

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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As a manager of customer experience and retention, I've seen my fair share of customer service challenges. I even co-host the Oopsie Podcast, where we chat with leaders in DTC about their biggest on-job mistakes.
While the occasional error is inevitable, these random blunders don’t determine the quality of your company’s customer support. It’s really about how you address not only these one-off situations but also the bigger challenges that customer service teams face, day in and day out.
In this article, I'll talk through 12 of the most common pitfalls plaguing growing support teams, and give actionable advice to resolve each one.
With some awareness of these challenges, and the right systems to solve them, you’ll set your team up for success and give your customers the A+ experience that keeps them coming back.
Striking the right balance of staffing and skills for a customer service team is tricky. Under-resourcing leads to agent burnout, but overstaffing drives up costs and causes even bigger problems.
Use the strategies ahead to better allocate your company resources, increase the productivity of your team, and maintain consistent service quality (without going over budget).
Let’s bring it back to basics for a moment: a customer support agent’s job is to answer questions and address customers’ problems, along with maintaining incredible feedback loops. However, too many teams strictly focus on clearing the ticket queue, measuring the impact of their support teams with non-business metrics like response and resolution times.
Of course, these customer support metrics are important. But they’re only pieces of the larger picture of your team’s impact on the business.
Another common pitfall? Aiming for overly broad goals of “surprising and delighting” customers without a real understanding of how support impacts the whole customer journey or business ROI.
The reality is that customer experience (largely driven by the support team) has many touch points across the entire customer journey (from pre-sales to post-sales) that lead to more sales and customer loyalty.
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It’s important for your customer service team to proactively measure and prove ROI. Without knowing how much money your customer experience (CX) drives, you’ll never:
If you only measure first response time and average handle time, you're only seeing whether your agents are good at answering tickets. Not whether they’re boosting revenue.
Expand your KPIs and reporting dashboard to track customer retention rate (CRR), customer satisfaction (CSAT) score, and conversion rate from customer service conversations.
If those are your base measurements, you'll incentivize support team members to act more as sales agents by reaching out to customers proactively to suggest products. This encourages happy customers to leave product reviews and other tactics that boost revenue.
And if you use Gorgias, like my team at Chomps, you can focus on CX-driven revenue even more with this Revenue Statistics dashboard:
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As your business gets bigger, it’s tougher to build a team that provides high quality customer support.
Growing a team? Easy, lots of people are looking for jobs. But scaling with the right people? That’s another challenge entirely. If you hire low-quality agents and provide poor training, your team’s morale, performance, and ROI will begin to snowball:
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Hiring skilled customer service reps — that you compensate competitively — is the first key to solving this challenge. People often view customer service as a junior, anyone-can-do-it kind of role. That’s just not the case.
Especially in ecommerce, customer support has a huge impact on revenue. Between pre-sales support and post-sales conversations that drive loyalty, it makes much more sense to hire support reps as though they are sales associates. Because, in many ways, they are.
Once you hire an all-star team, choosing a customer support platform that includes built-in product training (like Gorgias Academy) can improve your onboarding process. Base your training on real data about your support team’s performance to help you focus your training on the areas that matter most.
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Check out this ultimate guide to customer service hiring for a step-by-step process that attracts strategic, empathetic, and business-minded agents.
For all the excitement of shopping events like Black Friday and Cyber Monday, there’s also a bit of pre-holiday scaries. Record sales also mean record tickets and record returns. It’s a great season, but an incredibly busy one.
The challenge is keeping up with a high degree of tickets without losing the fast responses and helpful, customer-centric approach.
The best way to keep up with tickets (and preserve enough energy to nail the most challenging tickets) is to lean on self-service in your chat widget.
Self-service is a bit like a chatbot, but set up for customer success (rather than customer irritation). While chatbots try and imitate people, self-service provides simple functionality and workflows to answer common questions, track orders, request returns, and more.
Watch this video to understand a bit more about what self-service from Gorgias’ Automate can do for your brand:
If you still struggle to meet demand during busy seasons, even with the help of automation, think about how you can engage your larger team, beyond even CX, to help.
I always talk about how everyone at Chomps is trained on Gorgias (whether they work in CX or not) so that if we have a temporary increase of tickets, we can ask anyone in the company to step in and help out. We love the feature that Gorgias allows unlimited seats that allows this to be possible unlike other helpdesk platforms.
Another option to consider are services such as Simplr which provide remote support agents on demand.
Customer service teams are deeply empathetic, wanting to create the best experience possible for every customer. Unfortunately, this can be a double-edged sword. Even if 99% of customers are patient and understanding, it's hard not to dwell on the 1% who are rude or impatient. The frustrated customer messages and the social media callouts take an emotional toll over time, leading to burnout and turnover.
When good reps leave due to unrelenting pressure, it creates gaps in knowledge and relationships that weaken customer service overall. The long-term effects can ripple through an organization, affecting morale, team cohesion, and the reputation of your customer service department.
The key is being proactive in supporting your team, not reactive. If a rep tells you they need help, it's often too late — the stress has already set in. Instead, provide a range of resources ahead of time.
Being proactive with resources shows your team you care, prevents disengagement, and ultimately provides better customer experiences. Supporting your team’s well-being strengthens service quality across the board.
New technologies can improve how your customer service teams operate, giving customers a better overall experience. But there’s always the whole "how the heck do we use this?" phase. offering innovative solutions to better processes and elevate customer experiences.
Balancing the excitement of modernization with the hurdles of integration is a common challenge that teams grapple with.
Many companies fall into the trap of investing in customer service tools that promise to do it all — from automated chatbots to crowded helpdesks. But trying to be everything for everyone often leads these generalized tools to frustrate customers more than help them.
A general chatbot, programmed to answer a broad range of queries, can misinterpret nuanced or specific questions, leading to inaccurate responses. Instead of guiding the customer towards a solution, it becomes an obstacle, prolonging the resolution process and frustrating customers more. Without customization, the promise of convenience is overshadowed by the bot's lack of specialized knowledge and inability to provide personalized customer service.
Rather than investing in generic tools that promise to do it all, carefully evaluate solutions purpose-built for your business’s specific needs. For ecommerce, this means identifying where automation can step in to handle high-volume repetitive inquiries like order tracking and refunds. Investing in tools designed to deflect these common questions frees your team to focus on more complex issues that need a human touch.
My team uses Gorgias Order Management Flows for self-service order tracking and automated return/refund requests. Customers can quickly check their status, report issues, or start a cancellation without agent assistance. Not only does this resolve the most frequent customer questions instantly, but it also reduces ticket volume so our customer service reps can spend time building relationships through personalized service.
With the right tools to handle common inquiries in the background, your team is empowered to deliver exceptional human-centric experiences.
Customers jump between email, social, chat, and self-serve, expecting seamless support. A 2019 report from Salesforce found that 69% of customers want connected experiences, anticipating that the customer service representative they interact with across various channels to have the same information.
Yet, delivering omnichannel customer service across all platforms isn’t easy. Siloed experiences across channels frustrate customers and complicate agent workflows.
An omnichannel helpdesk, like Gorgias, unifies customer service delivery across platforms. Instead of toggling between disconnected inboxes, agents handle all queries from one tool. Customers receive quick, consistent assistance whether they email, chat, SMS, or reach out on social media.
Making use of omnichannel communication comes with a slew of benefits:
With a unified helpdesk, interactions build loyalty rather than frustration. The simplicity of managing all touchpoints from a single window creates seamless customer and agent experiences.
Well-informed, knowledgeable agents provide better service. From inconsistent rep expertise to keeping docs updated, knowledge-related challenges impact customer satisfaction.
If a customer calls your company and doesn't get the answer to their question, they won’t leave the interaction feeling good about your brand.
Of course, customer service reps can't know the answer to every question off the top of their head. If your team doesn’t have the correct answers, often it’s a leadership issue. This makes it essential to provide your reps with all the resources they need to address each customer’s needs — fast.
Lean on a knowledge base videos, and other resources that your customer support staff can use to find answers to common questions. It’s different from an external help center or customer-facing knowledge base and more extensive than an FAQ page. Your knowledge base can be an easy reference tool for agents whenever they need to double-check a customer service policy or product.
You can also program that knowledge directly into your helpdesk. Gorgias allows brands to create templated Macros that are easy to use and customize as needed. You can create templates for common questions and issues, building an internal knowledge base for your agents to pull directly into customer tickets.
Here’s an example from our Macros at Chomps, for a technical question that agents might not know off the top of their heads:
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This way, customers get consistent, accurate information, and agents don’t have to guess or dig for an answer.
That said, when it comes to instilling product and policy knowledge, nothing replaces your onboarding and training process. I recommend spending these sessions to educate your reps on the following:
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Sometimes support tickets need a higher-up to step in and sort them out. If your company doesn't have clear steps for bumping these tickets up, some might slip through the cracks.
This leads to angry customers who feel your company isn’t interested in fixing their problem.
Creating policies for escalating support tickets is the obvious place to start in addressing this challenge, but it's also helpful to automate ticket escalation to ensure that no ticket (or customer) gets left behind.
With Gorgias’ Rules, support agents can automatically transfer a ticket to another agent or team without having to manually collect customer information and reassign the ticket.
Gorgias also allows you to create rules for escalating tickets automatically, such as a rule for automatically escalating tickets when the platform's Sentiment Detection feature detects that a customer is angry.
Here’s an example of a Rule that uses Sentiment Detection to flag tickets where someone may leave a bad review:
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Every chat with a customer matters for keeping them happy and loyal to your brand. The tough part? Calming down heated chats, juggling multiple questions at once, and giving that personal touch even when you're swamped. The way agents handle each chat really shapes how the customer feels.
Dealing with angry customers is a part of the job that very few support agents enjoy.
However, empathizing and working with customers, no matter how upset they are, is just part of good customer service.
Angry customers who eventually calm down are potential customers who might return to your company — they are also less likely to leave negative reviews that could damage your brand image.
Most blog posts claim the best way to deal with an angry customer is to practice patience and empathy, maybe with a pre-written script. And if you want that kind of advice, check out this blog post with an example script for how to deal with an angry customer.
But let's look closer at the root of most customers' anger: The shopping experience didn't happen like they thought it would. The best way to mitigate that anger is to lean into proactive customer support:
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For example, develop a great post-purchase experience to avoid customer anger. Send customers a detailed order confirmation, clear step-by-step information about when their product will be shipped, and how to track their order.
If you’re not sure where to start, listen to your customers. This guide to collecting customer feedback explains how to take insights from customer support tickets.
If you want any hope of achieving industry standards for metrics like first response time and resolution time, your customer support reps need to be able to work with multiple customers in real-time, across communication channels (like live chat and social media).
This is one of the more challenging aspects of the job for small teams. Thankfully, it is also something that the right customer service software can go a long way toward helping your customer service agents achieve.
If you aren’t already, consider using a helpdesk to manage customer conversations across all channels. A helpdesk pulls these conversations into one centralized inbox so your team can offer omnichannel service — a fancy way of saying offering support to customers on all channels without having to switch between tabs.
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Once your helpdesk is up and running, direct your customers away from calling your support line and towards your Contact Us page.
I recommend funneling as much traffic to a Contact Us page as possible because we have Rules set up based on the drop downs that the customer chooses. Those Rules organize the tickets into different views so that we can work based on urgency.
If they want to talk to an agent quickly, use channels like SMS or live chat.
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Delivering excellent service quickly is crucial, yet difficult. Customers expect fast, personalized responses and consistent experiences. Challenges include managing wait times, meeting service-level agreements (SLAs), and upholding quality across a growing customer base.
Customers want the same feel every time they chat with your brand, no matter which agent they get. But since each rep is different, you might find a mix of tones and messages. It's a bit of a balancing act to keep the brand voice consistent while letting agents be themselves.
Having a solid brand style guide keeps things consistent whenever you chat with customers. To create one, define your brand personality, voice, tone, and writing style. Provide guidelines and verbatim examples for everyday interactions like greetings, apologies, confirmations, and closings. Make sure the language aligns with your values.
Here’s how to put your brand style guide into action:
While most customer service teams need to start thinking beyond resolution times, they’re still a tentpole of your team’s performance — and one of the biggest customer service challenges.
Customers expect an immediate response to their questions. This is especially true of younger customers, with 71% of customers between 16 and 24 years old stating that a quick response to questions and issues can drastically improve their customer service experience.
When your team already has more tickets than it can handle, meeting these customer expectations can be a real challenge.
Yet again, the answer isn’t to work harder — it’s to work smarter. Rather than trying to answer every question as quickly as possible, set up self-service resources to deflect simple questions and build systems to prioritize the rest of your requests.
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I talked about self-service above, but to recap, here are a few easy-to-implement solutions worth considering:
Once you’ve deflected, it’s time to prioritize. While you could prioritize each ticket by hand (sometimes called manual ticket routing), a helpdesk like Gorgias can help you do this automatically. Here’s an example of automation in Gorgias, called a Rule, that will put any customer requests to cancel a recent order (before it ships) into a priority queue:
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That’s just one example. Read this full guide to customer service prioritization for more guidance.
The common customer service challenges we've explored aren't just annoying — they directly impact revenue and customer loyalty.
Companies need to take CX seriously (and invest accordingly) to boost retention. We all know I’m a Gorgias girlie. My team at Chomps uses Gorgias for support, and it helps us be fast, helpful, and strategic with our support
If you’re an ecommerce company that hasn’t checked out Gorgias, I really recommend giving it a shot. Most of the challenges are going to be extremely difficult to solve without the right tools. And for my money, Gorgias is the best tool for ecommerce support teams.
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A recent McKinsey survey asked customer service leaders about their top priorities in 2023. The most common answers were retaining top talent, driving efficiency to cut costs, and investing in artificial intelligence (AI) solutions. In other words, two of the top three priorities involve customer service automation.
In support, automation can be a scary word: Isn’t automated customer service a bad customer experience? Frustrating chatbots are indeed something to be wary of, customer support automation can actually greatly improve your customer experience while saving your team hours per week on tedious, repetitive tasks.
This is your one-stop-shop guide to customer service automation. We’ll start by sharing some examples of customer support automations that automatically answer customer queries. Then, we’ll move on to some customer support automations to help your support reps skip repetitive tasks and become more productive.
Customer service automation refers to using technology and software to handle customer interactions and other tasks without human effort. It's like having a virtual assistant that can quickly respond to common questions, process orders, solve simple customer issues, and anything else to make things easier and faster for both customers and businesses.
Customer service automation could include automated answers, ticket triage, ticket tagging, and so much more.
This first set of support automations gives customers an answer without any agent interaction.
Automatic responses (also called canned responses or Macros) are pre-written responses that get sent to the customer when certain conditions are met. You can send automatic responses for a variety of scenarios, including:
With the right customer service software, you can send these automated responses on every channel (email, live chat, SMS, WhatsApp, and social media).
In your customer service software, you can set up Rules (or automated workflows that fire when certain conditions are met). Tools like Gorgias use AI to scan each incoming ticket and — when the ticket meets the pre-determined conditions — execute the Rule.
Here’s an example from Berkey Filters of an automatic response to let customers know an agent is on their way:

