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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.
The best in CX and ecommerce, right to your inbox

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.
{{lead-magnet-2}}

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.


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

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

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

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

Approximately 95% of customers say that customer service is important to their choice of and loyalty to a brand. And 80% of customers consider the experience a company provides as important as its products.
These are just a few of many key customer service statistics, but enough to prove that an excellent customer service experience impacts your bottom line.
When you take time to answer customers’ questions on social media and live chat, you build trust with them and make them feel safe to buy from you.
When you’re proactive in reducing returns, you have a chance to turn them into new sales. Your customer might be satisfied with an exchange instead of asking for a refund.
That strengthens your brand confidence and encourages customers to come back to your store.
After all, retaining an existing customer is five times cheaper than finding a new one. By delivering exceptional customer service, you give your customers a convincing reason to stay with your business forever.
GMV is helpful if you’re selling on marketplaces like Etsy, Amazon, or Alibaba. But as said earlier, you shouldn’t focus too much on improving GMV. There are more important ecommerce KPIs you should follow to measure how your store performs.
Also, it’s one thing to increase GMV; it’s another thing to maintain excellent customer service when you have more orders. Take care of your customers first to create an incredible shopping experience for them, and you’ll improve your bottom line sooner or later.
If you’re looking for a solution to help you handle a flood of customer requests, let Gorgias lend you a hand.
Sign up for a Gorgias account and enjoy all the features you need in an ecommerce help desk in a 7-day free trial.
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You went back to check your store and noticed an error in the checkout page settings, preventing customers from making payments on your store.
Do you think you would experience the moment of dread in that situation?
I bet you would.
When you’re launching an online store, there are many details to remember—and those details can make or break your business's success.
However, by having a rock-solid ecommerce launch checklist in place, you can eliminate errors and rid yourself of “dread” moments forever.
The following checklist will help you figure out the key things you need to get ready when launching your online store. Think of it as a quality-assurance check for your ecommerce launch.
Let’s jump in.
Your ecommerce website is where customers will visit to learn more about what you’re offering. It’s also where shopping activities happen.

Hence, ensure your website includes these most recommended standard pages:
A worthy note is that your ecommerce website doesn’t have to include a blog page. It depends on your marketing strategy, product types, and target audience (more on that later).
A listing page or a category page is where customers discover your products associated with a specific category. It’s useful for keeping your website coherent and helping customers find what they’re looking for quickly. You can take listing pages to a whole new level by using them to increase conversions and enhance your overall SEO.

Ensure you include the following elements in your listing pages:
Product pages are where the buy buttons show up. But they’re also where many other things can go wrong: lack of trust, unclear information about products, etc. That’s why each product page must be optimized as much as possible.

Keep in mind the following:
The shopping cart is where shoppers review their selected items and make the purchasing decision. The goal of this page is to lead shoppers to the checkout page.
Follow these tips to create an effective shopping cart:
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The checkout page is where cart abandonment often happens. So ensure you review it carefully as much as possible.

Remember these to build a high-converting checkout page:
Many ecommerce websites rely on social media or paid advertising to drive conversions. They ignore entirely or put together with little consideration of search engine optimization (SEO).
But ecommerce SEO is worth investing in because 44% of people start their online shopping journey with a Google search. Also, 37.5% of all traffic to ecommerce sites comes from search engines.

Keep in mind the following:
Recommended reading: SEO for ecommerce, Dominate Google in 10 Easy Steps.

On an ecommerce website, conversions are critical. Check out the following to make sure your store is optimized for high conversion rates:

Every ecommerce platform offers an app store filled with amazing apps to extend your commerce store’s functionality and grow your business. That’s why you should find the most essential apps and install them into your store:
Here are some app types you should consider:
Good customer service means better customer retention and more sales. That’s why choosing the right helpdesk is crucial for your online business. It’ll not only help you provide the best customer support, increase engagement, and convert more sales in the process but also seamlessly integrate with your current ecommerce platform.
For ecommerce businesses, Gorgias is an ideal solution as it’s an ecommerce-dedicated ticketing system and has tight integration with Shopify, BigCommerce, and Magento.

Here is what Gorgias offers:

Using email marketing is one of the best ways to develop and maintain a good relationship with customers. If your ecommerce business hasn’t taken the time to adopt email marketing, you’re likely leaving money on the table.
Here are the eight most important emails for ecommerce:
The U.S. now has over 230 million active social media users, with nearly 7 million added in 2019. That doesn’t mention the fact that ecommerce sales are heavily influenced by social media. Since your customers are very likely already on some social platforms, you might want to go where they are.

Keep the following in mind:
Recommended reading: Master Social Media Marketing for Ecommerce in 10 Easy Steps
It’s essential to set up analytics tracking and monitoring from day one because doing that will give you valuable insights into your visitors and customers.

Your ecommerce platform has its own set of analytics reporting built-in, but you may also want to consider trying these tips:
Also, be sure you understand the importance of the following ecommerce metrics:
The secret to ecommerce success isn’t just to get your products out there and see how they perform. You need a marketing plan to bring your products to potential customers and convince them to buy.
Without a marketing plan, you might miss out on the fact that “More and more brands are competing for the same eyes. Facebook’s algorithm rewards video and motion-based creative that are more likely to hook your audience quickly. And customers are also more demanding, impatient and curious than ever before,” as Scott Ginsberg, Head of Content, Metric Digital says.
Ensure your marketing plan includes:
One of the best ways to reduce abandoned carts is by providing as many payment methods as possible since everyone has different preferences.

