How Advanced Analytics Can Optimize Loyalty Program Results

To best understand your loyalty program members, keep the program relevant to them, and ensure you maximize the profitability of each interaction, it is essential to track and understand their behaviors. For a customer, their traceable behavior consists mostly of a single transaction. Loyalty programs tie together all of a member’s transactions and include information from their social networks, reviews, preferences, employee interactions, and other program engagement activities. This source of data is enticing to brands wanting to optimize their program performance, but one needs to have a strong analytics team and an ability to utilize advanced analytics to build behavioral segmentation and predictive models, such as look-alike models based on high value members.

This webinar explores how to utilize data provided from a loyalty program and turn it into comprehensible reports and advanced analytics that will help you better target new high value customers, personalize offers to existing members and increase their LTV, and continue to iterate upon your program structure to improve results.

Watch the on-demand webinar now by filling out the form at the bottom of the page.to the right. 

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