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On-Demand Webinar

Combating Customer Churn with AI

Customer churn affects companies across industry, size, and geography. Retaining your existing customers is just as important (if not more so) than attracting and acquiring brand new customers. According to Harvard Business Review, the cost to acquire a new customer is anywhere from five to 25 times more expensive than retaining an existing one. Businesses today can use the power of AI to help determine which customers are more likely to churn, and what actions to take to keep them. Armed with this knowledge, retention efforts can be prioritized to focus on the most at risk customers.

In this webinar, Colin Priest, Data Scientist and Senior Director of Product Marketing at DataRobot will address specific use cases for applying AI to ensure customers remain loyal.

Attendees will learn:

  • How businesses can react and create effective customer churn strategies
  • How Automated Machine Learning predicts which customers are most likely to defect
  • How to use AI to optimize customer experience so that customers don't even consider defecting
  • How DataRobot can help you to determine which customers are valuable and worth keeping


Colin Priest
Colin Priest

VP, AI Strategy, DataRobot

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.