Intercom Google Sheets: A Complete integration guide for 2025

Stevia Putri

Katelin Teen
Last edited October 6, 2025
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You have a ton of valuable customer data in Intercom, but moving it over to a flexible tool like Google Sheets for a closer look can feel like a real pain. You’re trying to build custom reports, figure out support trends, or create sales dashboards, but getting from point A to point B isn't always straightforward.
The goal is simple, but the methods can be a headache, running the gamut from tedious manual exports to surprisingly complex and pricey automation platforms.
This guide will walk you through the most common ways to set up an Intercom Google Sheets integration, covering the good and the bad of each. More importantly, we'll talk about what comes after you’ve exported your data: how to turn those numbers into actions that actually save you time.
What is Intercom?
Intercom is a well-known Customer Communications Platform that businesses use to chat with their customers. Think of it as the main hub for all your customer conversations. It powers the live chat on your website, sends out targeted messages inside your app, and gives your support team a shared inbox to manage tickets. Since so many customer interactions happen there, it collects a massive amount of useful data on user behavior, common questions, and sales opportunities.
A screenshot of the Intercom Messenger, which is the main customer communication hub discussed in the blog.
What is Google Sheets?
Google Sheets is the trusty, cloud-based spreadsheet app we all know and probably use daily. It’s much more than a digital ledger; it’s a powerful tool for working together in real-time, crunching data, and creating visuals. Teams use it to sort through information, make charts, build pivot tables, and whip up custom reports without needing a full-blown business intelligence suite.
Why create an Intercom Google Sheets integration?
Getting your data out of Intercom and into Google Sheets opens up a level of analysis that isn't always possible with Intercom's built-in reporting. It gives you the freedom to slice, dice, and combine your data however you want.
Keep a running list of new leads and user sign-ups
Imagine every new person who chats with you in Intercom is automatically added to a spreadsheet. This would create a single, up-to-date list that your sales team can use for outreach, your marketing team can use for onboarding emails, and leadership can use to see how user growth stacks up against ad spend.
Analyze conversation data to spot trends
By exporting conversation details like tags, topics, and how long it took to solve them, you can start to see the bigger picture. Are people constantly asking about a certain feature? Is a particular bug popping up over and over? A Google Sheet makes it easy to spot these recurring themes and find gaps in your help docs or product.
Monitor your support team’s performance
Support managers can pull metrics like first response time, number of conversations per agent, and customer satisfaction scores into one sheet. This lets them build custom performance dashboards to track how the team is doing, spot who might be overloaded, and find chances for coaching, all without being stuck with the default reports inside Intercom.
An Intercom dashboard showing customer satisfaction scores, a key metric that can be exported via an Intercom Google Sheets integration.
Build custom dashboards and reports
This is where things get really interesting. In Google Sheets, you can mix your Intercom data with information from other places, like your CRM, payment system, or analytics platform. This lets you build a complete picture of the customer journey, from their first visit to their most recent support ticket and total spending.
How to connect Intercom Google Sheets: 3 common methods
There’s no single "best" way to connect Intercom and Google Sheets. The right method for you really depends on your budget, your technical comfort level, and how fresh your data needs to be. Let's walk through the three most common approaches.
Method 1: Manual and scheduled CSV exports
The most direct method is built right into Intercom. You can export your conversation data, user lists, or company info as a CSV file and then just import that file into Google Sheets. Intercom also has a feature that lets you schedule these exports to run daily, weekly, or monthly.
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Pros: It’s completely free and doesn’t require any technical setup. If you just need a high-level snapshot once in a while, this gets the job done.
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Cons: The process is a manual slog. The data is old the second you export it, it’s easy to make mistakes during the upload, and it becomes a mess to manage if you have a lot of conversations.
Method 2: Using no-code automation platforms
This is where third-party integration platforms like Zapier, Coupler.io, and Unito come into play. These tools act as a bridge between your apps, using simple "if this happens, then do that" logic to move data automatically. For instance, you could set up a rule that says, "When a new conversation is created in Intercom, add a new row in Google Sheets."
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Pros: It’s way more automated than messing with CSV files, can give you near real-time data updates, and you generally don’t need to write any code.
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Cons: The convenience has a price tag. These platforms can get expensive, with monthly fees based on how many tasks you run or how much data you move. Setting them up can also be surprisingly finicky, needing you to carefully map fields to make sure data ends up in the right columns. At the end of the day, it’s another tool to pay for, manage, and fix when it breaks.
Here’s a quick look at how some popular tools compare:
Tool | Key Feature | Pricing Model | Ideal For |
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Zapier | Trigger-based workflows for specific events (e.g., "new conversation"). | Starts free; paid plans based on "tasks" per month. | Simple, one-off automations. |
Coupler.io | Data syncing on a schedule (e.g., refresh all users every hour). | Paid plans based on runs and data volume. | Regular data dumps for reporting. |
Unito | Deep, two-way syncing of records between tools. | Paid plans based on items in sync and number of users. | Keeping records identical across platforms. |
Method 3: Custom scripts and developer tools
If you have technical folks on your team, the most flexible option is to use Intercom's API directly. A developer can write a script using Google Apps Script to pull data from Intercom and push it into a spreadsheet on a schedule. Tools like Singer.io also offer open-source ways to build these custom data pipelines.
