yrs_calc: Calculate license buying

In southwick-associates/lifetime: Provide functions for lifetime pricing

Description

Functions to calculate retention for modelling with retain or renew methods. These should only be run after preparation using yrs_zero_split

Usage

yrs_calc_renew(history_split)

yrs_calc_renew_one(history_split, year0)

yrs_calc_retain(history_split, ...)

Arguments

history_split	license history list produced by yrs_zero_split()
year0	year for defining customers for whom retention will be calculated
...	optional grouping variables

Functions

• yrs_calc_renew: Calculate license buying - renewal

  Appends a new "renew" variable (1=yes, 0=no) based on whether customers from year zero held licenses in subsequent years. The customers from year0 will have one record for all subsequent years.

• yrs_calc_renew_one: Calculate license buying - renewal year0

  Identify renewal for selected year0. Intended to be run from yrs_calc_renew

• yrs_calc_retain: Calculate license buying - retention rate

  This essentially summarizes a customer's probability of renewing in future years.

See Also

Other functions to estimate annual license buying: yrs_avidity, yrs_calc_avg, yrs_fit, yrs_lifetime, yrs_plot, yrs_predict_avg, yrs_predict, yrs_result, yrs_zero

Examples

library(dplyr)
data(all_sports)
df_split <- yrs_zero_split(all_sports) %>%
   yrs_zero_filter(function(x) filter(x, age_year %in% 30:50))

yrs_calc_renew_one(df_split, 2008)
yrs_calc_renew(df_split)
yrs_calc_retain(df_split)

library(ggplot2)
retain <- yrs_calc_retain(df_split, year0)
ggplot(retain, aes(years_since, pct, color = year0, size = n0)) +
    geom_point() +
    ggtitle("We see some variation in retention curves depending on year zero",
            "more distant future years (years_since) have fewer observations")

southwick-associates/lifetime documentation built on Feb. 24, 2020, 9:33 a.m.