Churn Prediction

Leverage data-driven insights to anticipate customer behavior and maximize customer lifetime value.

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 Approach

Define Churn Specific to Your Business

Collaborate with stakeholders to establish a clear, data-driven definition of churn, considering business and technical exceptions.

1

Conduct Feature Brainstorming Workshops

Engage cross-functional teams to identify potential indicators of churn, encompassing customer behaviors, interactions, and external factors.

2

Engineer Relevant Features

Translate identified indicators into quantifiable features, ensuring data quality and avoiding leakage by using information available prior to the churn event.

3

Develop and Validate Predictive Models

Utilize machine learning algorithms like LightGBM, employing tools such as Optuna for hyperparameter tuning, and validate models using out-of-time samples.

4

Implement and Monitor Retention Campaigns

Deploy targeted campaigns based on model predictions, using A/B testing to assess effectiveness and gather feedback for continuous improvement.

5

Key Benefits

Protect Revenue Streams

Identify and retain high-value customers before they leave, directly preserving recurring income.

Improve Customer Experience

Spot dissatisfaction early and personalize interventions, improving satisfaction and long-term engagement.

Optimize Marketing and Retention Efforts

Target the right segments with relevant offers, improving ROI and team efficiency.

Strengthen Strategic Planning

Use churn insights to inform product development, pricing strategies, and service improvements.


Contact

Let’s discuss how we can support your journey.