Consider integrating these payment options:
Regarding credit cards, you need to set up payment authorization to capture payment from your customers. You can do this by accessing your ecommerce platform admin. For example, in Shopify, you can set up automatic or manual capture of credit card payments. Shopify Payments provides an authorization period of 7 days.
To avoid errors and remove common online shopping hassles, you need to carefully test your ecommerce website before launching it. Also, run continuous A/B testing to identify what makes your customers happy and what brings conversions to your store.
Ensure you do the following tests:
This ecommerce launch checklist represents a roadmap for online merchants looking to start their business from scratch. Mastering the basics, and you’ll avoid all the hassles along the way.
Let’s wrap up:
And once your store is up and running, check out these 13 ecommerce growth tactics to take your store to the next level.
Looking for a customer support app for your ecommerce store? Sign up for a Gorgias account and enjoy all the premium features for free in 7 days. Gorgias is an ecommerce-focused helpdesk solution that will help you create the best experience for your customers, improve your support team’s performance, and eventually drive sales.
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TL;DR:
You started with a shared inbox, a gut feeling, and a promise to respond within 24 hours. That works until a busy season hits, your team grows, or your founder asks why support costs are climbing, and you have nothing to show them.
Without metrics, you can't explain what's slow, what's broken, or whether your team is actually moving in the right direction.
This guide covers the 14 customer support metrics worth tracking, why each one matters for your ecommerce business, and exactly how to measure them.
Customer support metrics are the numbers that tell you whether your support team is fast, effective, and worth what it costs.
They fall into two buckets. Operational metrics tell you what's happening: how many tickets came in, how fast your team responded, how many were resolved on the first try. Experience metrics tell you how shoppers felt about it: whether the interaction was easy, whether they left satisfied, whether they'd buy from you again.
Both matter. Operational data surfaces where the inefficiencies are. Experience data shows whether those inefficiencies are costing you customers. A three-day first response time is an operational problem. A drop in repeat purchases the following month is the business consequence.
Most small ecommerce teams skip this entirely. It's understandable: when you're a team of two handling 60 tickets a day, measurement feels like a luxury. The problem is that the cost of not measuring is invisible — until it isn't.
Here's what happens when you don't track:
The goal isn't to turn your support team into a data team. It's to have enough visibility that you're making decisions based on what's actually happening — not just what it feels like is happening.
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These metrics tell you how fast your team is operating. They are the first baselines to establish and the clearest indicators of whether your support operation can handle current and future volume.
First response time is the average time between a customer submitting a ticket and receiving the first reply from your team. It is one of the most watched metrics in customer support because it is often the first signal a shopper gets about whether you take their experience seriously.
For ecommerce brands, FRT carries extra weight. A shopper asking about a delayed order or a damaged product is already frustrated. Every hour without a response compounds that frustration and puts a repeat purchase at risk.
How to calculate it: Total first response time across all tickets ÷ total number of tickets
What good looks like: The all-industry median is 6.3 hours, but that number is not your benchmark. According to Gorgias research, FRT varies by 5.5x across verticals at the same GMV. Find your row below:
|
Vertical |
First response time |
|
Hardware |
1.6 hrs |
|
Animals & Pet Supplies |
3.6 hrs |
|
Business & Industrial |
4.0 hrs |
|
Home & Garden |
4.4 hrs |
|
Vehicles & Parts |
4.4 hrs |
|
Electronics |
4.8 hrs |
|
Food & Beverages |
5.1 hrs |
|
Health & Beauty |
5.2 hrs |
|
Baby & Toddler |
5.3 hrs |
|
Sporting Goods |
5.8 hrs |
|
Luggage & Bags |
7.7 hrs |
|
Toys & Games |
8.3 hrs |
|
Apparel & Accessories |
8.8 hrs |
|
Arts & Entertainment |
9.1 hrs |
Source: Gorgias Ecom Lab, median metrics at $10M GMV, March 2026
Tip: Track FRT by channel, not just overall. Your email response time and your live chat response time are not comparable, and averaging them together obscures both.
If your team sees FRT spike during BFCM or product launches, that is expected. The goal is to have a seasonal baseline so you can plan staffing and automation accordingly rather than react after the damage is done.
Average resolution time measures how long it takes to fully close a ticket from the moment it was opened. Where FRT tells you how quickly you acknowledge a customer, ART tells you how quickly you actually solve their problem.
For ecommerce, resolution time varies significantly by ticket type. A question about store hours resolves in minutes. A return involving a third-party carrier can take days. Tracking ART as a single number is a starting point, but the more useful cut is by ticket category: shipping issues, returns, product questions, billing. That breakdown shows you where your process has friction, not just where your team is slow.
How to calculate it: Total resolution time across all closed tickets ÷ total number of tickets resolved
What good looks like: Resolution time ranges from 15.1 hours (Hardware) to 21.9 hours (Arts & Entertainment). Your own historical baseline matters more than the vertical comparison here. Set it early and investigate when it rises.
|
Vertical |
Resolution time |
|
Hardware |
15.1 hrs |
|
Animals & Pet Supplies |
15.6 hrs |
|
Food & Beverages |
15.8 hrs |
|
Health & Beauty |
16.8 hrs |
|
Vehicles & Parts |
17.0 hrs |
|
Business & Industrial |
17.2 hrs |
|
Baby & Toddler |
17.4 hrs |
|
Home & Garden |
19.2 hrs |
|
Sporting Goods |
19.2 hrs |
|
Electronics |
19.4 hrs |
|
Apparel & Accessories |
19.7 hrs |
|
Luggage & Bags |
19.7 hrs |
|
Toys & Games |
20.8 hrs |
|
Arts & Entertainment |
21.9 hrs |
Source: Gorgias Ecom Lab, median metrics at $10M GMV, March 2026
When a ticket requires a human handoff after AI involvement, the median wait before a human picks it up is 10 hours. A third of those tickets are abandoned and never receive a response at all. The brands with the lowest ART are the ones reducing how often tickets change hands.
A consistently high ART on a specific ticket type usually points to a missing self-service resource, a broken integration, or a workflow that needs automation.
First contact resolution rate is the percentage of tickets resolved in a single interaction, with no follow-up required. It tells you how often your team gets it right the first time.
For ecommerce, FCR varies significantly by ticket type. Order status questions and simple policy queries should resolve in one touch. Issues involving carriers, third-party apps, or manual refund approvals often cannot. A low FCR overall is worth investigating, but a low FCR on fulfillment-related tickets may simply reflect your operational reality rather than a support problem.
How to calculate it: Tickets resolved on first contact ÷ total tickets × 100
What good looks like: According to SQM Group's 2024 benchmarking data across 500+ North American call centers, the average FCR rate across all industries is 69%, with retail leading at 73-75%. Those are reasonable targets for an ecommerce support team. World-class is considered 80% or above. If you are below 65%, that is a signal worth investigating before assuming it is a staffing problem.
Ticket volume is the total number of support tickets received in a given time period. On its own it is a simple count. In context, it is one of the most useful operational signals you have.
For ecommerce brands, volume is rarely flat. It spikes around product launches, promotions, and peak seasons. A brand handling 62 tickets on a normal day can see that jump to 600 during a sale. Without tracking volume over time, those spikes are impossible to anticipate and impossible to staff for.
How to calculate it: Total tickets received ÷ time period (day, week, month)
What good looks like: Volume is not a metric you benchmark against peers. It is a metric you benchmark against yourself. The table below shows the median number of support tickets ecommerce brands receive for every 100 orders, by vertical. Use your ratio to forecast volume as your order count grows.
|
Vertical |
Tickets per 100 orders |
|
Electronics |
46 |
|
Vehicles & Parts |
46 |
|
Hardware |
41 |
|
Luggage & Bags |
32 |
|
Home & Garden |
32 |
|
Sporting Goods |
32 |
|
Business & Industrial |
25 |
|
Animals & Pet Supplies |
25 |
|
Baby & Toddler |
24 |
|
Apparel & Accessories |
22 |
|
Health & Beauty |
21 |
|
Arts & Entertainment |
21 |
|
Food & Beverages |
20 |
|
Toys & Games |
19 |
Source: Gorgias Ecom Lab, median number of support tickets per 100 orders at $10M GMV, March 2026
A high tickets-per-order ratio is not a problem to fix. It reflects the complexity of your product and how much customers need to ask before and after buying. The right question is whether you are above or below your vertical peers.
Self-service rate is the percentage of customer inquiries resolved without any agent involvement. A shopper checks your help center, finds the return policy, and moves on without opening a ticket. That is self-service working.
For ecommerce, the opportunity here is significant. Order status, return eligibility, shipping timelines, and product FAQs are all questions that do not require a human to answer. Every one that gets deflected is a ticket your team never has to touch.
How to calculate it: Tickets deflected by self-service ÷ total support interactions × 100
What good looks like: There is no universal benchmark, but Gorgias data gives a useful reference point. The median ecommerce brand self-serves 45% of AI-touched tickets without any human involvement. The top quartile reaches 65%. If you have self-service tools in place and you are sitting well below the median, the gap is usually a content or configuration problem, not a capacity one.
Tip: Track which topics are generating the most deflected tickets. Those are your highest-value self-service investments. Track which topics are failing to deflect. Those are your content gaps.
Read more: FAQ pages: Examples, benefits, and when to add a help center
These metrics tell you how shoppers felt about their interactions with your team. They are the link between support performance and customer loyalty, repeat purchases, and brand reputation.
CSAT is the most direct measure of whether shoppers leave an interaction happy. After a ticket is resolved, customers rate their experience — typically on a scale of one to five. The score reflects the percentage of positive responses.
For ecommerce, CSAT is most useful when it is broken down rather than read as a single number. A team-wide CSAT of 4.2 tells you very little. A CSAT of 3.8 on return-related tickets and 4.6 on product questions tells you exactly where the experience is falling short.
