

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What you get: A diagnosis of where AI Agent is struggling and a ready-to-review draft guidance to address the top gap.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.

TL;DR:
While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.
Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.
Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.
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Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.
Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.
The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.
If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.
In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.
Learn more: How Manduka used personalized, on-site campaigns and earned $70k
While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.
Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.
Learn more: How Luksusbaby boosted 66% first response time with 45% automation
A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.
To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.
Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.
Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.
How to implement:
Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.

AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.
How to implement:
Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.

Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.
How to implement:

According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.
How to implement:

The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant.
How to implement:

Read more: 9 types of customer self-service
Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management, Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.
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Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.
One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.
Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."
To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.
Read more: Why customer service is important, according to a VP of CX
"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness
"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.
Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.
Related: Hiring for customer service
“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo
"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.
At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.
Read more: Customer service training: what to cover + how to do it
"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals
Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.
However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?
"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY
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Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday.
Who do you think is more frustrated?
Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.
Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.
To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.
Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department.
Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem.
Interested in getting live chat software? Check out one of these lists for tailored recommendations:
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Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions.
Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.
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When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites.
With that in mind, let's explore the strengths of each solution.
One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree.
According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less.
With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock.
The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.
But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.
Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues.
For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat.
This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient.
While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person.
A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available.
Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings.
Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers.
Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues.
Once again, a combination of automation and live chat support is typically the best approach.

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries.
Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience.
When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve.
While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting.
For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs.
A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely.
For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.
More chat features to provide self-service support without the bots
Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.
But there’s a third chat option that you should consider in addition to live chat and chatbot software.
Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.
It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.
Here are a few ways self-service chat options can work.
Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.
These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:
Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.
Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.
Here’s how a “track order” request looks in action:

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.
These automations can be set up in the widget for questions like:
These automations can be customized for whatever FAQs are most relevant to your ecommerce store.
Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.
Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.
Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.
Here’s how the flow works:
The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.
With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.
First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.
From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.
After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight.
The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.
On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.
When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.
So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.
Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.
If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop.
Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time.
Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.
Our customer support platform is available for Magento, Shopify, and BigCommerce users.
Read more about our chat offerings by clicking here.

TL;DR:
You know what customers love? When their problems are solved on the first try.
Being able to resolve issues right away is a clear sign that your support team is on the right track to provide great customer experiences.
To maintain that level of excellence and efficiency, you’ll need to understand first contact resolution (FCR) rate.
In this article, we’ll deep dive into first contact resolution rate. You’ll learn how to calculate and monitor FCR, how to increase your FCR for better customer experiences, and look at what other metrics to monitor alongside FCR.
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First contact resolution rate is a metric that measures the percentage of customer support tickets that your agents resolve on the first interaction.
Generally, this measurement is used in call centers, but it’s also considered one of the most essential customer support metrics in ecommerce.
Like a lot of customer support metrics, FCR also goes by a few names, like:
Whichever name you prefer, the goal of the measurement is the same: understand how efficient your team is at resolving customer issues.
Time-consuming interactions erode trust over time and drive customers to shop with the competition.
According to The Effortless Experience, 96% of shoppers with a high-effort experience feel disloyal to brands afterward.
By aiming to solve customer issues from the very first interaction, you can combat the escalation of poor customer experiences and use positive interactions to improve loyalty and satisfaction, gain repeat customers, and boost revenue to meet your bottom line.
Let’s walk through the formula to figure out your FCR and look at an example. Then, we’ll unpack some challenges behind the FCR metric to make it as useful for your support agents as possible.

The formula to calculate first contact resolution rate is:
(Number of support tickets resolved on first contact / total number of resolved support tickets) x 100 = FCR rate %
The goal is to have an FCR percentage that’s as close to 100% as possible. A higher FCR indicates how successful you are at solving tickets at the first interaction without follow-up questions from customers.
Here’s what calculating FCR looks like using real numbers:
(15,000 tickets solved on first contact / 20,000 total resolved tickets) x 100 = 75% FCR
That means, on average, your team can solve 75% of support tickets on the first try.
First contact resolution is a fantastic starting point to improve your support team’s resolution time. But, like most customer support metrics, FCR has some limitations.
Simply knowing your first contact resolution rate doesn’t give you the whole story.
A low FCR means you aren’t solving most problems on the first try but it doesn’t explain the root causes.
You’ll need to track other metrics that look into customer interactions more qualitatively, like customer satisfaction (CSAT).
Second, a high FCR isn’t an automatic indicator of a successful support strategy. The challenge lies in accurately categorizing tickets resolved in one interaction. This process can be complicated by instances where automated responses may be quick but unhelpful.
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Here are four tactics you can use now to improve FCR performance and your customer experiences.
Your agents are your front line, and it’s important they’re armed with customer service scripts to resolve common issues efficiently. Scripts are pre-written responses that agents can use to avoid typing the same answers over and over again.
At Gorgias, we call scripts Macros. Gorgias allows you to personalize each Macro with customer information pulled from your integrated ecommerce platforms like Shopify and WooCommerce.
Deja Jefferson, CX and Consumer Insights Manager at skincare brand Topicals uses Macros “to help maintain brand voice while handling a high volume of customer service tickets.” As a result of this automation tactic, her team influenced 72% more revenue.
💡 Pro Tip: Exceptional customer experience depends on a robust customer service training program. Keep agent knowledge fresh with a knowledge base or Help Center of scripts. This way, agents can continuously upskill or grab information whenever they need it.
At Gorgias, we’ve found that automation increases both FCR and sales.
An automation tool like Gorgias Automate can help resolve up to 30% of incoming tickets. With features like Quick Responses and Article Recommendations, customers can get answers to their questions without waiting to speak to an agent.

For example, luxury shoe and garment care retailer Kirby Allison used Gorgias Automate to deflect 30% of incoming tickets and boosted revenue from support by 46%.

