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Journey length distribution

Source: R/path-diagnostics.R
path_lengths.Rd

Journey length distribution

Usage

path_lengths(paths)

Arguments

paths

An mm_paths object from build_paths().

Value

A data frame with one row per journey length: length, journeys, converting, and conversion_rate. The conversion rate by length is worth looking at before choosing a credit rule: if it is flat, extra touchpoints are recording exposure rather than driving it.

See also

path_diagnostics()

Examples

data(mm_events)
paths <- build_paths(mm_events, id = "customer_id", channel = "channel",
                     timestamp = "timestamp", conversion = "conversion")
path_lengths(paths)
#>   length journeys converting conversion_rate
#> 1      1     1085        492       0.4534562
#> 2      2     1778        792       0.4454443
#> 3      3     1516        682       0.4498681
#> 4      4     1034        456       0.4410058
#> 5      5      464        192       0.4137931
#> 6      6      187         89       0.4759358
#> 7      7       50         24       0.4800000
#> 8      8       18         11       0.6111111
#> 9      9        5          3       0.6000000