Unlike “Buy ‘Til You Die” models, Retina’s CLV model can predict customer lifetime value at or before a prospect’s first transaction. To do this, we first collect all available customer data, including estimates of RFM signals (AOV, survival rate, time between purchases). Next, our model denoises and imputes missing data. Finally, we simulate expected behavior at the customer-level using cleaner RFM signals.
To learn more about how our model works, check out our CLV Framework Whitepaper.