Chances are, a bulk of your tickets can be answered by customers themselves. In fact, 88% of U.S. customers expect a customer self-service portal according to a 2022 Statista survey.
On Gorgias, we solve this issue by giving merchants the ability to create a Help Center.
A Help Center is an article database that includes information commonly sought by shoppers, like product information, policies (like shipping, returns, or order cancellations), and billing and payment information.

Below, Loop Earplugs makes the customer experience seamless by linking to their FAQs in the top navigation bar of their website.

Resolving your low-priority tickets quickly is a surefire way to improve your FCR. It would be a full-time job if you had to manually prioritize and categorize your tickets.
With a helpdesk like Gorgias, you can automatically categorize incoming tickets into low-, medium-, and high-priority based on customizable parameters called Rules. Better yet, Gorgias can take care of routing high-priority tickets to your most experienced agents to maintain customer retention.

For example, snack brand Chomps created a Rule that tagged customer tickets with an “Urgent” tag if their message included phrases like “cancel order,” “wrong,” or “update my address.”

To give deeper context to your customers’ shopping experiences, it’s important to use FCR alongside other customer success metrics and KPIs.
Let’s look at how FCR works with key customer support metrics, like Customer Contact Rate, Average Response Time, Average Resolution Time, and Unresolved Ticket Rate.
Customer contact rate (CCR) looks at the percentage of customers who ask for help over a given time. It's an important metric that gives you a snapshot of your company's overall health.
Calculating CCR in combination with FCR will help you see how many people need support versus how effective your team is at deflecting lower-priority tickets.
Average response time (AVT) or average reply time measures how long your support team takes to respond to a customer message.
90% of shoppers agree that an immediate response is important when they have a support request, so it’s crucial that you have as low an AVT as possible.
The longer your response time, the longer it’ll take to get to a resolution. That’s why it’s useful to calculate AVT with FCR together. It’ll help show you the time it takes for an agent to respond, getting you even closer to a lightning-fast solution.
Average resolution time (ART) is similar to FCR in that it looks at your support team’s ability to resolve customer issues.
The difference with ART is that the metric looks at your team’s average ability to resolve issues, not just the first time.
A benefit of calculating ART is that you can understand how efficiently your team resolves higher-priority issues, like complicated returns, customer retention rates, or problems with loyal shoppers.
Unresolved ticket rate (UTR) lets you track and measure abandoned conversations and tickets that could not be solved.
It’s critical to calculate UTR because unresolved tickets are a key indicator of unhappy customers — and unhappy customers can negatively impact your bottom line.
Calculating UTR can help you find gaps in your support strategy by locating tickets where a resolution is difficult and working to build a resolution for similar problems in the future.
If you’re stuck manually calculating first contact resolution, you’ll never have time to improve your strategy.
That’s where Gorgias comes in. Gorgias Helpdesk automatically tracks and measures data like FCR so that you can focus on optimizing your strategy to provide a more positive customer experience.
Sign up for Gorgias or book a demo to track and improve your first contact resolution rate today!

TL;DR:
This year, we witnessed customer service teams from 16,140 brands support over 77 million shoppers and millions of tickets with Gorgias.
As we turn to a new chapter, we want to spotlight how six of the top-performing industries delivered customer service in 2023.
From food to fashion, we’ll see how quickly agents answered questions, then discover what customers were asking, and learn from experts about what customer experience trends to expect in the new year.
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Step into the ecommerce world, where you’ll find a vibrant population of merchants, each with their own niche and groups of loyal customers. Together, they generated $1.45 billion in revenue in 2023.
Of course, this would not have been possible without the grit of customer service teams and their dedication to customer satisfaction.
Support teams across 20 industries answered customer inquiries within one business day and solved them in two and a half, resulting in very satisfied shoppers. Impressively, 15% of interactions were fully automated and resolved on average.
Here are the average industry support stats:

The most popular ecommerce industries — Apparel and Fashion, Health, Wellness, and Fitness, Cosmetics, Food and Beverage, Consumer Goods, and Luxury Goods and Jewelry — were the top performers.
Using exclusive Gorgias data, we’ll look at how support teams from these industries handled tickets. Then, we’ll gain expert insight into the ecommerce experience in 2023, and how experts predict it will change in the coming year.
Our first stop is the bustling market of Apparel and Fashion. We’re all familiar with how tricky online clothes shopping can be. Most likely due to issues with sizing and style, support teams mainly dealt with inquiries about:
Yet, despite receiving the highest number of customer tickets among the six industries, Apparel and Fashion brands kept customers happy. They responded within one business day and resolved issues within two, with 15% of interactions being resolved with automation.
Here are their stats compared to the overall industry average:

According to Loop, over 50% of their merchants now charge for certain returns, including fees for exchanges and returns for store credit. This change aligns with consumer preferences, as their report shows 70% of shoppers are willing to pay for premium, convenient experiences, a trend already embraced by half of these customers.
The next stop on our tour is the thriving Health, Wellness, and Fitness industry.
Unfortunately, brands in this sector had a challenging year keeping up with unpleasant tickets about:
Perhaps support teams could have automated more than 15% of interactions to handle these repetitive tickets better. But despite their slower-than-average first response time, customers were still pleased with the support experience:

Expert Insights: Amanda Kwasniewicz, the VP of Customer Experience at women’s wellness brand Love Wellness, highlights that personalized customer service has been a key trend of 2023. She’s observed that customers now expect to receive personal recommendations during their shopping journeys.
Now, take a peek at the fast-growing Cosmetics industry, and you’ll see how eager customers were to check out the hype around both small businesses and celebrity brands.
Given the boom of influencer marketing for these highly personal products, customers often inquired about:
To solve these tickets, support teams automated 18% of interactions and attained faster times than average:

Getting hungry? This year, the growing appetite for Food and Beverage in the ecommerce world was unmistakable. Beef jerky or freshly squeezed fruit juice, customers savored their snacks. But it also didn’t stop them from being tough critics.
The main issues raised to Food and Beverage support teams revolved around:
Luckily, they cut down their first response time by automating 15% of interactions — nearly three hours faster than average:
Expert insights: Zoe Kahn, former Manager of CX & Retention at Chomps and now Owner of Inevitable Agency, saw inventory issues as a major challenge of 2023. The complexity of inventory logistics is difficult for consumers to understand, leading to higher outreach from customers wondering when items would be back in stock. "Quieting those concerns is really difficult," Zoe notes. However, after witnessing inventory issues over the last few years, Zoe realized that "it's inevitable that inventory problems will happen because of how challenging the logistics of selling a product are."

