Turn Claude into Your Marketing Analyst in 30 Minutes with MCP

Want to supercharge your marketing analytics? In this guide, we’ll walk you through how to turn Claude into your personal marketing analyst using the Model Context Protocol (MCP).
You can watch the video and original tweet here on BoringMarketer or Mike's Mp4 download here
With this setup, you can:
- Access your data instantly
- Get insights and build dashboards at AI speed
- Find patterns, grow, and impress your team or clients
All of this can be done in under 30 minutes! Let’s dive into the process.
Claude’s Marketing Dashboard Example
Here’s a glimpse of what Claude can do with your Google Analytics 4 (GA4) data. The dashboard below was generated by Claude, showcasing key metrics in a visually appealing format:
BoringMarketing GA4 Dashboard
Data Period: January 2024 - April 2025
Total Users
112,496
Total website visitors
Total Page Views
194,317
Total pages viewed
Avg. Session Duration
2:06
Average time on site
Monthly Traffic: [Graph showing traffic trends from January 2024 to April 2025]
Claude’s Analysis:
- LinkedIn traffic shows the highest bounce rate (77.4%)
- gregisenberg.com referrals have the highest engagement rate
- Twitter traffic from both domains (t.co and twitter.com) drives 16,500 users
This breakdown shows a diversified traffic portfolio across direct, search, social, and referral channels.
Step-by-Step Guide to Set Up Claude as Your Marketing Analyst
Here’s how you can set up Claude to analyze your GA4 data and generate dashboards like the one above. Follow these steps to get started:
Step 1: Set Up GA4 API Access
- Go to the Google Cloud Console.
- Create a new project.
- Enable the Google Analytics Data API.
- Set up OAuth 2.0 client ID & API Services Connections.
- Add redirect URI:
https://localhost/oauth2callback
. - Copy Client ID and Secret for later use.
Step 2: Connect GA4 in Your Environment
You’ll need to connect GA4 to your environment (e.g., Node.js) to fetch data via HTTP requests.
- Credentials: Click “New” → Search “OAuth2 API.”
- Fill In:
- Auth URI:
https://accounts.google.com/o/oauth2/auth
- Access Token URI:
https://oauth2.googleapis.com/token
- Client ID: [Your GA4 Client ID]
- Scope:
https://www.googleapis.com/auth/analytics.readonly
- Auth URI:
- Use in an HTTP REQUEST node for fetching GA4 data.
Step 3: Install and Configure MCP Server
- Install or select an MCP server trigger.
- Change the path (e.g., select GA4 tool, adjust APIs).
- Authentication: Ensure the OAuth token is set up correctly.
Step 4: Configure Claude
- Go to Claude → Developer → Enable MCP server.
- Link the GA4 MCP server to Claude.
- Test the connection with a small data pull (e.g., total users).
Step 5: Fetch and Analyze Data with Claude
Use HTTP requests to pull GA4 data and let Claude analyze it. Here’s an example JSON body for an HTTP request:
{ "dateRanges": [ { "startDate": "2024-01-01", "endDate": "2025-04-30" } ], "metrics": [ { "name": "totalUsers" }, { "name": "userEngagementDuration" } ], "dimensions": [ { "name": "month" } ] }
Chat with Claude to visualize the data into dashboards and uncover actionable insights.
Why Use Claude with MCP for Marketing Analytics?
- Access Data Instantly: Connect GA4 to Claude via MCP to fetch data like total users, page views, and bounce rates in real-time.
- Get Insights & Build Dashboards at AI Speed: Claude can generate dashboards with summary statistics, traffic trends, top pages, and traffic sources.
- Find Patterns, Grow, Wow Your Team/Clients: Claude’s analysis helps uncover actionable patterns, such as high bounce rates or top engagement sources.
Conclusion
Turning Claude into your marketing analyst with MCP is a game-changer for marketers. In just 30 minutes, you can set up a system that delivers instant data access, AI-speed insights, and actionable patterns to help your business grow. Try it out and let us know how it works for you!