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Google Analytics Report Summary

Data Reporting Intermediate 🤖 ChatGPT 👁 4 views

📝 The Prompt

Help me analyze and summarize my Google Analytics data for a stakeholder report. I'll paste my GA4 data below. Please analyze and create: **Data:** [Paste your GA4 data — traffic numbers, top pages, user demographics, conversion data, etc.] Time period: [e.g., "March 2026 vs February 2026"] Business context: [what your website/app does] **Generate:** 1. **Executive Summary** (3-4 sentences a non-technical person can understand) 2. **Key Metrics Dashboard** (organized table): - Total sessions, users, new users - Bounce rate, session duration, pages per session - Conversion rate and revenue (if applicable) - Month-over-month changes with ↑↓ indicators 3. **Traffic Analysis**: - Top channels (organic, paid, social, direct, referral) - Channel performance trends 4. **Content Performance**: - Top 10 pages by views - Best performing content and why 5. **User Behavior Insights**: - Where users drop off - Most common user paths 6. **Actionable Recommendations** (5 specific things to do based on this data) 7. **Red Flags** — Anything concerning in the data Format for a slide presentation — bullet points, not paragraphs.

⚙️ Replace 3 placeholders: [Paste your GA4 data — traffic numbers, top pages, user demographics, conversion data, etc.] [e.g., "March 2026 vs February 2026"] [what your website/app does]

🎯 What this prompt does

This AI prompt helps you google analytics report summary. Designed for reporting workflows in the data category, it's a intermediate-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a intermediate prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 3 bracketed placeholders ([Paste your GA4 data — traffic numbers, top pages, user demographics, conversion data, etc.] [e.g., "March 2026 vs February 2026"] [what your website/app does] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([Paste your GA4 data — traffic numbers, top pages, user demographics, conversion data, etc.], [e.g., "March 2026 vs February 2026"], [what your website/app does]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other data prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable reporting output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

🔎 Find more prompts like this

Browse 56 more data prompts or search the full library.

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