ShiftedBetaGeoModel.expected_residual_lifetime

ShiftedBetaGeoModel.expected_residual_lifetime(data=None, *, discount_rate=0.0)

Compute expected residual lifetime of each customer.

This is the expected number of periods a customer will remain active after the current time period, subject to a discount rate for net present value (NPV) calculations. It is recommended to set a discount rate > 0 to avoid infinite lifetime estimates.

Adaptado de la ecuación (6) en [1].

Parameters:

discount_ratefloat

Tasa de descuento a aplicar para las estimaciones del valor presente neto.

dataDataFrame

Optional dataframe containing the following columns: * customer_id: Unique customer identifier * T: Number of time periods customer has been active * cohort: Customer cohort label * Covariate columns specified in dropout_covariate_cols (if using covariates)

References

[1]

Fader, P. S., & Hardie, B. G. (2010). «Customer-Base Valuation in a Contractual Setting: The Perils of Ignoring Heterogeneity». Marketing Science, 29(1), 85-93. https://faculty.wharton.upenn.edu/wp-content/uploads/2012/04/Fader_hardie_contractual_mksc_10.pdf