Our Proactive Churn Prevention solution utilizes advanced predictive machine learning models developed, trained and deployed using AWS Sagemaker to identify customers at high risk of leaving your company or canceling a subscription based on their behavior. By predicting churn before it occurs, businesses can proactively take retention actions to retain customers. This solution segments customers according to their churn propensity (high, medium, and low risk), identifies key churn indicators, and provides actionable insights to enhance BI reports and dashboards developed using AWS Quicksight, ultimately improving the understanding and management of customer churn behavior.

Our Solution: Predictive Analytics and Targeted Retention

Churn Prediction: Utilize machine learning models to predict customers at high risk of churn based on behavioral data.

Customer Segmentation: Segment customers into high, mid, and low-risk categories to tailor retention strategies.

Churn Profiling: Identify churners profiles by analyzing key indicators and features from existing data.

Insight Generation: Provide key indicators to enhance BI reports and dashboards, improving the understanding of churn behavior. Best in the art Quicksight dashboards on demand.

Targeted Retention Actions: Develop and implement targeted re-engagement or retention campaigns for high-risk customers.

Deliverables

Churn Prediction Models: Customized predictive models designed to identify high-risk customers

Customer Segmentation Reports: Detailed reports categorizing customers based on churn propensity.

Churn Profiles: Comprehensive profiles of churners, highlighting key behavioral indicators.

Enhanced BI Dashboards: Improved BI reports and dashboards featuring essential churn indicators.

Retention Campaign Strategies: Strategic plans for targeted retention and re-engagement campaigns.