How to calculate it: Number of satisfied responses (4s and 5s) ÷ Total responses × 100
What good looks like: CSAT scores across ecommerce verticals range from 4.45 to 4.66 out of five. If you are below 4.4, that's worth investigating. If you are above 4.6, you're in the top tier.
Customer effort score measures how much work a shopper had to do to get their issue resolved. It is asked as a single post-interaction question: how easy was it to get your problem solved?
The logic behind it is straightforward. Customers who find an interaction effortless are more likely to come back. Customers who have to repeat themselves, navigate multiple channels, or wait through a handoff are not. CES captures that experience directly where CSAT sometimes misses it — a shopper can be satisfied with the outcome but still find the process frustrating.
How to calculate it: Sum of all effort scores ÷ total number of responses (lower scores indicate less effort on a 1-7 scale)
What good looks like: A score of five or above on a seven-point scale is generally considered strong. Below four signals meaningful friction. For ecommerce, returns and exchanges tend to produce the lowest CES scores — if your overall score is healthy but one ticket type is pulling it down, start there.
Tip: CES and CSAT measure different things and are both worth tracking. CSAT tells you if the outcome was good. CES tells you if the process was easy. A brand can score well on one and poorly on the other.
NPS measures how likely your customers are to recommend your brand to someone else. It is asked as a single question: on a scale of zero to 10, how likely are you to recommend us? Respondents are grouped into promoters (nine to 10), passives (seven to eight), and detractors (zero to six).
Unlike CSAT and CES, which measure a single interaction, NPS measures the overall relationship. A shopper can have a smooth support experience and still be a detractor if their broader experience with your brand has been poor. That makes NPS a useful complement to the transactional metrics, not a replacement for them.
How to calculate it: % of promoters - % of detractors
What good looks like: For ecommerce, an NPS above 50 is considered strong and above 70 is exceptional. Below 30 warrants a closer look at where the experience is breaking down across the full customer journey, not just support.
Tip: NPS is most useful when tied to a specific moment rather than sent randomly. Post-purchase and post-resolution are the two highest-signal timing points for ecommerce brands. A detractor after a resolved support ticket is a different problem than a detractor after a first purchase.
These metrics tell you what your support operation costs and whether those costs are justified. They are the numbers that make the business case for headcount, tooling, and automation investment.
Agent performance metrics are the individual-level data points that sit underneath your team-wide averages. They typically include per-agent CSAT, average handle time, and tickets resolved per hour.
Team averages are a useful starting point, but they hide outliers in both directions. One agent with a consistently low CSAT score is invisible when their numbers are rolled into the team total. So is one agent who resolves twice the volume of their peers. Individual metrics surface both.
How to calculate them:
What good looks like: Agent performance metrics are most useful as relative measures within your own team. The goal is to identify your strongest performers, understand what they are doing differently, and use that to coach the rest. A significant gap between your top and bottom performers is usually a training or tooling problem, not a hiring one.
Tip: Use these metrics to coach, not just evaluate. An agent with a low tickets-per-hour rate and a high CSAT may simply be handling more complex tickets. Context matters before drawing conclusions.
Revenue per support interaction measures the dollar value generated from conversations where a support agent influenced a sale — whether by converting a browsing visitor, closing an upsell, or saving a transaction that would have otherwise been abandoned.
Most helpdesks do not track this by default, which is why most support teams are measured purely as a cost center. This metric reframes that. When you can show that your team generated $X in revenue last month through support conversations, the business case for investing in that team changes entirely.
How to calculate it: Total revenue attributed to support interactions ÷ total number of support interactions
What good looks like: There is no established industry benchmark for this metric yet. The more useful starting point is simply turning it on and establishing your own baseline. Once you have a baseline, you can tie specific initiatives — proactive chat campaigns, product recommendation macros, post-purchase follow-ups — to movement in the number.
Tip: This metric is only as accurate as your attribution setup. Make sure your helpdesk is connected to your ecommerce platform so that support interactions can be linked to orders. In Gorgias, this is tracked thanks to its native Shopify integration.
Ticket backlog is the number of open tickets that have not yet received a first response or have been waiting beyond your defined SLA window. It is a snapshot of what is sitting unresolved right now.
For ecommerce brands, backlog is most dangerous during peak periods. A backlog that builds over a promotional weekend compounds quickly: late responses lead to frustrated follow-ups, which add more tickets, which grow the backlog further. By the time you catch up, the damage to your reviews and repeat purchase rate is already done.
How to calculate it: Total open tickets outside SLA window at a given point in time
What good looks like: The goal is zero tickets outside your SLA at the end of each day. In practice, some backlog is inevitable during peak periods. The more useful signal is the trend: a backlog that clears overnight is a staffing or volume spike issue. A backlog that grows week over week is a structural problem that needs addressing before the next peak season hits.
Cost per ticket is the average amount it costs your business to resolve a single support interaction. It is the metric that makes the ROI case for every investment you make in your support operation, from hiring to automation to tooling.
For founders and support managers trying to justify budget, this is the number to know. It turns an abstract headcount or platform cost into a per-unit figure that can be tracked, benchmarked, and improved.
How to calculate it: Total support costs (agent salaries + platform costs + overheads) ÷ total tickets resolved
What good looks like: There is no single benchmark for cost per ticket, as it varies by team size, channel mix, and automation rate. What the data does show is the lever: brands at 50%+ automation rate have AI handling more volume than their entire human team, while averaging just three human agents. That is where cost per ticket drops materially.
If your cost per ticket is rising alongside ticket volume, that is the signal to invest in automation before adding headcount.
SLA compliance rate is the percentage of tickets resolved within your defined service level agreement window. It tells you whether you are keeping the response and resolution time promises you have set for your team.
For ecommerce brands, SLAs are most useful when they are set by channel and ticket priority rather than as a single blanket target. A live chat SLA of two minutes and an email SLA of 24 hours are both reasonable. Averaging them into one number is not.
How to calculate it: Tickets resolved within SLA window ÷ total tickets × 100
What good looks like: Most ecommerce teams target 90% or above for SLA compliance. Below 80% is a signal that your SLA windows are either too aggressive for your current capacity, or that your team has a volume or staffing problem that needs addressing before the next peak period.
Read more: SLA best practices for effective support ticket management
AI resolution rate is the percentage of AI-touched tickets resolved end-to-end without any human involvement. It is the most important metric for any ecommerce brand using automation or AI in their support operation.
Most teams track handover rate — how often AI passes a ticket to a human. AI resolution rate is the inverse, and it is the more useful number. Handover rate tells you where AI failed. Resolution rate tells you what your operation actually costs the shopper and the business.
How to calculate it: Tickets resolved by AI without human involvement ÷ total AI-touched tickets × 100
What good looks like: The median brand resolves 45% of AI-touched tickets end-to-end. The top quartile clears 65%. Every point of movement between those numbers removes a 10-hour median wait, a one-in-three abandonment risk, and a CSAT hit from a shopper's experience.
Tip: A stagnant AI resolution rate is usually a configuration problem, not a model problem. The brands hitting 65%+ are giving AI broader authority, which means more intents covered, more actions it can take, and a narrower escalation policy that reserves humans for judgment calls rather than lookups.
Tracking these metrics across spreadsheets and disconnected tools is how teams end up not tracking anything consistently. Gorgias is an AI-powered helpdesk for ecommerce that centralizes all of it:
The brands that treat support as a growth lever are the ones with full visibility into their operation.
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As you hire more customer service agents, providing quality support across the entire team becomes a major challenge. Without clear rules, agents may each handle key tasks — like building self-service resources or handling refund requests — in different ways.
Fortunately, a good customer service policy helps avoid these problems. But to be truly effective, your policy needs more than platitudes like “Be friendly” or “Respond quickly.” Instead, it should include specific and actionable information.
In this guide, we’ll help you create a useful customer service policy by sharing the five key topics it needs to cover. We’ll also discuss how to write and enforce your policy.
First, let’s start with the basics. Or, you can skip straight to the advice for writing a useful policy.
A customer service policy is a document containing a set of guidelines, rules, and standards for customer service teams. Its goal is to help agents handle day-to-day tasks and set benchmarks for great customer service.
Customer service policies are among the first documents provided to new agents during their training. They act as cornerstone documents for a business's entire customer service team, since agents can use them during difficult or process-heavy interactions, like customer complaints, order cancellations, and so on.
A customer service policy is an internal document, so you won’t share it publicly. However, you can use it as a foundation and repurpose parts of it into various customer-facing policies (like cancellation or refund policies). These policies help you set customer expectations and reduce repetitive inquiries like "What's your return policy?"
Take a look at how Marine Layer does this in a concise way:

