Using customer interactions to predict churn and save your most valuable customers
Annuitized revenue streams have become highly valued by investors, which has increased the proliferation of subscription models across industries. Direct-to-consumer brands for shaving supplies, prepared meals, streaming media services, at-home fitness, and even auto insurance have started in the past few years. Consumers are flocking to these new offerings while moving away from long-term contracts, which for subscription-based businesses means they have to prove their value to their customers every month. From source of acquisition to devices used to frequency and type of interaction, which customer events signal an increased likelihood to churn versus renew in the near future? How do you decide the proper investment to save an at-risk subscriber?
Join subject matter experts in this virtual workshop to learn how unified data analytics can bring data science, business analytics and engineering together to increase the precision in churn and customer lifetime value models across industries like retail, media, telco, insurance, retail financial services, and other. This virtual workshop will give you the opportunity to learn about:
- Using Survival Analysis to understand when and possibly why customers abandon subscription services
- Predicting customer churn at key stages in the subscription lifecycle
We will use Zoom for a virtual meeting environment. Your Zoom link will be sent to you upon registration.
We look forward to engaging with you on July 28th at 1:00pm EDT.