And here’s an example of an automatic response for customers inquiring about the status of their order.

An AI chatbot responds to questions that customers ask in your live chat. Unlike automatic responses, which are pre-written by humans and fire when certain conditions are met, chatbots respond to every message.
The benefit is that AI chatbots can try to respond to any type of question. The drawback is that AI chatbots don’t always have helpful or relevant answers. This can lead to a confusing and frustrating experience for customers.
AI chatbots don’t require any setup; you just have to buy and install them. Some automated helpdesks come with a chatbot, while other helpdesks integrate with standalone chatbots. For example, Gorgias integrates with Siena AI.
Check out our list of the best customer service software to find the right solution for you.
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Knowledge bases and FAQ pages are libraries of pre-written questions and answers that customers can use for self-service.

Technically, knowledge bases and FAQ pages aren’t automated. They offer static content and don’t use any sort of advanced technology to help you skip tasks. However, they help you skip answering tickets by proactively giving customers information that would have otherwise become a customer support ticket.
To get started, you can simply create a page on your website with frequently-asked questions. Most likely, your website platform includes an FAQ page template — but here’s an FAQ page template, if you need one.
When you want to upgrade to a full-blown knowledge base, you can find plenty of standalone customer knowledge bases or use a customer support software with a built-in knowledge base.
For instance, Gorgias’s Help Center lets you host a searchable, categorized library of help content — plus, other self-service resources like Flows and self-service order management (both of which we’ll cover below).
📚 Want some examples of FAQ pages? Check out our list of examples of FAQ pages.
With a robust knowledge base, you want to make sure the most helpful gets discovered when shoppers need it most. One way to do this is to use AI to automatically send articles to customers who ask a questions that's covered by one in your knowledge base.
This is a great way to instantly answer customer questions with detailed answers — including images, videos, and other rich elements that you can add to your Help Center.

Gorgias's AI scans every incoming message. When it detects that an incoming live chat or email message could be answered by an article in your Help Center, it send the message to the customer. It also gives the customer a prompt — "Was this helpful?" — that lets customers get in touch with a human agent if they still have questions.
Here's an example of Gorgias's Article Recommendations on Parade's website:

Note: You can activate Gorgias Article Recommendations without making your Help Center public. You just need to create articles in the Gorgias Help Center (but not share them externally) and activate Article Recommendations. Gorgias will treat your un-published Help Cetner like a hidden library to send to customers when appropriate.
Self-service FAQs are buttons customers click to get instant, pre-written answers. Whereas, automatic responses require input from customers, self-service FAQs don’t require customers to type anything out — they just click a button for an answer.
Here’s an example of self-service FAQs from ALOHAS:

The easiest way to set up self-service FAQs is to use a helpdesk or live chat software.
In Gorgias, self-service FAQs are handled by a feature called Flows. Flows can even be interactive, prompting customers to share information (like their preferences or location) to give a more helpful, personalized answer. Here’s an example of Flows from VESSEL:

Flows give customers an easy, automatic answer to a lot of questions they would normally have. If we just had one response, we would link our FAQ page, but they don't always read that. Flows allow them to interact and get specific answers.
—Alisa Ogden, Sales Manager at VESSEL
For the average brand, “Where is my order?” (WISMO) is the most common question, accounting for 18% of incoming requests. And based on math from 12k Gorgias merchants, the cost of answering those tickets manually is $12/ticket.