You can share these customer-facing policies in:
While similar, customer service policies and service-level agreements (SLAs) are not the same.
Customer service policies are internal documents that help agents by setting standards and policies. Service-level agreements (SLAs) are external documents that define the expected level of service between a business and its customers. Use an SLA to communicate information like:
If you have SLAs, your policy needs to reference them, as you’ll see in a bit.
For a real-life example, check out Berkley Filters’ Contact page:

Above, Berkey listed the working hours for two of their support channels, as well as their average response time. This is a clear promise to customers that sets their expectations for the level of service provided by Berkley Filters.
While customer service policies vary for each company, they bring some key benefits to all organizations. Specifically, they:
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Even if you're a customer service team of one, we recommend laying the foundations of your customer service policy as early as possible.
Here’s why:
You, and any agents you hire, will be faced with some situations over and over, regardless of business size or industry. The sooner you set the rules for these scenarios, the better your chances of providing consistent service, avoiding confusion, and setting standards for your team.
For online stores, these common situations are:
Team members who handle customer inquiries should know how to deal with these from day 1.
Outside of these situations, you should continue to expand your policy as your customer service team grows. That’s a major aspect of ensuring consistent, high-quality service across a larger team. We’ll discuss some additional policy topics in the next section.
Some elements of the customer service policy will vary depending on company size and industry. For example, a clothing brand's return policy will be different from that one for a brand that sells perishable goods.
However, pretty much all policies should cover the following 5 key topics below.
This is the most important part of your customer service policy. It empowers agents with the knowledge they need to resolve customer issues and provide quality support.
Here are some common workflows to include in this section:
As you can see, there are many scenarios to consider here. Fortunately, once you’ve outlined them, you can easily build a library of message templates around your common processes, so your agents don’t have to waste time typing from scratch.
Gorgias’ version of templates, called Macros, include variables that automatically populate with each customer’s unique information (like names, order numbers, shipping information, and more). This means you may be able to simply pull up and send the relevant Macro without any copy/pasting.

You can also put information about these key policies in useful self-serve resources like FAQ pages or a help center. These empower visitors to instantly resolve simple issues themselves, instead of flooding your team with repetitive tickets (and having to wait for a response).
This is another crucial topic for your agents’ day-to-day that every customer support policy should include. Without prioritization rules, agents can follow their own prioritization logic, resulting in poor response times for urgent tickets.

Here are three prioritization factors to include in your policy:

We have lots of useful advice on this topic, so check out our detailed guide to prioritizing customer service requests.
As we mentioned, SLAs are customer-facing promises about your team's response and resolution times. This information should also be in your policy, so agents are aware of the expectations your SLA sets.
But what if you don’t have an SLA? Well, your agents still need to what standard they’ll be held to, i.e., what “good customer service” means for your company.
That’s why your policy needs to establish a set of customer service metrics or key performance indicators (KPIs), regardless if you have an SLA or not.
First Response Time (FRT) is the primary metric to consider here.
FRT measures how long your agents take to respond to customer inquiries, on average. You can have different FRT targets, depending on the channels you use. For example, a 1-hour FRT might be great for email support, while 1-2 minutes is usually a good target for live chat and SMS.
As Brianna Christiano, Director of Support at Gorgias explains:
“We actually have members of the support team who monitor FRT every hour. This allows us to keep a pulse on our workload and pivot if necessary. If we notice that live chat or SMS inquiries are getting overwhelming, we’ll ask team members who typically do, for example, email support to help with the live messaging channels so we can maintain a low FRT.”
Also, you can use FRT to nudge buyers to try a specific customer service channel.
Let’s take another look at Berkley Filters’ Contact page:

Besides setting expectations, making the average response time public helped Berkley Filters push more buyers toward their new SMS channel.
Other useful metrics for your policy include:


Your support team may be the only direct point of contact with your business for many customers. That’s why it’s crucial to establish that agents’ tone of voice should match the brands’ — whether that’s professional, friendly, or a mix of both.
But this is a pretty broad rule that can be difficult to apply in real-life situations. You also want to add clear examples of what fits within your tone of voice guidelines and what doesn’t.
For instance, starting customer interactions with an energetic tone can be a good foundation. However, agents should adapt to each customer’s tone after the initial contact. After all, annoyed visitors likely won’t respond well to humor or light-hearted conversation.
Also, make sure to add an exhaustive list of words for your agents to use and avoid. For instance, agents shouldn’t sound overly apologetic when discussing fixed company policies (refunds, order cancellations, etc.) with customers. You can instruct them to avoid apologetic language and instead use empathetic — but not overly apologetic — phrases to communicate the facts.
If you use different customer support channels, it’s a good idea to include specific guidelines for them. For instance, call-center agents can be instructed to:
Of course, apply these same tone-of-voice considerations to any customer support templates or self-service resources. All of these are an extension of your brand, and ensuring consistency at the source is mission-critical.
Customer service is much more than responding to tickets. Proactive customer service — where agents make the first move, instead of waiting for people to contact them — can help you exceed buyers’ expectations, drive revenue, and reduce repetitive questions.

