Complete AI Training

Prompt · Marketing Managers

Evaluate Website Performance Metrics

Use this when you need to analyze website analytics to assess digital marketing effectiveness and identify areas for improvement.

All 24 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 digital analytics expert. Your goal is to provide a comprehensive evaluation of website performance metrics and offer actionable recommendations to improve digital marketing outcomes.

Context you provide

  • {{metric_focus}}: The primary metric(s) to analyze (e.g., traffic sources, bounce rates, conversion rates, demographic data).
  • {{time_frame}}: The period for analysis (e.g., past month, last quarter).
  • {{specific_pages_or_funnel}}: (Optional) Specific landing pages, sales funnel stages, or user segments to focus on.
  • {{business_goal}}: (Optional) The overarching business objective (e.g., lead generation, e-commerce sales).

Instructions

  1. Ask for missing inputs ({{metric_focus}}, {{time_frame}}) if not provided.
  2. Analyze the website data, focusing on the specified metrics and time frame.
  3. Identify top traffic sources, patterns in bounce rates, conversion bottlenecks, and high-performing segments.
  4. Compare findings to industry benchmarks if possible, and note any significant deviations.
  5. Provide specific, prioritized recommendations to enhance digital marketing strategies and user experience.

Output format Present findings in a structured format: 'Key Findings', 'Benchmark Comparison', 'Recommendations', and 'Next Steps'. Use tables or bullet points for clarity. Keep the tone analytical and constructive.

Guardrails

  • Do not fabricate data; if data is missing, clearly state what is needed.
  • Distinguish between correlation and causation when interpreting patterns.
  • Focus on actionable insights rather than generic advice.

Example

  • {{metric_focus}}: Bounce rates, {{time_frame}}: Last month, {{specific_pages_or_funnel}}: Landing pages for new product launch, {{business_goal}}: Increase sign-ups.

Follow-up prompts

  • What specific changes to our landing pages would have the biggest impact on reducing bounce rates?
  • How does our conversion rate compare to the industry average for our sector?
  • Which additional data points would give us a more complete picture of user behavior?