

A few things to know before you connect Gorgias MCP:
Ask your helpdesk anything, and get a real answer from your actual data in seconds.
Gorgias MCP connects your Gorgias account directly to Claude, ChatGPT, Cursor, or any other MCP-compatible AI tool. No more exporting data or re-explaining context every time you need a different angle on your tickets. Ask a question, follow up, and execute, all in the same conversation.
This guide covers what Gorgias MCP is, how to connect it, and six specific workflows you can run in your first session.
The Model Context Protocol (MCP) enables AI systems to link directly with other tools.
The Gorgias MCP provides a first-party bridge, giving you a secure, direct connection between your chosen AI assistant and your Gorgias account.
Once connected, your LLM of choice can:
Setup takes about five minutes. Here is what you need and how to do it.
What you need:
Steps:
The exact steps vary slightly depending on which AI tool you use.
Read more: The Gorgias MCP setup guide specifically walks through Claude, ChatGPT, and Cursor.
Each workflow below includes the exact prompt to copy. Adjust the specifics to match your store, and run it in your first session.
CSAT dips are easy to spot in your dashboard. The cause is harder. Figuring it out usually means opening tickets one by one, building a custom filter, and reading through results one by one.
The prompt:
What you get: A grouped breakdown of the patterns behind your low scores, based on what customers wrote.
Follow-up prompts:
Handoff reports tell you how many tickets AI Agent escalated to your team. They rarely tell you why. Diagnosing the root cause and writing new guidance to fix it are usually two separate tasks that happen days apart, if at all.
With Gorgias MCP, you can do both in the same conversation.
The prompt:
Then, without starting a new chat:
What you get: A diagnosis of where AI Agent is struggling and a ready-to-review draft guidance to address the top gap. You apply it manually in Gorgias, but the thinking is done.
Follow-up prompts:
This is one of the most powerful early use cases customers have found. By connecting Gorgias MCP with the Shopify MCP, you can link what customers complain about in tickets to the product pages where that friction lives.
To use this workflow, connect both Gorgias MCP and Shopify MCP oto your AI tool first.
The prompt:
What you get: A prioritized list of friction points tied to specific content gaps on your product pages, ready to hand off to your product or merchandising team.
Follow-up prompts:
Gorgias's built-in reports cover the core metrics well. But when you need a specific cut, ticket volume by intent for a particular channel, or resolution time broken down by tag, getting there requires an export and a spreadsheet.
Ask for exactly what you need instead.
The prompt:
What you get: A custom breakdown you can copy directly into a slide or share with your team, built from a single question.
Follow-up prompts:
Every support inbox has repeat questions that agents are still answering manually. Some of those topics may already have a macro, but others show up again and again without consistent macro usage. This workflow helps surface the best candidates to standardize next.
The prompt:
What you get: A ranked list of frequent support topics that appear to be handled manually most of the time, helping your team prioritize where a new or better macro could save the most effort.
Follow-up prompts:
Tag libraries tend to grow organically. Over time, teams end up with overlapping labels like “return,” “returns,” and “return-request,” along with tags that are rarely used and naming patterns that make reporting harder to trust. This workflow helps identify cleanup opportunities based on how tags are actually used on tickets.
The prompt:
What you get: A list of likely tag issues grouped by type — duplicates, low-use tags, and inconsistent naming — based on actual ticket usage, with consolidation suggestions your team can act on.
Follow-up prompts:
Everything in the workflows above is already sitting in your Gorgias account. Gorgias MCP just makes it conversational.
Not sure where to start? Try workflow 1 (CSAT drop report) or workflow 6 (tag cleanup) first. Both deliver results quickly and work regardless of how your account is configured.
Gorgias MCP is currently in open beta and available to all paid plan customers.
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.
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TL;DR:
If you're wondering what it costs to add AI Agent to your Helpdesk, you're in the right place. This article walks through how pricing works, what counts as a billable interaction, and how to think about the investment before talking to anyone on our team.
The good news: there are no seat fees, no per-message charges, and no token-based billing. You pay for conversations your AI actually resolves. If you've looked into other AI tools for customer support and found the pricing models confusing or hard to predict, Gorgias AI Agent works differently.
A billable interaction is counted when the AI resolves a customer conversation entirely on its own. The customer asks something, the AI handles it, the conversation closes. That's one interaction.
If the AI can't fully resolve a conversation and hands it to a human agent, that ticket shifts over to your regular Helpdesk plan. It becomes a standard resolved ticket. You're not charged for both.
