How to Create Google Analytics Reports with Claude Code (No Marketer Required)

Step-by-step guide to building custom Google Analytics dashboards, automating reports, and extracting insights using Claude Code and Chrome. No technical skills needed.

By Mark Fershteyn·

How to Create Google Analytics Reports with Claude Code (No Marketer Required)

Claude Code taking over my browser to create dashboards and reports from scratch

I needed Google Analytics reports. I didn't want to learn Google Analytics.

That's probably you right now. You know the data is there. You know it matters. But every time you open GA4, you're greeted by a wall of dimensions, metrics, and interfaces that seem designed by engineers for engineers.

So you do what most founders and marketers do: you either ignore it, export something basic to a spreadsheet, or add "hire analytics person" to a list you'll never get to.

I was the same way. Then I tried something different.

A
Adocomplete
@adocomplete

Claude Code for Chrome is really something else. I haven't used Google Analytics in a minute, not even sure what I needed and the product has changed so drastically over the last few years. One prompt and I got some nice dashboards to get me going.

Read on X →

This guide was inspired by Ado's post. Thanks for sharing the workflow.

This isn't a fluke. Claude Code with the Chrome extension can log into your GA account, navigate the interface, extract exactly the data you need, and help you build dashboards-all from plain English.

No SQL. No API keys. No hiring anyone.

This guide shows you exactly how to set it up.


Why This Changes Everything for Non-Technical People

Here's the thing you need to understand: Claude Code can do literally anything a human can do on a computer.

Click buttons. Navigate interfaces. Read screens. Fill out forms. Extract data. Build reports. It's not a chatbot giving you instructions to follow-it's an agent that takes over your browser and does the work.

But here's what makes it different from hiring someone: Claude has the knowledge of thousands of data analysts, marketers, developers, and domain experts baked in. It knows GA4's interface better than most people who use it daily. It knows which metrics actually matter. It knows how to build dashboards that tell a story.

This changes the math on skills entirely.

You used to have two options: spend months getting good at something, or hire someone who already is. Now there's a third option-partner with an AI that's already world-class at almost everything.

Want to be a marketer? Claude can run your analytics, write your copy, and build your landing pages. Want to be a founder? Claude can do your market research, build your MVP, and create your pitch deck. Want to be a product manager? Claude can analyze user feedback, write specs, and prioritize your roadmap.

There's no excuse anymore to not be 80% good at something.

The last 20%-the taste, the judgment, the relationships, the strategy-that's still you. But the execution? The technical skills? The hours of learning interfaces and tools? That's optional now.


Google Analytics is a perfect example.

The data you need is almost always in there. The problem is getting to it.

GA4 has over 200 dimensions and metrics. Most marketers use maybe 10 of them-and they're not even sure those are the right 10.

The old way:

  • Learn GA4's interface (hours)
  • Figure out which reports matter (more hours)
  • Export to spreadsheet, manually clean (tedious)
  • Repeat weekly/monthly (forever)

The Claude Code way:

  • Tell Claude what you want to know
  • It logs in, finds it, extracts it
  • You get answers in minutes
😵
Old WayLearn GA4, fight the UI
vs
Claude CodePlain English → answers
Old way vs Claude Code way-the difference is speed and accessibility

This isn't about replacing analysts. It's about giving you-the founder, the marketer, the operator-direct access to your own data without a gatekeeper.

Context

New to Claude Code? This guide assumes you have it set up. If not, follow our 15-minute Mac setup guide first, then come back here.


Getting Set Up

Getting Claude Code connected to Google Analytics takes about 5 minutes. Here's everything you need.

RequirementDetails
Claude Pro$20/month at claude.ai
Claude CodeInstalled on your computer (setup guide)
Chrome Extension"Claude in Chrome" from the Chrome Web Store
Google AnalyticsA GA4 property you have access to

Install the Chrome Extension

The Claude in Chrome extension creates a bridge between Claude Code (running in your terminal) and your browser. It's the secret sauce that lets Claude control your browser-including logging into sites you're already authenticated on, like Google Analytics.

  1. Open Chrome and go to the Claude in Chrome extension in the Chrome Web Store
  2. Click "Add to Chrome"
  3. Confirm the installation when prompted

Tip

Make sure you're using Google Chrome specifically. The extension doesn't yet work on Brave, Arc, or other Chromium browsers.

Connect Claude Code to Chrome

Open your terminal and start Claude Code with Chrome enabled:

Terminal - Starting Claude Code with Chrome
$claude --chrome
Claude Code v2.1.0
Chrome extension connected
Ready. Browser automation enabled.

You can also type /chrome inside Claude Code to check the connection status or reconnect if needed.

