rt_get_cohorted_conversion_rates: shows conversion rates (y-axis) of a particular cohort based...

In shane-kercheval/rtools: Package providing R tools and wrappers

shows conversion rates (y-axis) of a particular cohort based on various 'snapshots' in time (a line is a snapshot in time).

Description

Each record in the cohort must have had enough time to convert, in order to be shown in the graph. For example, say the snapshots we are interested in are at day 1 and day 7. If the cohort refers to February, and it is March 3rd, every record in the February cohort has had at least 1 day of "activity" or potential to convert, so we can include Feb for that snapshot. However, not everyone in Feb has had 7 days of activity, so we cannot yet include Feb for the 7 day snapshot, because people who joined the cohort on Feb 28, for example, have not had a full 7 days of potential activity.

Usage

rt_get_cohorted_conversion_rates(
  dataset,
  first_date,
  second_date,
  reference_date,
  group_variable = NULL,
  snapshots = c(1, 7, 14),
  snapshot_units = "days",
  date_floor = "month"
)

Arguments

dataset	dataframe
first_date	the reference date (e.g. first-touch point)
second_date	the date of conversion, NA if not converted
reference_date	we need to know how old the cohort is so we can determine if the
group_variable	a variable to group/facet by. If 'color_or_facet' will be ignored
snapshots	the numeric snapshots
snapshot_units	the units of the snapshots e.g. 'hours', 'days', 'weeks'
date_floor	how we should define the cohort group e.g. by 'day', 'by week', by 'months'

shane-kercheval/rtools documentation built on July 7, 2022, 8:31 a.m.