A few things that don't count as billable interactions:
This matters most for brands coming from seat-based tools. With Gorgias, your whole team can work in the platform. Agent seats are unlimited. Pricing scales with what your AI is actually doing, not with how many people have access.
Understand the difference between seat-based vs. usage-based pricing.
AI Agent is an add-on to your Gorgias Helpdesk plan. The two are priced separately but work together. Your Helpdesk plan covers all the conversations your human agents resolve. Your AI Agent plan covers the interactions the AI resolves on its own.
When you choose a plan, you select how many automated interactions you want included per month. Depending on your plan, that ranges from 90 to 2,500+ interactions, with custom interaction numbers available for enterprise. You can see the full breakdown on the Gorgias pricing page.
Each resolved conversation costs $0.90 on most plans. Starter plans begin at $1 per resolved conversation. You only pay for fully automated interactions, meaning conversations the AI handles from start to finish without a human stepping in.
The main input is your average monthly ticket volume. From there, you estimate how many of those conversations AI could realistically handle on its own.
Order status updates, return requests, and shipping questions tend to be the highest-volume ticket types AI resolves well. AI Agent actions shows the full range of what it can handle, which makes it easier to estimate your starting number.
Your actual automation rate, meaning the share of total tickets the AI ends up resolving, emerges from usage over time. Most brands start with their most repetitive ticket types and expand from there as they see results.
Related: Which Gorgias plan should you choose?
You're charged an overage fee for each additional automated interaction if you exceed your plan's baseline in a given month. The exact rate depends on your plan tier and whether you're on a monthly or annual subscription.
Generally, the higher your plan tier, the lower your overage rate. Annual plans also carry lower overage rates than monthly plans. So if you're regularly going over, upgrading to a higher tier or switching to annual often works out cheaper than paying overage fees month after month.
If you're on a Support + Shopping Assistant plan, the overage rate is $1.50 per interaction across all paid tiers. If you're on a Support-only plan, rates range from $1.00 to $2.00 per interaction on monthly plans, and $0.83 to $1.67 on annual plans, depending on your tier.
For seasonal businesses, forecasting your customer service volume before peak periods is the best way to choose the right plan size and avoid unexpected fees.
At $0.90 per resolved interaction on most plans, each AI resolution costs less than a human agent handling the same ticket. Once you know what a human-resolved ticket costs your business, the comparison becomes straightforward.
For brands building an internal case for the investment, how to pitch AI Agent to your boss covers the ROI framing in detail.
To see what results look like in practice, how 10 brands transformed customer support into revenue has real ecommerce examples.
AI Agent comes with everything you need to set it up, customize it, and improve it over time:
Learn more: Gorgias AI Agent guardrails: What they are and how to configure them
The best way to get a sense of what AI Agent will cost is to look at your own ticket volume and the types of questions your customers ask most. From there, the right plan becomes much clearer.
If you want to talk through the numbers with someone from our team, book a demo and we'll walk through it with you.
If you'd rather keep exploring first, here are a few good next reads:
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TL;DR:
Helpdesk 2.0 starts with the people who use it most: the agents.
We spent time understanding customer support from the agent's seat. What do they reach for constantly? What slows them down? What does a better workday look like?
Everything we found is in this brand-new update.
Conversational commerce is the new standard.
In customer support, this means customers expect context to remain intact wherever they reach out, whether a conversation starts on social, moves to email, or ends on a call.
This new approach to support has also changed the agent's role. Recurring tickets, like order status checks, shipping updates, and returns, are now handled by AI. What lands in the agent inbox are edge cases that require human judgment and troubleshooting, or tickets that require the full picture.
However, the original Helpdesk was built for a different era of support.
Context was separated across views rather than built into the conversation itself. It's something one in five Gorgias customers flagged, through support tickets, NPS surveys, and conversations with our team. So, we got to work.
Helpdesk 2.0 is the result.
Here's a look at everything that changed.
Conversations have a natural rhythm, one that’s already found in every messaging tool we use. We brought that same layout into the helpdesk.
Say goodbye to the 2000s email interface and hello to chat bubbles. This updated design changes how quickly you can orient yourself and resolve the ticket in one go.

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

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

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

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

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


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:

TL;DR:
Ecommerce merchandising is the strategic presentation of products to drive sales and create better shopping experiences.
With online shopping more competitive than ever, how you showcase products can make or break a sale.
