gift card. They want to use the full value of their card in one transaction, so they buy something slightly more expensive, like a $26.50 sweater. With that, you’ve raised AOV by 6% on a simple credit-based return, and you can scale this up across your business for hundreds or thousands more per year.
We mentioned earlier that 79% of consumers value free return shipping when making a purchasing decision. Nearly half of online retailers currently offer this no-cost option. While it can be painful to absorb these costs, offering free return shipping is important if you want to meet customer expectations and keep up with the competition. If you're looking for ways to reduce your return expenses, requiring that customers cover return shipping should likely be a last resort. Another option is to set a threshold for free shipping, such as a $40 pre-tax order value.
Tracking the costs of your returns can also allow you to make informed decisions around your return process, from hiring more customer service team members to trying different shipping carriers. This figure should be estimated before your policy is implemented and re-evaluated on a regular basis afterward when you have real data to crunch.
By carefully tracking the cost of your returns, you can determine whether you need to make adjustments. For example, if you determine that your return policy is eating up too much of your store's profits, you may test a shorter return window or store credit options. Or you may determine that a reverse logistics process could streamline work and lower costs as well.
Customers love a convenient, hassle-free returns process, and if that’s something you offer, you can use it to promote your brand and earn a reputational boost.
Consider Amazon’s return policy. Customers shopping on Amazon know that they have the option to return products — no questions asked — for a full refund. The peace of mind that comes with this guarantee is a big part of why Amazon has been able to build such a high degree of trust with its customers. It should come as no surprise then that Amazon actively promotes the benefits of its return policy to attract potential customers.
If your business boasts a generous, transparent, or stress-free return program, let your customers know about it. This could be an incredibly effective email or social media message during shopping-heavy periods like Black Friday and Cyber Monday.
If you have an online store as well as a brick-and-mortar store, you'll want to make it possible for customers to return products by either shipping them to you or bringing them to your physical location.
The reasons why this is beneficial are twofold. For one, offering customers more return options will only help improve your customer satisfaction rates. Convenience is top of mind for online shoppers. Second, returns processed in-store are less costly than returns that are processed online since you don't have to pay for return shipping.
The right ecommerce return software can go a long way toward making your return process more efficient and affordable. Here are some of the top-rated tools:
For more recommendations, check out our list of the top returns management software.
If you’re ready to build an efficient and effective returns process for your online store — that’s also backed by the latest returns software — Gorgias can help.
Our platform streamlines your returns process, integrating return software solutions like Loop, Returnly, and ReturnLogic and empowering you to offer top-quality customer service from a single, convenient hub. We also provide detailed developer documentation to build your own Gorgias integrations.
To learn more about how Gorgias can help you create a returns process that leverages the power of automation and in-depth analytics, book a demo today.

When customers reach out to your support team, they expect their problems addressed promptly and accurately. Providing an effortless experience for your customers is one of the best ways to nail customer support — it may be the difference between keeping that customer for years and never seeing them again.
The best customer service agents can solve issues quickly and provide high-quality, personalized customer support without delay. But since many issues crop up repeatedly, written and call center scripts are a smart way to empower agents when they're dealing with frustrated or angry customers.
Not all customer service interactions can (or should be) scripted. But by developing scripts for your most repetitive questions you can give more time and attention to complex and high-impact tickets that need a human touch.
Below, we put together customer service scripts for 29 common scenarios, inspired by top ecommerce brands that use Gorgias, like Steve Madden, Timbuk2, and Vinter’s Daughter.
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Customer service scripts are pre-written answers to questions that customers commonly ask. By proactively writing out answers, or creating scripts, companies prepare team members with thorough, correct answers, thereby helping them build strong problem-solving skills. This creates a more helpful, supportive experience than expecting customer service reps to think of good answers on the fly, especially if they’re dealing with frustrated customers.
Scripts can be useful at any point in the customer interaction, however, they’re particularly useful during situations that recur often: calming angry customers, directing customers to resources like your returns policy, and answering frequently asked questions just to name a few. These are responses that will change very little from one customer to the next, so using a script can save time and provide a consistent customer service experience.
Customer service scripts can live in an internal knowledge base or standalone document library. However, scripts are most helpful when they’re integrated into your helpdesk or customer service platform. This way, your customer service agents can pull up, populate, and modify scripts without any copy/pasting or tab switching — no matter which customer support channel they’re using, from social media and email to live chat and SMS.
Related: Read our guide on omnichannel customer service to learn how to unite all these channels.
