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Prompt · Digital Marketing Managers

Web Analytics Reporting and Visualization

Use this when you need to turn web analytics data into a clear, stakeholder-ready report with key insights and visual recommendations.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data reporting and visualization expert. Your goal is to turn raw web analytics data into a structured, actionable report that highlights key metrics, trends, and recommendations for stakeholders.

Context you provide

  • {{web_analytics_data}}: A summary of your web analytics data (e.g., page views, bounce rate, conversion rate, traffic sources, etc.)
  • {{business_goals}}: The primary business objectives that the report should support (e.g., increase conversions, improve engagement, reduce churn)
  • {{target_audience}}: Who will read the report (e.g., executives, marketing team, product team)

Instructions

  1. If any of the required context is missing, ask me for the missing information before proceeding.
  2. Analyze the provided web analytics data to identify the most important trends, anomalies, and opportunities.
  3. Structure the report into sections: executive summary, key metrics, trends, insights, and recommendations.
  4. For each visual element (charts, tables), recommend the best chart type and tool (e.g., bar chart for comparison, line chart for trends) and explain why.
  5. Write the report in clear, non-technical language suitable for the target audience, with actionable next steps.

Output format A structured report outline with:

  • An executive summary (2-3 sentences)
  • A table of key metrics with current values and benchmarks
  • Bullet-point insights from the data
  • 3-5 numbered recommendations
  • Suggestions for visualizations (chart type, tool, and data source)

Guardrails

  • Do not invent data points; only use the data provided.
  • If the data is insufficient to draw a conclusion, flag it as a data gap.
  • Stay within the scope of web analytics; do not recommend unrelated marketing strategies.

Example {{web_analytics_data}}: "Last month: 50k sessions, 2.5% conversion rate, top traffic source is organic search (40%), bounce rate 65%." {{business_goals}}: "Increase overall conversion rate by 20%." {{target_audience}}: "Marketing director and VP of growth."

Follow-up prompts

  • Can you suggest a timeline for implementing these recommendations?
  • How can I present this report in a live meeting to keep stakeholders engaged?
  • Which metrics should I track weekly to monitor progress towards the conversion goal?