Case Study: a large U.S. publisher boosts revenue by 40% with Mather Economics

Large U.S Publisher - Customer Case Study

Mather Economics worked with Large U.S Publisher, a large U.S. publisher with worldwide influence, to increase audience revenue without raising customer churn. The publisher had regular annual price increases and wanted a better understanding of price elasticity across its customer base to improve future yield.

Mather Economics used a test-and-learn approach with econometric modeling and A/B testing to estimate customer-level price elasticity, select target and control groups, and monitor results over time. The analysis showed that elasticity varied significantly by segment, with tenure, digital engagement, and product mix among the strongest predictors, and the A/B test validated the model. By applying these insights to annual pricing, Mather Economics helped improve yield by 40%, or about $8 million per year.