AI ROAS Optimizer & Fatigue Detector
A financial modeling engine that connects ad spend to influencer creative tags, detecting fatigue before it kills ROI and automatically reallocating budget to winning formats.
Impact Summary
The Problem
Performance marketers fly blind when running hundreds of influencer creatives. Native ad managers show *which* ad won, but not *why* (e.g., was it the 'Confidence' theme or the 'Testimonial' format?).
This automation merges hard financial data (Spend/Revenue) with qualitative creative tags. It runs a custom time-decay model to predict creative fatigue days in advance and outputs a mathematically optimized budget reallocation plan to maximize ROAS.
Weekly
Budget audit cycle
14+ data points
Analyzed per creative
How the workflow runs end to end
From raw data to booked meetings in 4 autonomous steps
Data Fusion
Pulls live ad performance data via API and merges it with a manual 'Creative Tags' sheet to map financial results to specific themes, formats, and influencers.
Fatigue Scoring
Applies a custom JavaScript decay model that penalizes creatives based on days running, declining CTR, and drop in video completion rates.
Budget Optimization
A logic engine calculates the ideal budget distribution, cutting spend on 'Fatigue' or 'Low Grade' ads and reallocating funds to high-ROAS 'Scale' candidates.
Strategic Reporting
Generates a multi-tab Google Sheet report: 'Fatigue Alerts', 'Budget Reallocation Plan', and a Claude-authored qualitative analysis of *why* certain ads are winning.
Before vs After
The Old Way
- Manually checking ads manager daily
- Reacting only after ROAS crashes
- Guessing which creative themes work
- Budget wasted on fatigued ads
The Automated Way
- Proactive fatigue alerts (Red/Yellow/Green)
- Mathematically optimized budget splits
- Granular theme & format ROI analysis
- Automated weekly strategy reports
Under the
hood
Built with modern, scalable low-code tools and enterprise-grade APIs to ensure reliability and speed.