Case Study: Decathlon Sports India achieves unified app & web media transparency and automated campaign budgeting with Windsor.ai

Windsor.ai provides Decathlon Sports India transparency on media performance for web and app transactions

Decathlon Sports India, part of global sporting goods retailer Decathlon, needed to move beyond last‑click attribution to understand how online marketing across search, display, social and programmatic channels influenced purchases across web and app. They also needed consistent channel groupings to reconcile spending, analytics and offline revenue data. To tackle this, Decathlon engaged Windsor.ai to provide ETL/data‑warehousing, data modelling, connector services and visualization support.

Windsor.ai implemented connectors to ingest media, web and app analytics and offline revenue, algorithmically modelled attribution to credit each touchpoint, applied custom channel groupings, and surfaced insights in Google Data Studio. The solution automated reporting (saving dozens of hours weekly), created a single app+web view for better decision making, improved and automated channel and campaign budget allocation, and enabled ROI measurement down to keyword level — with next steps to measure channel‑level cost per acquisition.

Decathlon

Jaikumar Rajavelu

Digital Marketing Manager