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An interview with Max Pruvost, Gorgias SVP of Product, the engineer behind the Gorgias AI Agent Benchmark.
Everyone evaluating an AI agent today is working from a different scorecard.
Gorgias wanted something a buyer could actually interrogate, so we built one. The AI Agent Benchmark tests AI agents on 200+ live ecommerce stores, has evaluated more than 8,000 conversations, blind-scores the quality of each one against a public rubric, and ranks 12 vendors over a rolling 90-day window.
We sat down with Max Pruvost, the engineer who built the benchmark, to talk about why the standard was needed, how it actually works, and what it took to make the numbers reliable and unbiased.
Max: Because the numbers don't mean the same thing. "Automation" can mean resolved, contained, or merely answered. The customer might have gotten what they needed, or they might have been pushed to a contact form, and both get counted the same way. "Fast" can mean the first word of a response or the complete answer; those are wildly different experiences for a shopper. And the way that vendors rate quality has been subjective or not at all standardized.
We wanted a single rubric, applied identically to everyone, that describes the two jobs an ecommerce AI agent actually has: helping a shopper buy, and resolving support without needing to pass it off to a human because the team is busy dealing with more complex tickets.
Max: A storefront assistant does two very different jobs, and they punish different weaknesses. A shopping conversation is revenue-critical and impatient. If the recommendation takes twenty seconds, or the shopper can’t get a good recommendation at all, they’re gone. If the buyer doesn’t feel confident about their purchase decision, the agent hasn’t done its job. It’s important that shoppers get all their questions about the product and the brand’s policies answered quickly and accurately, before they drop off.
A support conversation is about containment: did the customer get their refund question answered without anyone touching a ticket? Speed matters far less there.
If you average the two, a vendor that's excellent at policy answers and useless at recommending products can look identical to one that does both. So the benchmark measures the two lanes separately and weights them differently: shopping is 40% automation, 35% quality, 25% speed; support is 50% automation, 40% quality, 10% speed.
Max: Every conversation runs against the live widget on a real storefront, using the same AI deployment customers actually interact with. Each conversation starts completely fresh, with no browsing history or prior context, and our test shopper types every question in its own words. That matters: quick-reply buttons can trigger canned answers that make speed and automation look better than they really are.
The questions are deliberately hard: compound, multi-constraint, and built on earlier answers, with objections and edge cases along the way. Support scenarios include things like splitting a refund between a gift card and credit card or changing an address mid-transit. Shopping scenarios go from open-ended discovery through comparison and objections, all the way to add-to-cart.
Max: We made three design decisions to make it more trustworthy.
First, blindness. Before judging, we strip out vendor and store identity, so the judge sees behavior, not brands. The information that links a conversation back to its vendor is kept separate and never reaches the judge.
Second, each lane's rubric breaks down into simple yes/no checks, twenty-six of them across the two lanes. The LLM judge answers yes or no per check, and the score out of 100 is calculated from those answers by a fixed formula. A judge can't "feel" an 82.
Third, every passing check must quote the actual transcript, and the quote is verified against the stored transcript in code, an invented quote is demoted to a fail. And the objective parts are even stricter: whether a reply really contains a price, a link, a review quote or a product option is detected by code straight from the transcript, not judged by feel.
Max: The benchmark counts a conversation as automated only when the AI handled it with zero human touch, no handover to a person, and no deflection out of the channel. No "email us," no contact form, no "call us." If more than half of an agent's replies in a conversation push the customer out of the channel, we count the conversation as unresolved.
And importantly, the questions are designed so no turn ever asks for a human. Any handover the AI initiates is its own choice, attributable to a capability gap, not a scripted escape hatch. Also: early bails count against the vendor, and broken widgets are reported separately, never silently dropped or scored as zero. None of that flatters anyone. It's the same measure for every vendor.
Max: Because a competitive benchmark nobody outside can check is only an assertion. The rubric is downloadable; the scoring rules, quality gates and neutrality policies are documented. Every scoring decision is written into code as a separate, tested rule, 145 of them, and before any board goes live an automated check blocks it from publishing if it breaks its own rules. The whole thing runs automatically every day: capture, judge, audit, verify, publish. No vendor-specific store exclusions exist.
We would rather someone find a flaw in our method than trust a number they can't inspect. The point is not that our methodology is beyond debate, the point is that the debate should happen around a visible, repeatable standard instead of around marketing claims.
Max: Three things. First, demand the definition behind every number, what counts as automated, what stops the latency clock, who picked the quality score. Second, configuration beats model: the same vendor scores well on one store and near zero on another, so the deployment you'd actually run is what matters, and testimonials and demos hide that. Third, the most common failure in the field isn't a wrong answer, it's a wall or a loop: authentication demands, repeated clarifying questions, handing everything to a human. Those are guardrail problems, and they're cheap to fix once you can see them.
The full methodology, rubric and live scoreboard are public at evals.gorgias.com. Every number in this piece comes from the September 9, 2026 board, ranked over its 90-day window.
TL;DR:
Getting more out of your Zendesk AI Agent comes down to better configuration. The problem is that auditing your own setup requires time you don't have.
Gaia for Zendesk is a free Chrome extension from Gorgias that clears that backlog in minutes. It connects to your Zendesk account, reads your tickets, and generates the components your AI Agent needs to resolve more conversations without escalation.
Below, you'll find everything you need to get started: how to install Gaia, what it can do, and the use cases teams are already putting it to work for.
Jump to:
Zendesk Suite admins and agents who want to set up or improve their Zendesk AI Agent (and, optionally, Zendesk Copilot).
Throughout this article, "AI Agent" refers to Zendesk's own AI Agent feature, not Gorgias's product. Gaia is the Gorgias-built Chrome extension that helps you configure it.
Gaia for Zendesk is a free Chrome extension built by Gorgias that connects to your Zendesk account and analyzes your real ticket history.
It autonomously transforms that data into the core components your Zendesk AI Agent needs to resolve more tickets without human intervention: guidances, instructions, voice-of-customer insights, and Copilot procedures.
Gaia opens automatically as a side panel on any .zendesk.com page. You choose a workflow, Gaia runs the analysis and generates structured drafts, and you review and approve what should be applied to your Zendesk workspace.
What Gaia can do:
Good to know: Gaia is autonomous in how it analyzes your data and generates recommendations, but nothing is applied without your approval.
How well your AI Agent performs comes down to how well it is configured. Clear instructions, well-defined intents, and up-to-date procedures are what separate an AI Agent that resolves tickets from one that escalates them — and building that foundation manually takes time most teams do not have.
Gaia removes that constraint by turning your existing support data into structured, ready-to-review outputs:
Tip: Teams that define five or more strong guidances typically see a meaningful lift in the share of tickets their AI Agent resolves without escalation. Gaia is designed to help you reach and expand beyond that baseline quickly.
Installation takes about five minutes. You'll need admin access to your Zendesk account to generate an API token.
Make sure you're using Google Chrome or another Chromium-based browser (such as Edge or Brave). Gaia is not available for Safari or Firefox at launch.
Follow these steps:
1. Install the Gaia for Zendesk extension. Go to the Chrome Web Store listing for Gaia for Zendesk by Gorgias and click Add to Chrome. Confirm the permissions to complete installation.
2. Generate a Zendesk API token. In Zendesk, navigate to Admin Center › Apps and integrations › Zendesk API. Enable Token access if needed, then click Add API token. Copy and store the token securely (it will not be visible again).
3. Open the Gaia extension and add your credentials. Click the Gaia icon in your Chrome toolbar, then open Settings. Enter:
4. Click Save. Gaia will validate the connection.
5. Open any Zendesk page. Navigate to any page in your Zendesk account. Gaia will appear as a side panel where you can select a workflow and begin.
Here are the four most common ways teams use Gaia for Zendesk.
Best for: Teams already using Zendesk AI Agent or Answer Bot but not reaching their automation goals
Select Improve my AI Agent. Gaia analyzes escalated tickets against your current guidances to identify missing intents, unclear instructions, and outdated logic, then proposes prioritized improvements.
Best for: Teams starting without an established AI configuration
Select Create my first instructions. Gaia generates a foundational set of 15 instructions covering common ecommerce scenarios (order status, refunds, cancellations, shipping, returns).
Best for: Support, CX, and operations teams planning improvements or reporting on performance
Select Analyze my tickets. Gaia summarizes ticket volume, top intents, and escalation drivers to highlight where automation or process improvements will have the greatest impact.
Best for: Teams using Zendesk Copilot who want consistent, scalable agent workflows
Requires the Copilot add-on in Zendesk. Select Create my first procedures. Gaia converts real agent behavior into structured WHEN/IF/THEN procedures that standardize how common scenarios are handled.
Gaia connects to your Zendesk account, reads your ticket history, and shows you exactly where your setup is falling short. Install the free Chrome extension and run your first analysis in under a minute.
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TL;DR:
Your ticket volume number is probably wrong. If customers are reaching you through email forwards, Slack DMs, or channels that bypass your helpdesk, those tickets aren't being counted, and your SLA reporting is built on incomplete data. This guide covers how to get an accurate count, break it down by channel and category, and use your vertical benchmark to figure out whether your volume is actually a problem or just normal for your industry.
Ticket volume is the total number of customer inquiries your support team receives across all channels — email, live chat, phone, social media, and contact forms — within a specific time period. It is the most direct measure of your team's workload.
Do not confuse it with contact rate. Contact rate = tickets ÷ orders (or customers). That normalized number is more useful for benchmarking and planning because it accounts for business growth. Raw ticket volume tells you how busy your team is. Contact rate tells you whether support demand is outpacing your business.
Start by looking at the last 30 days of customer conversations, no matter where they currently live.
Pull these four numbers:
Here’s how to pull that data depending on your setup:
Open your inbox or Sent folder and filter by the last 30 days. Count how many customer conversations came in during that period. You can also copy subject lines into ChatGPT or Claude to group conversations by topic.