You can offer self-service order tracking to empower customers to track their own orders. This is more convenient for customers, who don’t have to type out a message or wait for an answer. It’s also more streamlined for your support team, who now has to deal with 18% fewer tickets, and can focus on higher-value interactions.
Some chatbots can track the status of your order, but most have a hard time handling those kinds of requests accurately and with real-time data.
If you use Gorgias, you can use Order Management Flows (part of Automate) to let customers see the status of their order in real-time, in your site’s chat widget and Help Center:

📚 Want to learn more? Check out our complete guide to providing order tracking.
After questions about order status, the most common support questions are “Can I cancel my order?” and “Can I get a return?” Automating these return and cancellation requests can be a major time-saver for customer service teams.
Even if you don’t completely automate the returns process — some brands like to have a human approval process — you can automate the return request process. It’s much easier than getting an email that says “I need to return something,” and having to go back and forth to get all the details.
The best way to automate the returns process is to set up a self-service return portal with a tool like Loop Returns. Loop makes it easy for customers to log in, select a recent order, and return or exchange it — completely on their own.
Loop even gently urges customers toward a return, to protect your company’s revenue from expensive returns.

To automate the request process for returns and exchanges, you can use a tool like Gorgias. Gorgias Order Management Flows let customers request a return, request a cancellation, or report an issue with their order in an easy, structured way. They don’t have to type out a message — just log in and make a few clicks.
Here’s an example of Order Management Flows in Loop Earplug’s chat widget (they’re also available in the Help Center):

You can even integrate Loop and Gorgias to send customers to your return portal from your chat widget:

📚 Interested in improving your returns? Read our guide to reducing returns in ecommerce.
This second set of support automations doesn’t give automated answers; instead, it helps agents work faster, improving the efficiency and productivity of your team (giving them time to focus on human tasks).
Even if you send responses manually, you can use automation to help personalize the messages. Specifically, you can use variables that automatically pull customer information (like order numbers, addresses, and more) into the message.
This helps your customer service agents offer the most relevant, accurate information possible without forcing them to switch tabs and copy/paste the customer’s information.
📚 Read more: Get more tips to offer more helpful, personalized customer service.
Every customer support platform offers some version of variables to help you personalize support messages — even Gmail, if that’s what you’re using. However, the best solutions can pull from your other apps to broaden the scope of possible variables.
For example, Gorgias has 100+ ecommerce integrations so you can pull customer information from Shopify, marketing software, subscription software, shipping software, and more. This makes Gorgias a CRM of sorts: It gathers and stores customer data that you can use to personalize the interactions.
With Gorgias, these variables can even be used in automated responses (on top of responses your human agents send):

If each of your tickets need to be manually reviewed, you’re adding to your set of customer service challenges, and eating up tons of time. If a generalist agent receives every ticket and manually passes technical or escalated tickets to the right person, you’re delaying the resolution times for those key tickets.
Instead, you can set up automation that scans incoming tickets and automatically assigns tickets to specialized teams, like Level 2 team for complex issues or a team of Support Engineers for technical questions.
Most helpdesks include features to automatically assign tickets. To get started, you’ll need to set up assignment conditions. Helpdesks like Gorgias scan every incoming ticket to understand the tone and contents. Then, it can automatically assign tickets based on what it finds based on your set conditions.
You can get creative with these assignments. For example, you can assign:
Here’s an example of a Gorgias Rule that automatically assigns incoming live chat tickets to a dedicated team:

Just like assignments, ticket prioritization is another valuable automation. It can remove a manual step if you currently have someone triaging all incoming tickets. Plus, it can make your team more strategic and effective by ensuring you answer time-sensitive or high-value tickets before it’s too late.
For example, you can automatically prioritize pre-sales questions that come in on live chat — these kinds of questions often block sales for someone who’s actively shopping on your site.
You can prioritize incoming tickets in your helpdesk with Rules, or configurable automations. Just like ticket assignments, Rules fire off automations when a ticket meets certain criteria — including support channel, ticket intent, sentiment and tone, and hundreds of other factors.
Here’s an example of a Rule that prioritizes tickets about orders that were placed in the last two days:

The logic here is that you want to see tickets about recent orders in case someone needs to cancel or change their address — you can catch it before the order ships, saving on unnecessary shipping costs.
Want to get strategic with ticket prioritization? Read our Director of Support’s guide to prioritizing customer support requests.
If you offer voice support, interactive voice response (IVR) is an easy way to automatically route customers to the right agent and even answer some basic questions without talking to an agent at all.
Have you ever called a business and been told to press 1 for hours, 2 for electronics, and 3 for all other questions? That’s IVR. It saves agents and customers alike tons of time transferring calls and answering repetitive questions.
Most phone support systems include IVR — you just have to decide how you’ll map out your IVR automated system and set it up. Remember, IVR can automate two things:
If you use Gorgias support, you can set up IVR with voice recordings or text-to-speech:

When agents process tickets, giving a helpful answer is only part of the job. Another key element of support is tagging tickets. Tags help you:
If agents have to manually tag each ticket, you’re adding a time-consuming step to the process. More importantly, you’re opening yourself up to human error. If an agent rushes through their work and misses a few tags, this could skew your data and reporting and cause bigger issues down the line.
Luckily, automation never has an off day.
The right helpdesk tool scans incoming tickets and can tag them based on the ticket’s channel, contents, tone, and more. In Gorgias, this automated ticket tagging happens through Rules.
Here’s a Rule that automatically tags tickets as Urgent when they contain key words that indicate the customer accidentally made an error while ordering and needs to update the order before it ships.

You could use a similar approach to automatically tag tickets with customer feedback, shipping issues, product malfunctions, and so on.
Another helpful automation helps agents identify which messages don’t need attention.
If your email is publicly available, it’s only a matter of time before you’re added to spam marketing lists. For instance, if your email address is connected to Shopify, you’ll get automated emails for every payment notification. Agents don’t need to deal with these, and you can save time by using automation to clear them from the queue.
You can set up Rules in your helpdesk to automatically detect and close tickets that don’t need an agent’s attention.
Here’s an example of a Rule that targets payment notifications by identifying messages that contain words like “Payment received” or “You received a payment,” as well as messages from emails starting with “noreply@” or “donotreply@.”

Gorgias’s Automate also automatically closes all no-reply tickets. Thanks to Gorgias’s always-improving machine learning, you don’t have to set up a Rule.
Most customer service is reactive; answering incoming questions and resolving incoming issues. However, top brands know to offer robust proactive customer service. One way to do that is by reaching out to shoppers actively browsing your website.
With the right automation tools, you can automatically reach out to shoppers, targeting certain browsing behaviors and customer attributes (to ensure you reach the right person at the right time). These are called chat campaigns.

With Gorgias, you can easily set up chat campaigns to target visitors based on a wide variety of factors:

Once you set up the automation, you can write a message that lets the customer know you’re available to answer questions, reminds them of a promotion, offers a special incentive, and so much more.
If the customer replies, they’re connected with a live chat support agent and can get any additional information.
Why invest in automation? The main reason is to achieve more efficient customer service processes. But let’s drill down into some of the specific benefits.
Automated customer support has a 0-second response time — even the fastest agents could never respond to customer requests that quickly. While automation answers simple inquiries, your team is free to jump on complex issues.
While some brands think that automation ruins the customer journey, response and resolution times are one of the most important customer service metrics to boost customer satisfaction (CSAT).
For some issues — like complex or sensitive ones — a human touch goes a long way. But for repetitive, rote interactions, the “human touch” might mean forgetting a step or explaining something poorly. When automation is set up correctly, it never makes an error.
Research from McKinsey found that companies save 20-40% on customer service costs with an effective rollout of automation technology. While automation shouldn’t take jobs away from human agents, it can help businesses grow without burning out their agents or falling behind on tickets.
Your tool’s pricing may vary, but Gorgias’s Automate handles an average of 30% of all tickets, for 1/5 the cost of a customer service agent.
Your agents have better things to do than copy/paste order statuses. As automation handles more menial customer service tasks, your team can ensure they’re providing the best experience to higher-value customers and more complex issues.
Your business might not have the resources to staff a 24/7 support team, but by automating customer service — even the most basic functions — you can offer a layer of 24/7 support.
People have different communication styles and personalities. They can also make mistakes and cut corners. Onboarding reps may even give the wrong answer while trying to keep up.
Automation is an avenue for ensuring answers are on-brand and accurate. This helps give customers a consistent experience and also helps prevent newer staff members from making unnecessary mistakes.
Customers expect to reach you through a variety of channels, including email, social media, phone, SMS, and more. As your team explores an omnichannel support strategy, customer service tools with automation features can streamline your progress.
When automation is used in the wrong ways, it creates a terribly frustrating experience for customers.
AI chatbots are a great example: While they can answer some basic questions, they might also attempt to answer complex questions but return with inaccurate answers. If customers can’t easily get in touch with a human, they’ll leave your site.
The best course of action is to use automation that consistently improves specific parts of the customer experience. Avoid supposedly catch-all solutions. And always give people an easy way to contact a real person.
Automation — especially generative AI, which writes messages from scratch — can be stiff. Rather than rely on automation to draft messages to customers, consider using automation that triggers a pre-written message from humans (adding customer data where appropriate).
This grants you the benefits of automation while still ensuring the customer gets an on-brand, accurate, and human-sounding message.
If AI automation is responsible for managing too many customer interactions, it might not notice or take advantage of clear opportunities to upsell or cross-sell customers.
For example, if a customer claims their device dies too quickly, your chatbot might generate tips for them to make their battery last longer. A human agent might do that plus send a link to an upgraded device that lasts longer.
The best course of action, again, is to avoid over-relying on automation. Choose automation that’s really great at automating specific tasks, so human agents are still integrated into the process and can capitalize on these particular situations.
Automation, like any technology, is subject to the occasional glitch or downtime. While this shouldn’t scare you away from using automation, it’s a good reason to avoid over-relying on automation to complete all your customer service duties.
Automation is only helpful if it’s strategic and set up correctly. Here are some automation best practices to keep in mind:
Never trap your customers in automation (or chatbot) hell. Always offer a clear path to human support.
The most common example is in the chat widget. Even if a human isn’t immediately available, at least give customers a way to submit a message that your agents answer via email once they’re available.
If you use Gorgias, every automated interaction offers customers a clear path to talk to an agent. Here’s an example of this in action from Steve Madden:

