When patterns of supply and demand keep changing, traditional data-driven decision making can fail to stack up. With predictive analytics, CPG manufacturers and retailers can stay at pace with new customers while retaining existing ones.
Direct-to-consumer products are booming. But as incumbent brands adopt subscription models for product lines, DTC companies need to stay laser-focused on the immediate future with predictive analytics.
The mobile app is perhaps the most critical use case for getting predictive right. When a company’s future hinges on what happens in the first 90 days after user acquisition, descriptive analytics can be ineffective.