
How to Predict Subscription Churn
Key elements of building a churn model from a business perspective based on real use case.
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Stop churn before it happens. Xebia’s Churn Prediction solutions help you identify at-risk customers and implement proactive retention strategies to enhance your customer engagement strategy. With advanced machine learning models built on behavioral insights and cross-functional data, we enable global organizations to minimize churn, reduce revenue loss, and boost customer loyalty and retention.
Customer churn poses a significant challenge for subscription-based businesses. Accurately predicting which customers are likely to leave enables companies to take proactive measures to retain them. Our approach involves defining churn tailored to your business context, conducting collaborative feature brainstorming sessions across departments, and engineering meaningful features from diverse data sources. By translating customer behaviors into quantifiable metrics, we build robust machine learning models that provide actionable insights. This empowers your team to implement targeted retention campaigns, ultimately reducing churn rates and increasing customer loyalty.
Our Expertise
Engage cross-functional teams to identify potential indicators of churn, encompassing customer behaviors, interactions, and external factors.
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Translate identified indicators into quantifiable features, ensuring data quality and avoiding leakage by using information available prior to the churn event.
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Deploy targeted campaigns based on model predictions, using A/B testing to assess effectiveness and gather feedback for continuous improvement.
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Identify and retain high-value customers before they leave, directly preserving recurring income.
Spot dissatisfaction early and personalize interventions, improving satisfaction and long-term engagement.
Target the right segments with relevant offers, improving ROI and team efficiency.
Use churn insights to inform product development, pricing strategies, and service improvements.
Our Ideas
Key elements of building a churn model from a business perspective based on real use case.
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