If you see "Chrome extension not detected":

  • Make sure the extension is installed (v1.0.36 or higher)
  • Make sure Claude Code is updated (v2.0.73 or higher)
  • Try restarting both Chrome and Claude Code

Log Into Google Analytics

Before asking Claude to pull data, make sure you're logged into Google Analytics in Chrome.

  1. Open Chrome and go to analytics.google.com
  2. Sign in with your Google account
  3. Navigate to the GA4 property you want to analyze

Why this matters: Claude Code accesses GA through your existing browser session. It inherits your login state-no API keys or credentials needed.


Build a Custom Dashboard

Let's start with what most people actually need: a clear view of what's happening on their site.

Claude Code
Go to my Google Analytics account at analytics.google.com. I need a dashboard that shows me: 1) Total users this month vs last month, 2) Top 5 traffic sources, 3) Top 10 pages by pageviews, 4) Conversion rate if I have goals set up. Export this data and create a simple HTML dashboard I can open locally.
Planning
I'll navigate to your Google Analytics account, extract the requested metrics, and build an HTML dashboard. Let me start by opening GA4 and locating your reports...
Asking Claude to create a dashboard from GA4

Claude will:

  1. Open Google Analytics in a new tab
  2. Navigate to the relevant reports
  3. Extract the data you requested
  4. Create an HTML file with a clean dashboard visualization
  5. Save it locally so you can open it anytime
Prompt

You want a quick executive dashboard from GA4

Go to analytics.google.com and create an executive summary dashboard for me. Include: total users (this month vs last month with % change), sessions, average session duration, bounce rate, top 5 acquisition channels, and top 10 landing pages. Make it a clean HTML file I can share with my team.

Pro Tip: Be Specific About Time Ranges

GA4 defaults to the last 28 days. If you want something different, say so:

Show me data for January 2026 specifically, compared to January 2025.

Automate Weekly Reports

Manually pulling reports every week is exactly the kind of work Claude Code eliminates.

Claude Code - Setting Up Weekly Reports
$I want to automate a weekly analytics report. Every Monday, pull from GA4: 1) Weekly users vs previous week, 2) Top traffic sources, 3) Conversion metrics. Save as a markdown file with the date in the filename.
I'll create a workflow for this. First, let me build the report template...
Created: weekly-ga-report-2026-01-20.md
To automate this weekly, I can set up a recurring task...

The Chrome extension supports scheduled tasks. You can tell Claude:

Set this report to run automatically every Monday at 9am.
Prompt

You want hands-off weekly analytics reports

Create a weekly analytics report workflow. Every Monday morning: 1) Open GA4, 2) Pull last week's data (users, sessions, top pages, traffic sources, goal completions), 3) Compare to the previous week, 4) Save as a markdown report in my ~/Reports/Analytics folder with the date. Set this to run automatically every Monday.

Ask Questions About Your Data

This is where it gets powerful. Instead of learning GA4's interface, just ask what you want to know.

Claude Code
Look at my Google Analytics. Which blog posts are driving the most conversions? I want to know if my content marketing is actually working.
Analyzing
I'll check your GA4 for page-level conversion data. Looking at the landing page report with conversion metrics...
Insight
Based on your GA4 data, here's what I found: Your top converting blog posts are 1) "Ultimate Guide to X" (4.2% conversion rate), 2) "How to Y" (3.8%), 3) "Why Z Matters" (3.1%). Interestingly, your highest traffic post ("10 Tips for...") has only a 0.9% conversion rate. You might want to add stronger CTAs there.
Natural language analytics questions

Questions you can ask:

  • "Which marketing channels are bringing in users who actually convert?"
  • "What's my mobile vs desktop traffic split, and which converts better?"
  • "Are my paid campaigns performing better than organic this month?"
  • "Which countries are my highest-value visitors coming from?"
  • "What time of day do I get the most engaged traffic?"
Prompt

You're trying to figure out what's working in your marketing

Analyze my Google Analytics data and tell me: 1) Which acquisition channels have the best conversion rates (not just traffic volume), 2) Which landing pages have high traffic but low conversions (opportunities to optimize), 3) Any concerning trends I should know about (traffic drops, bounce rate spikes). Give me actionable recommendations, not just data.

Extract Data for Other Tools

Sometimes you need raw data to feed into other tools-spreadsheets, BI tools, or reports. Once the file lands on your machine, Claude can analyze the CSV export or write the formulas in an Excel workbook for you, so the handoff doesn't end the analysis.

Claude Code - Data Extraction
$Go to GA4 and export the last 90 days of daily user and session data as a CSV file. I need it for a spreadsheet analysis.
Navigating to GA4 reports...
Setting date range to last 90 days...
Extracting daily metrics...
Saved: ga4-daily-metrics-90days.csv (90 rows)

Claude can export data in:

  • CSV for spreadsheets
  • JSON for developers
  • Markdown for documentation
  • HTML for standalone dashboards

GA4 makes period comparisons harder than they should be. Claude makes them trivial.

