Episode 4: Predictive Modeling with Peter Fader
Welcome to the Zinfluencer series, presented by Zinrelo, an API-first enterprise-grade SaaS-based holistic loyalty platform. In this episode, host Max Savransky, Zinrelo’s Head of Loyalty Strategy, delves into an insightful conversation with Peter Fader, a renowned professor at the Wharton School of the University of Pennsylvania.
Here’s what we cover:
- Reliability of Predictive Models in Marketing: Explore the effectiveness of well-constructed predictive models and the importance of using the right methodologies to avoid unreliable results.
- Phases of Utilizing Predictive Analytics: Understand the foundational steps of predictive analytics, focusing on current data before anticipating future customer needs and wants.
- Best Practices for Implementing Predictive Models in Loyalty Programs: Discover the importance of simplicity and accuracy in predictive models, ensuring they are robust and effective for long-term forecasting.
- Behavioral Segmentation for Effective Marketing Campaigns: Learn the significance of starting with behavioral segmentation and incorporating additional demographics and psychographics later for a comprehensive understanding.
- Challenges and Opportunities in Predictive Modeling for Customer Retention: Identify the balance between complexity and simplicity in models, the technical challenges of data integration, and the importance of internal education for stakeholders.
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