Cross-Platform Ad Attribution Engine

A leading American D2C e-commerce brand was scaling rapidly but faced a critical attribution blind spot. They were spending millions across Google Ads, Meta (FB/IG), TikTok, LinkedIn, Snapchat, X (Twitter), and Pinterest, but their marketing team had no unified way to track cross-channel journeys.

Each ad platform claimed credit for the same conversion, leading to inflated ROAS numbers and approximately 30% misallocation of the monthly media budget. Data was siloed in different interfaces, making it impossible to perform effective channel-mix modeling or true customer lifetime value (CLV) analysis.

To continue scaling profitably, they needed a single source of truth: a custom-built attribution engine capable of deduplicating conversion data across all major ad networks.

BitFleche built a centralized AdTech operations platform that provides real-time marketing intelligence and automated budget optimization.

Key features of our engineering approach: - **Unified Marketing API Ingestion**: Developed a serverless data collection layer that integrates with 7 major advertising APIs. Ingested raw campaign, creative, and performance data into a high-throughput data warehouse. - **Probabilistic & Deterministic Matching**: Built an attribution engine that combines first-party cookies, email hashes, and behavioral patterns to map the full multi-touch customer journey. - **Real-Time ROAS Dashboard**: A high-performance analytics interface designed with Next.js and D3.js, giving the media buying team a unified view of spend and revenue across every platform down to the ad-group level. - **Automated Budget Reallocation**: Implemented a rule-based engine that identifies underperforming campaigns and alerts the marketing team, with a "one-click rebalance" feature that updates budgets across all platforms via the APIs.