From Periodic Measurement to Continuous Optimization with Always-On MMM

Solution Always-On MMM
Solution Always-On MMM
Industry CPG
Region Global
Technology Databricks
Context
Marketing leaders today face rapidly shifting consumer behavior, fragmented media ecosystems, and increasing pressure to optimize every advertising dollar. Traditional Marketing Mix Modeling (MMM) approaches, often refreshed quarterly or annually, struggle to keep pace with evolving market dynamics. A leading CPG manufacturer sought to modernize its measurement capabilities by transitioning to an Always-On MMM framework that could deliver continuous insights, faster decision-making, and greater responsiveness to changing market conditions.
Problem Statement

The client relied on a conventional MMM process that was constrained by inconsistent data quality, regional variations, and limited automation across markets. Existing models lacked the flexibility to support lower-granularity regions and required significant manual effort for data preparation and model refreshes. As a result, insights were often retrospective, limiting the organization’s ability to identify emerging opportunities and adjust media investments proactively. The business needed a scalable, automated solution capable of generating granular, market-specific recommendations while enabling more frequent measurement cycles.

Impact

  • 70% effort reduction in data preparation 
  • 90% improved insights adoption 
  • ~1.3% boost in revenue through spend adjustments  

 

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