Customers generally appreciate the speed and convenience of automation. But they get grumpy when they think they’re chatting with a human, and get an inaccurate, robotic response.
When you’re sending automated messages, consider labeling the message as Automated to be transparent with customers. In Gorgias, automated messages are labeled as automated, and you can choose an avatar that sends automated messages.
Here’s an example of this in action from Loop Earplugs:

One fear of automation is the robotic, inhuman tone of messages. But automation can actually help you personalize conversations more. The trick? Use on-brand, pre-written messages and introduce variables that automation fills in with customer data.
In Gorgias, you can use a wide variety of variables to populate the automated message with the customer’s name, shipping address, order status, estimated delivery date, and much more.

There’s no such thing as one-size-fits-all automation software. If you’re selling software or a subscription-based SaaS platform, you’ll likely need a different toolset than a vendor selling clothing or tea via an ecommerce website.
Daily interaction types are going to vary considerably. For instance, customer support at a clothing company will deal with sizing and out-of-stock issues or returns and exchanges. None of those needs apply to a B2B software company.
Rather than choosing automation that claims to work for each of these different use cases, choose automation custom-built for your unique needs.
Automation isn’t set-it-and-forget-it software. You should consistently review automated interactions and be prepared to tweak your automation software to ensure:
The best automation replaces tasks that don’t need human input, like repetitive tasks that humans find tedious.
Instead of turning to automation as a replacement for a human team, look for ways automation can speed up the work of humans or let humans focus on complex problem-solving and conversations that require empathy and human interaction.
Be sure you’re choosing a tool that aligns with the technical abilities of your team — especially if you don’t have any highly technical staff. Most customer service software companies now design their products with non-technical users in mind, as a result.
Automation introduces a small amount of risk when it comes to data security and privacy. When shopping for customer service automation software, be sure to check the vendor’s security. At a minimum, look for software that has single-sign-on (SS), SOC 2 Type II certification, and HIPAA compliance.
Gorgias is the customer service platform built exclusively for ecommerce companies, and powered by a suite of AI and automation features. Your agents will save hours per week by cutting out tab-switching, copy-pasting, and manually assigning and tagging tickets.
Gorgias also features the Automation Add-on, which includes a variety of self-service features to help your customers get instant answers to basic questions. Automate users can automate 30% of all customer interactions — up to 45%, for top users!
To learn more about Gorgias and Automate, book your demo today.
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Black Friday — Cyber Monday (BFCM) is the most lucrative opportunity for online stores around the holiday season.
In 2022, nearly 10% of all revenue generated between October 1st and December 31st occurred during the BFCM weekend, according to Adobe.
But just like BFCM sales skyrocket, product returns also surge after the weekend, so much of that extra revenue gets erased.
You can combat Black Friday returns issues in two ways:
In this guide, you’ll learn proven tactics for achieving both of these goals and retaining your BFCM revenue.
ZigZag Global’s proprietary metrics showed a 60% increase in return rates after the Black Friday weekend last year, compared to 2021. Loop Returns puts that number at 31%.
Regardless of the specific numbers, most ecommerce stores face inflated return rates post-BFCM. There are a few common reasons:
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Throughout the following sections, you’ll learn ways to avoid (or at least mitigate) these problems.
While you can’t evade all BFCM returns, you can limit them significantly by following the best practices below.
A successful BFCM starts way before November. You want to estimate how much inventory you’ll need and order everything at least a few months in advance, depending on how long the shipping process takes for your suppliers.
If you wait too long, you can end up scrambling to secure inventory at times when supply chains are at maximum capability. This can easily lead to shipping delays and returned items.
The best way to estimate how much inventory you’ll need is to use historical data.
For example, if you use Shopify, you can use your Shopify order history data (or the equivalent in your platform) to filter BFCM orders and compare them to the rest of the year. This will give you a good baseline of how much sales typically jump, so you don’t waste money on inventory you won’t sell and don’t miss out on revenue because of understocking.
Here’s a great guide to BFCM inventory planning, if you need more help.
Providing timely pre-sales support is a powerful way to reduce returns because it lets you:
Gorgias — our ecommerce helpdesk software — has various features that can help you implement this strategy.
For example, Flows are self-service Q&As that live in your chat widget and Help Center. Customers can use Flows to get personalized product recommendations, ask about promotions, and learn about your shipping and returns policies — all of which are great ways to instill buying confidence and nudge shoppers toward a purchase.
Here’s an example of Flows from Princess Polly, where customers can find the most accurate returns policy for their location without having to talk to an agent.
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For a real-life example of the impact of pre-sales support, check out our case study with skincare brand Topicals.
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They were able to increase sales by 79% and deflect 69% of incoming tickets by educating customers pre-sale thanks to Gorgias’ chat automations.
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If product descriptions and product photography don’t match what customers receive, high return rates are imminent.
That’s why it’s a good idea to audit your website a week or two before Black Friday and check if each item’s image and description are accurate. Or, if you don’t have the bandwidth, at least audit the best-selling products and ones that are about to be discounted.
One company that does a great job in this regard is Marine Layer. They offer tons of relevant details under their products, including their exact dimensions, the size of the model wearing the clothes, and more.
Here’s an example from one of their product pages:
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This in-depth information helps shoppers make the right choice and helps the brand avoid unnecessary returns down the line.
As I said, broken items are among the most common reasons for returns. You want to ensure all shipments (especially ones containing fragile items) are packaged in a way that can handle more wear and tear than usual.
If you have access to specialized machines like ECT or Mullen testers, you’re probably doing this anyway. But even if you aren't, the process doesn’t have to be complicated. Just package one or two products and throw them around the warehouse a few times to see how they hold up — we did this at a previous company of mine, and it was educational and entertaining.
The post-purchase experience begins after a customer completes your checkout process. Making this experience useful for your shoppers will reduce the number of returns and help you create long-term, loyal customers.
Here are four essential post-purchase best practices to follow:
Good order confirmation emails are a must in terms of lowering shoppers’ post-purchase anxiety and reducing unnecessary tickets to your support team.
Make sure to automate them, so that they’re sent immediately after a customer completes your checkout flow. The email itself should include:
Giving customers a way to track their orders is a great way to improve their experience and reduce the load on your support team.
For example, you can use Gorgias’ Order Management Flows to let customers check their order status, package tracking number, and shipping details. This is a great way to keep shoppers informed while deflecting WISMO (“Where is my order?”) requests from becoming support tickets.
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Whenever shipping delays can’t be avoided, you want to be upfront about the issue with your customers.
Tell them when they can expect the delivery and apologize for the inconvenience. You can also throw in a shipping discount or another incentive if you feel it’s necessary to prevent potential returns.
These might be instructions on how to apply a skincare product, wash a piece of clothing, or configure a Bluetooth speaker.
Regardless of the specifics, you want to make sure shoppers have easy access to the necessary information. This will prevent them from returning products just because they couldn’t figure out how to use them.
Note: For even more details and examples, check out our 10 ways to reduce ecommerce product returns.
In some cases, it’s not possible to avoid returns altogether. When that happens, you want to ensure the return process is as cost-efficient as possible, so you can avoid wasting customers’ effort, as well as your team’s time and resources.
Here are three ways to do that.
This option lets you keep at least part of the revenue and profit margins that would’ve otherwise been lost. Plus, it can help you delight customers with products that they might not know about, so it’s a win-win for both sides.
There are two ways to implement this strategy:
You can instruct your team to approach return requests as opportunities for an exchange.
If you use Gorgias, your agents can have access to all customer data in one place, so it should be easy for them to suggest relevant products based on each shopper’s previous interactions and purchase history. Plus, with live chat support, your team will be available to customers at every step in the process.
Loop is a returns management app that lets ecommerce businesses embed a self-service return portal on their site.
Besides saving you time (since it’s self-service), the portal can nudge shoppers to exchange their products instead of returning them. This can be done via bonus credits, for example, which give customers more in-store credit than they would get as a refund in the original form of payment.
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Jaxxon is one of the ecommerce brands that employ this tactic on their site. They’ve embedded Loop’s return portal, which helps their agents save time and encourages customers to exchange instead of return.
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They also provide live chat support (via Gorgias) within the portal to answer questions and potentially steer customers away from a return. For instance, their agents can:
Note: Gorgias and Loop Returns can be integrated. This integration allows customers to talk to a support agent while navigating the returns portal. That way, agents have a chance to troubleshoot any issues that may be causing the return (or steer customers toward an exchange).
Another challenging aspect of BFCM is the influx of questions to your support team, many of which have to do with returns, like:
That’s why you should have your returns policy linked in highly visible places on your website. For example, you could place links to the policy in your site’s navigation or even have a small pop-up that encourages shoppers to read it.
With Gorgias, you can reduce the volume and impact of these repetitive tickets even more by:
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As mentioned, shoppers often buy Christmas gifts during BFCM. If your return window is 14 or even 30 days, most of the people who receive a gift won’t be able to return it in time.
This can lead to bad reviews, angry shoppers, and poor customer retention (especially for first-time customers). That’s why it’s a good idea to extend your return window after Christmas and New Year to ensure a good customer experience.
With self-service returns, online shoppers don’t have to wait for an agent to get to their request, while agents can focus on more complex tickets (or on generating revenue via proactive customer service).
To implement this tactic, you first need to provide shoppers with clear, detailed instructions on how to return their items. These instructions should be included on your site (e.g., on FAQ pages or in helpdesk articles) and can even be printed and shipped alongside the product.
As I said earlier, you can also use Loop Returns to provide shoppers with a self-service return portal on your site. Loop’s portal is easy-to-use, so shoppers can go through it without any unnecessary hassle.
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From a revenue protection perspective, you can also have Loop nudge customers toward exchanging items instead of returning them. According to their data, companies that use Loop turn 57% of returns into exchanges.
Increases in post-BFCM returns are extremely common and in some cases — inevitable.
However, with the tactics outlined in this article, you can minimize their number and impact on your revenue. You can also streamline the return process, so you’re not spending unnecessary time, effort, and money on returning items.
Here’s how Gorgias can help you in both regards:
Gorgias offers a plethora of features that can reduce the load on your agents during this year’s shopping season rush — from automated responses to self-service flows, and much more.
Plus, our integration with Loop Returns lets you create a seamless return experience. Shoppers can use the Loop portal for self-service, while also contacting your team if they get stuck (which is a great opportunity to nudge them toward an exchange).
Gorgias centralizes all customer service tickets in one place. This means your agents don’t have to waste time switching between tabs to handle return requests from your website, email, SMS, and social media profiles, for example.
Your agents can use Gorgias chat campaigns to communicate with customers and help them find the right products for their needs (which helps reduce returns down the line).
They can even create proactive chat campaigns aimed at specific visitors to promote BFCM discounts, cross-sell or upsell specific items, reduce cart abandonment rates, and much more.
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Lastly, you can also check out our Black Friday Marketing Guide for 18 ideas and strategies that can help you drive more Black Friday sales this year.
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Let’s cut to the chase: Black Friday and Cyber Monday customer support is intense. For ecommerce customer support teams, the flood of tickets is the online store version of shoppers mobbing through brick-and-mortar stores.
It’s easy to focus on just getting through the flood of tickets. But If you’re proactive, your support team could actually reduce the number of incoming tickets with automation. And with all that time saved, the support team can have a huge impact on the cumulative success of the weekend by unblocking sales, reducing return rates, and more.
Customer support teams are not just there to answer tickets during BFCM — they are key at every stage along the customer journey:

