Enhancements in the CLTV Model

The CLTV model now considers parameters which deal with handling of missing values in the historical time series data. Maximum allowable number of missing values in the historical time series, number of consecutive time-periods with a missing values and   minimum number of months of historical data to be considered for a account to be eligible for forecasting have been parameterized as input.

Business Benefit:

The new CLTV model parameters provide more control over the Lifetime Value model, greatly enhancing customer experience and model usability.

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