On Gorgias, scripts are called Macros and include variables that automatically populate with customer information, like the customer’s name, order number, and more:
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Customer service scripts are a highly effective way of keeping your team members on the same page and providing quick resolutions for customer issues. However, you do need to take some time upfront to create different scripts that specifically address common issues and questions. Otherwise, they won't be valuable or hit the mark.
Below, we’ve categorized several common potential customer service issues and provided several sample scripts for each one. Feel free to use them as inspiration as you create your own templates, but remember to adjust the language to fit your branding — no two companies have the exact same style.
These scripts deal with lost or slow shipments, questions about shipping costs, and needing to change the shipping date after an order has been placed.
Hello! Thanks for reaching out! Here is the link that you can use to track your shipment: [support agent pastes tracking number for last order]. Alternatively, we have also sent a follow-up email with your tracking information. Look for the subject line, “Your order has shipped!”
We are here if you need more information!
Using a customer helpdesk connected to your ecommerce platform, you could insert customer variables like the last order ID and tracking URL dynamically into your answer. Here is what could look like the previous template:
Hello! We are happy to help! Your tracking number is {{Tracking number of last order}}, and I have also included a link to track your package below for your convenience: {{Tracking URL of last order}} For further questions regarding your shipment or anything else, please feel free to contact us!
We are terribly sorry about the delay in the shipment! Sometimes, the delivery is out of our hands and unfortunately we cannot speed things up. We do appreciate you and we are always transparent about any shortcomings from our side. For your convenience, we are sharing the tracking link {{Tracking URL of last order}}. Please let us know if there is anything else we can do for you!
To thank you for your patience, here’s a $10 coupon off your next order.
Thank you for reaching out! Our team is so sorry to hear that you were unable to locate the missing package. Rest assured we will remedy this situation for you.
We can offer two options: we can ship a replacement to you or a full refund for the order instead. In case you prefer a replacement order, we kindly ask that you please confirm the shipping address of where you would like the replacement order sent. We are looking forward to receiving your reply.
I understand that you want to change your shipping option so you can receive this order as quickly as possible. If this is correct, not a problem :) We just cancelled the order and can re-order the item with your desired shipping option. Please note that the additional cost is [$]. Let us know if there is anything else we can do for you!
Few things get under a customer's skin quicker than having trouble placing an order. Dealing with these customer interactions quickly and helpfully can be the difference between creating a loyal customer, or losing a first-time customer.
Thank you for reporting this! I will make sure this is addressed with our team. Would you mind letting me know which product you are purchasing so that we can help right away? Thank you :)
We are terribly sorry for this inconvenience. I can fix this right now for you. Would you mind sending us your order number so that we can change and remove incorrectly added items?
Hey there! I have just checked your order information, and since it was purchased within an allowable timeframe, we would be happy to make the requested changes. If you would like to fully cancel the order instead, just let us know and we can do that for you as well.
Thank you for your request! We are sorry to say that we are not able to process the change, since your order is currently on the way. If you are interested in returning your order, please follow the instructions from our page here, you will find all the needed details! We are sorry that we are not able to help more and we thank you for your understanding!
I understand that you didn’t receive an order confirmation. How long ago was the order placed?
Did you see a thank-you page screen after ordering? Thank you for the details provided, this will help us fix the issue fast!
Being able to use customer service scripts to address issues customers experience with your product mitigates the issue quickly and increases the chances you can keep customer satisfaction intact.
Thank you for reaching out and for the details you have provided! To process your return, would you mind clicking on “Get a return label” link here? Once this is done, we will continue processing your refund. If you have any other feedback regarding the product, we would be happy to hear it!
I understand you have concerns about some of the reviews you’ve seen. Our product isn’t a fit for everyone, but we have 2,000 positive reviews from customers who love it and we are always transparent and upfront! There are no risks, as we offer a full refund if you ship the unused portion back to us within 30 days.
I see you’ve got some questions about your product! We would be happy to help. Ask away.
We are terribly sorry for this inconvenience. We aim to provide the most excellent service and carry our business to high standards We try our best to make sure items reach you in perfect condition, but sometimes mistakes happen that are out of our reach. Please send the item back to us using a prepaid label, which you can print here: (link). We’ll ship you a replacement right away.
Thank you for understanding!
Requests for returns are one of the most common queries to come through customer service tickets. Customers often looking to bend the rules during the phone call or live chat session can pose a unique challenge to representatives who need to provide good service, but also follow company policies. Here are three must-have scripts for addressing tricky returns issues.
Thanks for contacting us! We allow returns up to 30 days from the purchase date for all items except clearance items. You can initiate your return and print a shipping label with our easy return portal here: (link)
Thank you for contacting us. Unfortunately, your order is outside the window of return. However, because it is only outside the window by a couple of days, I can allow you to return the item. Please confirm you’d still like to return it and I will email the prepaid shipping label. If we don’t receive the product within 10 days, we will not be able to accept your return.