There’s a lot to explore in the all-encompassing Consumer Goods industry. You’ll find brands that sell everything from sustainable water bottles and furniture to everything else in between, like dog toys and mystery subscription boxes.
While Consumer Goods brands only automated 14% of interactions, their resolution time was two hours faster than the industry average, resulting in the happiest customers among the six industries:

The top tickets Consumer Goods brands received were about:
Expert Insights: Ren Fuller-Wasserman, the Director of Experience at TUSHY, notes that the impact of the macroeconomic climate was among the top challenges faced in 2023. “As there's talk of recession and inflation, people are really looking for products that provide added value,” she says.
Our partner Okendo, a growth marketing platform that has worked with well-known brands like SKIMS and Rhode, notes that tech stack consolidation has been the top priority in 2023. They saw that merchants who used a multifaceted product with app integrations resulted in a 15x return on investment.
Our final stop is at the small gem of an industry, Luxury Goods and Jewelry. Making sure their pricey wares arrived to customers safely was the top priority. That’s why the top questions support teams received were in regard to:
Out of all the industries, Luxury Goods and Jewelry brands automated the most interactions at 28%, which certainly helped to shorten response and resolution times:

Expert Insights: Caela Castillo, Director of CX at Jaxxon, advises preparing early for BFCM but being flexible to change. She notes, “Sometimes you need a different perspective,” acknowledging that agents are valuable resources to gain customer insights, especially when it comes to planning new customer service strategies.
It’s been a fruitful year of expediting the traditionally slow support process. However, with greater strides made in AI technology, ecommerce has only scratched the surface of providing accelerated service.
We interviewed ecommerce experts who saw the rise and fall of trends in 2023 and are ready to use their learnings to make the new year better.
Here are the top four actions ecommerce companies should take in 2024.
We’re constantly fed an endless stream of new technology, which can be a distraction to business goals. That’s why the CTO of ecommerce agency Novatize, Pierre-Olivier Brassard, highly recommends planning a robust strategy first. Clear business goals will help teams pick the best tools — not the other way around.
Customer service management platform TalentPop saw AI as the top CX trend of 2023. They foresee late adopters using AI next year, while early adopters will focus on optimization. To get ahead of the game, TalentPop recommends that support teams research all AI options since CX will only become more saturated with AI tools.
Brandon Amoroso, Founder & President at Electriq and Co-founder at SCALIS observed similar trends. In 2023, many CX teams implemented more self-service options for customers. Going into 2024, Brandon notes that a “continual integration of AI into the entire customer experience” is likely.
As social shopping gains traction, marketing platform Yotpo predicts customers are going to look for more real-time communication with brands. In fact, HubSpot reports a 45% year-over-year surge in using social media DMs for customer service. Therefore, using tools that enable interactions through DMs or text, like Yotpo SMS, will be a crucial strategy in the upcoming year.
Amanda Kwasniewicz, VP of Customer Experience at Love Wellness, advises CX leaders to ensure their contributions are recognized. Kwasniewicz notes that support teams often know the business better than any other department. "Beat the CX drum loudly. If you're not in the room, find a way in the room," she stresses.