If you haven’t tried proactive customer service, here are some ideas you can test and describe in your policy:
Learn more about the best customer service software on the market and how it can help streamline your customer service operations and boost revenue.
Before you dive into the policy’s content, make sure to name your document in a clear way, i.e., “Customer Service Policy” or “[Brand Name] Customer Service Policy”.
No need to get creative with the name. You just need people to be able to find it fast when they need it.
Before diving into writing the policy, consider that it should only cover topics that are specific to the customer service team. Broader topics (like code of conduct or other employee rules) should be part of larger company handbooks or other high-level documents, so the customer service policy doesn’t lose its focus.
In terms of content, it can be useful to separate the policy into two parts.
This first section lays the foundation for the rest of the policy. Your company’s values and mission statement are a common place to start.
For example, Abel Womack — a material handling company — begins the public-facing version of their company’s policy by saying that it “has been established to be reflective of our shared values”, which are integrity, empathy, customer care, and teamwork.

Some policies also include details about the company’s products at this stage. If you sell various complex products, it can be useful to add that information. If not, you can skip it and move on to the meat of the policy.
The second half contains actionable information that helps agents provide excellent customer service.
Writing this part can be tricky, especially if you haven’t done it before. Fortunately, an outline makes the process much easier, compared to starting with a blank page.
Feel free to copy the outline below, which is based on the checklist from the previous section.
📚 Useful Resources: Our free refund and return policy generator & Loop Returns, which automates the returns process.
📚 Useful Resources: Best practices for prioritizing customer service requests.
📚 Useful resources: Detailed guide on evaluating customer service & 25 key customer support metrics.
📚 Useful resources: Our guide on proactive customer service & customer self-service ideas
From here, it’s all about filling in the specifics using your brand’s terminology e.g., “customer service representatives”, instead of “customer service agents”, and so on.
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So, you’ve done the hard work of creating a detailed and actionable customer service policy. Now, let’s get agents to actually use it.
First and foremost, ensure the document is easy to find by:
Also, keep in mind that the policy shouldn’t be a static document. Instead, it needs regular updates as you add new products, team members, and support channels. Entrusting a customer service team member, likely a manager, to keep it updated is a must.
Another key tip for improving enforcement is tying the policy to the metric(s) you use to evaluate agents’ performance. This will keep people accountable and give you an objective way to determine their adherence.
Here’s an example of this idea in action by Brianna Christiano, Director of Support at Gorgias:
“At Gorgias, we use an internal quality metric to gauge the support team’s performance. Each week, managers audit 3 of their agents’ tickets and determine the quality and efficiency of the provided service, based on that metric. This lets us continuously evaluate and reinforce customer service rules and standards.”
Finally, getting managers to shadow new agents is another best practice here. This lets managers reinforce your policy from day 1. Plus, it’s a useful way to check if new agents can satisfy customers’ needs.
After weeks of writing, introducing a new policy to the team feels great. But getting the document out there is only half the battle.
You then need to monitor if the policy is helping you reach your customer service goals.
To do that, keep a close eye on your support metrics (FRT, ART, and so on) in the weeks after the initial implementation.
It’s also crucial to determine if your new policy is truly customer-centric. This means tracking feedback metrics, like CSAT and other customer satisfaction metrics that have a major impact on customer retention.
The evaluation process is as important as creating the policy, so be careful not to overlook it. For additional practical tips, check out our guide to evaluating customer service programs.

