Predicting Customer Lifetime Value: Using Historic Behavior to Plan and Provide Prescriptive Recommendations to Better Meet Future Needs | Event Recaps | All MKC Content | ANA

Predicting Customer Lifetime Value: Using Historic Behavior to Plan and Provide Prescriptive Recommendations to Better Meet Future Needs

Richard Lusk, senior director of data science at Inspire Brands, discussed how predictive analytics can be used to determine customer lifetime value (CLV) and also outlined how CLV is valuable when making the case for marketing spend.