TL;DR:
Support teams are drowning in repetitive tickets. Order tracking requests, return policy questions, and password resets consume agent capacity despite requiring minimal judgment to resolve. Helpdesk automation solves this by using AI and workflow rules to handle routine inquiries instantly. This frees human agents to focus on complex problems requiring empathy and expertise.
For ecommerce brands, this means faster resolutions, lower costs, and more time to deliver personalized experiences that drive revenue.
This guide covers what helpdesk automation is, how it works, what you can automate, and how to implement it to scale your CX operation without scaling headcount.
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Helpdesk automation is a customer service capability that uses AI and workflow rules to resolve repetitive support tasks without human intervention. The system automatically routes tickets, suggests knowledge base articles, triggers chatbot responses, and assigns inquiries based on agent expertise or workload.
Core components include:
The Gorgias helpdesk uses these components to automate ecommerce-specific workflows. Features include Rules for automatic ticket organization and routing, Macros for reusable response templates, Flows for multi-step automations, and AI Agent for autonomous actions.
Read more: What is a helpdesk, why you need one, & features to look for
Automation handles predictable, high-volume tasks that follow clear patterns. Manual support handles complex issues requiring judgment, empathy, or creative problem-solving. The goal is to eliminate the work that prevents agents from delivering value.
Helpdesks focus on resolving customer issues and break-fix scenarios. Service desks extend this to include asset management, change requests, and ITIL processes. Most modern platforms support both, but the distinction matters for scoping your automation needs.
Automation sits between self-service and human escalation. Customers start with knowledge base articles or chatbot flows. If those don't resolve the issue, automation routes the ticket to the right agent with full context. This layer absorbs routine inquiries while ensuring complex issues reach someone who can help.
Ecommerce teams face high ticket volume, seasonal spikes, and expectations for support. Automation makes it possible to deliver consistent service without proportionally scaling headcount.
Helpdesk automation follows a three-step flow: a trigger activates, the rules engine evaluates conditions, and the system executes an action. This happens in milliseconds without agent involvement.
The process:
AI enhances this by understanding intent through natural language processing, surfacing relevant help center articles, and suggesting responses that agents can approve or edit before sending.
Triggers are events that activate automation. Common triggers include new ticket creation, keyword matches, specific customer segments, time-based conditions, and SLA thresholds. Rules use if-then logic to determine the response.
Example: If a ticket contains "refund" and the order is over 30 days old, route to the billing team and tag as high priority. If it's under 30 days, send a macro explaining the return process.
Automation assigns tickets based on agent expertise, current workload, and availability. Round-robin distributes evenly across the team. Least-loaded sends tickets to whoever has the smallest queue. Priority-based routing ensures VIP customers or high-value inquiries reach senior agents first.
Self-service automation uses natural language processing to detect customer intent and surface relevant help center articles. AI chatbots handle common questions through interactive flows. When customers resolve their own issues, tickets never enter the queue. Teams measure this as deflection rate.
Gorgias uses Help Center article recommendations and AI Agent capabilities to deflect routine inquiries while keeping agents available for complex conversations.
Read more: Best customer service chatbots for ecommerce in 2026: 8 platforms compared
Automated analytics track ticket volume trends, SLA compliance, and CSAT scores without manual data pulls. Agent-assist features surface context from past conversations, suggest replies based on similar tickets, and highlight relevant product or order details. This creates a continuous improvement loop where automation gets smarter as you process more tickets.
Automation delivers measurable impact across three areas: customer experience, agent productivity, and business outcomes. The key is freeing high-skill resources from low-skill work.
Customers receive instant resolution for simple tickets through chatbots and knowledge base articles. Availability extends beyond business hours. Answers stay consistent across channels and agents. The result is higher customer satisfaction and stronger loyalty because shoppers get help when and how they need it.
Average handle time (AHT) measures how long it takes to resolve a ticket. First-contact resolution (FCR) tracks whether agents solve issues in one interaction. Automation reduces both by deflecting tier-zero inquiries and surfacing order history, past conversations, and product details when agents do engage. This means fewer back-and-forth exchanges and faster time to resolution.
Automating repetitive tasks reduces cost per ticket and creates capacity to absorb volume spikes without hiring. This matters during seasonal peaks like Black Friday and Cyber Monday when ticket volume can triple overnight. Teams that automate effectively grow revenue without proportionally growing support costs.
The highest ROI comes from automating your most frequent ticket types. Most ecommerce brands see the same patterns: order tracking, returns, product questions, and account issues make up the majority of support volume.
Automation categorizes incoming tickets by keyword, channel, customer segment, or order status, then routes them to the appropriate team. A ticket mentioning "damaged product" gets tagged as a quality issue and routed to fulfillment. A question about sizing goes to the pre-sales team. This eliminates manual sorting and ensures inquiries reach the right person immediately.
In Gorgias, Rules and Views make it easy to set up automatic tagging and routing without technical expertise.
Round-robin, least-loaded, and priority-based assignment prevent queue bottlenecks and agent burnout. Automation distributes work evenly while ensuring high-priority tickets get attention first. This improves response times and keeps workload manageable even during peak periods.
Service level agreements (SLAs) define how quickly tickets must be resolved. Automation tracks time-to-first-response and time-to-resolution, sends alerts when tickets approach SLA thresholds, and escalates overdue issues to managers. Follow-up reminders ensure no customer falls through the cracks.
Knowledge base article suggestions and chatbot flows let customers resolve common questions without contacting support. Automation detects intent and serves relevant content instantly. Deflection rate measures how many tickets automation prevents from entering the queue. Higher deflection means lower agent workload and faster resolutions for issues that do require human help.
Gorgias Help Center and AI Agent automate self-service while maintaining brand voice and product knowledge.
Ecommerce support revolves around a few high-volume use cases:
For example, when a customer asks "where is my order," the system automatically detects the inquiry, retrieves the tracking number from Shopify, and sends a response with the carrier link. No agent touches the ticket unless there's an exception like a lost package.
Topicals used Chat to deflect order-related inquiries and resolved issues without manual intervention.
Choosing the right platform depends on your tech stack, support volume, and team structure. Focus on capabilities that eliminate manual work and keep processes simple.
Look for platforms that include:
The platform should make automation accessible to both support managers and developers.
Ecommerce automation requires real-time access to order data, customer history, and product catalogs. Look for platforms with pre-built integrations to Shopify, BigCommerce, WooCommerce, shipping carriers, and subscription apps. Open APIs enable custom workflows when standard integrations don't cover your use case.
Gorgias connects to the full ecommerce tech stack through its App Store, syncing order details, customer profiles, and loyalty status automatically.
Enterprise teams need role-based access control, audit logs, single sign-on, multi-factor authentication, and sandbox environments for testing workflows before deploying to production. The platform should scale with ticket volume without performance degradation or cost spikes.
Start small and iterate:
The goal is progress. Automate one workflow, confirm it works, then move to the next.
Read more: Ecommerce customer service: your guide to customer loyalty
Track metrics that connect automation to customer satisfaction, agent productivity, and cost efficiency. The key is understanding which workflows deliver the most value.
Time-to-first-response (TTFR) measures how quickly customers receive an initial reply. Mean time to resolution (MTTR) tracks how long it takes to fully resolve an issue. Automation reduces both by instantly addressing routine inquiries and routing complex tickets with full context.
Customer satisfaction score (CSAT) measures how happy customers are with support interactions. Deflection rate tracks how many tickets are resolved through self-service. First-contact resolution (FCR) measures whether issues are solved in one interaction. Higher automation drives improvements across all three by delivering faster, more accurate answers.
Calculate cost per ticket by dividing total support costs by tickets resolved. Multiply time saved through automation by agent hourly rate to estimate payback period. The framework shows whether automation investment delivers financial return, but avoid getting lost in precision — directional accuracy is enough to make decisions.
Track tickets resolved per agent per day and backlog trends over time. Automation should increase throughput while reducing queue size. Agent satisfaction matters too — teams freed from repetitive work report higher morale and lower turnover.
You now have a clear picture of how helpdesk automation works, where it delivers the most value, and how to measure its impact. The logical next step is understanding how automation connects to the broader customer experience strategy. You must also learn how to build a support operation that retains customers.
If you're ready to see how Gorgias puts these automation workflows into practice for ecommerce brands, book a demo. We can walk through the platform with your specific use cases in mind.
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TL;DR:
Amid the barrage of social media ads, email campaigns, and influencer endorsements that consumers navigate weekly, PWC highlights that 73% of people see customer experience as a pivotal factor in their buying decisions.
The techniques today’s customer service teams use are the foundation for those excellent experiences.
Below, learn five key customer service techniques for agents and four for CS leaders.
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Here are five essential techniques for agents to provide great customer service.
To deliver good customer service, agents should first aim to understand customers’ issues at the beginning of each interaction. Then, they can leverage other tactics like reframing statements and setting clear expectations.
Every customer service encounter is unique and should be approached with a fresh perspective. Here’s how to make sure you understand the customer’s issue before diving into problem-solving mode:
The words we choose in customer service can significantly impact the tone of an interaction.
Psychology professor Albert Mehrabian conducted insightful research on communication and found a fascinating breakdown: only 7% of a message's meaning is derived from the actual words spoken, while a much larger portion, 38%, is understood through tone. Meanwhile, body language proves to be the most influential factor, accounting for 55% of how the message is interpreted.
Since all customer conversations for ecommerce brands happen via chat, email, or on the phone (not face-to-face), agents can’t rely on body language. This means tone of voice becomes even more important for agents to get right.
How can you maintain positive language?
1️⃣ First, avoid negative words: “can't,” “won't,” or “don't” can often be reframed in a positive manner. Swap them for phrases like "I understand," "I'm here to help," and "Let's see what we can do," which are much more reassuring to customers.
2️⃣ Second, aim to be solution-oriented. Focus on potential solutions or next steps rather than dwelling on the problem.
What happens when a recent customer sends an email asking about how to fix a broken part from the product they purchased from you, and your agents don’t know enough about it to help?
Or, if your skincare line recently underwent a formula change that your agents get asked about, but they aren’t sure what was changed and how it alters the performance of your products?
Knowledge of the products you’re selling is critical for accurately informing customers and managing their expectations.
💡 Our recommendation: Encourage a culture of sharing by creating feedback loops across the entire organization. The product team should communicate product details and capabilities, marketing teams should share information about customer behavior, and support teams should share the pain points they hear from customers.
Plus, when one agent learns something new about a product, such as an undocumented use case or a common customer complaint, sharing this insight with fellow agents can enrich everyone with deeper product knowledge.
Every customer comes with a unique set of expectations and comfort levels, making flexibility in your communication skills a key skill for customer service agents.
Whether you’re talking on the phone or messaging the customer on Instagram, you can match a customer’s preferred style by recognizing customer profiles.
Pay attention to cues that suggest how each customer prefers to interact. Some customers are straight to the point, desiring quick, factual information with minimal fuss.
Others might appreciate a more personable and reassuring approach, especially if they're dealing with a stressful issue.
Take it from Deja Jefferson, CX and Consumer Insights Manager at Topicals: “I ensure that customer service provided by Topicals not only exhibits empathy when issues arise but should be seamlessly integrated throughout the entire transaction process. Our priority is to ensure that our customers feel fully supported at every step.”
If you use Gorgias Helpdesk to manage your customer support channels, you’ll easily be able to see historical conversations with customers to give you an idea of their preferred communication style. You can also leverage sentiment detection, a Gorgias feature that automatically detects the tone of voice the customer is using. Using sentiment detection, you can also prioritize support tickets based on customers' urgent needs.