TL;DR:
Managing product returns is often one of the most significant expenses of running an online store. Data from Invesp shows that 30% of all products purchased online are returned, compared to just 8.89% of products purchased from brick-and-mortar retailers.
There are several reasons why returns are so common in ecommerce — the most prominent listed in the image below. But regardless of the reason, the bottom line is that your store's bottom line depends on an optimized returns process.
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We’ve already discussed how you can optimize your returns process, but most growing stores need additional help. Thankfully, there are plenty of returns management software tools on the market today that are designed to reduce the expense of returned products without harming customer satisfaction.
In this article, we'll explore what to look for in great returns management software before highlighting the nine best returns management tools available today.
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Returns management is the process of helping customers who need to return an item, whether online to an ecommerce shop or in person at a brick and mortar store. Typically, customers submit a return request, send or bring an item back, and the business restocks the item and credits back the customer.
Ecommerce returns automation is a tool that manages the returns process for online stores using automation and AI.
Instead of relying on manually managing returns and refunds, automation software minimizes human error and accelerates the following processes:
There are several key reasons why returns management software is a valuable tool for any ecommerce business. From helping you automate your returns process to helping you reduce your return rate through insightful data, here are just a few top reasons why the right returns management solution can be highly beneficial:
Managing returns is often a time-consuming process — and an expensive one. According to Axios, returning a $50 item costs retailers an average of $33. And slow, clunky processes are a big part of the issue.
By automating much of your product returns management process, returns management software can make handling online returns much less of a hassle:
📚 Related reading: Our guide to automating customer service processes to save time and improve support quality.
One of the most important things to look for in returns management software is its existing integrations. For example, returns software that integrates with your email marketing platform makes sending out customized shipping updates easy.
Meanwhile, choosing returns software that integrates with your customer support platform makes it easy for support agents to process returns while assisting customers. Below, we’ll link whenever a returns tool integrates with Gorgias to save you the time of searching.
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These are just a couple of examples of the value you gain when your returns management system integrates with the other tools your ecommerce store uses.
84% of shoppers say that they will not purchase from a retailer again after a bad returns experience. So, offering speedy service for returns is mission critical. By streamlining and automating your returns process, the right returns management software can make the process faster and more convenient for your customers.
According to data from Statista, reverse logistics — otherwise known as returns management — cost U.S. businesses a total of $102 billion in 2020 alone. If you want to reduce returns' impact on your store's bottom line as much as possible, it is essential to optimize both your returns process and the customer experience with your products.
To this end, nothing is more important than the customer returns data that you collect. By providing returns data in a clean and organized dashboard, returns management software makes it much easier to draw the insights you need to process returns in a more cost-effective manner. It also offers your customers a better experience, which lends itself to a lower return rate.
📚Recommended reading: Our VP of Success’ guide to evaluating customer service.
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If you are looking for tools that will make managing returns much more efficient and convenient for you and your customers alike, there are several excellent options to consider adding to your tech stack. Here are our picks for the top nine returns management tools.
Next to each tool, we’ll list the G2 review score to help you understand current user satisfaction.
ReturnLogic is a comprehensive solution designed to automate the entire returns process, offering customizable workflows that can automate tasks such as:
ReturnLogic also offers warranty processing for accepting warranty claims from third-party purchases, powerful insights and analytics, and a customizable return portal designed to make returning products more convenient for your customers.
Another key benefit of ReturnLogic is that its return portal is designed to encourage customers to exchange items rather than request refunds, enabling you to further reduce the impact of returns on your store's profits.
See more about ReturnLogic’s integration with Gorgias.
With Returnly, ecommerce store owners can create customized return portals designed to optimize the customer experience and make returns less of a hassle for your customers and support team alike. Along with an attractive and easy-to-use return portal, Returnly also offers a range of automation rules that enable you to control how and when returns get processed.
Finally, Returnly provides detailed analytics and returns data that you can leverage to optimize your returns process further. The result is a well-rounded returns solution that offers everything online store owners need to reduce the expense and hassle of managing returns.
See more about Returnly’s integration with Gorgias.
As one of the more popular returns management solutions today, there's a lot to like about Loop Returns. With Loop Returns, store owners can create a branded return portal complete with automations that streamline the returns process, and feedback forms to generate valuable insights on why customers return their products.
The Loop Returns return portal also encourages exchanges, allowing your store to retain more revenue. Another key benefit of Loop Returns is that it enables customers to use a QR code to return their product rather than printing a shipping label (though Loop Returns does offer customers the option to print a shipping label as well).
📚Recommended reading: Learn how Kulani Kinis Saves $400k in Refunds Using Gorgias + Loop Integration
See more about Loop’s integration with Gorgias.
LateShipment.com is a post-purchase experience platform designed to improve multiple aspects of a store's post-purchase process, including order tracking and returns management.
One of the best features of LateShipment.com is that it provides a litany of order fulfillment data points, including real-time tracking updates that can be sent automatically to customers via email or SMS. Regarding returns management, meanwhile, LateShipment.com offers a customizable return portal complete with real-time tracking and a wide range of rules and automations that you can use to customize and automate your returns process.
Finally, LateShipment.com promises to recover every dollar lost to carrier errors by automatically auditing shipping invoices and requesting refunds when an error occurs, helping your business save on shipping costs.
📚Recommended reading: Learn how to offer your customers free shipping without breaking the bank.
See more about LateShipment.com’s integration with Gorgias.
yayloh is a return management platform that automates and optimises the returns process for fast-growing direct-to-consumer brands, particularly those in the fashion and lifestyle market.
With customisable workflows, yayloh reduces the workload for customer service teams and provides customers with a fully-digital and branded self-service returns experience.
The platform stands out for its focus on return data. yayloh collects and analyses customer feedback in top-tier data dashboards and datasets to help merchants make data-driven product adjustments to reduce returns rates.
With yayloh's all-inclusive solution, brands of all sizes can scale their businesses, boost customer loyalty and reduce returns, all while ensuring a smooth and efficient post-purchase experience for customers.
See more about yayloh's integration with Gorgias.
Unlike many solutions on this list, OrderHive is not designed specifically for returns management. However, OrderHive's excellent inventory management and ecommerce automation features can be incredibly valuable for optimizing your returns process.
For example, OrderHive's real-time tracking features make it easy to provide customers with tracking updates on product exchanges. At the same time, the platform's inventory management tools simplify the process of updating your inventory when returns are processed.
But the real value of OrderHive comes from its wide range of ecommerce automation features. These features enable you to automate an incredibly long list of routine tasks, including tasks associated with returns management — such as processing returns and updating inventory levels.
🧰 Tool: Want to update your returns policy? Use our free template generator to get started.
The features offered by Return Rabbit might not be anything all that new or revolutionary, but Return Rabbit is very good at what it does nonetheless. With Return Rabbit, ecommerce store owners can:
Similar to other tools on this list, Return Rabbit encourages exchanges via customized product recommendations presented to customers in the return portal.
📚 Recommended reading: The best Shopify apps for growing your ecommerce business.
12Return is a returns management solution designed for both brick-and-mortar and ecommerce stores. For ecommerce stores, 12Return offers the ability to create both branded return portals and merchant dashboards designed to simplify the returns process for customer support agents.
12Return also provides customizable automation rules for authorizing returns and automating a wide range of returns management tasks.
Perhaps the most unique feature of 12Return is local returns processing, which enables customers to ship returned products to a local 12Returns hub for a faster and more efficient returns process.
ReverseLogix is a platform that offers everything you could want from a returns management solution, along with a few unique features you probably won't find anywhere else.
ReverseLogix boasts standard returns management features such as:
However, they also offer features such as configuring returns workflows based on priorities such as sustainability and cost-effectiveness, and a Repairs Management module for managing part replacements and warranty-based repairs.
Another nice feature of ReverseLogix is its detailed reporting, designed to provide insights into your returns process and the customer's experience with your products.
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Ordoro is a comprehensive order fulfillment platform that can manage orders and returns. With Ordoro, you can look forward to a long list of order fulfillment features, including:
If you are looking for an all-in-one solution to order fulfillment, inventory management, and returns management, then Ordoro is a great option to consider.
Want more suggestions? Check out our list of 150+ top ecommerce tools or our list of the best shipping software for ecommerce.
Managing returns is one of the necessary evils of running an online store. With the right returns management software, you can greatly mitigate the expenses and hassles associated with returns management.
Integrating these solutions with a powerful customer support platform such as Gorgias makes them even more beneficial. The ability to integrate with a wide range of returns management solutions is just one of the features that make Gorgias the premier customer support solution for ecommerce stores.
With Gorgias, you can create automated customer support workflows to assist with returns management and other customer support tasks. Along with these powerful automation rules, Gorgias also offers live chat support, a centralized customer support dashboard, advanced customer support reporting and analytics, and so much more.
To see for yourself how our industry-leading customer support software can enhance your returns process and your ecommerce business as a whole, sign up for Gorgias today!

On Instagram, the most common types of engagement are likes and comments. For likes, you can’t do much about them, but you can take advantage of Instagram comments to drive more engagement, build relationships with followers, increase customer trust, and even boost conversions.
If your business has a strong presence on Instagram, you may receive a lot of comments from followers. That means you have a higher chance to turn comments into your advantage.
But sometimes, it’s easier said than done, right? With a flood of comments every day, you may struggle to respond and manage them effectively.
That’s why this post is for you. You’ll learn several Instagram comment ideas to interact with your followers and some useful tips to monitor comments without losing your mind.
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The average post on Instagram receives 285.48 comments, taking into account posts of highly influential users. Mention found that 26% of Instagram users love to comment on or share personal Instagram Stories.
Why do people comment on others’ posts?
The reasons are many. For example, they want to ask a question, give feedback, share a personal perspective, add to discussions, or interact with a community. Sometimes, they feel so resonated with a story that they want to start a conversation.
Whatever the reasons, the Instagram comments section gives you a huge opportunity to communicate with your followers and discover potential customers.
Here are three main reasons why you should create an Instagram comment strategy:
Think this way: if you’ve uploaded a photo and received 20 comments within only five minutes, you probably have a lot of following on Instagram, or your content is very engaging, right?
The opposite is true as well. If you get a few comments whenever you publish a post despite having a huge following, your engagement rate may be low. In this case, you should probably rethink your Instagram comment strategy.
When a customer mentions you on Instagram, a lot of eyes are on you. How you handle that can tell a lot about your social media management and customer service. If you respond to it tactfully, it shows you care about your customers and take control of the situation.
Meanwhile, choosing to shy away and remain silent will lead to people bad-mouthing your brand. And as you might know, words can travel fast.
By providing great customer service through Instagram comments, you not only retain existing customers but also win new ones.
Below are Instagram comment ideas and tips you can apply right away. Note that there is no one-size-fits-all answer – every comment and every situation is different. Use the following as a reference to create the right strategy for your business.
When customers ask a question, they want an answer instantly. This is true, especially if the question is about product availability, price, or shipping issues.
Aim to respond to Instagram comments within 24 hours. This way, you can build trust with your followers and leave them a good impression of your business.
Look at all of Dannijo’s posts, and you can see they respond to comments within minutes, if not seconds. No wonder they have great engagement.

