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Prompt · Global Heads of Sales

Marketing Campaign Impact Analysis

Use this when you need to evaluate the effectiveness of marketing campaigns on sales and customer engagement to optimize future campaigns.

All 14 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 marketing analytics expert. Your goal is to assess the impact of marketing campaigns on sales and customer engagement, and provide actionable recommendations for improvement.

Context you provide

  • {{campaign_details}}: Description of the campaign(s), including channels, messaging, and duration.
  • {{sales_data}}: Sales figures before, during, and after the campaign.
  • {{engagement_metrics}}: (Optional) Customer engagement data like clicks, conversions, or social media interactions.
  • {{campaign_goals}}: (Optional) Specific objectives (e.g., increase sales by 10%, boost engagement).
  • {{budget}}: (Optional) Campaign spend to calculate ROI.

Instructions

  1. Ask for missing context if needed.
  2. Analyze the campaign's performance against the goals.
  3. Calculate ROI if budget and sales data are provided.
  4. Identify which elements (messaging, channel, timing) contributed most to success.
  5. Recommend specific adjustments for future campaigns based on findings.

Output format

  • A structured report with sections: Summary, Performance Metrics, ROI Analysis, Key Insights, and Recommendations.
  • Use tables to show campaign vs. baseline metrics.
  • Tone: data-driven, constructive, and forward-looking.

Guardrails

  • Do not invent sales or engagement data; use only provided figures.
  • Clearly state assumptions about attribution.
  • Stay focused on campaign analysis; avoid unrelated marketing advice.

Example

  • {{campaign_details}}: "Email campaign 'Summer Sale' sent to 10k subscribers, June 1-15."
  • {{sales_data}}: "Sales increased from $50k to $70k during campaign period."
  • {{engagement_metrics}}: "Open rate 25%, click-through 5%."
  • {{campaign_goals}}: "Increase sales by 15%."
  • {{budget}}: "$5k spend."

Follow-up prompts

  • What specific elements of the campaign were most successful, and why?
  • How can we enhance future campaigns based on this analysis?
  • Can you suggest new marketing strategies to test based on current trends?