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OPEN-SOURCE FRAMEWORK

ConversionOS

AI-Native Revenue Intelligence Framework

Production-tested ML pipeline patterns that generated 34K qualified leads from 2.3M prospects. Built by an enterprise architect who has deployed this across 5 industries.

Propensity Scoring

XGBoost in BigQuery ML scores every prospect on conversion likelihood. 50-200 features, daily refresh, automated retraining.

CDP Audience Taxonomy

200+ segment framework translating ML scores into actionable audiences across ActionIQ, Segment, and Treasure Data.

Google Ads Engine

4-tier conversion values ($1/$10/$50/$240) fed to Smart Bidding. 2.8x ROAS improvement over flat conversion signals.

Attribution Model

Shapley value multi-touch attribution across 7 channels. Replaces last-click with data-driven credit distribution.

Churn Prevention

30/60/90-day risk scores detect at-risk customers before traditional signals. 40% churn reduction in production.

Case Studies

Anonymized results from telecom, crypto, and financial services deployments with before/after metrics.

34K
ML-Generated Leads
200+
CDP Segments
5
Industries Deployed
2.8x
ROAS Improvement