You should be able to find the z-score: (treatment rate - control rate)
/ standard deviation of population There is an SD function there. Then
you create a calculated metric with the Cdf-z function: 1 -
Cdf-z(z-score) that should give you the cumulative probability (i.e.
Confidence value) that you're looking for.
We can use data collected within Adobe Analytics to show a data driven
view of how customers move around our site, whether in the Flow
workspace visualisation or after we extract the data.I'd like this
ACTUAL view of behaviour to be overlayed onto a visual sitemap of our
site, generated from our robots.txt file possibly, to show the
difference between the actual and (possibly) intended view. This could
highlight areas where the navigation of the site needs to be updated or
redesigned. It would b...
We use Medallia and use Launch event listeners to pick up what's
happening. Annoyingly they can only pass integers as the values at the
mo so we can't see what categories and drop downs they've chosen, but we
can get the scores. Ensure if you're collecting satisfaction or NPS
scores that you use a counter metric for those and one for submitted
surveys, we originally did the scores as a dimension (which is always a
string), and it was a nightmare!
We use data feeds to send Post Processing events from our app and web
report suites through to S3 each hour, where we use that data to combine
with other streams. Unfortunately Data Feeds sends the data with the
timestamps from each hour collected, rather than the data collected
during that hour. This means that where we use offline data collection
in our apps, and the data is stored to be sent to Adobe later, the
hourly data feed doesn't pick this data up. This can result in our data
being up t...
Since this is an older post, I'm assuming you've solved this issue.
Incase others find this post, I'll post the link to the documentation