Case Study: Loyalty Program Marketing Group achieves targeted response modeling and higher ROI with Angoss

How a Top Canadian Loyalty Program used Analytics to Save on Costs and Increase Profitability

One of Canada's premier loyalty programs, representing more than 150 brands across 70+ partners in financial, retail and travel sectors, faced the challenge of segmenting rapidly growing consumer responses to promotions. With extensive data and a 14‑person analytics team, the marketing group needed a predictive analytics tool focused on robust modeling and data exploration—particularly strong Decision Tree capabilities.

They selected Angoss KnowledgeSEEKER for its superior Decision Tree interface, ease of use and value, and applied a two‑tiered approach to response modeling and segmentation. Decision Trees are used across acquisition and retention data to predict first transactions and reward redemptions, enabling targeted campaigns that have streamlined marketing, reduced costs and increased profitability for the loyalty program and its partners.