This guide shows you how to optimize product discovery, improve the customer experience, and boost revenue.
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Ecommerce merchandising is the practice of strategically presenting products to drive sales and improve the shopping experience.
Think about a physical store. Products aren't randomly thrown on shelves — merchandisers place bestsellers at eye level, create enticing displays, and use signage to grab attention. Ecommerce merchandising works the same way, just digitally.
The goal is to put the right product in front of the right customer at the right time. The advantage? You can optimize in real-time based on customer behavior, purchase history, and browsing patterns — something brick-and-mortar stores can't easily do.
This includes organizing your product catalog, optimizing search and filters, creating compelling visuals, personalizing recommendations, and fine-tuning your product pages to convert browsers into buyers.
Merchandising directly affects your revenue because it influences every step of the customer journey from product discovery to checkout. Here's why it should be a top priority:
Your customers expect personalization. They don't want to dig through generic product pages or wrestle with basic search. They expect experiences that adapt to their preferences and recommendations that feel hand-picked. If your site feels one-size-fits-all, you're already behind.
Your competition isn't just down the street. It's everywhere. Customers can comparison shop across dozens of stores in minutes. If they can't quickly find what they want on your site, they'll bounce to a competitor who makes it easier. You're not just competing locally anymore. You're up against every online retailer worldwide.
You have data physical stores can only dream of. You can test product arrangements, track which layouts convert better, and adjust your strategy in real-time based on actual behavior. That's a massive advantage, but only if you use it.
Effective merchandising has four foundational building blocks. Here's what you need:
Building an effective merchandising strategy requires a systematic approach, not guesswork. Follow these five steps.
Review your catalog organization, search performance, and conversion data. Identify which products are easy to find and which are buried. Check search analytics to see where customers struggle and where they drop off. This baseline shows you where to focus.
Establish what success looks like. Choose 3-5 key metrics—conversion rate, average order value, search exit rate—that align with your business objectives. Clear KPIs let you measure impact and prove ROI.
Identify key touchpoints: homepage, category pages, search, product pages, checkout. Understanding this flow helps you prioritize which areas to optimize first and where merchandising has the biggest impact.
Start with high-impact, low-effort improvements like fixing broken search, adding recommendations, or streamlining category navigation. Quick wins build momentum and show stakeholders what's possible.
Set up a testing framework with regular analytics reviews, A/B testing processes, and customer feedback channels. Merchandising isn't one-and-done. It requires continuous refinement.
These are the foundational must-haves for any ecommerce store:
✅ Optimize your search functionality – Implement autocomplete, synonym mapping, and smart filters so high-intent shoppers can actually find what they're looking for.
✅ Use high-quality product media – Include multiple angles, zoom functionality, videos, and lifestyle shots. Customers can't touch products online—visuals bridge that gap.
✅ Display social proof prominently – Add reviews, ratings, customer photos, and trust badges on product pages. Customers trust other customers more than your marketing copy.
✅ Ensure mobile responsiveness – Make sure you have responsive design, touch-friendly navigation, and fast loading. 61% of searches happen on mobile.
✅ Show real-time inventory – Display accurate stock levels and low-stock alerts. Nothing kills trust faster than letting customers buy unavailable products.
✅ Optimize checkout flow – Offer guest checkout, multiple payment options, transparent pricing, and progress indicators. Every friction point increases abandonment.
✅ Track Core Web Vitals – Monitor LCP, INP, and CLS. Aim for sub-3-second page loads. Slow pages kill conversions.
Track these six KPIs to understand how your merchandising impacts revenue. Metrics turn opinions into data-driven decisions.
The percentage of visitors who buy something. This is your most direct measure of merchandising success.
Example: If 100 people visit your site and 3 buy, your conversion rate is 3%. Track this by traffic source, device, and product category to spot where you can improve.
The average dollar amount customers spend per transaction. Growing AOV through bundles and recommendations increases revenue without needing more traffic.
Example: If you make $5,000 from 100 orders, your AOV is $50. If product recommendations bump that to $55, you've added $500 in revenue from the same number of customers.
Total revenue divided by total visitors. This combines conversion rate and AOV into one number that shows overall merchandising effectiveness.
Example: 1,000 visitors generate $3,000 in sales = $3 RPV. If your merchandising gets that to $3.50, you've gained $500 per thousand visitors.
The percentage of people who leave after viewing just one page. High bounce rates mean navigation problems or customers not finding what they expected.