Go to Inbox > Conversations and review your recent conversations. Count how many messages you received and look for repeated themes or questions.
Most helpdesks have ticket reporting or exports built in. Search “export tickets” or “ticket report” in your platform’s help center. From there, you can pull:
If a large portion of customer questions are still happening in untracked places like Slack DMs, personal inboxes, or Instagram comments, your reporting is incomplete. Before optimizing support operations, route customer conversations into one shared system so you can accurately measure volume, response times, and recurring issues.
A raw ticket count tells you how busy your team is. The breakdown tells you what to fix.
|
Category |
What high volume signals |
What to do |
|
"Where is my order?" |
No proactive shipping updates; poor tracking page |
Automate WISMO with AI Agent; add tracking link to order confirmation |
|
Returns and exchanges |
Confusing return policy; no self-serve portal |
Add a clear returns page; enable self-serve exchange flows |
|
Sizing and product questions |
Weak product page content |
Add size guides, FAQs, and fit notes directly on product pages |
|
Account and subscription issues |
Customers can't self-serve basic account changes |
Build or improve your Help Center; enable self-serve account management |
|
Payment and billing |
Checkout friction or unclear pricing |
Fix at the source — this is rarely a support problem |
Run this categorization for your last 30 days. Your top two or three categories are your highest-leverage targets.
Ticket volume only tells part of the story. Track it alongside:
Once you know what is driving your volume, address each category at the source. The goal is to eliminate unnecessary tickets.
Automate the highest-volume, lowest-complexity tickets first. WISMO inquiries, order status checks, and basic return initiations require no agent judgment. An AI Agent connected to your ecommerce platform can handle these end-to-end without a human stepping in. When a question is too complex, the AI escalates it with full context attached.
Build self-service content around your top categories. A Help Center that directly addresses your most common ticket types is the highest-leverage tool for sustained volume reduction. Start with your top five categories. Write one article per category. Surface those articles on relevant product pages, in checkout, and in post-purchase emails — before customers need to search.
Send proactive messages at the moments that generate the most tickets. Post-purchase is the single highest-value touchpoint: an order confirmation that includes a tracking link, estimated delivery window, and a clear link to your return policy eliminates a large share of inbound questions before they are ever submitted.
Measure deflection, not just volume. Deflection rate, the percentage of issues resolved through self-service or automation, is the metric that tells you whether your volume reduction efforts are actually working. Track it weekly alongside CSAT for automated interactions to make sure quality is holding.
The all-industry average is not your benchmark. Ticket volume per 100 orders varies 2.4x across verticals, so comparing yourself to a cross-industry number will either make you complacent or create false urgency.
According to Gorgias platform data from March 2026 across 14 verticals at the $10M GMV band, here is what tickets per 100 orders actually looks like by vertical:
|
Vertical |
Tickets per 100 orders |
|
Electronics |
46 |
|
Vehicles & Parts |
46 |
|
Hardware |
41 |
|
Luggage & Bags |
32 |
|
Home & Garden |
32 |
|
Sporting Goods |
32 |
|
Baby & Toddler |
24 |
|
Business & Industrial |
25 |
|
Animals & Pet Supplies |
25 |
|
Apparel & Accessories |
22 |
|
Health & Beauty |
21 |
|
Arts & Entertainment |
21 |
|
Food & Beverages |
20 |
|
Toys & Games |
19 |
Source: Gorgias Ecom Lab, March 2026
High ticket volume is not always a sign of poor CX — it often reflects product complexity. Electronics brands generate nearly one ticket per two orders because customers have more pre- and post-purchase questions about technical products. Food and Beverage brands generate about one in five. That gap is not a performance difference; it is a category difference.
The right question is not "are we below 10 tickets per 100 orders?" It is "are we above or below our vertical peers?" Find your row. That is your baseline. Then use the reduction tactics above to move below it.
If your ticketing tool uses usage-based pricing, where your bill scales with ticket volume rather than agent headcount, forecasting volume directly affects your budget.
The core formula is simple:
Projected tickets = projected orders × (tickets per 100 orders ÷ 100)
So if you expect 2,000 orders next month and your vertical median is 22 tickets per 100 orders, your forecast is approximately 440 tickets.
But a flat monthly estimate misses the real risk: peak seasons. A volume spike during BFCM that triples your order volume will also triple your ticket count — and your bill — unless you have guardrails in place.
To build a more accurate forecast:
Before signing any usage-based contract, ask two questions: What counts as a billable ticket? And is there a hard cap on monthly charges? Variable billing only works in your favor if you have clear definitions of what triggers a charge and a ceiling on how high costs can go during an unexpected spike.
If your platform bills per ticket resolved by a human agent (not AI), your deflection rate becomes a financial metric, not just an operational one. Every percentage point of additional deflection directly reduces your bill.
Begin by identifying your top ticket categories, then work backward to find the root cause of each one.
From there, layer in self-service content, automation, and proactive messaging to address those root causes directly. The result is a support operation that handles more customers and a team that spends its time on the work that actually requires human judgment.
Book a demo to see how Gorgias helps ecommerce brands reduce ticket volume and improve customer experience at the same time.
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TL;DR:
If you're wondering what it costs to add AI Agent to your Helpdesk, you're in the right place. This article walks through how pricing works, what counts as a billable interaction, and how to think about the investment before talking to anyone on our team.
The good news: there are no seat fees, no per-message charges, and no token-based billing. You pay for conversations your AI actually resolves. If you've looked into other AI tools for customer support and found the pricing models confusing or hard to predict, Gorgias AI Agent works differently.
A billable interaction is counted when the AI resolves a customer conversation entirely on its own. The customer asks something, the AI handles it, the conversation closes. That's one interaction.
If the AI can't fully resolve a conversation and hands it to a human agent, that ticket shifts over to your regular Helpdesk plan. It becomes a standard resolved ticket. You're not charged for both.
A few things that don't count as billable interactions:
This matters most for brands coming from seat-based tools. With Gorgias, your whole team can work in the platform. Agent seats are unlimited. Pricing scales with what your AI is actually doing, not with how many people have access.
Understand the difference between seat-based vs. usage-based pricing.
AI Agent is an add-on to your Gorgias Helpdesk plan. The two are priced separately but work together. Your Helpdesk plan covers all the conversations your human agents resolve. Your AI Agent plan covers the interactions the AI resolves on its own.
When you choose a plan, you select how many automated interactions you want included per month. Depending on your plan, that ranges from 90 to 2,500+ interactions, with custom interaction numbers available for enterprise. You can see the full breakdown on the Gorgias pricing page.
Each resolved conversation costs $0.90 on most plans. Starter plans begin at $1 per resolved conversation. You only pay for fully automated interactions, meaning conversations the AI handles from start to finish without a human stepping in.
The main input is your average monthly ticket volume. From there, you estimate how many of those conversations AI could realistically handle on its own.
Order status updates, return requests, and shipping questions tend to be the highest-volume ticket types AI resolves well. AI Agent actions shows the full range of what it can handle, which makes it easier to estimate your starting number.
Your actual automation rate, meaning the share of total tickets the AI ends up resolving, emerges from usage over time. Most brands start with their most repetitive ticket types and expand from there as they see results.
Related: Which Gorgias plan should you choose?
You're charged an overage fee for each additional automated interaction if you exceed your plan's baseline in a given month. The exact rate depends on your plan tier and whether you're on a monthly or annual subscription.
Generally, the higher your plan tier, the lower your overage rate. Annual plans also carry lower overage rates than monthly plans. So if you're regularly going over, upgrading to a higher tier or switching to annual often works out cheaper than paying overage fees month after month.
If you're on a Support + Shopping Assistant plan, the overage rate is $1.50 per interaction across all paid tiers. If you're on a Support-only plan, rates range from $1.00 to $2.00 per interaction on monthly plans, and $0.83 to $1.67 on annual plans, depending on your tier.
For seasonal businesses, forecasting your customer service volume before peak periods is the best way to choose the right plan size and avoid unexpected fees.
At $0.90 per resolved interaction on most plans, each AI resolution costs less than a human agent handling the same ticket. Once you know what a human-resolved ticket costs your business, the comparison becomes straightforward.
For brands building an internal case for the investment, how to pitch AI Agent to your boss covers the ROI framing in detail.
To see what results look like in practice, how 10 brands transformed customer support into revenue has real ecommerce examples.
AI Agent comes with everything you need to set it up, customize it, and improve it over time:
Learn more: Gorgias AI Agent guardrails: What they are and how to configure them
The best way to get a sense of what AI Agent will cost is to look at your own ticket volume and the types of questions your customers ask most. From there, the right plan becomes much clearer.
If you want to talk through the numbers with someone from our team, book a demo and we'll walk through it with you.
If you'd rather keep exploring first, here are a few good next reads:
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TL;DR:
Helpdesk 2.0 starts with the people who use it most: the agents.
We spent time understanding customer support from the agent's seat. What do they reach for constantly? What slows them down? What does a better workday look like?
Everything we found is in this brand-new update.
Conversational commerce is the new standard.
In customer support, this means customers expect context to remain intact wherever they reach out, whether a conversation starts on social, moves to email, or ends on a call.
This new approach to support has also changed the agent's role. Recurring tickets, like order status checks, shipping updates, and returns, are now handled by AI. What lands in the agent inbox are edge cases that require human judgment and troubleshooting, or tickets that require the full picture.
However, the original Helpdesk was built for a different era of support.
Context was separated across views rather than built into the conversation itself. It's something one in five Gorgias customers flagged, through support tickets, NPS surveys, and conversations with our team. So, we got to work.
Helpdesk 2.0 is the result.
Here's a look at everything that changed.
Conversations have a natural rhythm, one that’s already found in every messaging tool we use. We brought that same layout into the helpdesk.
Say goodbye to the 2000s email interface and hello to chat bubbles. This updated design changes how quickly you can orient yourself and resolve the ticket in one go.

