How do you launch a loyalty program in a saturated market during one of the worst years for grocery sales in decades…and rocket to success? A top Canadian grocer’s loyalty program uses sophisticated analytics to identify—from 380 billion+ possible combinations—the handful of offers that will be most relevant to each customer that week. As a result, more than 40% of grocery sales now come from loyalty members, who make more trips and buy bigger baskets than nonmembers. This white paper looks at how the retailer: Knows when and what customers will buy Predicts individual demand elasticity to point thresholds in offers Optimizes offer sets for best customer-company outcomes Learns what causes customers to buy
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