Or...
Thank you for contacting us. Unfortunately, your order is unable to be returned because it is well outside of the time window (30 days) outlined in our return policy.
Thank you for reaching out! Let us provide a timeline here. We typically refund orders within 3 to 5 business days from receiving them. I can see that your package is expected to arrive tomorrow, so you should expect to receive your refund within 2 weeks.
Leveraging product integrations that work seamlessly with your customer service platforms can put the power of returns primarily into the customer’s hands. Gorgias’ Loop integration does exactly that, letting customers take control of their returns on their own time and giving them a better customer experience in the process.
The integration is valuable to your support team, too: Instead of spending time on return tickets, they can focus on new customers, shipping issues, etc.
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Staying friendly and accommodating during a customer service call can be difficult, depending on the customer's attitude. Customer service scripts keep your team members — especially new customer service agents — on track and focused on resolving the problem at hand.
Hi, thank you for contacting us. Regarding payment, we accept Visa, Mastercard, American Express, PayPal, and gift cards. Anything else we can help you with?
Yes, we do offer PayPal! Just select PayPal and you’ll be prompted to log in and choose your payment method through PayPal.
Thank you for reporting that. Like all platforms, unfortunately, PayPal has issues sometimes. Since this is a third-party app, we don’t have access to troubleshoot your account. Please ensure that your login information is correct and contact PayPal support with any issues. Alternatively, you can complete your order using a credit card or debit card. Let us know if there is anything else we can help you with!
Many ecommerce companies receive lots of questions about using gift cards. From checking its balance to troubleshooting why it’s not working, answering gift card questions is crucial to maintaining customer satisfaction and building brand loyalty.
Thanks for contacting us about your gift card balance. You can find that information by entering the gift card number here: (link)
Let me know if I can help you with anything else!
Gift card balances expire after 6 years and can be used for any purchase, including clearance items. For our full gift card policy, please visit this link: (link)
We will look right into that, thank you for reporting it. Would you kindly provide us with the gift card number?
Issues with using coupons can enrage even the calmest customer. You can avoid this problem by having friendly, helpful customer service scripts on hand to solve the most common problems that come up with coupon codes.
Not to worry, we will look into that immediately! It seems that the coupon doesn’t apply to your order. However, here’s a coupon for free shipping that you can use for orders over $50.
Unfortunately, coupon codes can’t be used together. Would you mind choosing one coupon code to use per order? If there is anything else needed please let us know!
There can be a lot of user account issues that can frustrate customers who are trying to log in, check order status, or initiate a return. Make sure that your customer service team is trained in requesting the additional information needed, such as their account number or order number, to troubleshoot the issue. The following three scripts can help address common customer requests regarding user accounts.
Not a problem, we can definitely help with that. Can you please use the “forgot username” or “forgot password” buttons here? (login link)
I understand that the order isn’t showing up in your account. Please note that it can take up to 30 minutes for the order to show on your account. Would you mind confirming that this timeframe has passed since you placed the order? Thank you.
We are terribly sorry for this inconvenience. Would you mind sharing a bit more details about the issue you have experienced so that we can fix that for you?
When customers discover issues on your site, use the right words to show your appreciation. Check out these quick scripts to use when a customer discovers a bug or issue on your website or ecommerce store.
Great catch! Thank you for reporting it. Our development team will fix it ASAP. Can I help you with anything else?
I’m sorry about that! I can see what you mean — that is confusing and could be improved. We appreciate you taking the time to let us know about this issue. Our development team will fix it ASAP. Can I help you with anything else?
As touched on above, customer service script templates help support agents address customer needs with consistent, uniform responses. They also help with customer service training and strengthen customer relationships. Beyond being an excellent way to mitigate customer issues with ease and consistency, customer service scripts offer the following benefits:
Make it easy for your customer service representatives to instantly access scripted responses inside of your ecommerce helpdesk. This reduces the time it takes to either craft a response from scratch or hunt for the template in a wiki.
You can further cut back on manual time by automating ecommerce customer service, which we’ll cover in more detail towards the end of this guide.
Providing great customer service can be stressful, even for senior support reps. They need tools like customer scripts to help them be prepared and stay on top of issues — fast. Instead of expecting your team members to formulate and articulate answers as they're dealing with impatient, frustrated, and difficult customers, scripts help them keep a cool head. Positive scripting reduces customer frustration and relieves stress on both sides as your team members work toward a resolution.