Prompt

You need to understand how this quarter compares to last quarter

Compare Q4 2025 to Q3 2025 in my Google Analytics. Show me: total users, sessions, conversion rate, top traffic sources, and top pages. Highlight anything that changed significantly (more than 20% up or down). Format as a comparison table.

Real-World Prompt Examples

Here are copy-paste prompts for common scenarios:

For Marketers

Go to my GA4 and analyze my marketing performance:
1. Which UTM campaigns drove the most traffic this month?
2. What's the conversion rate by channel (organic, paid, social, email)?
3. Which landing pages from paid ads are converting best?
Give me a summary I can include in my marketing report.

For Founders

I need a board-ready analytics summary from GA4:
- Month-over-month growth in users
- Key engagement metrics (session duration, pages per session)
- Conversion funnel performance if available
- Top 3 highlights and top 3 concerns
Format it professionally.

For Content Teams

Analyze my blog performance in GA4:
1. Top 10 blog posts by pageviews (last 30 days)
2. Average time on page for blog content
3. Which posts have the highest exit rates (people leaving)?
4. Which posts drive users to other pages on the site?
Help me understand what content is resonating.

For E-commerce

Pull e-commerce analytics from GA4:
1. Revenue this month vs last month
2. Top selling products or categories
3. Cart abandonment indicators
4. Traffic source performance by revenue (not just sessions)
Highlight any anomalies or opportunities.

Tips for Better Results

1. Be specific about what you want

Instead of: "Analyze my analytics"

Try: "Show me traffic sources for the last 30 days, sorted by conversion rate"

2. Tell Claude what decisions you're trying to make

I'm trying to decide whether to invest more in SEO or paid ads.
Show me which channel is driving better quality traffic (engagement + conversions).

3. Ask for comparisons

Trends matter more than snapshots. Ask for "vs last month" or "vs same period last year."

4. Request specific output formats

If you need a CSV, say so. If you want a visual dashboard, specify it. Claude defaults to text summaries unless you ask for something else.


Limitations to Know About

Claude can see what you can see. If you don't have access to certain GA4 properties or reports, neither does Claude.

It's not real-time streaming. Claude pulls data when you ask-it's not continuously monitoring your analytics.

Complex custom reports may need iteration. GA4's exploration reports are powerful but complex. You might need to refine your request a few times.

Review before acting on insights. Claude is very capable, but always sanity-check important business decisions against the actual GA interface.


What This Means for Your Work

Here's the mental shift:

You no longer need to learn Google Analytics. You need to know what questions to ask.

The interface, the navigation, the exports, the comparisons-Claude handles all of that. Your job is to know what matters to your business and ask for it.

That's a much smaller surface area to master.

Start with one question you've been avoiding because GA4 felt too complicated.

Ask Claude. See what happens.

Tip

Want to see 50+ other ways non-technical people are using Claude Code? Check out our guide: 50+ Mind-Blowing Things People Are Using Claude Code For.


Getting Started Today

  1. Install the Chrome extension - Get "Claude in Chrome" from the Web Store
  2. Start Claude Code with Chrome - Run claude --chrome in your terminal
  3. Log into GA4 - Make sure you're authenticated in Chrome
  4. Ask your first question - Start simple: "Show me my top traffic sources this month"

You don't need a data analyst. You don't need to learn GA4's interface. You don't need to wait.

You just need to ask.

Keep learning:


Get Started

How to Set Up Claude Code on Mac (15-Minute Guide)

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FAQ

Common questions

Yes. Claude Code with the Chrome extension can log into your Google Analytics account, navigate the interface, extract data, and build custom dashboards or reports-all from plain English instructions. No coding or technical skills required.

You need a Claude Pro subscription ($20/month), Claude Code installed, and the Claude in Chrome extension. The Chrome extension lets Claude Code interact with your browser, including sites you're already logged into like Google Analytics.

Claude Code accesses GA through your existing browser session-it doesn't store your credentials or export raw data to external servers. The Chrome extension runs locally and uses your browser's existing login state. Always review what Claude is doing before approving actions.

Claude Code gives you on-demand analytics capabilities without the cost or delay of hiring someone. You can ask questions, get dashboards, and iterate instantly. For ongoing strategic analytics work, an analyst may still add value-but for day-to-day reporting and quick insights, Claude Code handles it.

Yes. You can set up workflows where Claude Code pulls your GA data on a schedule, creates summary reports, and saves them to files or Google Sheets. The Chrome extension supports scheduled tasks that run daily, weekly, or monthly.

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