Data-driven customer engagement: Retain valuable customers and grow your business with predictive analytics

Available On Demand

Today’s savvy consumers have unprecedented choice and control. They can decide when, how or even if they want to interact with your company—and if you can’t meet their needs, they’ll go to your competitor. But what if you could spot customers at risk of churn before they defect, and act quickly to retain their business? Or identify which customers would be receptive to an upsell/cross-sell offer? Predictive analytics helps you take advantage of big data to understand customer preferences and behavior, so you can create interactions that increase loyalty, satisfaction and lifetime value.

Join us for a 30-minute webinar to learn how predictive analytics can help you improve customer retention and recurring revenue. You’ll hear real-world examples of how leading organizations are mining their customer data to:
  • Identify the best prospects for highly targeted marketing programs.
  • Improve sales forecasting and accelerate sales cycles.
  • Predict which customers are at risk of leaving and why.
  • Maximize customer lifetime value through personalized offers.
  • Deliver customer insights to front-line decision-makers and systems.


Mark Grabau
Chief Data Scientist, IBM North America Financial Services Sector

Luciane Ellis
Portfolio Marketing Manager, IBM SPSS Predictive Analytics

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