You don’t want one customer to have a great customer service experience and another customer to have a bad one. This inconsistency can reflect poorly on your brand: Customers won’t know what to expect when contacting you, and you’ll end up with some negative online reviews and social media comments.
Scripts help everyone — even new agents — follow company procedures and policies, and even adopt a standardized tone of voice.
Here are the four core ingredients to high-quality support:
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Related: Our best strategies for improving the quality of your customer service program.
Customer support positions are prone to twice the average rate of employee turnover. You can mitigate high employee turnover with faster onboarding. Get new customer service team members up to speed with ready-to-use scripts. Scripts reduce many of the customer problems that crop up during a team member’s first few days or weeks on the job, like “How do I answer this question?” and “What’s the protocol for this type of customer issue?”
However, scripts only help if your team uses them. An internal knowledge base is a great way to house your scripts so that your team members can easily access them when needed, whether they’re a new hire or an established employee.
Here are a few signals your customer service team may need some additional training and resources like customer service scripts:
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Related: Our Director of Support’s guide to training for customer service.
When your support team uses customer support script templates, they can resolve issues more quickly, leading to increased customer satisfaction and effortless customer experience.
It is always a good practice to incorporate articles from your knowledge base or FAQ into your scripts. For example, your scripts and FAQ page should both address common customer questions, like those about your shipping policy.
For example, men’s jewelry brand Jaxxon makes their shipping policy available as a Quick Response Flow (or an autoresponse) in their live chat widget and on their FAQ page. This way, shoppers have two methods of understanding the company’s shipping process without having to reach out to customer service:
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If your business doesn’t have an FAQ or knowledge base yet, consider adding one to your ecommerce store as an easy way to address customer questions and improve user experience. These resources can deflect repetitive tickets by giving customers self-service information with minimal (or even zero) direction from an agent. Find out more about how to set one up and take a look at some great FAQ pages in action.
Related: Our guide to reducing resolution time, with insights from our Director of Customer Support.
Automation is one of the best ways to build an efficient customer support team, and this includes prewritten live chat scripts. While leaning on technological functionality like automated responses saves time and effort while ensuring consistent quality, it also has the added benefit of providing much more step-by-step information for customers.
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For example, a scripted response to, “Where is my order?” still requires the agent to manually go look up the order and shipping details. But when utilizing technology like Gorgias’ Macros, that information can be automatically pulled from Shopify or BigCommerce and sent to the customer — in a templated format that’s consistent with your brand’s voice:
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The response is only the beginning. When you pair Macros with automated Rules, you can also trigger actions like assigning tickets to agents, prioritizing tickets, changing shipping addresses, refunding orders, and so much more:
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With a helpdesk for ecommerce like Gorgias, your entire team can access and use your library of templated customer service scripts (Macros) to accelerate and improve their responses.
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Gorgias also offers robust, intuitive customer service automation tools that are much more customer-friendly than most other platforms’ chatbots. Through Gorgias’ Automate, merchants don't even have to dig into Shopify data and send a scripted response — customers can find and change order details right within the chat box, no agent attention required:
Customer service scripts are priceless tools for your customer service agents. Using them effectively reduces response times, and helps with resolution time since your agents will have everything prepared for them upfront. This workflow keeps everyone satisfied: customers for getting fast resolution and agents for not having to type in the same response over and over again.
Gorgias’ deep integration with Shopify and other ecommerce platforms makes it easier than ever to set up Rules and Macros that empower your agents to work through repetitive tickets faster so they can focus on the most important customer conversations.
Check out our Loop Earplugs customer story to see how Gorgias helped Loop decrease WISMO (“where is my order”) tickets from 17% to 5% by providing self-service information, and increase revenue from CX by 43% using Gorgias Automate.
“We’ve seen 43% increase in revenue from customer support since we launched pre-sales flows. Quick response flows give us the ability to build trust with our customers and that’s priceless. When customers get a quick and honest answer, they often end up buying more than one product in a short span of time. Seeing customers live the life we’re aiming to create for them in Loop Earplugs is extremely rewarding for us.”
— Milan Vanmarcke, Customer Service Manager
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Quick summary:
Gross Merchandise Value (GMV) is a useful metric to monitor when running an ecommerce site. Traditionally, it’s one of the first numbers online merchants try to improve sales. It sounds simple enough: If you increase GMV, you’ll make more money, right?
Not so fast.
Like any single metric, GMV has its shortcomings, too. Below we’ll explain the right way to think about GMV and ways to increase GMV that can lead to more profit, not just more revenue.
