A practical guide to the Gorgias Google Sheets integration (and its limitations)

Kenneth Pangan

Katelin Teen
Last edited January 16, 2026
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If you're running a support team, you know the feeling: you’re sitting on a mountain of helpdesk data, and you want to turn it into useful insights as efficiently as possible. You know the answers to a better customer experience are available in those tickets, and extracting them effectively is key. This is exactly why the Gorgias Google Sheets integration has become a go-to for so many teams trying to build custom reports or share data outside the helpdesk.
But here’s the context. While exporting data to a spreadsheet solves many reporting needs, it usually introduces a few new considerations. This guide will walk you through not just how and why teams set this up, but also the specific considerations that pop up along the way. More importantly, we'll talk about a smarter, AI-driven way to get the answers you need to complement your manual workflows.
Understanding Gorgias and Google Sheets
First, let's make sure we're on the same page. You're probably using at least one of these tools already, but it's how they work together that really matters here.
What is Gorgias?
Think of Gorgias as the mission control for e-commerce support teams. It’s a mature, industry-leading helpdesk that pulls all your customer conversations, from email and live chat to social media, into one clean view. The whole point of Gorgias is to help your team deliver fast, personal support that actually drives revenue, putting customer data and e-commerce actions right where your agents need them.

What is Google Sheets?
And then there's Google Sheets, the cloud-based spreadsheet app that pretty much everyone uses. It’s flexible, powerful, and great for organizing and analyzing data. Because it’s so collaborative and easy to pick up, it often becomes a standard spot for teams to build custom reports, track projects, and share info that supports their broader operations.
Common use cases for the Gorgias Google Sheets integration
It's worth taking a second to understand why so many teams go down this path in the first place. The integration is a practical solution for data sharing, and seeing where it works well helps clarify how to optimize it. Most teams get this done using no-code automation tools like Zapier or Make.com, which act as a bridge to shuttle data from Gorgias to Sheets.
Here are a few of the most common reasons teams set one up:
Build custom reports and dashboards
Gorgias has robust built-in reporting, but maybe you need to track a very specific KPI or mix your support data with info from sales or marketing. Exporting ticket data to Google Sheets gives you the freedom to slice and dice it any way you see fit. You can build custom charts, pivot tables, and use complex formulas to get a specialized view of your performance.
Track specific ticket types
Let's say you want to keep a close eye on every single ticket that gets tagged with "product-defect" or "shipping-damage." A "Gorgias Google Sheets integration" can automatically create a running list of these tickets in a spreadsheet. This is helpful for sharing with your product or operations teams, who may need to see a central log of issues alongside their other operational data.
Create a backup log
Sometimes you just need to keep a record of conversations for compliance reasons or your own internal data policies. Setting up a workflow that automatically archives ticket data from Gorgias to a Google Sheet is a simple, "set-it-and-forget-it" way to meet those requirements. It ensures you have an external backup that is easy for non-support team members to access.
Considerations for the Gorgias Google Sheets integration
Okay, so you've set up your integration. New tickets are appearing in your spreadsheet, and your custom report is coming to life. This is a great start. However, as your team scales, you might notice a few areas where the process could be more efficient.
Sync frequency and data updates
Most of these no-code integrations run on a schedule, checking for new data every 5 to 15 minutes. This means the information in your Google Sheet is naturally a little bit behind the real-time activity in Gorgias. For a high-level weekly report, that's perfectly fine. But for making decisions in the moment, you'll still want to rely on the live Gorgias dashboard for the most current data.
Managing manual analysis workflows
The integration moves data, but a person still needs to manage it. Someone typically opens the spreadsheet, reads through the rows, builds pivot tables, and spots trends to decide on the next steps. This creates a manual workflow where a support manager analyzes the sheet and then returns to Gorgias to create a new macro or update the team. It’s a process that works well for strategy but takes time to execute.
Helping agents beyond basic logging
A spreadsheet functions as a passive log of your support operations. It is an excellent tool for analysis, but it isn't designed to automatically tag an incoming ticket, assign it to the right person, or draft a reply for a common question in real-time. To help agents answer tickets faster and more accurately, you need tools that work directly within the Gorgias interface.
The better alternative: An AI agent
If the goal is to make your support operations even faster and more efficient, you can complement Gorgias with a tool that does more than just log data. This is where an AI agent like eesel AI comes into the picture, solving core workflow challenges that a spreadsheet integration isn't built to handle.
From looking at old data to taking action now
Instead of just logging a ticket to a spreadsheet after the fact, an AI agent like eesel AI connects directly with Gorgias and analyzes tickets the moment they arrive. It can instantly figure out what the customer needs and take action. For a specific ticket, eesel AI can automatically tag it, route it to the correct queue, and even draft a reply to the customer. This helps the triage process happen as soon as the ticket hits Gorgias.
Unify knowledge beyond the integration
A spreadsheet only knows the specific data exported from your tickets. An AI agent, however, can tap into your help center, internal wikis, or product docs. To solve a customer's problem effectively, having context from all your knowledge sources is invaluable.
eesel AI plugs into everything: past tickets, your help center, Google Docs, and Confluence to build a complete picture of your business. This allows it to assist with a much wider range of questions because it has all the information available, not just what's in a single row of a sheet.

