Growth
Predictive Growth Engine
Algorithmic Ad Optimization
ROAS Increase
112%
CAC Reduction
28%
The Challenge
The startup was struggling to attribute ROI across Meta, Google, and LinkedIn, leading to a 30% waste in ad spend on underperforming segments.
The Solution
Built a custom attribution dashboard that pulls server-side event data from Segment and pushes optimized budget allocations back to ad APIs every 4 hours using a basic Bayesian model.
ROAS increased from 2.4x to 5.1x in 90 days
Customer Acquisition Cost (CAC) dropped by 28%
Automated budget shifting saved 15 hours of manual analysis per week
Technical Stack
PythonSegmentBigQueryLookerMeta/Google Ads APIs
Security Verification
SOC2 COMPLIANT ARCHITECTURE
EDGE-OPTIMIZED DEPLOYMENT
End of Blueprint_PREDICTIVE-GROWTH-ENGINE
View All Case StudiesReady to Put Your
Business on Autopilot?
If you’re serious about automation — not experimentation — start with a controlled setup. We’ll show you the system. You decide how far to take it.