Gross merchandise value measures the total value of goods sold on a platform or marketplace over a specific period of time. GMV is the full amount customers pay before deductions like fees, discounts, or returns.
GMV and revenue are not interchangeable. Revenue is what remains after subtracting deductions from the GMV.
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You can use the following formula to calculate GMV:
Gross merchandise value = sales price of goods x number of items sold
If you sell something for $100 through Etsy and Etsy takes a 10% commission, that’s $100 GMV for Etsy.
In terms of revenue, $90 of revenue is for you and $10 of revenue for Etsy.
If you sell something for $100 on your own website, your GMV and revenue are $100.
GMV provides insight into a platform's sales strength before considering deductions, but it doesn't reflect actual revenue or profit.
In this section, we'll examine the advantages, limitations, and risks of depending solely on GMV to evaluate your business' performance.
GMV is a versatile metric that can be used for more than just evaluating how profitable your business is. Here are the five benefits of using GMV:
Although GMV offers valuable insights, it falls short of capturing a complete financial overview of your business. Let's look at some drawbacks of relying on GMV alone.
The best way to use GMV is to complement it with other essential key performance indicators (KPIs). Here's how you can use GMV in tandem with other metrics:
If you’re looking for ways to improve GMV for your ecommerce website, here are four ways to do that.
Free shipping is a popular option for online shopping, where customers don’t have to pay for delivery. Free shipping is attractive to customers who are sensitive to price and prefer a simple pricing structure.
Here is a good example from Teddy Fresh:

Two different ways to offer free shipping to increase GMV:
🛒 Setting up an ecommerce store? Check out our list of the best Shopify themes.
Upselling is a strategy to sell a superior, more expensive version of a product that a customer already owns (or just bought). Meanwhile, cross-selling means selling related products to the one a customer already owns (or just bought).
To upsell products, you can offer larger sizes, adding more features, or increasing performance. For example, if a customer wants a 4GB graphics card, upsell them to 16GB with a limited-time discount and a slightly higher price than their previous choice.
For cross-sell, you can add a “frequently bought with this item” or “who bought this bought this” section on your product pages. Or promote accessories on the cart page as Cariuma does in the below example:

Product bundling is when you package complimentary products as a group of items that can be purchased together at a discount or a lower price than when purchased separately.
You can bundle products together as an upsell or a cross-sell. Alternatively, you can create a unique product bundle, either in a gift box or special wrapping.
Winc is just one example of an online store that has capitalized on an opportunity for product education and curation with subscription boxes. The brand uses a quiz to help customers determine the right bottle of wine that satisfies their tastes. Then, offer curated boxes of items that meet their preferences.

When you have a lot of slow-moving inventory products, it’s a great idea to bundle them with popular items. Doing that will help freshen up your old or overstocked inventory and increase sales.
By offering bundles, you can also make customers feel that they got a good deal — even though they’ve likely spent more than they planned to.
Setting up your Shopify store? See our list of the best Shopify apps for ecommerce merchants.
Bulk discount (also known as bulk pricing or volume discount) is a sales strategy that encourages customers to purchase more and with higher quantities at a lower price. This is particularly useful if you’re selling items that are typically bought in bulk.
Note that you can also use free gifts or free products to incentivize customers who spend more on your store. Cotopaxi did a great job of using this tactic. This store offers customers free masks if they spend beyond a certain threshold.

Approximately 95% of customers say that customer service is important to their choice of and loyalty to a brand. And 80% of customers consider the experience a company provides as important as its products.
These are just a few of many key customer service statistics, but enough to prove that an excellent customer service experience impacts your bottom line.
When you take time to answer customers’ questions on social media and live chat, you build trust with them and make them feel safe to buy from you.
When you’re proactive in reducing returns, you have a chance to turn them into new sales. Your customer might be satisfied with an exchange instead of asking for a refund.
That strengthens your brand confidence and encourages customers to come back to your store.
After all, retaining an existing customer is five times cheaper than finding a new one. By delivering exceptional customer service, you give your customers a convincing reason to stay with your business forever.
GMV is helpful if you’re selling on marketplaces like Etsy, Amazon, or Alibaba. But as said earlier, you shouldn’t focus too much on improving GMV. There are more important ecommerce KPIs you should follow to measure how your store performs.
Also, it’s one thing to increase GMV; it’s another thing to maintain excellent customer service when you have more orders. Take care of your customers first to create an incredible shopping experience for them, and you’ll improve your bottom line sooner or later.
If you’re looking for a solution to help you handle a flood of customer requests, let Gorgias lend you a hand.
Sign up for a Gorgias account and enjoy all the features you need in an ecommerce help desk in a 7-day free trial.
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