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Version: 3.15

new_paths_attribution

ChannelAttribution Pro lets you to train a Markov or Shapley model and then use it to perform attribution on new customer journeys. So it is easy and fast to make transaction-level attribution in a real-time context.

Parameters

PARAMETERTYPEDEFAULTDESCRIPTION
Datadata.frame/strdata.frame or a file address where customer journeys are stored
var_pathstrname of the column containing paths
var_convstrname of the column containing total conversions
DparamsstrNonename of the column containing total paths that do not lead to conversion
var_valuestrNonename of the column containing total conversion value
row_sepstr","if Data is a file address then row _sep is the line separator
cha_sepstr">"separator between channels
file_outputstrNonefile address where path attribution will be written
flg_write_nullsboolTrueIf True then non converting paths will be returned in path attribution output
flg_write_pathsboolFalseIf True then paths will be returned in the path attribution output

Output

OUTPUTTYPEDESCRIPTION
attributiondata.framepath-level attribution