Chats with customers now look like real conversations, using the speech bubble style you’re familiar with on popular messaging apps.
Checking a customer's history used to mean leaving the conversation, an extra step that interrupted what should have been a smooth workflow.
Now, past conversations open in a sidebar next to the active conversation. You can view a customer’s full history, search through their timeline, and open prior tickets without going to a new page.

Check past conversations, orders, and customer details in the brand-new Customer Timeline.
Order information is easier to reference than ever. Open a ticket, and you instantly see the customer's recent orders, marked with product images and invoice details at a glance. Need to dig deeper? Click on an order, and the expanded information appears in the same panel.
For teams using custom integrations, apps are fixed in a quick-access integration menu on the right.

See order details, product images, and totals at a glance on the right panel, without leaving the conversation.
You shouldn't have to dig through a thread to figure out what AI already tried. Now you don't have to.
When AI Agent escalates a conversation, it includes a concise handover summary that mentions the issue, what actions were taken, and why it was passed to your team.

Escalated tickets include a brief AI-generated handover summary, marked in yellow, for quick reference.
We restructured and simplified the navigation. The left sidebar organizes everything into clear categories: Inbox, AI Agent, Marketing, and Analytics, so anyone on your team knows exactly where to go.
To quickly update your knowledge base or adjust a workflow, both now live right in the sidebar. For teams managing multiple stores, switching between them is just as straightforward, accessible from the sidebar, so agents can move between inboxes without breaking their flow.

Agents can switch between stores and their corresponding inboxes directly from the left menu.
Support comes down to the person on the other end of the conversation. We built Helpdesk 2.0 is to make sure they have everything they need to show up for that moment.
The best way to see the difference is to work in it. Start a free trial today.