Example: If 60% of homepage visitors bounce immediately, something's wrong. It could be unclear navigation, slow loading, or irrelevant content.
The percentage of customers who search and then leave without clicking any products. This directly measures search quality.
Example: If 40% of people search for "running shoes" and then exit, your search isn't showing them relevant results. Fix this by improving synonym coverage and result relevance.
Total revenue a customer generates over their entire relationship with your brand. Good merchandising makes repeat purchases easy through personalization and seamless experiences.
Example: A customer makes their first $50 purchase, then returns for three more $40 purchases over two years. Their CLV is $170—much more valuable than a one-time buyer.
Testing and optimization approach:
Pro Tip: Your support team sees patterns that metrics can't capture. Combine quantitative data with qualitative feedback from customer conversations. Pre-sales customer support can go a long way toward boosting sales by assisting customers with issues that might otherwise prevent them from converting.
Once your foundation is solid, these tactics drive growth. Use them to differentiate your store and boost conversions beyond the basics.
Show "Because you bought X" recommendations, tailor homepages by customer segment, and use dynamic content based on browsing history.
Guide uncertain shoppers with quizzes that recommend products based on their needs and preferences.
Create thematic collections ("Summer Essentials," "Work From Home Setup") that reduce decision fatigue and inspire purchases.
Use product bundles, tiered discounts, and free shipping thresholds to increase average order value without constant discounting.
Trigger automated chats based on behavior like reaching out when someone views high-value products or lingers on checkout.
Let customers "try on" products virtually or see 360-degree views to boost confidence and reduce returns.
Extend your merchandising to Instagram, TikTok, and other platforms where customers already shop.
Use machine learning to adjust product rankings, predict demand trends, and personalize at scale.
Organizing your store and displaying products to customers is just one element of creating a customer experience optimized for revenue generation.
Gorgias extends your merchandising strategy through three key capabilities:
AI Agent answers product questions instantly, provides recommendations, and handles order inquiries without human agents.
Customer data integration means agents see browsing history, cart contents, and past purchases to make personalized suggestions during support conversations.
Proactive engagement through chat campaigns can re-engage cart abandoners or offer help at key decision points in the customer journey.
When merchandising and support work together, you reduce pre-purchase support inquiries because product pages answer common questions. You turn support conversations into sales opportunities by equipping agents with context and product knowledge.
See how Gorgias helps ecommerce brands turn support into a revenue driver. Book a demo.
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TL;DR:
Shoppers expect instant, personalized responses across every channel they use. Poor communication drives churn, while great communication drives retention and repeat purchases. Customer communication is the two-way dialogue between your brand and shoppers at every touchpoint. This article covers what customer communication is and why it matters for your bottom line. We also cover which channels to use and eight strategies to improve your approach with automation, personalization, and the right tools.
Customer communication is the ongoing, two-way dialogue between a brand and its shoppers across all touchpoints. Unlike one-way marketing like email blasts or ads, customer communication is responsive and interactive, addressing individual needs and questions.
The scope includes pre-purchase questions, order tracking emails, support tickets, feedback surveys, and proactive outreach like shipping delay notifications. Customer communication management (CCM) is the strategic approach to managing these interactions at scale. It ensures consistent, helpful responses that build trust and drive revenue.
Effective customer communication spans multiple touchpoints:
Customer communication covers support, sales, retention, and feedback across the entire customer lifecycle. It's not just reactive support when something goes wrong. It includes proactive engagement like abandoned cart reminders, restock alerts, and post-purchase check-ins.
This communication spans awareness (social media responses), consideration (live chat with product questions), purchase (order confirmation emails), post-purchase (tracking updates and support), and retention (loyalty program messages). Every interaction shapes how shoppers perceive your brand and whether they'll buy again.
CRM (customer relationship management) systems manage customer data and relationships, tracking purchase history, preferences, and lifecycle stage. CCM focuses on creating, delivering, and optimizing the messages you send using that data.
They complement each other: CRM provides the customer context, while CCM uses it to personalize communication. Integration creates a unified customer view, enabling consistent messaging across all channels and ensuring every interaction feels relevant and timely.
Great customer communication drives measurable business outcomes: higher retention, increased customer lifetime value (CLV), improved CSAT scores, and reduced cost-to-serve. Responsive, helpful communication builds trust, which strengthens brand perception and creates loyalty.