Using Instagram Quick Replies is a great way to do that. This cool feature allows you to create draft messages for commonly asked questions, like “what is the shipping cost?” or “can I return the item?”

Whenever you want to use those messages, just insert the “quick reply” instead of typing out the same message multiple times.
You can use Instagram Quick Replies on mobile devices (iPhone and Android). But this feature is only available for Instagram business accounts. So make sure you set up an Instagram business page beforehand.
Like other social networks, Instagram is about two-way conversations. But we don’t join Instagram to talk with bots – we want to share, discuss, and speak with humans. We seek real, genuine connections.
That’s why brands must be human when interacting with followers on Instagram. Speak to them like you’re already in a relationship with them, as if you’re good friends. Avoid using a formal and distant tone.
You should take customer queries and complaints seriously, but there are times when you can add a bit of humor to entertain a conversation. According to Hootsuite, “entertaining content is one of the top five reasons people follow particular brands or individuals online.”
Think about when you saw an animated GIF on Tumblr or a funny tweet. You couldn’t help but sharing it with your circle, right? That’s why adding a touch of humor to your Instagram comments can be helpful to connect with your audience instantly.

Make a good joke, and your followers will share it with their followers. Some of those followers will start following you to get more jokes, and your outreach will grow exponentially. More followers, more customers. It’s as simple as that.
Emojis aren’t common in Instagram posts, but comments too. More and more brands are responding to their Instagram comments with emojis.

Emojis are friendly, fun, and engaging. They’re great for humanizing your brand and connect with followers quickly.
A worthy note is that before using emojis, ask yourself if it aligns with the tone of your brand. Make sure you understand the meanings of different emojis so you can use them the right way.
It’s also important to understand whose comment you’re responding to. Just because you see other followers using emojis doesn’t mean everyone is okay with them. Learn more about your target audience to create an emoji marketing strategy that makes sense for your business.
A thank-you comment is necessary when someone gives you a compliment or mentions you on Instagram. Something as simple as “Thank you” or “Thanks” or “Glad you like this one” is more than fine. If they called out specifics in their comments, try to respond with a similar level of personalization. Show them your appreciation.
Another tip is when saying thanks to your followers, try to expand the conversation. If a follower said they were happy with your order, you could ask them why they liked it. Let them know you’re available to support them whenever they need help.
If a customer reaches out to your Instagram with a question or a customer service issue, you must respond to them. You should provide that support.
Here are some helpful tips to handle followers’ complaints on Instagram:
If a follower’s question is complicated and requires a wordy answer or needs more time to fix, you ask for their email address in the comments and send the full response through email.

It’s an opportunity for you to impress your follower with the high level of customer service you provide. Ensure you let the follower know you’ll contact them via their email.
A lot of people will tell you to ignore or delete negative comments on your Instagram posts. But wait… rethink before you do that.
Of course, dealing with difficult customers is never easy, and it only gets more challenging when both of you don’t understand each other or the customers expect more than what you can offer.
Despite that, it isn’t a smart move to delete comments. Why? Because the difficult customers might do the following:
With all that being said, it’s obvious that you should come up with a strategy to handle negative comments, instead of just deleting them.
A good tactic is to reply to those comments or direct message commenters with an apology. Then, ask for more information about why they made that statement. Explain you need this information to figure out the best solution for them.
If the person continues to be an issue after you’ve attempted to resolve the matter, try to move the conversation to a private space (like an email) or block them when necessary.
It seems a lot of work, but keep practicing that. It’ll help improve your brand’s online presence and make people remember your excellent customer service.
If you just start using Instagram for your business, commenting on other posts is a good idea. Doing that will help you identify your target audience, understand what they need, expand your brand awareness, and drive engagement to your Instagram profile.
You can comment on your followers’ posts, influencers’, or the posts of brands that are relevant to your niche.

