Churn Prevention
Know which customers are likely to churn and why. Use all available information about your customers—not just the obvious signals—to determine who’s likely to churn so you can take preventative action and avoid attrition.

Know which customers are likely to churn and why. Use all available information about your customers—not just the obvious signals—to determine who’s likely to churn so you can take preventative action and avoid attrition.
Customer churn is a killer for any business. It keeps acquisition costs high, complicates long-term planning, and often means that the expense of signing a customer was higher than their investment in your product.
即使你盈利在顾客离开, you lose additional cross-sell, upsell, and referral revenue. And for every customer who complains, provides critical feedback, or warns that they’re planning to leave before doing it, there are several who close their accounts or stop buying without notice.
Warning signs can be incredibly difficult to detect when manually sorting through a sea of customer records. RapidMiner can change that—and help you take action.
Read more about the causes ofcustomer churnhere.
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Use our churn modeling template to get started quickly in the RapidMiner platform. This template lets you optimize and evaluate a decision tree model.
Load a customer dataset with all available information about customers, not just the obvious warning signs. Examples include: age, technology used, length of time a customer, average bill, number of support calls, and whether they’ve left in the past.
Edit, transform, learn (ETL) and prepare data. Mark the target label column (i.e. the churn indicator) and convert the numerical churn column to binary.
Model validation is key! This cross-validation splits the dataset for training and then for independent testing. This splitting is done several times to get a better performance estimate.
Know which customers are likely to churn and why, and turn prediction into prevention. Request a free AI Assessment to determine the feasibility and business impact of the your high-priority use cases.
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