Managing customer expectations is a delicate balance. You don’t want to overpromise services, but you also don’t want customers to feel like you aren’t able to help them.
The balance? Be optimistic about solving their issues, but equally crucial not to promise more than can be delivered. Here's how to set realistic expectations:
The truth is, you won't always have the answers customers want to hear. But being clear and honest with them can help them grasp why things are the way they are.
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Effective leadership in customer service hinges on empowering agents with the right tools and strategies to excel in their roles.
Considering that 78% of customers will switch to a competitor after multiple bad customer service experiences, it’s important for your team to be well-equipped for success.
Let’s talk about how to do that.
For customer service teams to excel, they require more than just basic customer information. Leads and managers can empower their teams by providing enriched customer data, leading to more personalized and efficient service.
A helpdesk software will make this easy — if it offers a range of integrations. This is an essential feature to look for because you want your helpdesk to mesh with your existing tech stack. Here’s why: agents need access to data beyond a customer’s name. Integrations are the only way a helpdesk can pull in this additional context.
We’re talking about past orders, historical conversations, engagement info, and conversion metrics into comprehensive customer profiles. This will help agents get a holistic view of the customer, paving the way for tailored interactions.
Bonus tip: Beyond your helpdesk, share any feedback you hear from customers with the rest of the team. Integrating your helpdesk with a tool like Slack can make this easy, and it’s one way the Love Wellness team actions quickly on the advice from customers:
“We have a channel in Slack dedicated to customer feedback. Dropping in feedback is part of the team’s daily and weekly responsibilities, which helps them get really familiar with all of the content.
“It also allows our team to dissect them and collaborate on how we can improve. You could also schedule recurring feedback share sessions with the Product or Website teams, or even invite them directly into Gorgias (at no extra cost) and create a dedicated view for product feedback, website feedback, and so on.”
—Amanda Kwasniewicz, VP of CX at Love Wellness
Templates are a big help for customer support teams, especially those who are strapped for time (which, let’s be honest, that’s 99% of them).
Two types to build include:
Gorgias offers dynamic, reusable answers, so your agents can build a template of canned responses for all your FAQs. These are easily accessible for agents to swiftly locate and use when replying to customers.