An unprepared or understaffed support team is the quickest way to kill your BFCM success. And with $209.7 billion in forecasted online spending at stake, that’s not something you can take for granted. Here are 5 steps to make your support team the hero of Black Friday 2023.
Ecommerce sales depend on clear policies around shipping, returns, lost packages, and more. When customers don’t know your policies, they’ll either write to your support team (if you’re lucky) or abandon their cart entirely and head over to Amazon (more likely).
In the first case, your support team is stuck answering repetitive questions like, "What's your shipping policy?" when customers should really have easy access to that information on their own. In the second, you’re directly losing online sales because of a lack of clear customer self-service options. Either way, we’re here to help you solve it.
“Make sure all of your policies are up-to-date before Black Friday-Cyber Monday, and communicate them to both agents (through your SLA) and customers (on key pages of your website). This will reduce the number of tickets you have to field and ensure customers have the information they need to make a confident purchase decision.” —Bri Christiano, Director of Support at Gorgias
Most customers use BFCM weekend to lock in holiday gifts, so their number one concern on BFCM (after what deal they can score) is often around delivery dates. They want to know if their order will make it on time for the holidays.
Before communicating shipping dates to customers, work backward with your fulfillment team to determine the absolute last day orders can ship and still arrive in time (factoring in holiday shipping delays).
Once that “drop dead” order date has been determined, it needs to be clearly communicated to holiday shoppers, along with any opportunities to speed up shipping for an additional fee.
Here are some common customer expectations around fulfillment you may want to consider (thanks, Amazon!).

Make your shipping policies (and the “drop dead” date) clear in your:
If you feel uncertain about what those shipping policies should be exactly, check out our guide for ecommerce shipping and fulfillment best practices. Better safe than sorry with an inbox full of angry customer emails.
Common reasons packages are lost are:

Stuff happens. Being upfront about what customers can expect if the worst-case scenario happens is key to recovering and retaining that customer relationship.
Your customer-facing lost package policy should include:
And, don’t forget to set your support agents up for success by providing them with a process that explains:
This will help your agents handle the process quickly and consistently, and give your customers the peace of mind that they will be made whole if something goes wrong.
If you’re creating this policy from scratch or want to make sure your policy is covering all your bases, check out our guide on how to handle lost ecommerce packages.
If you’ve ever bought a gift for “ the person who has everything” or received tighty-whities from Great Aunt Margret for Christmas, you know how important a return policy is. More than ever during the holiday sales season, your customers are going to want to know your return policy. And, while you can’t eliminate the BFCM returns, you can at least reduce the number of them if you understand where they’re coming from.
In addition to gift returns, the top reasons online shoppers choose to return a product include:

To reduce ecommerce returns, during BFCM or any other time, the more information you give upfront, the less likely people are to return the items later on. Your return policy should be crystal clear to both support agents and customers about the conditions under which you will accept a return for either a refund or exchange. Not sure where to start? Check out our return policy template generator to get started.
Similar to the shipping policy locations, you want to make your returns and exchanges policy (or at least a link to the full policy) as visible as possible to avoid unnecessary support tickets.
Make your returns and exchanges policies clear in your:
A service-level agreement (SLA) is a document that describes what the client or customer can expect from the provider. A strong SLA is foundational to cultivating understanding and maintaining high satisfaction with your existing customers. Making sure your SLA is up-to-date is more crucial than ever when entering into the busiest times of the year when customer expectations are at their height.
Here are some things you should add to (or update) in your SLA for BFCM:
Berkey Filters, an online retailer that sells water purification systems, does a great job of sharing its SLA for live messaging channels with customers. Their Help page acts as a sort of customer support landing page, setting expectations with customers about the fastest way to reach the team — 2 minutes, for SMS and live chat support.

Your agents have more important things to do than answering the same basic questions over and over (and over and over). The trick? Setting up self-service resources to help customers help themselves.
This includes making information easily accessible by leveraging automation to answer simple or repetitive questions (e.g. “What size am I?”) and making sure your FAQ pages are up-to-date.
With tools like Gorgias, you can even use AI to automatically suggest articles when customers ask last-minute questions in the chat.

Some examples of ecommerce brands taking help centers to the next level are:




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Gorgias merchant data shows that the average ecommerce business will see a 20% spike in ticket volume during BFCM. That increase in volume can cripple a support team if you don’t take the time to forecast your ticket volume and staff accordingly. You’ll want to make sure your team has the capacity to answer revenue-driving questions in a timely way so your customers don’t abandon carts due to wait times.
Proactive and data-driven forecasting is the key to reducing wait times and increasing revenue on BFCM. Relying on guesswork or reactive staffing measures will likely leave you with burned-out agents and unhappy customers (not to mention tanking CSAT and NPS).
Or, you may find yourself overstaffed and wasting valuable resources on excess headcount, offsetting any bfcm sales you make. Balancing these two extremes can only be done with a strong forecasting strategy.
If you’re unsure of where to start with your strategy, check out the battle-tested, three-step framework for customer service forecasting, the CEO of HelpFlow, Jon Tucker developed. He manages a 24/7 live chat and customer service team for over 100 brands with this strategy, so you know it’s good stuff! Here’s the Cliffnotes version:
To calculate your contact ratio, simply:

