I feel like with the information and tools we have available, this
should be an easy ask. We've come a long way since the early 2000's of
having to pull data warehouses for answers, yet, I can't find a solid
methodology to answer this outside of a data warehouse pull which is
massive in size. We have visit number dimension, loyalty dimensions,
retention dimensions, and then the obvious orders metric, but when I
pull all this information into excel and try to find a weighted average,
it just does...
I got it! Maybe because I logged into analytics and went right to
components to create the new segment...?But I went to a report and then
created the segment and it seems to work! Thank you for your help.
Dear Gigazelle,Love the logic, however, I can't even save this as a
segment. My 90 day sample box also yields 0. I tried adding it into
containers, taking it out of containers, etc. but no luck. Any thoughts
as to why? Thanks!
That just gives intervals between sessions and it's at the visit level.
I want to see by day; if you used the app one day in January, 2 days in
February, and then another day in August. I don't care how many times
within that day you've launched or used the app. Just trying to get
overall usage over time at at the visitor level. Does that make sense?
Here is the use case:People launch an app numerous times within a day
but they may not use the app every day.I want to look at people that use
the app for 5 or more days within a quarter and classify them as my
"loyal" app users.Now, I don't have the people metric implemented so I
will settle for unique visitors.But is there a way to classify time as 5
or more days within a segment?All of my "day" dimensions ask for a
specific date...Any thoughts or suggestions around this? I'm all