Simulate and deploy with confidence
While a simple integration workflow is great for data transfer, eesel AI offers advanced features like simulation mode to ensure your automation is working exactly as intended. You can test your AI agent on thousands of your past Gorgias tickets in a safe environment. You'll see exactly how it would have responded, get forecasts on resolution rates, and refine its behavior before it interacts with customers.

Comparing pricing: The integration vs. an AI platform
It's important to look at the value you're getting from each part of your tech stack.
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Gorgias Pricing: Gorgias offers tiered plans to match different team sizes, starting around $10/month for 50 tickets. This provides the mature foundation your support team needs.
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Integration Platform Pricing: Tools like Zapier have various tiers. Teams with higher ticket volumes typically move to paid plans, which can run from $30 to $60 per month or more to handle the data transfer.
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eesel AI Pricing: eesel AI provides transparent pricing based on the value it adds to your Gorgias setup. Because plans aren't based on a "per-resolution" fee, your costs remain predictable as your automation becomes more successful. This investment delivers returns through faster agent responses and automated triage, adding a layer of intelligence to your existing data.
What's the bottom line?
A Gorgias Google Sheets integration is a clever and useful way to manage custom reporting and historical logging. It solves the immediate need of pulling data out of your helpdesk and into a flexible format for analysis. As the industry moves toward automation in 2026, it's important to view this as one part of a larger strategy.
Modern support teams excel when they use tools that can analyze, understand, and act on information in real-time within their existing Gorgias workflows. AI agents are a perfect complement to Gorgias, shifting the focus from manual data crunching to intelligent, autonomous action. They don't just record what happened; they help you provide better support right now.
Ready to optimize your reporting and automation? See how eesel AI can enhance your Gorgias support in minutes. Start your free trial or book a demo to see it for yourself.
Frequently asked questions
Teams often use this integration to build custom reports, track specific ticket types like product defects, or create backup logs for compliance. It provides flexibility to analyze data alongside Gorgias's powerful built-in reporting.
Specific considerations include data sync intervals, manual work for advanced analysis, and the separation between data insights and immediate actions within the helpdesk. It's often used as a historical logging tool.
Typically, these integrations run on a schedule (e.g., every 5-15 minutes), meaning the data in Google Sheets reflects the state of your tickets at the last sync. For real-time operational needs, Gorgias's internal dashboards are often preferred.
While it automates data export, a team member typically analyzes the spreadsheet to identify trends, then implements solutions back in Gorgias. It's an excellent way to bridge data across platforms for strategic planning.
The integration primarily serves as a passive log for management and reporting. It doesn't directly assist agents with tagging incoming tickets, routing them, or drafting replies, which are tasks typically handled within Gorgias or by AI extensions.
An AI agent is a strong choice when you need real-time action, unified knowledge from various sources, and automated ticket triage or resolution. It complements Gorgias by turning data logging into intelligent, autonomous action.
While no-code integration tools have low entry costs, teams should consider the manual effort involved in analysis. AI platforms can offer high value by automating those same insights and actions directly within your workflow.
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Article by
Kenneth Pangan
Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.