If you want some tips on how to craft these templated responses, check out this article with tips for responding to frustrated customers for a good start.
Just as every customer is unique, so too is every communication channel. Providing specialized training for agents in their chosen channels — be it phone, email, social media, or live chat — ensures they are not just familiar but highly skilled in navigating the nuances of these platforms.
But you can take this one step further by encouraging agents to become connoisseurs of specific product lines or types of issues. This deep dive into a particular area enables them to provide not just answers but insights, elevating the customer experience from good to great.
However, remember that specialization doesn’t mean working in silos. It's still crucial for specialized agents to also have a broad understanding across all areas.
💡 Tip: With Gorgias, you can auto-assign tickets to an agent based on issue or channel. This way, you’re routing tickets to agents who can best help every customer.
A tip that we love from Amanda Kwasniewicz at Love Wellness is the idea that to truly excel in customer service, a customer-first mentality needs to be woven into the very fabric of your organization.
This goes beyond the customer service department and includes everyone, from the C-suite to the front lines.
She suggests organizing workshops that paint the picture of the crucial role a customer-centric approach plays in every department. These sessions should highlight how each team member's contributions echo in the symphony of customer satisfaction.
“At Love Wellness, we believe that every single team member plays a vital role in creating a haven of care and understanding. That’s why we created an immersive customer experience training program that involves each and every one of us, including the president of the company and even our office manager!” she said.
Read more: Why customer service is important (according to a VP of CX)
For those who are eager to dive deeper into the world of customer service and sharpen their skills even further, Gorgias offers a treasure trove of resources.
Whether you’re starting from scratch or looking to refine your expertise, these materials are designed to enhance your understanding and execution of top-tier customer service:
Each of these resources is designed to instruct and inspire your customer service team to exceed expectations and create memorable customer experiences.
Exceptional customer service isn't just about the right words; the helpdesk tool you use is equally important to enhance efficiency and deliver exceptional service.
Gorgias is tailored to provide such support with innovative features that streamline your customer service processes. Let’s review a few in detail:
Macros are pre-scripted customer service templates that accelerate response times by using automation to tackle those repetitive but essential customer inquiries that come in droves. Think of them as pre-made customer service scripts.
Often called ‘empty-calorie tickets,’ queries like “Where is my order?” don't require personalized responses and can be time-consuming if handled manually. Automating responses to these repetitive questions frees your agents to focus on more complex issues.
Here are some other times when Macros help:
A staggering 88% of customers prefer to find answers independently, according to Statista. This tells us that the modern customer values autonomy, which is why self-service options are key.
Self-service options are resources for customers to get the answers they need without contacting an agent. These include FAQ pages, help centers, chat widgets, and interactive quizzes.
Here’s how each self-service option can benefit you:
Here’s a great example from BrüMate, which uses a product finder quiz in its customer knowledge base:

Live chat has become an indispensable tool for connecting with customers in real-time. Some inquiries present a great opportunity to sell a specific product, which Olipop shows here:

Gorgias live chat is designed to integrate seamlessly with the leading platforms for ecommerce customer support. It allows you to manage live chat tickets alongside those from email, phone, and social media, providing a unified interface to serve your online customers more effectively.
Chat campaigns can trigger when certain conditions are met (like visiting/dwelling on a certain page or being a repeat shopper). You can hit these targeted shoppers with personalized product recommendations or provide a unique discount code.
To sum it up: You're not only addressing customer needs in real-time with live chat but also creating opportunities to influence purchasing decisions positively.
Gorgias boasts a suite of over 100 app integrations, covering every facet of your store's tech stack like CRMs, loyalty tools, ERPs, and more. Some popular choices are Shopify (ecommerce), Okendo (reviews), Yotpo (loyalty rewards and referrals), and Recharge (subscriptions).
This extensive range means that Gorgias can likely connect with whatever tools you use to manage your ecommerce business, creating a streamlined workflow for your customer service agents.
The real win with these integrations? They let your agents get super personal with support.
When an agent pulls up a ticket, they’re able to see everything they need to know— past buys, loyalty points, you name it. This means they can give spot-on help that feels really tailored to each customer, cutting down on all that back-and-forth and making the whole experience smoother.
“Having quick access to previous order info in the helpdesk is super convenient and helps us turn our support agents into sales people.”
—Ian Anderson, Operations Manager @ mnml
When it comes to turning satisfied customers into sales, Gorgias users are living proof of the potential.
Take Kirby Allison, for instance, who saw a 23% uptick in conversions after automating 30% of their customer support tickets. Or consider TUSHY, influencing a whopping 25% of their sales through Gorgias Convert.
These success stories highlight a clear message: customer service strategy isn’t just about problem-solving but about creating opportunities.
Ready to see the difference a proactive customer-first approach can make for your bottom line? Give Gorgias a try.

Consumers are increasingly multi-screen and multi-channel. From desktop to mobile to tablet, they interact with businesses through Instagram DMs, Facebook Messenger, emails, support chat, and even phone calls.
Though omnichannel customer service lays a valuable foundation, communicating effectively as a brand involves weaving marketing, sales, and customer service into a cohesive omnichannel communication strategy.
An omnichannel communication approach makes it easier to talk to customers in a personal way, helping drive sales and keep customers loyal.
This article explores how centralizing communications offers your team — from marketing and sales reps to support staff — the tools and insights they need for a consistent customer experience.
By doing so, you don’t just react to customer needs; you anticipate them, opening avenues for proactive engagements that positively impact both relationships and revenue.
Omnichannel communication is a customer-centric approach that integrates different methods of communication and business channels into a unified, seamless experience for prospective and existing customers.
Omnichannel communication goes beyond just offering multiple avenues for customer interaction; it creates a seamless and integrated experience across all touchpoints.
Omnichannel communication focuses on three key facets—data unification, fluidity of customer interactions, and data-driven insights. By focusing on these key tenets, omnichannel communication moves beyond being a buzzword to a strategic approach that places the customer at the center of your business operations. This strategy allows retailers to deliver an experience that is consistent, contextually relevant, and highly personalized.
Centralizing customer data from various digital channels like email, social media, and in-store interactions enables a more consistent and personalized experience. Also, it serves as the foundation for customer profiles. These profiles are critical for delivering targeted offers, rewards, and personalized service to shoppers.
Customers don't experience channels; they experience your brand. They want to transition effortlessly between online chats, phone calls, and physical visits and have a conversation pick up right where it left off — and the speed difference matters: Gorgias research found that chat is 38 times faster than email on first response and 8 times faster on resolution. This seamlessness is particularly beneficial for ecommerce retailers, who can use these channels to provide real-time updates such as stock availability or order status, enhancing customer satisfaction and reducing friction.
Turn data into actionable insights. By analyzing integrated data across platforms, you can discern valuable patterns in customer behavior and preferences, allowing you to continuously refine your marketing strategies and improve the overall shopping experience.
Omnichannel communication moves beyond being a buzzword to a strategic approach that places the customer at the center of your business operations.
While the concept sounds promising, how does it manifest for a single brand?
Graza excels at omnichannel communication, offering its customers a seamless and enriched experience across various touchpoints.
Using Gorgias Live Chat, they provide real-time customer support, resolving queries when customer service reps are online. As an alternative, their customer service email channel serves as both a satisfaction tool and a means for personalized marketing, sending targeted offers.
On social media platforms — like Facebook, Twitter, and Instagram — they respond to customer inquiries and engage the community with educational content about their single-origin olive oils.


