Maximizing Revenue with Smarter Segmentation & Attribution

Maximizing Revenue with Smarter Segmentation & Attribution
Solution Campaign Analytics Pipelines
Solution Campaign Analytics Pipelines
Industry Retail
Region US
Technology GCP
Context
The client, a leading home improvement retailer with a vast network of stores and a growing digital presence, aimed to unlock business value through a data-driven transformation. With massive volumes of customer, sales, and campaign data generated across multiple channels, the client faced challenges in deriving timely, actionable insights. Their goal was to leverage data to improve marketing effectiveness, enhance customer segmentation, optimize revenue, and drive better collaboration across internal teams, retail partners, and brands—ultimately enabling faster, more informed business decisions. 
Problem Statement

MathCo partnered with the client to build scalable, end-to-end data pipelines on Google Cloud Platform (GCP) to drive actionable business insights:

  • Optimized revenue and marketing impact through precise attribution and smarter customer segmentation.
  • Accelerated campaign measurement, enabling faster insights, agile optimizations, and higher conversion rates.
  • Enabled seamless collaboration between business teams, retailers, and brands via actionable GCP insights, reducing time-to-value and boosting ROI.

Impact

  • 50% improvement in data quality through reducing inconsistencies across workstreams.
  • 60% reduction in pipeline runtime through parallelization and incremental processing.
  • The granular level data was not required for the dashboard view, so the data was aggregated to reduce the report size to around 85% to save on storage costs. 
  • Enhanced retargeting effectiveness by mapping third-party data to known user profiles, improving visitor identification accuracy from ~30% to ~50+%, enabling more personalized and data-driven re-engagement strategies.

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