Proactive Customer Retention

Flag at-risk customers 60-90 days before they leave, reducing churn by 25-35% within six months.

Data-Driven Insights

Analyzing engagement patterns to calculate churn risk scores and identify early warning signals.

Implementation Made Easy

Deploy in four simple steps, segment customers into risk tiers, and trigger differentiated retention campaigns.

About this playbook

Are you losing customers and revenue due to churn? Learn how predictive churn modeling can save your at-risk customers before it's too late. Our course offers a step-by-step implementation framework, proven results, and no data science expertise required. Enroll now to unlock the power of predictive analytics and transform your customer retention strategy.

Course Curriculum

6 Chapters · 11 Lessons

  1. 1

    Introduction to Predictive Churn Modeling

    1. (Included in full purchase)

      The Power of Predictive Modeling

    2. (Included in full purchase)

      Predictive Churn Modeling

  2. 2

    Chapter 1

    1. (Included in full purchase)

      The Churn Crisis & Predictive Solution

  3. 3

    Chapter 2

    1. (Included in full purchase)

      Building Your Churn Model

  4. 4

    Chapter 3

    1. (Included in full purchase)

      Risk Segmentation & Campaign Triggers

  5. 5

    Chapter 4

    1. (Included in full purchase)

      Implementation & Measuring Success

  6. 6

    Resources

    1. (Included in full purchase)

      Predictive Churn Model Setup Checklist

    2. (Included in full purchase)

      Targeted Retention Campaign Framework

    3. (Included in full purchase)

      Customer Engagement Health Scorecard

    4. (Included in full purchase)

      Churn Reduction ROI Calculator

    5. (Included in full purchase)

      AI-Driven Churn Prevention Workflow

Ready to Save Your Customers?

Enroll now to access the course, implement predictive churn modeling, and see immediate results in your business.

Enroll Now