This multi-layered approach ensures that every interaction is not just a transaction but an opportunity to deepen the relationship. The outcome is higher customer satisfaction and increased brand loyalty, leading to repeat purchases and a more robust bottom line.
We’re in a platform renaissance: retailers now have many ways to connect with customers.
However, not all channel strategies are created equal. Understanding the differences between omnichannel and multichannel approaches is critical to developing a communication plan that meets customer expectations.
Both omnichannel and multichannel strategies use multiple channels for customer engagement. Omnichannel takes it a step further by integrating data across these platforms. This provides cohesive and personalized customer experiences, rather than fragmented interactions that are often the result of multichannel approaches.
An omnichannel strategy focuses on offering a seamless customer experience across all touchpoints, whereas multichannel often treats each channel as an isolated silo. This can result in a disjointed and less satisfying journey for customers who hop from one channel to another, asking the same question to different customer service reps.
Omnichannel doesn’t just collect data; it leverages real-time analytics. This level of insight can drive data-driven decision-making, which is generally absent in multichannel strategies. This makes multichannel less effective for optimizing customer engagement and marketing efforts.
To make an omnichannel strategy work, you need strong tech systems that bring together data and tasks from different channels. While this may cost more at first compared to simpler multichannel setups, the benefit is happier customers and smoother day-to-day running of your business.
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In the retail landscape, multiple channels connect your brand and your customers. To harness the full power of an omnichannel strategy, you need to focus on integrating different types of customer service and specific channels that offer different advantages for customer engagement.
Selecting the right mix of channels allows you to meet your customers where they are and offer them a consistent and seamless brand experience. Keep in mind that different communication channels have different customer expectations. According to data collected by Gorgias from over 12,000 ecommerce brands, here are the average response times for different communication channels:
With that in mind, here are some channels to consider including in your own omnichannel communications strategy:
Email remains a powerful tool for businesses to speak to customers, allowing for targeted marketing campaigns tailored to specific customer segments. Personalized follow-up emails are also critical for nurturing long-term customer relationships and encouraging repeat purchases.
SMS is an increasingly effective channel for businesses, offering real-time customer engagement. Targeted SMS campaigns can reach specific customer groups with timely offers and updates, while personalized follow-up messages help sustain long-term relationships and promote repeat business.
Platforms like Facebook and Instagram facilitate immediate customer engagement and provide a wealth of data on customer preferences and behavior. This data can be integrated into your larger omnichannel strategy to refine marketing campaigns and product offerings.
Live chat offers real-time, on-site customer support, which can drastically improve conversion rates. Resolving customer queries and concerns in real time removes barriers to purchase and enhances customer satisfaction.
A dedicated mobile app can be a hub for personalized promotions and a streamlined shopping experience. A well-designed app can significantly boost customer engagement, build loyalty, and even integrate with your in-store experiences.
Physical stores are not just about sales; they offer tactile and immediate experiences that are challenging to replicate online. They also provide opportunities for cross-promotion with online channels, making a thoughtful in-store experience a vital part of a cohesive omnichannel strategy.
Even in the digital age, phone support retains its value. According to a report, 43% of consumers favor non-digital customer service methods, such as in-person consultations or phone calls. Many customers prefer the immediacy and personal touch of voice support, especially for resolving complex queries or deciding about high-ticket items.
Implementing an omnichannel strategy has far-reaching implications for your business, affecting everything from customer engagement to your bottom line. Here, we delve into how this integrated approach can drive revenue, increase customer loyalty, and offer other pivotal advantages for your ecommerce business.
A solid omnichannel strategy amplifies brand awareness by offering unified messaging across all customer touchpoints, whether social media, email, or in-store interactions.
This consistency strengthens brand recognition and facilitates customer engagement as they know what to expect from your brand. This multi-pronged strategy, leveraging both digital and traditional channels, ensures you’re where your customers are.
Parade, an undergarment brand committed to comfort and inclusivity, maintains a solid social media presence that includes customer support on platforms like Instagram and Facebook. Using Gorgias tools, Parade offers customers a seamless omnichannel communication experience.

Omnichannel communication isn’t just about convenience — it’s a revenue multiplier. Customers who feel understood and valued across all touchpoints are more likely to become repeat buyers. This is achieved by harnessing data for personalization and ensuring consistent, real-time communication. Here’s how:
Earning customer loyalty is about creating brand advocates through consistently exceeding expectations. Exceeding expectations across all channels fosters a sense of reliability and trust in your brand. Here’s how:
BYCHARI is a luxury jewelry brand established in 2012, known for its unique and modern handmade pieces designed for women who desire luxury while appreciating simplicity. The brand excels in omnichannel communication, offering a variety of customer touchpoints, including a contact form, live chat powered by Gorgias, calls, and emails.
To empower customers 24/7, especially when live support is unavailable, BYCHARI also provides self-service options like comprehensive FAQs, and uses Gorgias Flows to automate tasks such as order tracking and management.

