Use it when you want to begin campaign analytics work without writing the first draft from scratch.
Campaign Performance Report AI Prompt
Generate a comprehensive campaign performance report for {{campaign_name}}. Campaign data: {{campaign_data}} Goal: {{campaign_goal}} (awareness, lead generation, conversion, ret... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Generate a comprehensive campaign performance report for {{campaign_name}}.
Campaign data: {{campaign_data}}
Goal: {{campaign_goal}} (awareness, lead generation, conversion, retention)
Time period: {{period}}
1. Performance summary:
- Total spend: {{spend}}
- Total impressions, clicks, conversions
- Key derived metrics:
- Click-through rate (CTR): Clicks / Impressions
- Cost per click (CPC): Spend / Clicks
- Conversion rate: Conversions / Clicks
- Cost per acquisition (CPA): Spend / Conversions
- Return on ad spend (ROAS): Revenue / Spend
2. Performance vs benchmarks:
- Compare each metric to: campaign target, prior campaign, industry benchmark
- Flag any metric more than 20% above or below benchmark
3. Channel breakdown:
- Performance by channel (paid search, paid social, display, email, etc.)
- Which channel delivered the lowest CPA? The highest ROAS?
- Channel mix: what % of spend and conversions came from each channel?
4. Creative performance:
- Top 3 and bottom 3 creative assets by CTR and conversion rate
- What characteristics do the top performers share? (Format, message, visual style)
- Recommend pausing the bottom performers
5. Audience performance:
- Performance by audience segment (demographics, interests, remarketing vs prospecting)
- Which audience delivered the best conversion rate and CPA?
6. Time performance:
- Performance by day of week and hour of day
- Are there peak and trough periods that suggest dayparting optimization?
7. Recommendations:
- Top 3 optimization actions ranked by expected impact
- Budget reallocation suggestion: which channels should get more / less?
Return: performance summary table, channel breakdown, creative analysis, audience insights, and top recommendations.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Campaign Analytics or the wider Marketing Analyst library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as Performance summary:, Total spend: {{spend}}, Total impressions, clicks, conversions. The final answer should stay clear, actionable, and easy to review inside a campaign analytics workflow for marketing analyst work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Campaign Analytics.
Frequently asked questions
What does the Campaign Performance Report prompt do?+
It gives you a structured campaign analytics starting point for marketing analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for marketing analyst workflows and marked as beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Campaign Performance Report is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are A/B Test Analysis for Campaigns, Campaign ROI Analysis, Demand Generation Funnel Analysis.