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Forecasting models for customer churn, retention and LTV

96 views#2506
CategoryHandmade
Listing period11 daysuntil 23.11.2026
Posted25.08.2026
Views964 in 14 days

About the service

I turn raw customer data into forecasts you can rely on for decision-making. Send me orders, subscriptions, events, and support history — and I'll build models that assess who's about to leave, who'll stay, and how much each segment will bring over time. Work starts with honest data preparation: I clean the chaos, stitch identifiers, handle gaps and outliers, and engineer features that actually drive business outcomes, not vanity metrics. From there, I train and validate churn, retention, and lifetime value models, compare multiple approaches, and pick one that balances accuracy and explainability you can trust. You don't get a number in a notebook — you get cohort dashboards, calibrated probabilities, and ready-to-use segments for campaigns, ads, or customer care teams. You choose the delivery format: a clean REST-API with risk per customer, or regular reports and dashboards each morning. I document assumptions, set up drift monitoring, and retrain the model as your data grows. — Data prep, profile stitching, and feature engineering — Churn, retention, and LTV model training and validation — Cohort dashboards and production-ready segments — Deployment as API or regular reports with monitoring

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