how to change the code to pass the conversion_value from the dataset? about marketing-attribution-models HOT 6 CLOSED

Hi, @SreenidhiKalyan!
You can use the "conversion_value" parameter.
It's set 1 by default, but also receive a string indicating the column name on the dataset containing the conversion values.

from marketing-attribution-models.

attributions = MAM ( df,
group_channels = True ,
channels_colname = "act" ,
journey_with_conv_colname = 'has_converted' ,
group_channels_by_id_list = [ 'phone' ],
group_timestamp_colname = 'date' ,
conversion_value='Previous',
create_journey_id_based_on_conversion = True)

I'm passing string Previous which is a column name from my dataframe indicating the conversion value. The datatype of conversion_value is float.
On executing attributions.DataFrame(), the conversion value is displayed as 0.0
Exact conversion value is not appearing in the column conversion_value

from marketing-attribution-models.

Hi @SreenidhiKalyan, thanks for the informations.

With your contribution we were able to find the bug that was causing the problem and fix it. The parameter group_channels = True wasn't aggregating the conversion_value properly.

We've updated a new version on Pypl. Could you try again after updating the package?

Thanks!

from marketing-attribution-models.

Hi @SreenidhiKalyan, did you have the chance to try this new version? Can we close this issue?

from marketing-attribution-models.

from marketing-attribution-models.

Thanks @SreenidhiKalyan. Don't hesitate to report in any issue.

from marketing-attribution-models.