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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TL;DR:
If you're spending more than an hour a day answering the same customer questions, here's what to do: (1) write canned replies for your top 5 questions, (2) set up an auto-responder, (3) add a chatbot or self-service page for order tracking. That's the starter kit. This guide walks you through each step.
Your automation roadmap lives in your last 50 tickets — and an LLM can build it for you in two minutes.
Most small teams skip this step and go straight to buying a tool. Then the tool underperforms because it was never configured to answer the right questions. The audit takes less time than a support shift and tells you exactly what to automate first.
Here's how to pull your tickets, depending on where they live:
Open your Sent folder and filter by the last 30 days. Select all, copy the subject lines, and paste them into ChatGPT or Claude.
Go to Inbox > Conversations. Copy the opening line of your 20–30 most recent conversations and paste them into ChatGPT or Claude.
Every major helpdesk has a ticket export in Settings or Reports. Search "export tickets" in your helpdesk's help center — it takes one search and two clicks. Download the CSV, open it, copy the subject line column, and paste it into ChatGPT or Claude.
Once your tickets are in, use this prompt:
"Here are customer support messages from my ecommerce store. Group them by question type, count how many fall into each group, and rank the top five most common questions by volume."
The AI will return a ranked table. A few things to pay attention to:
The top one or two categories will likely make up the majority of your tickets. Look at the highest-ranked row first. If it accounts for more than 20% of your total ticket volume, that's your first automation. Don't move on to the next category until that one is handled. For most ecommerce brands, WISMO (where is my order) sits at the top, sometimes accounting for 30–50% of all tickets on its own.
Watch for anything marked "human" that surprises you. The AI flags questions that seem to require judgment. Some of those are right. A damaged item complaint needs empathy, not a template. But occasionally a question gets flagged as "human" simply because your tickets are vaguely worded. If you see that, skim the actual messages before deciding. You may find it's more automatable than it looks.
Look for questions that are almost the same. "Where's my package," "tracking update," and "hasn't arrived yet" are three ways shoppers ask the same question. The AI may group them together or may not. If you see similar categories sitting separately, combine them. That will surface the real volume and move them up your priority list.
Ignore anything under two or three tickets. Edge cases aren't worth building automation for yet. You're looking for patterns, not exceptions.
That output is your to-do list for the rest of this guide. The rows marked "automate" at the top of the ranking are where you start.
You don't need a sophisticated tech stack to automate customer service. You need three tools, set up in the right order.
Think of this section as your ingredients list before the recipe. Each tool below has a free entry point, a clear use case, and a signal for when to upgrade. Start with what matches your current volume, not what looks most impressive.
A canned reply is a saved response you insert with one click. It's the fastest, cheapest automation available, and it works inside whatever tool you already use.
What it solves: The time you spend retyping the same answers every day. Return policy questions, order confirmation follow-ups, shipping timelines — any ticket where your answer is the same every time is a candidate.
Free options:
Upgrade when: You need to pull in live order data automatically, like a customer's tracking number or order status, without copying and pasting it yourself. That's when a helpdesk with dynamic variables becomes worth the cost.
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A chatbot handles your most common questions in real time, directly on your website, before a shopper ever sends an email. The best entry-level bots require no coding — you write the question, write the answer, and set the trigger.
What it solves: WISMO questions, basic policy questions, and anything shoppers ask outside business hours. A single automated flow for order tracking can deflect a large share of your weekly ticket volume on its own.
Free options for Shopify stores:
Free options if you're not on Shopify:
Upgrade when: Your bot hits its monthly conversation limit on the free plan, or you need it to take actions beyond answering questions, such as processing a return or updating a subscription.
Read more: Best customer service chatbots for ecommerce
A self-service page is a public, searchable page where shoppers find answers before contacting you. It deflects tickets you never even see, which makes it the highest-leverage tool on this list.
What it solves: Repeat questions that come in via email because shoppers couldn't find the answer on your site. If your return policy, shipping times, and sizing information aren't easy to find, shoppers contact you instead. A help page fixes the source of the problem.
Free options for Shopify stores:
Free options if you're not on Shopify:
Upgrade when: You want to see which help articles get the most traffic, or you need search functionality and a branded experience that matches your store.
Here's exactly what to build, and in what order.
Start with Step 1 before touching anything else. Each step reduces your ticket volume before the next one starts. Skipping ahead means building automation on top of a problem you haven't solved yet.
Take the top five ticket types from your audit. You're going to write one saved reply for each.
A good canned reply has three parts: an acknowledgment that you received the question, the actual answer, and a next step or offer to help further. Keep each one under 150 words. The goal is fast and clear, not comprehensive.
Here are five templates you can copy:
1. Where is my order? (WISMO)
Hi [first name], thanks for reaching out. Your order is on its way — you can track it in real time here: [tracking link]. Your estimated delivery date is [date]. If anything looks off or you haven't received an update in 48 hours, reply to this email and we'll look into it straight away.
2. Return or exchange request
Hi [first name], happy to help with that. You're within our [X]-day return window. Start your return here: [returns portal link]. Once we receive your item, we'll process your refund or exchange within [X] business days. Let us know if you have any questions along the way.
3. Order cancellation
Hi [first name], got your message. If your order hasn't shipped yet, we can cancel it and issue a full refund within [X] business days. I'll check the status now and follow up shortly. If it's already on its way, we can get a return started as soon as it arrives.
4. Product question (size, fit, or variant)
Hi [first name], great question. [Insert your answer here — size guide link, ingredient list, material details, etc.] If you're still not sure which option is right for you, reply here and we'll help you figure it out.
5. Wrong item or damaged order
Hi [first name], we're really sorry about that. That's not the experience we want you to have. Can you reply with a photo of what you received? Once we have that, we'll get the right item sent out or a full refund processed for you right away. No need to return the incorrect item.
Once you've written your five replies, save them using the instructions in the toolkit section above — Gmail Templates, Outlook Quick Parts, or your helpdesk's macro feature. Name each one clearly so you can find it in under five seconds.
An auto-responder is an automatic reply that goes out the moment a shopper emails you. It does two things: it confirms their message arrived, and it sets an expectation for when they'll hear back. Both reduce follow-up emails.
Write one now. Keep it to three sentences:
Hi [first name], thanks for contacting [store name]. We've received your message and will get back to you within [X hours/by end of day]. In the meantime, you may find an answer faster on our help page: [link].
To set this up in Gmail:
Go to Settings See all settings > General > scroll to Vacation responder. Turn it on, write your message, and set no end date. This isn't a perfect solution for a permanent auto-reply, but it works. A cleaner option is to create a Gmail Filter: go to Settings > Filters and Blocked Addresses > Create a new filter > set it to match all incoming mail > select Send template > choose the template you saved in Step 1.
To set this up in Outlook:
Go to File > Automatic Replies > turn on automatic replies > write your message > click OK.
One important note: Be honest about your response time. If you can realistically reply within four hours on weekdays, say that. If your team is small and weekends are slow, say "within one business day." Shoppers don't mind waiting. They do mind not knowing.
WISMO is the single highest-volume ticket type for most brands. It's also the easiest to automate, because the answer is always the same: here's your tracking link. This step sets up a chatbot flow that handles that question automatically, on your website, before it ever becomes an email.
Pick one of the free Shopify apps from the toolkit section and install it. The setup process is similar across all of them:
Most free Shopify chatbot apps connect to your store in one click during onboarding. They'll read your store's order data and product pages automatically, which means they can pull a shopper's tracking information without any manual input from you.
In the app's dashboard, look for a section called Flows, Automations, or Bot Builder. Create a new flow and set the trigger to phrases like "where is my order," "track my order," "order status," and "hasn't arrived." These are the exact phrases shoppers type.
Set the response to pull the shopper's order status and tracking link automatically. Most Shopify-connected apps can do this natively — look for an Order Tracking or WISMO template in the flow builder, which many apps include by default.