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Pros: This approach is completely customizable to your exact needs and can be incredibly powerful.
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Cons: It's a non-starter for non-technical teams. It takes a good amount of developer time to build and, more importantly, to maintain. When Intercom updates its API, your script might break, leaving you without data until someone fixes it.
This video demonstrates how to connect live Intercom data directly into a spreadsheet, illustrating one of the core topics of the blog.
The limitations of a standalone Intercom Google Sheets integration
Exporting your data for analysis is a solid first step, but let's be honest: it's a passive activity. It helps you understand problems after they’ve already happened, but it doesn't do much to help you solve them in the moment.
Your data is static and needs manual review
Once your data is sitting in Google Sheets, it's just a snapshot in time. A person still has to spend time digging through the numbers, trying to find trends, and deciding what to do about them. This creates a big delay between finding an insight and actually doing something about it.
A reactive, not proactive, solution
This whole integration is designed for looking back at what happened. It won't help one of your agents answer a ticket faster, deflect a simple question before it even reaches a human, or solve an issue for a customer who's waiting for a reply right now. You're looking in the rearview mirror instead of at the road ahead.
How to go beyond Intercom Google Sheets reporting with AI automation
So, what's next? Instead of just analyzing past conversations, what if you could use them to automatically solve future ones?
This is where a dedicated AI platform like eesel AI really makes a difference. It connects directly to Intercom and your other knowledge sources, not just to pull data for reports, but to provide active, smart automation that works for you.
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Learns from your past tickets: eesel AI goes through your historical Intercom conversations to automatically pick up your brand's voice, understand common problems, and find the right answers. It turns your biggest data source, your support history, into an asset you can use right away.
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Goes live in minutes: Forget about mapping fields in Zapier or waiting on developers. eesel AI offers a one-click integration with your helpdesk. It's a self-serve platform you can set up and start testing in a few minutes, not days.
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Assists and automates: eesel AI isn't a one-trick pony. Its AI Copilot can draft accurate, on-brand replies for your human agents, helping them get through tickets faster. At the same time, the AI Agent can work on its own, handling routine questions 24/7 so your team can focus on the trickier stuff.
Eesel AI Copilot assisting a human agent inside the Intercom ticket view, moving beyond a simple Intercom Google Sheets integration.
- Simulate with confidence: Worried about letting an AI talk to your customers? Fair enough. eesel AI’s simulation mode lets you test your setup on thousands of your past tickets. It shows you exactly how the AI would have responded and gives you a clear forecast of how many issues it could resolve before you ever turn it on for live customers.
From Intercom Google Sheets analysis to automated action
Integrating Intercom with Google Sheets is a smart move for any team that wants to get serious about data-driven reporting. Whether you use manual CSVs, no-code tools, or custom scripts, getting your data into one place is a key step for analysis.
But that analysis is reactive. It tells you what already happened, but it doesn't lighten your team's workload or make the customer experience better in the moment.
For teams ready to move from just looking at their support data to actively using it, a dedicated AI platform is the logical next step. It’s time to turn your insights into action.
Ready to turn your support data into resolutions?
Stop just reporting on your Intercom conversations and start automating them. With eesel AI, you can train an AI agent on your past tickets and knowledge bases in minutes.
Try eesel AI for free or book a demo to see it in action.
Frequently asked questions
Integrating Intercom with Google Sheets allows you to perform deeper data analysis than Intercom's built-in reports. You can track leads, analyze conversation trends, monitor support team performance, and build custom dashboards by combining data from various sources.
The simplest method is to use Intercom's built-in manual or scheduled CSV exports. You can download your data as a CSV file and then import it directly into Google Sheets, requiring no technical setup or coding.
For near real-time updates, you should consider using no-code automation platforms like Zapier or Coupler.io. These tools can automatically transfer data from Intercom to Google Sheets based on triggers or a set schedule, minimizing data staleness.
Yes, the most straightforward free method involves using Intercom's native CSV export feature. You can manually export your data and import it into Google Sheets, or schedule these exports to be delivered periodically.
A standalone Intercom Google Sheets integration provides only static, reactive insights into past events. It requires manual review and doesn't offer proactive solutions, meaning it won't actively help solve customer issues in real-time or reduce agent workload.
You can export various types of customer data from Intercom, including conversation details (tags, topics, resolution times), user lists, and company information. This allows for comprehensive analysis of customer interactions and behavior.
No-code platforms are ideal for teams without developer resources who need automated, near real-time data flow without writing code. Custom scripts are better for highly specific, complex integration needs and when you have dedicated developers for building and maintaining them.