groceryElog: Event log for customers of an online grocery store.

In mplatzer/BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base

Event log for customers of an online grocery store.

Description

These data came from an online retailer offering a broad range of grocery categories. The original data set spans four years, but lacked the customers' acquisition date. Therefore, we constructed a quasi cohort by limiting the provided data analysis to those customers who haven't purchased at all in the first two years, and had their first purchase in the first quarter of 2006. This resulted in 10483 transactions being recorded for 1525 customers during a period of two years (2006-2007).

Usage

groceryElog

Format

A data frame with 10483 rows and 2 variables:

cust

customer ID, factor vector

date

transaction date, Date vector

Source

Thomas Reutterer <[e-mail]>

References

Platzer, M., & Reutterer, T. (2016). Ticking away the moments: Timing regularity helps to better predict customer activity. Marketing Science, 35(5), 779-799. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1287/mksc.2015.0963")}

mplatzer/BTYDplus documentation built on April 9, 2024, 3:11 a.m.