As a benchmark, HelpFlow usually sees a contact rate of 30-50% for stores that haven’t yet streamlined their customer service experience, and 20% for those with more optimized, automated processes.
Once you have your overall contact rate, the next step is to estimate how many orders you'll experience over BFCM. Your estimated order volume and your average contact rate are the two ingredients you need to calculate the estimated ticket volume.
To build a projection of order volume, look at your historical data for:
Once you forecast ticket volume, the next step is to determine how many team members you need to handle the volume.
Start by assessing the number of tickets each agent has the capacity for and then divide the number of forecasted ticket volumes by that number to determine how many agents you need for the holidays.
To calculate agent capacity per full-time agent:

Your agent capacity will vary significantly based on your business, agents, and customer service operation. For example, HelpFlow typically sees anywhere from 40 to 60 tickets per day per agent as a healthy benchmark. And, across Gorgias customers, we see an average of ~60 tickets per day per agent in healthy support organizations.
As a general rule, building in a buffer is a good idea, especially if this is your first year creating your forecasting strategy and there may be some variance in the numbers.
While hiring additional customer service agents might seem like an easy solution to the BFCM madness, the unfortunate reality is it’s hardly the time to ramp up new employees.
It’s better to first take a hard look at your existing processes and see where you can optimize for the team you already have, and/or outsource to seasoned pros. This will not only help you run your customer service more effectively but will also help you avoid excess headcount after the holidays.
After you’ve optimized your existing process, consider offering your current agents overtime pay rather than hiring unseasoned agents that would be in excess come January.
For example, if you typically have five agents working eight-hour days, offer an additional 90 minutes each day during the holidays at a holiday-exclusive overtime pay rate. By doing this you can add the equivalent of another full-time agent (i.e. 90 mins per day x 5 agents = 7.5h of workload per day).
Here are some tips from Tucker, to maximize the impact of team overtime:
Agent burnout is a real problem, especially since the pandemic, so be careful asking for too much overtime from your current agents. However, it can be a great short-term solution, especially if you have a healthy team culture. Just make sure you’re following any relevant HR rules and regulations — the penalties can be severe if you aren’t careful.

If the amount of overtime your team can work won’t bridge the gap in headcount needed during the holidays, it’s time to look externally for resources. But be forewarned, not all Business Process Outsourcing (BPO) or customer service outsourcing agencies are created equal.
“A great outsourcing agency or BPO should be providing advice to make your team more efficient, not just providing temporary agents,” says Tucker. “The net result of finding the right partner is not only the additional tickets from their agents but also the increased output from your existing team.”
Tucker said some of the best ways to find a great customer service vendor is to:
Imagine a customer is rushing to get a deal on that one item their kid really wanted for Christmas. They only get as far as the product page when they realize they’re not sure which model is compatible with their kid’s current tech setup though. So, they call your customer support line, but agents are slammed because it’s BFCM and the estimated wait time is over 20 minutes.
The customer, wanting to make sure they get this special gift while it’s still in stock, quickly searches Google for the specs. They land on the site of another retailer that has the product in stock at a comparable price. Better yet, before they even have a chance to try and find the information themselves, a friendly chat assistant welcomes them and asks if they need help finding anything.
The chat conversation quickly helps them determine what model they need and even sends them a direct link to the product page for it after just a brief dialogue. The customer, rather than shuffling through all their tabs to find the other retailer’s site, decide they might as well just purchase the item on the second site since they’re already on the exact product page they need.
This is what chat does best; they help customers while they’re in the flow of shopping. Wherever your customers are on the site, chat keeps all of the information right at their fingertips so they stay on-site and in the online shopping flow. According to recent studies, chat can boost conversion rates by as much as 12%!
With a tool like Gorgias, you can set up chat campaigns that target customers and automatically pop-up based on browsing behavior, pages visited, dwell time, and more. You can use these chat campaigns to offer real-time support, deal notifications, offer unique incentives, and more.

Learn more about how chat campaigns can help you improve the pre-sales customer experience and drive more sales during BFCM (and beyond).
If your BFCM strategy over-relies on expensive marketing ideas to win new customers, you’re missing out. Of course, acquiring customers is important — but their value is only truly realized if you can keep them around.
According to Gorgias data, repeat customers make up only 21% of the average brand’s customer base but generate 44% of that brand’s revenue because they shop more often and place higher-value orders.

