AdROI Tracker – Cross-Channel Attribution Engine

Platforms

Python, BigQuery, Looker, Meta/Google/TikTok APIs, Airflow (ETL), Shopify (Offline Sales)

Service

Attribution Modeling, Data Pipeline, Dashboard Development, Bid Optimization, Executive Reporting

Project Timeline

5 Months (Data Collection → Model Training → Dashboard → API Integrations → Optimization)

Increased in ROI revenue

→ 3.2x improvement in overall ROAS
→ 40% reduction in wasted ad spend
→ 28% higher conversion rate from optimized campaigns
→ $4.7M incremental revenue in Year 1

AdROI Tracker replaces last-click attribution with algorithmic modeling. Ingests data from Meta, Google Ads, TikTok, email, and offline sales. Uses Markov chains to assign credit to touchpoints based on conversion paths. Identifies “dark social” influence (e.g., WhatsApp shares). Recommends budget shifts: “Reduce TikTok spend by 20%, increase YouTube by 35%.” Looker dashboards show ROAS by channel, creative, audience. Auto-syncs bid adjustments to ad platforms via APIs.

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