ParetoNBDModel.distribution_new_customer_dropout#

ParetoNBDModel.distribution_new_customer_dropout(data=None, *, random_seed=None)[source]#

Sample from the Gamma distribution representing dropout times for new customers.

This is the duration of time a new customer is active before churning, or dropping out.

Parameters:
  • data (pd.DataFrame, optional) –

    DataFrame containing the following columns:
    • customer_id: unique customer identifier

    • covariates: Purchase and dropout covariate columns if original model had any.

    If not provided, the method will use the fit dataset.

  • random_seed (RandomState, optional) – Random state to use for sampling.

Returns:

Dataset containing the posterior samples for the population-level dropout rate.

Return type:

xr.Dataset