The easiest way to cultivate customer retention beyond the holiday season is through great customer support. And, the best way to provide great customer support is by giving your customer service teams the tools they need to streamline operations.
Gorgias helps empowers your support teams to retain customers by:
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Looking for some customer support statistics to develop your business strategy for 2023? You’re in the right place.
Understanding customer expectations and their impacts on your business is a great way to improve your company’s customer service. For example, it can help you:
In this post, we’ve gathered tons of customer support statistics all in one place so you can understand the objective numbers behind the state of customer service as it stands now.
Technology has driven the evolution of ecommerce in many ways, and the same trend rings true when it comes to customer service. Some of the biggest takeaways from this data include:
Recommended reading: 8 Customer Service Trends for 2023
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Excellent customer service is becoming both more challenging and a bigger competitive advantage than ever before. To deliver on that, brands have to overcome the challenge of high-effort, disconnected experiences.
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The top 10 reasons customers reach out to (ecommerce) support teams (based on a Gorgias survey of 12,000 ecommerce sites) are:
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Customer service is increasingly important, and average response times are decreasing. Benchmarks are helpful to keep in mind to ensure you’re competitive, but it’s equally important to set your own benchmarks and compete against yourself.
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Want to get better at measuring your service? Check out our guide to customer service metrics.
Customer service impacts the bottom line, and customers are willing to share their experiences — good or bad. It also builds trust with shoppers, making them more eager to make a purchase and build a lasting relationship with your brand.
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Challenges with employee retention have led to reduced quality in terms of service standards. Brands with strong customer service training and strong, loyal service teams stand to gain a competitive advantage.
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Customers continue to expect more relevant messaging and promotion from brands, including personalized customer support. And their hesitations around data privacy and related technologies are waning, making them more open to sharing information to receive improved customer service interactions.
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Technology is key to delivering exceptional customer service experiences. The right tools, from helpdesks to live chat support apps, are essential to meeting today’s customer expectations.
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The number of communication channels customers can use to interact with brands (and vice a versa) is constantly increasing. This number is only going to grow, so brands need to understand not only how to leverage each customer service channel but also how to integrate all the touchpoints into a single synonymous customer experience.
Synergy across an omnichannel support experience is the new baseline for good service.
Artificial intelligence (AI) enables more self-service options, as well as automations. Effective use of support automation technology can boost efficiency and reduce resolution and response times.
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Anticipating future trends and advancements can help you stay ahead of the curve. Customer expectations will continue to rise, touchpoints will become increasingly complex, and AI will play a growing role in delivering top-notch service.
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Now that you know the latest customer experience statistics in 2023, check out our list of customer service best practices to put this knowledge into action and become a more customer-centric company to attract and retain loyal customers.
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In customer service, you can find a wide variety of job titles, each with a unique set of key responsibilities — everything from answering phones at a call center to setting up automations, developing strategies for customer retention, and much more.
If you’re looking for a job in customer service, you’re in the right spot. Customer support can be a great way to transition industries and work your way toward a satisfying and rewarding career. Below, you’ll learn about 7 types of customer service roles, including typical daily duties and qualifications.
If you’re hiring customer support team members, you can also adapt the job posting templates to help you find talented new employees. Plus, you’ll hear from a couple of top ecommerce brands about why it’s important to give everyone on your team some customer service responsibilities, regardless of their role.
Customer Service Agents (or Customer Service Representatives) are the most junior role on a customer support team. Support Representatives are customer-facing employees on the frontline. They receive incoming support messages and calls, answer basic questions, and pass along complex or technical questions as needed.
Of course, even at this stage, Agents can play a major role in helping improve workflows, tagging and organizing incoming support requests, passing along customer feedback, and more.
If you’re a recent graduate or trying to pivot to a career in customer service, becoming an Agent is a great option.
We are seeking a dedicated and friendly Customer Service Agent to join our team. In this role, you will be the face of our company, assisting customers with their inquiries, resolving any issues, and ensuring a positive customer experience.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service.
Interested candidates should submit their resume and cover letter to [email].
Gorgias is chock-full of features and automations to help Customer Service Agents offer quick, helpful responses.
For instance, Gorgias centralizes messages from all communication channels (email support, live chat support, social media support, SMS support, WhatsApp support, and more) into one shared inbox so Agents don’t have to spend all day switching tabs. This helps your team offer omnichannel customer service.
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Also, when Agents are answering incoming support tickets, Gorgias displays customer information (including past conversations and orders) to give Agents all the context they need to answer the question. This also helps Agents offer personalized customer service.
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Customer Service Specialists have many of the same day-to-day responsibilities as Representatives. The main difference is that Specialists typically have more experience, know more customer service techniques, and can handle more complex, sensitive, and challenging interactions with customers.
In most teams, tickets get “escalated” to Level 2 Agents (or Specialists) if they’re beyond the skillset of an Agent. Often, Agents get promoted to Specialists once they understand the company’s policies, procedures, and products. It can be a great stepping stone to managing a team.
We are seeking a Customer Service Specialist to join our team who will respond to customer inquiries by phone call, email, or chat. As a Specialist, you will be responsible for resolving mostly routine customer inquiries with some non-routine, more complex problems.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service — including to angry or escalated customers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias makes escalating tickets to Level 2 agents extremely easy. You can even set Gorgias up to automatically assign angry customers to certain agents — this works because Gorgias scans the sentiment and intent of every incoming ticket, and can assign, tag, and even respond automatically based on what it finds.
Here’s a visualization to help explain how Gorgias can automatically detect the contents of a ticket, and assign or tag it however works best for your team.
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The Customer Service Team Lead is directly responsible for managing a team of Agents. As a Team Lead, you’ll spend less (or no) time answering tickets, and more time hiring, onboarding, and training new support agents. ’
In some companies, the Customer Service Team Lead also acts as the Customer Service Manager (which we’ll cover below). But most companies separate the roles: The Team Lead manages the people, while the Manager manages the strategy and business impact.
We are seeking a customer service team lead to join our team. Reporting to the customer service team manager, the Customer Service Team Lead will be responsible for leading Customer Support Agents to provide the highest level of support and service to all internal and external customers.
The ideal candidate will have experience in team leadership, customer service, and problem-solving, with an understanding of industry best practices.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias gives Team Leads a helpful overview of the team’s performance. Specifically, you can see each agent’s essential metrics — like CSAT, response times, resolution time, conversion rate, and more.
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You can use these metrics to evaluate each agent and inform the type of training and coaching each one needs. Speaking of training, Gorgias also offers Gorgias Academy, which features dozens of courses to help teach your agents how to upskill, including how to use the helpdesk.
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Customer Service Managers are responsible for implementing the department’s tools and strategies. Unlike Team Leads, who are responsible for people management and coaching, Customer Service Managers are more responsible for setting up tools and automation, making sure the team is working toward business goals, and generating reports about the state of the department.
We are seeking a highly motivated and experienced Customer Service Manager to oversee our customer service operations and ensure the highest level of customer satisfaction. The Customer Service Manager will be responsible for leading a team of customer service representatives, implementing effective strategies, and continuously improving customer service processes.
The ideal candidate will have a strong background in customer service, excellent leadership skills, and a passion for delivering exceptional customer experiences.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias is full of automations that Customer Service Managers can set up to make their team more efficient and productive.
For instance, imagine you’re a Customer Service Manager looking for solutions to answer more tickets without hiring additional agents. You could set up Gorgias Automate to let customers answer FAQs, track orders, request returns, and more in the chat widget and Help Center.
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The Manager can also review the performance of these (and other) automations to understand the impact and find areas for improvement.
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Technical Support Engineers provide support to customers experiencing issues with software and other IT equipment. Most Technical Support Engineers are hired for Software-as-a-Service (SaaS) companies or universities, hospitals, and other large companies that need support for technical equipment and issues.
Note: Gorgias is 100% built for ecommerce. You can send images, videos, and other files to solve complex issues, but the tool isn’t built for software companies that need to offer very technical support. Check out our list of the best customer service software if you’re a non-ecommerce company.
We are seeking a skilled and customer-oriented Technical Support Engineer to join our team. The Technical Support Engineer will be responsible for providing technical assistance and support to our customers, ensuring timely resolution of technical issues, and delivering exceptional customer service.
The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for helping customers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Customer Success Managers are responsible for maintaining client relationships. They don’t answer tickets at all — instead, they meet regularly with clients to understand their business goals, help implement solutions, and ensure the client remains happy and satisfied.
Most Customer Sucess Managers work for Software-as-a-Service (SaaS) companies, agencies, and other kinds of client-based companies. Because Gorgias is built for ecommerce support teams, it’s not recommended for Customer Success Managers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
The Director of Customer Service oversees the entire department and reports directly to executive leadership. They are responsible for managing the budget, reporting to executive management, and shaping the future of the department.
Director of Customer Service is the most senior role we’ll cover in this article. But depending on your business’s size and makeup, you could hire additional executive-level roles like Vice President of Customer Experience or Chief Customer Officer (CCO).
We are seeking a skilled and experienced Director of Customer Service to oversee our company's customer service policies, initiatives, and operations.
The ideal candidate will possess a deep understanding of customer needs and expectations, a passion for delivering exceptional customer experiences, and a proven track record of managing high-performing customer service teams.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias features a suite of tools and dashboards that the Director can use to communicate the department’s performance to executive leadership. On top of Agent Performance, which we mentioned above, you can see a variety of other data.
For example, you can see an overview of your support performance, benchmarked against other support teams in your industry:
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You can also see data about your team’s contribution to revenue, to run and report on experiments like using chat campaigns or live chat to generate sales.
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While you’re building a dedicated customer service team, consider requiring non-support team members to spend some time answering support tickets — either during onboarding or periodically as ongoing training. This helps non-support members:
If you use Gorgias, you’re in luck. While nearly every other helpdesk charges for additional seats, Gorgias gives you unlimited seats so everyone can make a profile and get involved with support at no extra cost.
Plus, Gorgias is easy for anyone — even non-support folks — to pick up and use. Here’s what a Marketing employee at Chomps, a Gorgias user, says:
“As a non-CX'r, Gorgias has made helping out the CX team so much easier. The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”
Read more about how Chomps uses Gorgias to share customer insights across the whole company.
Gorgias is a customer service platform built for teams of all sizes. And to accommodate all the different roles and responsibilities, Gorgias lets you select a role for each user, giving them (only) the permissions they need to do their jobs.
This helps keep everyone focused on their role’s scope, and ensure privacy and security — especially if you outsource customer service and want to limit access to sensitive information.
User Roles include:
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Want to learn about how Gorgias can help you make your customer service team more efficient and effective? Claim your demo today.
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TL;DR:
According to 2025 Gorgias data, chat inquiries are resolved in 24 minutes versus two days on email. It’s no wonder customers prefer live chat over any other support channel.
If you aren’t already offering live chat, it might feel like a big commitment. But when the end product is happier customers, it’s high time to catch up.
Thinking about offering live chat? Learn more about the benefits of live chat customer support, how it differs from chatbots, when and how to use it, and the best live chat tools to use based on your team’s needs.
Live chat support is a form of customer service that uses a chat widget to intake customer inquiries. Ecommerce websites, browser-based tools, and mobile apps typically offer live chat in combination with other customer service channels like email, phone, and social media.
Depending on the business, live chat support availability can vary. Some businesses choose to run live chat within their operating hours, while others extend 24/7 availability with the help of automation, conversational AI, or a dedicated off-hours team.

Related: Customer service messaging: Tips and templates for SMS + conversational channels
The main difference between live chat and chatbots is the option to speak to a live human agent.
With live chat support, customers always have the option of speaking to a live human agent. Meanwhile, chatbots can only provide customers with automated responses, whether preconfigured or generated by AI.
Live chat doesn’t just make support faster—it helps you close more sales.
Aside from quick answers, customers want confidence to buy. In fact, Hiver reports that 63% of consumers prefer live chat over phone and social media, mainly because they get instant answers while they’re still browsing.
Here are the benefits of implementing live chat for your business:
Read more: A guide to resolution time: How to measure and lower it
Live chat shines in situations where timing directly impacts whether a customer buys your product or walks away. These conversations often happen before a purchase, like when a shopper is deciding between products, has concerns about shipping, or wants to confirm your return policy.
Use live chat in these moments:
|
Moment |
Why Live Chat Works |
|---|---|
|
Before a purchase |
Provides instant product education, assurance, and curbs hesitation due to a lack of information |
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Order-related concern |
Resolves time-sensitive questions on shipping or changes before the customer bounces |
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Checkout hesitation |
Reduces cart abandonment by addressing doubts |
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FAQs |
Deflects repetitive tickets through automation, freeing agents for complex conversations |
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High-value customers |
Offers high-touch service that reinforces loyalty and drives repeat purchases |
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Bulk orders |
Accelerates large sales by delivering clarity when urgency is high |
You don’t need a large support team to offer high-quality live chat support. Sure, live chat can feel risky if you’re a brand with a lean CX team or high ticket volume, but when you automate the right types of conversations, it becomes one of the most impactful support channels.
Start with high-frequency, low-complexity inquiries. These are repetitive questions that don’t require an agent to resolve:
These types of tickets typically make up the bulk of your live chat volume. Automating them clears the way for agents to focus on conversations that require more specialized knowledge and nuance.

The best live chat isn’t only a messaging tool, it also comes with features that make the support agents using it more productive.
Here are the top automation features to improve live chat:

Good live chat messages are quick, helpful, and easy to follow. Poor live chat messages are slow, robotic, or long-winded.
Follow these guidelines to help keep your replies effective and consistent:
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Do ✅ |
Don’t ❌ |
|---|---|
|
Respond within your target SLA |
Leave customers waiting |
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Keep responses concise |
Send long, wordy messages |
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Use macros and templates as a starting point |
Manually type everything again and again |
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Ask clarifying questions |
Assume you understand everything |
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Be transparent if you need more time |
Promise something you can’t deliver |
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Confirm resolution before ending the conversation |
End the chat without checking if the issue is solved |
Adding live chat for the first time or want to make your current setup more manageable? Start with these five steps:
You don’t need to be online at all times to offer live chat. Start by choosing live chat hours that reflect your team’s availability and peak shopping hours.
Remember to display your availability on your website clearly to manage customer expectations.
Customers who reach out to you via chat are active on your site and often close to purchasing.
Create rules in your helpdesk that flag live chat conversations as urgent, so they don’t get buried under slower channels like email. If you have a dedicated agent who handles chat, route all chat tickets to them for instant visibility.
Set up an auto-response that triggers immediately when someone starts a chat. Even a short message like “Hey! Thanks for your message, an agent will be right with you,” can reduce drop-off and give your team time to prep.
Templates that work in email may be too wordy in chat. Shorten your macros, simplify the tone, and make sure each response fits cleanly into a chat window. Use dynamic variables to pull in details like order number or shipping status without slowing down your agents.
Customers don't stop having problems when your team clocks out. When someone tries to chat outside business hours, collect their email so an agent can follow up once your support team is back online.

