Predict Customer Lifetime Value
You have customer records sitting in a CRM or ecommerce export, but no clear read on who is about to leave and who is worth chasing. This prompt turns that raw data into a customer lifetime value and churn forecast, modeling each customer across 6-month, 1-year, and 3-year horizons. You get back a structured report with five sections: a data analysis summary, predictive model results, value-based segmentation, churn risk factors, and recommendations, each backed by metrics and confidence intervals so you can reallocate marketing spend and trigger retention before customers walk.