Hi all,
I'm currently working on an adoption dataset in which Company X introduces an additional service Y to its portfolio.
The sample runs from January to August of the same year (so 8 months of data) and the additional service Y is introduced in April.
Naturally, every customer adopts at a unique given time between April and August and those that do not adopt within the timeperiod are given an adoptiondate which equals the end of the sample period (censoring).
Now, imagine the following, if I want to know the Average Session Duration prior to the adoption date, I would ideally like to have this average from the start of the sample until the adoption date. On the other hand, I would also like to see the Average Session Duration post-adoption, which would run from the adoption date to the end of the sample. In this case I would only want these averages for anyone who adopts before July so there's at least 2 months used in building this average. These averages would be different for every customer in the dataset, but how do I obtain such averages relative to the adoption date?
I'm very interested in hearing your thoughts.
Kind Regards,
Wesley Klabbers