Centralized data and analytics make your marketing campaigns smarter and more efficient. When you understand your customers’ behaviors and preference across channels, your targeting becomes dynamic and your messaging more personalized. Here’s how:
A holistic view of customer data from multiple touchpoints uncovers insights that can drive quick, informed decisions. This rich data not only refines marketing efforts but also helps product teams tailor their offerings. Here’s how:
An omnichannel communication strategy can transform customer engagement and drive meaningful business results. This section will guide you through the essential steps for crafting a practical omnichannel approach that aligns with your retail goals.
Understanding your customer’s journey begins with measuring engagement across multiple channels. Use analytics tools to capture key metrics such as click-through rates and time spent on various pages, providing a quantitative foundation for your omnichannel communication strategy. By comparing these performance metrics, you gain insights into which channels are most effective in capturing and holding customer attention.
While these analytics can offer a comprehensive view of customer activity on marketing platforms, don’t overlook support channels. Platforms like Gorgias can measure engagement metrics within customer support, supplementing your overall data collection. Gorgias Support Performance serves as a control center for tracking key metrics such as ticket volume and agent activity, offering actionable insights to improve customer experience and measure engagement across various platforms.
Combining this support data with your broader analytics will provide a fuller understanding of customer engagement, equipping you to refine your omnichannel strategy.
Employee training ensures that your omnichannel communication strategy reflects your brand’s voice and values. Developing a robust employee training program can instill these crucial elements in all customer-facing personnel, setting the stage for consistent brand representation. Real-life scenarios can serve as effective teaching tools, guiding employees on maintaining branding consistency during interactions, whether via email, social media, or SMS.
Given that companies evolve, your training materials must keep pace with any shifts in brand messaging or objectives. Regular updates to these resources can help your support team adapt to changes and continue to offer an aligned and cohesive customer experience across all touch points.
Don’t miss our article on customer service training, which provides 15 valuable activities your team can try to improve customer interactions.
When creating an effective omnichannel communication strategy, the importance of centralizing customer data can’t be overstated. A CRM system aggregating customer information from various touch points into one database is invaluable. It brings together disparate data and provides an integrated view of customer interactions, helping your team make data-driven decisions.

To realize the full potential of this centralized approach, ensure your CRM seamlessly integrates with all communication channels your company uses, enabling real-time data updates. Data from customer support platforms like Gorgias can then be merged with the information in your CRM, enhancing the quality and depth of the customer profiles that drive your omnichannel strategy.
Effective omnichannel communication necessitates collaboration that extends beyond the confines of individual departments. One approach is to conduct regular cross-departmental meetings where teams can share and discuss customer data insights. This guarantees everyone is on the same page about customer behaviors and needs, contributing to a holistic customer engagement strategy.
All departments should be aligned to respond more cohesively to customer needs. Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, ensures that her team collaborates broadly by having an internal communication channel for discussing customer concerns.
“We have a channel in Slack dedicated to customer feedback,” she says. “Dropping in feedback is part of the team’s daily and weekly responsibilities, which helps them get familiar with the content. It also allows our team to dissect them and collaborate on how we can improve.”
Establish a feedback loop, particularly with customer service, to continually share frequently encountered customer issues and trends. This feedback can catalyze improving products, services, and customer communication strategies.
Elevate your omnichannel strategy by tailoring your communications to the specific channels your customers prefer. Leveraging your centralized customer data, identify which channels—email, social media, or in-app notifications—are most effective for reaching your audience. Then, craft personalized messages that are not generic but informed by customer behavior and past interactions.
Continuously monitor how well personalized customer service resonates with your customers by tracking engagement metrics such as click-through and open rates. Equally important is collecting and analyzing customer feedback to understand the qualitative impact of your efforts. Based on these insights, make necessary adjustments to your messaging strategy, ensuring it remains aligned with customer preferences and behavior.
According to a report from Statista, 88% of consumers anticipate that brands will offer self-service support options. Automation is vital for maintaining a 24/7 connection with your customers. Implement chatbots on your website and social media channels to answer frequently asked questions immediately, enhancing user experience and satisfaction through proactive customer service.
Employ customer experience automation tools like Gorgias Automate to configure automated Flows for common customer queries. Fable, a brand dedicated to elevating dining experiences with premium dinnerware, utilizes Automate to provide round-the-clock customer service. Their automated flows are designed to swiftly answer common customer queries, such as active discounts and return procedures, ensuring customers can always find the information they need.

Despite the benefits of a unified approach to customer communication, a 2022 report found that only 12% of digital platforms are “highly integrated.” Gorgias can be your key partner in achieving an omnichannel communication strategy, offering core helpdesk capabilities designed to seamlessly integrate customer interactions across multiple channels. Gorgias ensures that you meet and exceed customer expectations while driving revenue.
Gorgias equips agents with enriched customer profiles, pooling data from different channels — including social media, voice, and SMS — to provide context during interactions. This feature allows for quicker, more accurate support, as agents don’t have to switch between each communication platform to gather customer history.

Gorgias is a one-stop hub, consolidating communications from email, chat, social media, and more, enabling easier management and response. The centralized system facilitates proactive support, which can directly impact sales by addressing customer concerns before they abandon their shopping carts.

Gorgias allows you to maintain consistent branding by customizing the look and feel of your customer support channels. This ensures that no matter the channel, customers always have a uniform omnichannel experience that reinforces brand identity and trust.
Cupcakes and Cashmere, founded by Emily Schuman in 2017, has gained a devoted following for its curated jewelry, loungewear, and home goods. To extend this trust and cohesiveness into customer support, the brand uses Gorgias, its chat widget color-matched to the brand’s palette, ensuring a visually seamless and engaging user experience across its website.

If you’re focused on streamlining customer interactions across various channels, consider exploring what Gorgias offers. With features that centralize communication, enrich agent information, and ensure brand consistency, Gorgias aims to make the omnichannel communication strategy more manageable and effective for ecommerce retailers.
Take a closer look to see how these capabilities could fit into your existing operations and customer engagement efforts. To learn more about Gorgias, book your demo today.
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