Journey table summary

The construction accounting for an mm_paths object: how many events went in, how many journeys came out, and how many conversions were lost to filtering along the way.

Usage

path_summary(paths)

Arguments

paths

An mm_paths object from build_paths().

Value

A one-row data frame with the columns

events_in, events_out

Rows supplied, and rows retained.

journeys, converting_journeys

Journeys built, and how many ended in a conversion that can still be credited.

mean_length, median_length, max_length

Journey length in touchpoints.

direct_events

Events whose channel matched direct_labels.

conversion_events

Conversion events in the input. This exceeds conversions_observed when several conversions fall inside one journey, which happens under split_on = "none" or "gap".

conversions_observed

Journeys that contained a conversion.

conversions_unattributable

Converting journeys that lost every touchpoint to a direct-traffic rule, and so cannot be credited to any channel. That number should be reported, not absorbed.

On a subset of a journey table the construction counts no longer apply, and the columns describing the input are NA rather than the parent's values.

See also

build_paths(), path_diagnostics()

Examples

data(mm_events)
paths <- build_paths(mm_events, id = "customer_id", channel = "channel",
                     timestamp = "timestamp", conversion = "conversion")
path_summary(paths)
#>   events_in events_out journeys converting_journeys mean_length median_length
#> 1     20799      17306     6137                2741    2.819945             3
#>   max_length direct_events conversion_events conversions_observed
#> 1          9          1597              2741                 2741
#>   conversions_unattributable
#> 1                          0