Every flow needs a fallback for when the bot can't find an answer. Write something like: "I wasn't able to find that order. Can you confirm your order number or the email address you used at checkout? Or tap below to reach our team directly." Always give shoppers a clear path to a human.
Place a test order, then open your own chat widget and type "where is my order." Make sure it returns the right information. Check the fallback by typing something the bot won't recognize. When both work correctly, turn the flow live.
Your help page is the only tool on this list that deflects tickets before they start. A shopper who finds your return policy on their own never emails you. That's the goal.
Install one of the free FAQ apps from the toolkit section, or open a new Notion page if you're not on Shopify. Then write answers to the same five questions from Step 1.
Use this prompt to write your FAQ content quickly:
"I run an ecommerce store that sells [product type]. Write clear, friendly FAQ answers for these five questions: (1) How do I track my order? (2) What is your return policy? (3) How do I cancel or change my order? (4) What do I do if I receive the wrong item or a damaged product? (5) [Insert your fifth most common question]. Keep each answer under 100 words and use a friendly, direct tone."
Paste the output into your FAQ app or Notion page. Make sure every policy detail matches what you actually do. Then add the link to your help page in two places: your website's navigation menu, and the auto-responder you set up in Step 2.
A help page no one can find doesn't deflect anything. Those two placements are the minimum.
Most guides hand you a dashboard full of KPIs at this stage — for a small team running automation for the first time, all you need is two numbers.
The percentage of questions that get answered without you. Every question your chatbot, canned reply, or help page resolves on its own is a deflected ticket.
How to find it: Compare your total ticket volume this week to last week. If volume is dropping while your order volume stays flat, automation is working. If you're using a chatbot app, the free dashboard will show a conversations handled count. That number divided by your total inbound questions is your deflection rate.
What good looks like: Any downward movement in the first two weeks is a win. Above 20% means your automation is pulling real weight.
What to do if nothing's moving: The cause is almost always the same. Your flows aren't matching the exact phrasing shoppers use. Go back to your audit output and compare the trigger phrases in your chatbot to the actual wording in your tickets.
How long shoppers wait before hearing from you. Your auto-responder brings this to zero for the initial acknowledgment — your actual reply time is what this tracks.
How to find it: On a helpdesk, it's in your reports dashboard. On Gmail, sort your sent folder by thread and spot-check five recent conversations. Calculate the average time between the shopper's first message and your first real reply.
What good looks like: Under two hours on business days. If you're consistently over four hours, the chatbot and help page deflection from Steps 3 and 4 becomes more urgent — fewer tickets in means faster replies on the ones that remain.
When to check: End of week one and end of week two. That's enough data to know whether your setup needs adjustment before you add anything new.
These three signals tell you it's time to upgrade your automation process.
|
Signal |
What it means |
What to do next |
Tool |
|
Still spending 1+ hours/day on tickets despite canned replies |
Volume has grown past what templates alone can handle |
Move to a helpdesk with automation rules and a shared inbox |
Gorgias |
|
Chatbot resolving less than 30% of conversations |
Shoppers aren't getting answers — flows have gaps |
Audit unanswered conversations before upgrading tools |
ChatGPT or Claude to diagnose, then upgrade your chatbot |
|
Ticket volume growing week over week, response time slipping |
You've hit the ceiling of a solo free-tool setup |
Consolidate into a single platform with Shopify integration |
Gorgias |
What it means: Your canned replies are saving time, but volume has grown past what templates alone can handle.
What to do next: Move from canned replies to a helpdesk with automation rules. A helpdesk lets you auto-tag tickets by topic, auto-route them by type, and trigger responses automatically based on conditions, without you touching each one. It also gives you a single inbox for email, chat, and social messages, so nothing falls through the cracks.
What to look for in a paid tool: A helpdesk that connects directly to Shopify, so your inbox and your order data are in the same place. That single integration eliminates most of the manual copying and pasting.
What it means: Shoppers are starting conversations but not getting answers. The bot is running but not deflecting.
What to do next: Before upgrading tools, audit your flows. Export your chatbot's unanswered or escalated conversations and paste them into ChatGPT or Claude with this prompt:
"Here are conversations where my chatbot failed to resolve the customer's question. Identify the most common gaps — questions the bot couldn't answer — and suggest the five highest-priority flows I should add."
If you've filled the gaps and resolution rate is still low, that's when a more capable AI chatbot is worth the cost. Look for tools that connect directly to your Shopify order data and can take actions, not just answer questions.
What it means: You've hit the ceiling of what a solo setup can handle. Automation is helping but can't keep up with growth.
What to do next: This is the point where a unified platform — one that connects your inbox, your chatbot, your help center, and your Shopify data in a single place — starts paying for itself. Managing three separate free tools becomes more time-consuming than the cost of consolidating them.
What to look for in a paid tool: Direct Shopify integration so agents and bots can pull live order data, automation rules that trigger actions not just responses, and a help center that's searchable and tracked. Gorgias is built for exactly this situation. It’s a helpdesk designed specifically for ecommerce brands that need support, automation, and order data in one place.
You've got your starter kit running. These Gorgias guides cover each category in more depth when you're ready to level up.
Once your free stack is running, the natural next step is bringing everything — your inbox, your chatbot, your help center, and your Shopify order data — into a single platform like Gorgias.
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 can actually reduce the number of incoming tickets with automation. And with all that time saved, the team can have a huge impact on the 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 of the customer journey, from pre-sale shopping questions to post-purchase support.
An unprepared or understaffed support team is the quickest way to kill your BFCM success. With AI adoption among ecommerce brands hitting 96% in 2026, the brands that win peak season are the ones that prepare their AI and their team in advance. BFCM 2026 runs Friday, November 27 through Cyber Monday, November 30, so the time to get ready is now.
Here are five steps to make your support team the hero of BFCM 2026.
Proof it works under pressure: During BFCM 2025, Cornbread used Gorgias to lift Shopping Assistant conversion from a 20% baseline to 30%, cut first response time from over two minutes in 2024 to 21 seconds in 2025, and grow attributed revenue by 75%. Tickets doubled, but AI handled 400% more tickets than the prior year, and CSAT held flat.
Ecommerce sales depend on clear policies around shipping, returns, lost packages, and more. When customers don't know your policies, they will 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 team is stuck answering repetitive questions like "What's your shipping policy?" when customers should have easy access to that information on their own. In the second, you're directly losing 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
Shipping and returns policies: where to put them. Make your shipping policy (including the order cutoff date), returns, and exchanges policy visible everywhere a customer looks:
Action plan: Audit every policy now, set tiered SLAs by ticket priority and channel in your helpdesk, and publish your BFCM cutoff dates everywhere above before traffic ramps.
Your agents have more important things to do than answer the same basic questions over and over. The trick: set up self-service resources so customers can help themselves.
That means making information easy to find and using automation to answer simple, repetitive questions ("What size am I?", "Where's my order?") while keeping your FAQ and Help Center current.
With Gorgias, AI Agent resolves these tier-1 questions end to end across chat, email, and social, drawing on your Help Center and order data. Its Shopping Assistant role answers pre-sale questions and recommends products to drive conversion, while its Support Agent role handles post-sale tickets like order status and returns. Reserve your human agents for the conversations that genuinely need judgment and empathy.
Action plan: Before BFCM, refresh your Help Center, expand AI Agent guidance for your top seasonal questions (promos, shipping cutoffs, returns), and confirm handover topics so the right tickets reach humans.
You can't staff for a wave you haven't measured. Forecasting ticket volume comes down to two ingredients: your contact rate and your projected order volume.
Use your contact rate to project ticket volume. Estimate how many orders you'll see over BFCM, then apply your average contact rate. To project order volume, look at:
Estimate the agents you need, based on past capacity. Run a report for tickets resolved per full-time agent over a set period (in Gorgias, under Statistics > Agents), use the average as your capacity benchmark, then divide forecasted ticket volume by that number to find how many agents you need. As a reference point, many brands treat 40 to 60 tickets per day per agent as a healthy benchmark.
Action plan: Build the forecast now, identify the staffing gap, and decide how much of it AI Agent closes versus temporary headcount.

