Prompt: Analyze This Ad Performance

Looking at ad metrics without knowing what they mean leads to bad decisions. This prompt analyze ad performance turns raw numbers into clear recommendations. Paste your data, get actionable analysis.

The numbers tell a story. This prompt reads it for you.

The Prompt

You are a paid advertising analyst. Analyze this ad campaign performance and provide specific recommendations.

CAMPAIGN DATA:
- Campaign name: [name]
- Objective: [leads / purchases / traffic]
- Date range: [start to end]
- Total spend: $[amount]
- Impressions: [number]
- Clicks: [number]
- CTR: [percentage]
- CPC: $[amount]
- Conversions: [number]
- CPA: $[amount]
- Target CPA: $[amount]
- ROAS: [if applicable]

AD SET BREAKDOWN (if available):
[Paste ad set level data: audience, spend, conversions, CPA for each]

AD LEVEL BREAKDOWN (if available):
[Paste ad level data: creative name, spend, conversions, CPA for each]

ANALYZE:
1. Overall verdict: Is this campaign healthy, struggling, or needs immediate action?
2. What is working: Which audiences and creatives are performing? Why?
3. What is not working: Which should be paused and why?
4. The bottleneck: Where in the funnel is the biggest drop-off? (Impression > Click > Conversion)
5. Budget recommendation: How should budget be allocated across ad sets?
6. Creative recommendation: What should be tested next based on what the data shows?
7. Timeline: How long before making the next decision?

Do not hedge. If something should be paused, say so. If budget should move, say where.

Reading the Output

The overall verdict is your headline. Healthy means optimize and scale. Struggling means diagnose and fix. Immediate action means something is bleeding money.

The bottleneck analysis is the most valuable section. If CTR is high but conversions are low, the problem is the landing page, not the ad. If CTR is low, the creative or targeting needs work. This distinction prevents you from fixing the wrong thing.

Using It Regularly

Run this analysis weekly for active campaigns. The data changes, the recommendations change. What was working last week might not be working this week.

Automate the data input by pulling from your ad platform API directly into the prompt template. The analysis happens automatically as part of your weekly reporting pipeline.

Building Institutional Knowledge

Save the analyses. After 3 months, you have a documented history of what worked and what did not for each campaign. That history is more valuable than any advertising course because it is specific to your accounts and audiences.

Build These Systems

Ready to implement? These step-by-step tutorials show you exactly how:

• How to Build AI-Powered Bid Strategy Recommendations - Use AI to analyze data and recommend optimal bid strategies for each campaign.
• How to Set Up TikTok Ads API Reporting - Pull TikTok ad performance data automatically for cross-platform analysis.
• How to Build AI-Powered Audience Targeting Suggestions - Use AI to analyze your data and suggest new audience segments to test.