If you’re evaluating live chat software, here are five solid options to start with. Each one fits different team sizes and priorities.
|
Tool |
Pricing Model |
Best For |
Standout Feature |
Limitation |
|---|---|---|---|---|
|
Gorgias |
Per ticket |
Ecommerce brands |
Conversational AI that handles support and drives sales with upsells, recommendations, and context-aware discounts |
Limited AI features for non-Shopify ecommerce stores |
|
Zendesk |
Per user |
Large CX teams with dev resources |
Highly customizable for large support orgs |
Built for general use, not ecommerce; limited email AI; high setup cost |
|
Intercom |
Per user |
SaaS and product companies |
Built-in onboarding and product messaging tools |
Not ecommerce-focused; limited integrations and high AI cost |
|
Tidio |
Per ticket |
SMBs looking for budget automation |
Affordable chatbot + live chat combo |
Lacks visual upsell tools and struggles with complex sales questions |
|
Richpanel |
Per user |
Early-stage teams |
Simple UI and fast time to launch |
Buggy UI, no AI Agent, slow updates, poor Shopify automation |
Gorgias helps ecommerce brands deliver fast support without cutting into your budget. Automate common questions with conversational AI, resolve tickets in seconds, support and sell, and give your team the context they need to handle complex conversations with one tool.
Want live chat that takes support to the next level? Book a demo.
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Responding to customer complaints can be challenging. It’s hard to diffuse a situation when a customer is already roaring mad.
Investing in acquiring new customers is anywhere from 5 to 25 times more expensive than campaigns aimed at customer retention.
So, diffusing the situation is always worth the effort.
Depending on the reason for the customer complaint, you can offer free swag and coupons to keep them calm and have them falling in love with your brand all over again.
There are some instances, however, where the customer is just plain wrong, and you shouldn’t give into them. In this post, we explore both sides of the coin and give you specific guidance on how to deal with customer complaints.
Why do customers complain in the first place? It’s usually because they’ve been let down in some way.
Their expectations were not met.
Maybe they incorrectly read your return policy, or they thought the product’s color was going to be more vibrant, based on the image online. (A clear return policy can help here. Check out our free return policy template for help.)
When you’re first presented with a frustrated customer, it’s important to put yourself in their shoes and determine what let them down, so you can respond more empathetically.
Here are some common issues:
A customer might be frustrated when your website glitches. There are so many different things that can go wrong:
The list goes on.
Customers who are faced with tech issues can easily become very frustrated. And without a fast response and resolution, they’re likely to bounce from the site.
Because ecommerce companies offer products for website visitors to browse, this industry has some low bounce rates. But website glitches will certainly cause higher-than-desired bounce rates and consequently lower sales.
You might also get customer complaints about your products. Typically, a customer would complain after they bought and received the product and it didn’t meet their expectations.
But you could get a website visitor in your chat software who is complaining before they’ve even bought the product.
They might be trolling you after seeing a social media ad. It happens.
The majority of product-related complaints will be legitimate, however, so make sure that you not only help the customer with a refund or other solution, but that you also pass on the feedback to your manager.
Your most unhappy customers are your greatest source of learning
Refunds and reimbursements are another big category when it comes to negative comments and chat messages from customers.
The customer might be angry that they can’t return a clearance item, that the refund window has passed, or that they have to pay for return shipping.
Maybe the product isn’t the problem. Sometimes delivery speeds can lead to customer complaints.
Customers might complain if the item is received later than they expected, or even if they knew that there would be a delay when ordering, but are still annoyed by it.

So now that we know some common types of customer complaints, let’s figure out what to do about them.
Today, customer service and support questions happen across a variety of channels. A customer service best practice is to respond to the customer using the channel they contact you on:


Customer relationship management is ever-evolving, so make sure that you are improving your scripts and increasing your capacity for empathy. Your customer service team should be made up of people who genuinely care about your customers and want to help.
Here are some different customer service scripts you can use for customer complaint responses.
To move a conversation off of social media:
Thank you for voicing this concern. We want to help fix this issue as soon as possible. Can you please email us at support@email.com or start a chat on our website?
To apologize for bad customer service:
I’m sorry that you didn’t get the support you needed when you chatted with our team. I want to take care of this issue personally. We’ll also make sure this doesn’t happen again and train our team to do better. Please email me at manager@email.com.
To handle delivery errors:
I apologize that you didn’t receive this order by the expected date. I want to help make this right. Click here to track your order: {{las_order_tracking_url}}.
To thank you for your patience, here’s a $10 coupon off your next order.
Pro tip:
Provide personalized support easily by using customer variables like the last order id and tracking URL into your answer templates. Simply connect your ecommerce platform and your Gorgias helpdesk to unlock this feature.
For long, unexpected delivery delays:
You’re right, you should have received the order by now. I can ship you a replacement, and if you receive the original, please refuse the package or send it back to us if you’re not at home to refuse it.
To handle frustration about known delivery delays:
From increased demand (which we’re so grateful for!) our order fulfillment timelines have gotten a lot slower lately. We’re sorry for that. But good new, your order is on the way!
Click here to track your order: {{las_order_tracking_url}}.
We can’t wait to hear how you enjoy it, so please let us know.
To respond to refund requests far outside the policy window:
Unfortunately, it is too far past the return window for us to process this return. Per our policy, returns can be processed up to 45 days. While I can’t process this return, I can offer you a $10 coupon off of your next purchase.
Related: Check out our return and refund policy template generator.
To respond to refund requests slightly outside the policy window:
While it is past the return window, you’re only a couple days past, so I can process your return. I will create your printable return label, as our returns portal won’t allow you to initiate the return process on your own because of the timing. Would you like me to send the printable return label to the email address used for this order or a different email address?
To respond to refund requests for non returnable products:
Unfortunately, this item can’t be returned, as per our return policy. We can’t process returns for clearance items. However, I can offer you 20% off your next order. Would you like this one time coupon code?
To hand the conversation over to a manager:
I understand that you’re frustrated. I can’t help further with this situation, but I can get you in touch with a manager who might be able to help with your request. Would you prefer that she get in touch with you via email or phone?
For the most part, you’ll need to stick with your company’s policy and not give in to angry customers, but sometimes you might need to bend.
For example, if a customer demands a refund for something outside of policy and refuses to give up on that demand, you might want to just get them in touch with the manager.
The manager or business owner might decide to allow the return, rather than to have this angry customer complain about the business online.
Essentially, you should try to handle issues yourself within policy. If a customer is asking for something outside of policy and is very demanding and angry, that’s when you should escalate the case.
You’ll have to rely on your customer service skills and intuition to help you make the right call.
Should you offer gifts and bonuses to customers?
Only do so when the company is at fault. You might give a coupon code for a certain amount off their next order, or a percentage discount. Or, you might allow them to choose any product under a certain amount and you ship it to them free of charge.
Here are some reasons when it would be appropriate to offer a special coupon or free gift:
You shouldn’t offer special gifts or coupons or free products when a customer is bullying you, though. Don’t do it just because someone is extremely frustrated. Instead, just try to resolve their issue as best you can.
Here’s a great quote from an ecommerce store founder about the need to sometimes let the customer be right, even when they’re not:
Our biggest mistake was not giving into crazy customers and my lesson was that it’s better to lose a little money than to be right.
For example, we’ve had instances when the customer didn’t follow a certain refund policy and still wanted a refund. Sometimes it’s better to play nice and not follow your refund policy as angry crazy customers can make you lose a lot more money. With social media at everyone’s disposal you have to be very careful.
Read the full story Luxy Hair on Shopify blog pos.
The faster you respond, the better the customer experience. Quick response times reduce frustration because your customer doesn’t have to feel like they’re waiting around for you.
If a customer is already upset with your company, and they have to wait a long time for a response, they might be even angrier.
The good news is that you can use Gorgias to automatically prioritize customers with negative sentiments in their messages. We can detect their frustration and make sure they hop to the front of the line.
You can also use Gorgias to create automated responses that handle simple issues. For example, if someone says “My order hasn’t been received yet” your chat bot can reply “I’m sorry! What is the order number?”
This way, the customer can grab the order number while a human agent is joining the chat.
With Gorgias, rules can be used to set up automations, add tags to support messages, and prioritize certain customers. Here’s how to use rules:
Responding to customer complaints isn’t always easy. But when you make it your mission to empathize with your customers and deepen their relationship with your brand, you’ll be in the right mindset to reply.
Gorgias helps online merchants grow through exceptional customer service. Check out our platform.