Speed wins during BFCM. Shoppers are comparing options and checking out competitors, so a slow reply is a lost sale. Here are six ways to improve response time with Gorgias:
First response time benchmarks by channel:

How to calculate first response time (FRT): FRT = total time to first reply divided by number of tickets. Track from inquiry receipt to first meaningful reply (exclude autoresponders), count only business hours, and use the median to avoid outlier skew.
Action plan: Set tiered SLAs, turn on breach alerts, and route by intent so your fastest path (AI and self-service) carries the volume.
Analytics reveal where delays actually occur. You might assume slow response times come from understaffing, but the data could show the real issue is ticket misrouting or agents spending too long on low-priority tickets. Without measurement, you're guessing.
The Gorgias reporting dashboard tracks first response time, next response time, SLA adherence, and agent performance across channels, time periods, and ticket types. You can see which channels are slowest, which hours create bottlenecks, and which agents need coaching.
Reporting takeaway for leadership: Tie CX metrics to revenue. Report resolution rate, AI deflection, conversion influenced by Shopping Assistant, and revenue protected, not just ticket counts. That is the view your executives care about during peak.
Action plan: Stand up a BFCM reporting view before the weekend, set a daily review cadence, and pre-build a recovery plan for when volume spikes past forecast.
Gorgias is the Conversational Commerce platform for Shopify brands: Helpdesk, AI Agent, and Voice in one place, so you can scale support, protect CX, and turn peak-season conversations into revenue.
Book a demo or start with AI Agent today.

