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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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On today’s episode of Data Fuel, we explore how SMBs can use data to predict and prevent customer churn. Learn how to identify churn signals, build a churn prediction model, and implement insights into your daily operations. By proactively managing customer retention, your business can reduce churn, improve loyalty, and increase revenue.
Main Topics:
• Why customer churn prediction is the easiest entry point for data science.
• How churn indicators differ by industry.
• Step-by-step guide to building a churn prediction model.
• How to tag customers and personalize retention strategies.
• Avoiding common pitfalls in churn prediction.
10 episodes
