Case Study: US Fashion Retail Outlet Company achieves 20% better campaign targeting and near real-time insights with Happiest Minds

Online marketing analytics Insight generation for top fashion Retail outlet in the US

Happiest Minds partnered with a leading US fashion retailer to improve online marketing analytics. The retailer's challenges were delivering highly targeted, customizable campaigns, identifying cross-sell and up-sell opportunities, and enabling near real-time decision-making across large volumes of transactional and clickstream data.

Happiest Minds implemented an open-source big-data pipeline—Scala-based real-time processing, Pig/Hive ingestion, Hortonworks Hadoop storage, and Mahout/Spark ML hybrid collaborative filtering—powering a recommendation engine that feeds email campaigns and on-site views. The solution produced ~20% better campaign targeting, ~5% more cross-/up-sell opportunities and a 3–4% increase in sales, while enabling near real-time decisions.