If you’re struggling with identifying who you should start interacting with, look at your recent collaboration or co-marketing projects. Then, start engaging with them.
Have you ever glanced at your (hundreds of) Instagram notifications and feel tired of replying to your followers’ comments? You see many comments on some much older posts and don’t know which one to start with. AGRH. You get lost.
If you’re in this situation, the first thing you should do is set a specific time to handle Instagram comments. Give yourself windows of time when you’re pleased to respond to those messages. Doing that can help you remove distractions, maintain concentration, and increase productivity.
The second tactic is to use an all-in-one customer service tool like Gorgias.
Think this way: Your customers aren’t on Instagram only. They may also follow your business on Twitter and Facebook. Some of them may prefer connecting with you via email, SMS, or phone call. Others might often visit your website and find it convenient to chat with you via chat box.
That’s where tools like Gorgias (and other social media apps that integrate with your Shopify store) come in handy.
Gorgias' social media features allows you to centralize all customer requests and comments across channels into a single dashboard. You can easily manage every customer interaction on Instagram (for instance: Instagram comments, Instagram ads comments, Instagram mentions), emails, and other messages – using only Gorgias is enough to deliver an exceptional omnichannel customer experience.
Gorgias also helps streamline your team collaboration. When someone comments on your Instagram, a corresponding ticket is automatically created. You can solve the ticket right away using macros, change its status, or assign it to another agent. Everything will be done inside Gorgias without you logging into your Instagram app.
Take the time to go through Instagram comments and address them. Show your followers that you care about them, appreciate their engagement, and strive to maintain relationships with them. The more you do that, the more your followers want to stick with you and support your business.
Interested in using Gorgias to monitor Instagram comments and customer inquiries on other channels? Sign up for a Gorgias account today and discover all the premium features our ecommerce ticket management help desk offers.
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TL;DR:
You're building your ecommerce store the right way. Researching payment processors before you launch means you understand that checkout directly impacts sales.
Whether you're comparing Stripe, PayPal, Square, or Shopify Payments, the decision comes down to a few key factors: security, fees, customer experience, and whether the processor can grow with your business.
Let's dive into what payment processing actually is, how to evaluate your options, and which processor fits your needs so you can set up checkout once and focus on growing your store.
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Ecommerce payment processing is the system that lets online stores accept digital payments securely. When a customer checks out, their payment information moves through a series of steps that verify the transaction and transfer funds to your store.
Unlike older systems that redirect customers to third-party pages, modern payment processing keeps customers on your site throughout checkout. They enter their card details, the system encrypts the data instantly, and authorization happens in the background.
Every transaction involves three core parts working in sequence:
Every transaction follows four steps that happen in seconds:
When a customer submits payment at checkout — whether by card, digital wallet, or buy now, pay later — the payment gateway immediately captures and encrypts their information using SSL/TLS protocols. Modern gateways are embedded directly in your checkout, so customers never leave your site.
The payment processor receives the encrypted data and forwards it to the card network, such as Visa or Mastercard. The network routes the request to the customer's issuing bank, which checks if they have sufficient funds, if the account is in good standing, and if any fraud rules are triggered. The bank approves or declines the transaction.
The authorization response travels back through the same path: issuing bank → card network → processor → gateway. Your customer sees the result in real time, usually within two to three seconds. If declined, they can try another payment method. If approved, the transaction moves to settlement.
Settlement is a batch process that happens separately, typically once per day. Your acquiring bank requests funds from the customer's issuing bank for all approved transactions. Settled funds appear in your merchant account within one to three business days and are then available for transfer to your business bank account.
Offering multiple payment methods reduces cart abandonment and meets customer preferences at checkout.
Here are the four major categories every ecommerce brand should consider:
The right processor balances cost, security, customer experience, and growth potential. Here's what to evaluate:
Choose a PCI-compliant processor that handles security for you through hosted payment forms or tokenization. Look for built-in fraud tools like 3D Secure 2.0 (biometric verification), AVS (address verification), and CVV checks. These protect against fraud while keeping approval rates high for legitimate customers.
Offer the methods your audience prefers. At minimum, accept major cards (Visa, Mastercard) and at least one digital wallet (Apple Pay or Google Pay). Consider adding BNPL for higher-ticket items. North American customers typically use cards, wallets, and Affirm, while European customers favor PayPal, Klarna, and iDEAL.
If you sell globally, ensure your processor handles multi-currency settlement, local payment methods, and dynamic currency conversion. Be aware that cross-border transactions carry higher fees and longer settlement times.
Tokenization replaces card data with secure tokens you can store and reuse, enabling one-click checkout for returning customers while reducing your PCI compliance burden.
Check for native integrations with your ecommerce platform (Shopify, WooCommerce, BigCommerce), CRM, accounting software, and support tools like Gorgias. Seamless data flow between systems reduces manual work and errors.
Most processors charge 2.5–3.5% plus $0.10–$0.30 per transaction, monthly fees of $0–$50, and $15–$25 per chargeback. Interchange-plus pricing is most transparent for high-volume merchants. With payout timing, most settle in one to three days, but faster options exist for a fee.
Select a provider with 24/7 support and the ability to handle traffic spikes during peak events, add new sales channels, and expand internationally as you grow. Payment issues directly impact revenue, so reliable support matters.
Security protects your customers and your business. A data breach or fraud problem can damage your reputation and trigger fines. Here's what to look for:
PCI DSS is a set of security rules required by card companies to protect customer payment data. It's mandatory, but you don't need to become a security expert.
Choose a processor with hosted payment forms or tokenization. Customer card details go directly to the processor, never touching your server. This means the processor handles complex security requirements for you. Without this, you risk fines and could lose the ability to accept payments.
Look for processors with built-in fraud protection:
Chargebacks happen when customers dispute charges, often because they don't recognize the transaction or had a delivery issue. If more than 1% of your transactions become chargebacks, you'll face higher fees or lose your account. Each chargeback costs $15-$25, even if you win.
Choose a processor with early alerts (before disputes become official) and tools to fight unfair disputes. Prevent chargebacks by using clear billing descriptors, visible refund policies, order tracking, and fast customer support.
Resolving problems before customers call their bank saves money and headaches. Tools like Gorgias AI Agent help you respond quickly and issue refunds when appropriate, stopping disputes before they start.
If you're just starting out and wondering "Should I use PayPal or Stripe?" — you're asking the right question. The answer depends on your platform, technical comfort, and where you're selling.
Here are the main options:
Provider |
Best For |
Pricing Model |
Key Features |
|---|---|---|---|
Shopify Payments |
Shopify-native stores |
2.9% + $0.30 USD |
No third-party fees, Shop Pay, fast payouts |
Stripe |
Customization and global scale |
2.9% + $0.30 USD |
API flexibility, 135+ currencies, subscriptions |
PayPal |
Brand trust and fast acceptance |
2.99% + $0.49 (US) |
Instant trust, PayPal wallet, Venmo, Pay in 4 |
Square |
Unified POS + online for SMBs |
2.9% + $0.30 online |
Free POS, simple pricing, in-person + online |
Adyen / Checkout.com |
Enterprise and multi-acquirer |
Custom (interchange-plus) |
Payment orchestration, global reach, 100+ methods |
BNPL and wallets |
Add-on methods |
Varies by provider |
Increase conversion and AOV on mobile |
Built directly into Shopify with no setup hassle. Accepts all major cards plus Apple Pay, Google Pay, and Shop Pay. The big win: no extra 0.5-2% fee that Shopify charges for third-party processors. Payouts are fast, reporting is unified with your orders, and fraud protection is automatic. Only downsides: Shopify-only, limited countries, and strict policies for certain industries.
The go-to for businesses that need flexibility or plan to scale globally. Supports 135+ currencies and payment methods from cards to wallets to local options like iDEAL. Great API if you want custom checkout flows. Pricing starts at 2.9% + $0.30, but setup requires some technical knowledge and support can be slow for smaller accounts.
Everyone knows PayPal, which means customers trust it immediately. Fast approval (often same-day), accepts cards plus PayPal balance, Venmo, and Pay in 4 installments. Pricing is 2.99% + $0.49. The trade-off: reporting is clunky and support quality varies.
Perfect if you sell both online and at markets, pop-ups, or a physical location. Free POS hardware connects to the same dashboard as your online store. Simple pricing: 2.9% + $0.30 online, 2.6% + $0.10 in-person. Includes business tools like invoicing and payroll. Best for small businesses—less suitable if you need heavy customization.
For large brands processing high volumes. Advanced features like payment orchestration and 100+ payment methods, but requires technical resources, longer onboarding, and volume minimums.
Most processors let you add Affirm, Klarna, Afterpay, Apple Pay, and Google Pay through integrations. These boost conversion, especially on mobile and for higher-priced items. BNPL providers charge 2–6% but often increase average order value enough to justify the cost.
Your payment processor directly influences whether customers complete checkout or abandon their cart. Keep these best practices in mind:
Choose a processor with embedded checkout so customers never leave your site. Redirects to third-party pages kill trust and increase abandonment — in fact, 22% of customers bail due to slow or complex checkout. Display recognizable payment logos (Visa, Mastercard, PayPal) and SSL security badges to reassure customers their data is safe.
Mobile shoppers don't want to type card numbers on small screens. Offer Apple Pay, Google Pay, and Shop Pay for one-tap checkout with biometric verification. Fast mobile checkout also increases impulse purchases at the point of sale.
Enable one-click checkout for repeat customers using tokenization, where the processor stores secure tokens instead of actual card numbers. This is critical for subscriptions and mobile shopping. Offer multiple wallet options (Shop Pay, PayPal, Apple Pay, Google Pay) so customers can choose their preference.
Failed transactions, refund requests, and order questions all need fast resolution, or customers get frustrated and file chargebacks. Slow support costs you sales and increases chargeback fees.
Payment processing is just one piece of running a successful online store. Once your checkout is set up, focus on the other fundamentals:


