Webinar: Intro to Propensity Modeling: Fueling Predictive Success with First-Party Data

In this recently recorded session with data scientist Jason Qin, we explore how to harness the potential of propensity modeling, a powerful technique that predicts the likelihood of a customer taking specific actions, such as making a purchase or churning.

We’ll uncover the basics and demonstrate how your team can leverage first-party data to build highly accurate models, optimize marketing efforts and drive growth.

This webinar recording covers how to:

• Build a Strong Foundation: Learn the fundamentals of propensity modeling and how to identify and collect the right first-party data.
• Create Predictive Models: Discover how to unify data sources and build effective propensity models to understand your customers better.
• Activate Model Insights: Explore strategies to transform model predictions into targeted marketing campaigns and measure their impact.
• + answers to questions that were included on our Q&A.

This webinar is perfect for marketing, customer analytics and data science professionals looking to improve campaign targeting and ROI, gain deeper customer insights and leverage data for better business outcomes. Don't miss this opportunity to gain a competitive edge.