creative-health

Solid

Assess ad creative fatigue. Use when: ads underperform, need refresh timing, or creative lifecycle review.

AI & Automation 636 stars 110 forks Updated 1 weeks ago MIT

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Skill Content

# /digital-marketing-pro:creative-health ## Purpose Monitor creative health across all active advertising. Score each creative for fatigue risk, predict when fatigue will impact performance, generate refresh recommendations with specific change suggestions, and create A/B test plans for fatiguing creatives. Creative fatigue is one of the fastest ways to waste ad spend — a high-performing ad that ran too long silently bleeds money as CTR drops, CPM rises, and engagement fades. This command catches fatigue before it costs you, tells you exactly what to change, and gives you a structured test plan to validate the refresh. It covers the full creative lifecycle from launch through maturity to decline, so you always know which creatives are earning their spend and which need attention. ## Input Required The user must provide (or will be prompted for): - **Active creatives with performance data**: A list of currently running creatives, each with: creative ID or name, channel (paid social, display, search, email, video), current performance metrics (impressions served, frequency or average times shown per user, current CTR, current CPM or CPC, current engagement rate), baseline metrics from the creative's first 7-14 days (baseline CTR, baseline CPM, baseline engagement rate), days running since launch, audience size the creative is serving, and current daily or weekly spend. Can be provided as exported data or pulled from connected ad platform MCPs - **Channel context**: Which a...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
5 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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