Poor communication, on the other hand, leads to churn, negative reviews, and lost revenue. A report from Emplifi found that 15% of U.S. customers say they're likely to leave a brand after a single negative experience. In ecommerce, where shoppers have endless options, communication is a competitive advantage.
The risks of poor communication include:
Responsive, personalized communication increases repeat purchases and CLV. When shoppers feel heard and valued, they're more likely to return. Reducing churn by even a small margin has an outsized impact on revenue, since acquiring new shoppers costs more than retaining existing ones.
Great support can also translate to better reviews and word-of-mouth, which directly generate more revenue. According to a Podium report, 47% of customers are willing to spend more at a business with higher reviews. The report also found that 41% of customers say reviews are the most important factor when choosing a business.
Consistent, helpful communication builds trust over time. Trust drives loyalty, referrals, and positive word-of-mouth. Shoppers remember how you made them feel, not just what you sold them.
Strong communication reinforces brand perception. When every interaction is professional, empathetic, and on-brand, shoppers see you as reliable and customer-focused. This perception influences purchase decisions and willingness to recommend your brand.
When communication fails — slow responses, inconsistent information, impersonal messages — shoppers get frustrated. This leads to abandoned carts, negative reviews, and lost sales. Churn is expensive and often preventable with better communication.
A single poor experience can undo months of marketing effort. Shoppers who feel ignored or misunderstood are unlikely to give you a second chance.
Ecommerce brands communicate with shoppers across multiple channels: email, live chat, SMS, social media, phone, and help centers. Choosing the right channel depends on urgency, complexity, and customer preference. This is often called the "right medium" decision. Use synchronous channels like chat and phone for urgent issues, and asynchronous channels like email and help centers for less time-sensitive inquiries.
Map channels to lifecycle stages for maximum impact. During awareness, shoppers engage on social media and help centers. During consideration, they use live chat to ask product questions. At purchase and post-purchase, email and SMS deliver order updates and support. Retention efforts use proactive email, SMS, and loyalty programs.
Omnichannel consistency matters: the same brand voice and accurate information across all channels reduce confusion and build trust. Tools like shared inboxes and unified platforms help maintain this consistency at scale.
Each channel has strengths based on urgency and complexity:
Choose sync channels (chat, phone) when urgency and complexity are high. Choose async channels (email, help center) when shoppers can wait for a response or prefer to resolve issues independently.
Match channels to where shoppers are in their journey:
Aligning channels with lifecycle stages ensures shoppers get the right information at the right time through their preferred medium.
Omnichannel consistency means delivering the same tone, messaging, and information across all channels. This builds trust and reduces confusion. Shoppers should feel they're talking to the same brand whether they're on chat, email, or social media.
Tools like shared inboxes, templates, and brand guidelines help maintain consistency. A unified platform ensures reps have full context, so shoppers don't have to repeat themselves when switching channels.
Effective communication requires intentionality: every message should have a purpose and align with customer needs. A strong strategy includes four elements: delivering the right message, assigning the right messenger, using personalization, and engaging in proactive outreach.
Better strategy leads to higher CSAT, lower churn, and more revenue. Shoppers notice when brands are responsive, consistent, and genuinely helpful.
The right message is accurate, helpful, relevant, and timely. Clarity and conciseness matter: shoppers want answers, not paragraphs. Tone should be empathetic, professional, and on-brand.
A right message checklist:
Decide who should respond based on the inquiry. AI and automation can handle simple questions, like tracking status or return policy inquiries. Complex or sensitive issues require a human agent, and sometimes a specialist.
Routing and escalation ensure the right person (or bot) handles each inquiry. Internal collaboration tools like shared inboxes provide visibility and enable smooth handoffs between team members.
Personalization means using customer data — name, order history, preferences — to tailor messages. Shoppers expect brands to know them. Seventy-five percent of consumers are more likely to purchase from brands that offer personalized online experiences.
Personalization tactics include:
Tools like CRM integration and customer data platforms make personalization scalable. Automation can pull in order numbers, tracking links, and purchase history to create customized responses instantly.
Proactive communication means reaching out before the shopper asks. Examples include order tracking updates, shipping delay notifications, and product restock alerts. Proactive outreach reduces support volume and builds trust by keeping shoppers informed.
Feedback loops involve listening to customer input, acting on it, and closing the loop by telling shoppers what changed. This shows you value their opinions and creates a continuous improvement cycle.
