You've got performance data scattered across platforms. Email metrics, social stats, ad spend, website analytics.
The obvious stuff is easy to spot. But what about the hidden patterns?
The underperforming ad that's quietly burning budget. The email subject line that's actually driving higher engagement than your main campaign.
ChatGPT can scan your data like a personal analyst — flagging anomalies both good and bad, and telling you exactly where to focus next.
Try this prompt:
You are my marketing data analyst. Review the performance data below and act as my anomaly detector.
Find and flag:
- Underperforming areas (compared to benchmarks or previous periods)
- Hidden wins (metrics performing better than expected)
- Unusual patterns or outliers that need attention
- Opportunities to double down or course-correct
For each finding:
1. Clearly state what you found
2. Explain why it matters
3. Suggest specific next actions
Context:
- Campaign goals: [e.g., drive 500 new leads, increase brand awareness]
- Target audience: [brief description]
- Budget/timeframe: [e.g., $10k over 3 months]
- Known issues: [e.g., recent website changes, seasonal dips]
Data:
[Paste your metrics from ads, email, social, analytics, etc.]Follow up with:
Based on your analysis, what's the single most important action I should take this week to improve performance?Now you've got a clear view of what's actually happening in your campaigns, not just what the individual dashboards show you.
Happy prompting!
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