SAFE Marketing teams spend too much time exporting CSVs and rebuilding the same tables in spreadsheets. With a Google Analytics MCP server connected to your AI assistant, you can skip the export loop entirely and go straight to the answer.
Here are five prompts that cover the most common marketing analysis tasks.
1. Weekly channel performance summary
Prompt: “Show me sessions, users, conversion rate, and revenue for the last 7 days vs the previous 7 days, broken down by default channel group. Highlight channels with the biggest positive and negative swings.”
Why it works: This gives you the weekly narrative in one pass. The comparison window catches momentum shifts before they become problems.
2. Landing page conversion audit
Prompt: “List the top 30 landing pages by sessions over the last 30 days. For each page show engagement rate and conversion rate. Flag the 5 pages with the most sessions but weakest conversion rate.”
Why it works: High traffic, low conversion pages are the fastest wins in most CRO backlogs. This prompt builds that queue without any manual sorting.
3. Paid campaign efficiency check
Prompt: “For the last 30 days, show all active campaigns with their sessions, cost, conversions, and cost-per-conversion. Sort by cost-per-conversion descending and flag campaigns exceeding twice the account average.”
Why it works: Catches budget waste in under a minute. You can run this every Monday morning before approving spend.
4. Organic search landing page diagnosis
Prompt: “For the last 8 weeks, show organic search landing pages with week-over-week session trend and conversion rate. Identify pages where traffic is growing but conversion rate is declining.”
Why it works: Growing traffic on a weakening page is a silent revenue leak. This prompt finds it before the quarterly review.
5. Device and audience segment split
Prompt: “Break down sessions, engagement rate, and conversion rate by device category for the last 14 days. Then run the same split for new vs returning users. Summarize where the biggest experience gaps are.”
Why it works: Device and user-type segments expose optimization priorities that aggregate metrics hide.
Running these prompts
All five prompts work with the Safe MCP server connected inside ChatGPT or Claude. Connect your Google Analytics account once, then run these on any property you have access to.
The MCP server handles authentication and data retrieval. Your AI assistant handles the interpretation and summary.
Query your Google Analytics with AI
Connect Safe MCP to ChatGPT or Claude and start analyzing your GA4 data using plain language.