Key tools for effective customer communication include a helpdesk or shared inbox to centralize conversations, automation to handle repetitive tasks, a knowledge base for self-service, chatbots for instant responses, and CRM integration to personalize at scale.
These tools work together to streamline communication. A unified platform like Gorgias combines helpdesk, automation, AI, and CRM integration into one system, making it easier to manage conversations across channels.
A helpdesk is a centralized platform for managing all customer conversations. It pulls in messages from email, chat, social media, SMS, and phone into one place. A shared inbox lets multiple agents see and respond to messages, eliminating duplication and ensuring nothing falls through the cracks.
Automation uses rules, macros, and AI to handle repetitive tasks like order tracking updates and FAQ responses. For example, Gorgias offers Rules to auto-tag and route tickets, Macros for templated responses, and an Automation add-on with AI Agent to resolve common inquiries instantly.
Automation frees up reps to focus on complex issues while ensuring shoppers get fast responses to simple questions. Using Gorgias' automation tools, luxury jeweler Jaxxon not only saw a 17% drop in live chat tickets, but a 46% revenue boost.
A knowledge base is a library of help articles, FAQs, and guides that shoppers can search independently. Self-service empowers shoppers to find answers without contacting support, reducing ticket volume and providing 24/7 availability.
Benefits of self-service include:
Tools like help centers, chatbots, and FAQ widgets make self-service accessible. Check out Gorgias's live chat solution to add self-service flows directly to your website.
CCM platforms manage the creation, delivery, and optimization of messages, while CRM systems manage customer data and relationships. Integration is key: CRM provides customer context (order history, preferences, CSAT scores), and CCM uses that context to personalize and deliver messages.
Modern platforms like Gorgias combine both: a helpdesk with CRM-level data visibility and CCM-level message management. This unified approach reduces tool sprawl and ensures consistent, data-driven communication.
Measuring communication effectiveness helps you identify gaps, optimize strategy, and prove ROI. Key metrics include first response time (FRT), average response time (ART), resolution rate, CSAT (customer satisfaction), NPS (net promoter score), and quality assurance (QA) loops.
These metrics tie directly to business outcomes: faster responses lead to higher CSAT, better resolution reduces churn, and strong NPS drives referrals.
FRT (first response time) measures how quickly you respond to a new inquiry. Speed matters: shoppers expect fast answers.
ART (average response time) tracks the average time across all responses in a conversation. Maintaining swift average response times keeps shoppers engaged and satisfied.
Resolution rate is the percentage of inquiries resolved without escalation. Higher resolution rates mean shoppers get answers on the first try, reducing frustration and repeat contacts.
Improve these metrics with automation, smart routing, and ongoing agent training.
CSAT (customer satisfaction score) is a post-interaction survey rating, typically asking "How satisfied were you with this interaction?" It provides immediate feedback on individual conversations. Learn more about how to improve CSAT score.
NPS (net promoter score) measures likelihood to recommend your brand. It's a broader gauge of overall satisfaction and loyalty.
QA loops involve reviewing conversations, coaching agents, and identifying trends. Use feedback to refine templates, update training, and continuously improve communication quality.
Implementing a customer communication strategy takes planning and iteration. A 30-60-90 day roadmap provides quick wins early while building toward long-term optimization. Real-world examples show how brands use omnichannel communication and automation to reduce response times, increase CSAT, and lower support costs.
Days 1-30: Audit your current communication channels, tools, and metrics. Identify gaps like slow response times or missing channels. Set clear goals: improve FRT, increase CSAT, reduce ticket volume. Choose quick wins like adding FAQ articles or setting up basic automation rules.
Days 31-60: Implement quick wins. Create automation rules for common questions like "where is my order?" Build out your help center with FAQs and guides. Train your team on new tools and processes. Start tracking key metrics to establish baselines.
Days 61-90: Optimize based on data. Analyze which automation rules are working and which need refinement. Expand self-service options based on common ticket themes. Measure ROI by comparing ticket volume, response times, and CSAT scores to your baseline.
Brands that combine omnichannel support with automation see measurable improvements. By centralizing conversations from email, chat, social media, and SMS into one platform, teams respond faster and maintain context across channels.
Automation handles repetitive inquiries, freeing agents to focus on complex issues. The result: reduced response times, higher CSAT scores, and lower support costs. For example, implementing automation and self-service can reduce ticket volume by double digits while maintaining or improving customer satisfaction.
Ready to transform your customer communication? Book a demo to see how Gorgias can help you automate, personalize, and scale your support.
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