Case Study: MarketShare achieves real-time predictive and prescriptive marketing at petabyte scale with H2O.ai

MarketShare Enhances Its Marketing Analytics Services Using H2O

MarketShare, a leading marketing analytics provider, faced the challenge of delivering accurate cross-channel attribution, revenue optimization, and forecasting across massive, fragmented marketing data sets so CMOs and analysts could move from slow, spreadsheet-based insights to fast, actionable decisions. To solve this, MarketShare built its DecisionCloud platform and turned to H2O.ai, using H2O’s scalable in-memory machine learning platform to power real-time predictive models.

H2O.ai’s solution—integrated with MarketShare’s Hive, Spark and SQL pipelines—enabled automated daily data and model refreshes across 120+ data sources and 10+ TBs (and petabytes-scale marketing data overall), turning predictive insights into prescriptive actions. The result: model runtimes that H2O.ai’s team cites as roughly 10x faster than alternatives, real-time decision support for enterprise customers, and a shift from measurement to automated prediction and recommendation that improved campaign planning and budget optimization.

MarketShare

Satya Ramachandran

SVP & Managing Director