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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Customer service covers a wide range of job titles, each with its own responsibilities, from answering phones at a call center to setting up automations and building customer retention strategy.
If you are looking for a job in customer service, you are in the right place. Customer support is a strong way to transition industries and build toward a rewarding career. Below you will learn about 7 types of customer service roles, including daily duties, qualifications, and salary ranges.
If you are hiring, you can adapt the job description templates in each section. And because the role of support is changing fast, each section also covers how AI is reshaping the job in 2026.
One thing has not changed: the best support teams give everyone a stake in the customer experience, regardless of title.
Short answer: AI does not eliminate customer service roles, it changes what each one spends time on. AI agents now resolve a large share of repetitive, tier-1 tickets automatically, which shifts human teams toward complex problem-solving, oversight, and strategy.
Modern platforms like Gorgias combine a Helpdesk with an AI Agent that handles both pre-sale shopping questions and post-sale support, so teams scale conversations without adding headcount.
What they do: The most junior role on a support team. Customer-facing frontline employees who receive incoming messages and calls, answer basic questions, and pass along complex or technical issues. Even here, Agents improve workflows, tag and organize requests, and pass along feedback. A great starting point for recent graduates or career-changers.
In 2026: AI Agents resolve many repetitive questions (order tracking, simple returns, FAQs), so the human Agent role centers on conversations that need a person.
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.

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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What they do: 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.
In 2026: Specialists review and refine AI-drafted replies on tougher tickets, applying human judgment where it matters most.
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 gives Team Leads a clear view of each agent's CSAT, response times, resolution time, and conversion rate to guide coaching. Gorgias Academy offers courses to help agents upskill, including how to get the most from the Helpdesk.
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.

What they do: Directly manages a team of Agents. Spends less time on tickets and more on hiring, onboarding, training, and coaching. Most companies separate this from the Manager role: the Team Lead manages people, the Manager manages strategy and business impact.
In 2026: Team Leads coach with AI quality scoring and conversation analytics, spotting coaching moments across far more tickets than they could review by hand.
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.

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.

What they do: Implements the department's tools and strategy. Focuses on setting up tools and automation, keeping the team aligned to business goals, and reporting on performance.
In 2026: Increasingly owns the AI Agent setup, deciding which workflows to automate, tuning them, and reporting on automation rate and cost-to-serve.5. Technical Support Engineer
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.

The Manager can also review the performance of these (and other) automations to understand the impact and find areas for improvement.

What they do: Helps customers with software and IT issues. Most work for SaaS companies, universities, hospitals, or large organizations supporting technical equipment.
In 2026: AI handles tier-1 triage and routing, so engineers spend more time on deep technical resolution and documentation.
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].
What they do: Maintains client relationships. Does not answer tickets. Meets regularly with clients to understand goals, implement solutions, and keep them satisfied. Most work for SaaS companies, agencies, and client-based businesses.
In 2026: CSMs use AI signals such as sentiment and account health to prioritize at-risk accounts and intervene before churn.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
What they do: Oversees the entire department and reports to executive leadership. Manages the budget, reports to executives, and shapes the department's future. The most senior role here, though larger organizations may add a VP of CX or Chief Customer Officer.
In 2026: Directors report on AI automation rate, deflection, and cost-to-serve to leadership, framing support as a profit and retention driver, not just a cost center.
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 offers dashboards Directors can use to communicate performance to leadership, including support benchmarked against other teams in your industry and your team's contribution to revenue.

While you build a dedicated team, consider asking non-support members to spend time answering tickets. This helps them understand customers, cover busy seasons like Black Friday Cyber Monday, and appreciate the value of good support.
If you use Gorgias, you are in luck. While nearly every other helpdesk charges per seat, Gorgias gives you unlimited seats so everyone can get involved 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:

Want to learn about how Gorgias can help you make your customer service team more efficient and effective? Claim your demo today.

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 |
|---|---|
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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 |
|
FAQs |
Deflects repetitive tickets through automation, freeing agents for complex conversations |
|
High-value customers |
Offers high-touch service that reinforces loyalty and drives repeat purchases |
|
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:
|
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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TL;DR:
Customer complaints arrive from every channel, often when you're least prepared. Your response can either salvage the relationship or push a shopper to a competitor. This guide provides a step-by-step process and templates for handling common complaints effectively.
Handling customer complaints follows a consistent framework, regardless of the issue. Following these five steps ensures you address concerns professionally while maintaining customer trust. Apply this process to every complaint, then customize your response using the templates below.
Respond within one hour when possible. Send a quick acknowledgment even if you need time to investigate. This lets the shopper know you received their message and are working on it.
Read or listen to the full complaint without interrupting. Review the customer's order history, past interactions, and account details. Ask clarifying questions if needed, but avoid making assumptions about what went wrong.
Use "I" or "we" statements like "We apologize for this error" instead of "I'm sorry you feel that way." Don't blame the customer, make excuses, or deflect responsibility to another team or system. For example: "I apologize for this shipping delay. We should have communicated the extended timeline upfront." This takes ownership rather than saying "Unfortunately, the carrier experienced delays."
Provide specific next steps (refund, replacement, credit, etc.) and set realistic expectations for when the issue will be resolved. Give options when possible so the customer feels in control. For example: "I can either ship a replacement with expedited delivery (arrives in two business days) or process a full refund today. Which would you prefer?"
Confirm the issue is resolved to the customer's satisfaction. Ask for feedback on how you handled the complaint. Use these insights to prevent similar issues in the future.
Use the "feel, felt, found" framework to show empathy:
"I understand how you feel about receiving the wrong item. Other customers have felt the same way when this happened. What they found was that our express replacement process resolved the issue within 48 hours. That's exactly what I've set up for you."
This framework validates the customer's emotions, normalizes their experience, and redirects toward a positive outcome.
Use this template when a customer's order is delayed beyond the expected delivery date.
Hi [First name],
I'm sorry your order hasn't arrived yet. I know this is frustrating.
I've tracked your package via [carrier], and it's currently listed as "[status]." You can track it here: [tracking link]
Based on the current status, your order should arrive by [updated delivery date]. If it doesn't arrive by then, please contact me directly at [email/phone] and I'll make it right.
Thanks for your patience,
[Agent name]
With Gorgias Macros, you can automatically pull tracking data and delivery dates into this template. This saves time while personalizing each response.
Use this template when a customer didn't receive shipping confirmation or tracking information.
Hi [First name],
I apologize — you should have received shipping confirmation by now.
Your order shipped on [date] via [carrier]. Here's your tracking number: [tracking number]. You can track it here: [tracking link]
Your order should arrive by [delivery date]. I've also set up automated shipping notifications for your account so you'll get updates on future orders.
Let me know if you have any questions,
[Agent name]
Use this template when a customer receives the wrong item, is missing items from their order, or receives damaged goods.
Hi [First name],
I'm so sorry about this mix-up. This shouldn't have happened.
[If damaged: Could you please send a photo of the damaged item to this email? This helps us improve our packaging process.]
Here's what I'm doing to fix this:
Shipping the correct item today with expedited delivery at no extra cost
[If wrong item: You can keep or donate the incorrect item. There is no need to return it.]
[If damaged: Processing a full refund/replacement once I receive your photo]
You'll receive tracking information within the next few hours. If you have any other questions, reply to this email or call me at [phone].
Thanks for your patience,
[Agent name]
Use this template when a customer complains about a negative interaction with your support team.
Hi [First name],
I'm sorry you had that experience with our team. That's not the level of service we expect from ourselves, and I take full responsibility.
I've forwarded your feedback to our customer experience team and the agent's manager. We're using this to improve our training so it doesn't happen again.
I'd like to make it up to you with [discount code / store credit / free shipping on next order]. Here's your code: [code]
Thank you for letting us know. Your feedback helps us get better.
[Agent name]
Did you know? Gorgias Auto QA uses AI to score every support interaction, helping managers identify and coach agents who need additional training.
Use this template when a customer wants a product that's currently unavailable or out of stock.
Hi [First name],
Thanks for your interest in [product name]. Unfortunately, it's currently out of stock.
[If restock date known: We're expecting new inventory by [date]. I can add you to our waitlist and send you an email as soon as it's back in stock.]
[If no restock date: I don't have a confirmed restock date yet, but I can add you to our waitlist and notify you as soon as it's available.]
In the meantime, here are some similar products you might like: [product links]
Let me know if you'd like me to add you to the waitlist or if you have any questions about the alternatives.
[Agent name]
Use this template when a customer is following up on an unanswered inquiry or complaining about slow response times.
Hi [First name],
I'm sorry for the delay in getting back to you. Your message deserved a faster response.
[Address their original question/issue here with specific solution]
I've also added my direct contact info, so you can reach me immediately at my email, [email], or by phone at [phone].
As an apology for the delay, here's [discount code / store credit]: [code]
Thanks for your patience,
[Agent name]
Use this template when a customer was charged incorrectly or sees an unexpected charge on their account.
Hi [First name],
You're right — you shouldn't have been charged [amount/description].
I've processed a full refund of [amount]. It should appear in your account within [number] business days, depending on your bank.
I've also updated your account to prevent this from happening again. [If applicable: Here's what caused the error: [brief explanation]]
If you notice anything else unusual or have questions about the refund, please let me know.
[Agent name]
Use this template when a customer reports a technical problem with your website, app, or product functionality.
Hi [First name],
Thanks for reporting this issue. I'm sorry you're experiencing this problem.
I've forwarded your report to our technical team. [If known: Here's what's causing the issue: [brief explanation]]
[If workaround available: In the meantime, here's a workaround you can try: [instructions]]
We're working on a fix and expect to have it resolved by [timeline]. I'll follow up with you once it's fixed.
Thanks for helping us improve,
[Agent name]
Beyond following a process and using templates, these best practices help you handle complaints more effectively. Personalization and the right tools make the difference between a one-time fix and a long-term customer relationship. Apply these practices to every complaint response.
Use the customer's name throughout your response. Reference their specific order number, product, or issue details. This shows you read their complaint and aren't sending a generic copy-paste response.
Take responsibility with "I" or "we" statements like "We made a mistake" instead of "The system had an error." Don't blame the customer, deflect to another department, or make excuses. Even if the issue wasn't entirely your fault, act as the brand representative and own the resolution.
Avoid phrases like "I'm sorry you feel that way" or "Unfortunately, our policy states." These sound defensive and dismissive. Instead, say "I apologize for this error" and explain what you're doing to fix it.
A shared inbox like Gorgias Helpdesk centralizes complaints from email, chat, social media, and Short Message Service (SMS) into one view. Your team can see who's handling each complaint, add internal notes, and collaborate without forwarding emails or switching tabs.
Macros (pre-written response templates) save time while maintaining personalization. They automatically fill in customer details like name, order number, and tracking links. You can create Macros for your most common complaint scenarios, then customize them for each customer.
Tags and Views help you organize complaints by type (shipping, billing, product quality) so you can spot patterns and prevent future issues. The AI Agent can handle repetitive complaints 24/7. It resolves issues like order tracking and returns instantly while escalating complex cases to your human team.
Gorgias centralizes customer complaints from every channel into a single shared inbox. Your team sees the full shopper timeline, including past orders and conversations, so they have context before responding.
Macros let you create templates for common complaints and automatically fill in customer-specific details like name, order number, tracking links, and delivery dates. AI Agent takes this further by resolving repetitive complaints instantly, 24/7. It handles order tracking, returns, cancellations, and FAQs using your brand's voice and policies.
Gorgias integrates with Shopify, shipping carriers, and returns platforms like Loop. This means you can update orders, process refunds, and generate return labels directly from the helpdesk — no tab-switching required. Tags and reporting show you complaint trends over time, helping you identify and fix root causes.
See how Gorgias can transform your complaint handling. Book a demo to get started.
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