Could we have some guidance on how we could run Target Activity pre-prod test while using AAM onboarded segments. How can we setup a test browser that is a part of target segment population? For our on-site personalisation, we want to use AAM segments that use onboarded customer traits. Customer data is passed into AAM from CRM and other corporate data storages through a weekly onboarding. For example, a segment may include people who currently own a certain product. A Target Activity may use th...

Is there a reason why after a couple of weeks of running AT, experiences are served with ML audiences (green tick icons), and 'new' insights report popup already came up, and yet, there is no data in automated segments and important attributes reports? I tried different end dates for the last 15 day range report view refresh, but to no avail. Is this a bug? I also tried a differnet browser and connected from outside our work environment, but no difference. Can you help explain exactly how those ...

While creating analysis workspace dashboard for my first Auto Target activity reporting it became aparent that the Experience names as we define within AT test settings in Adobe Target do not show in A4T report (it only shows Expereince A, Experience B, etc. though that is now how the names are managed in Target and its reporting tab). Anything we can do to expose the activity name as dimension value? Any solution for replicating tables like these in tutorial (link below) that can show diemnsion...

It may be such a basic question but there has been a few different interpretation of this, so can you please help clarify. When we look at A/B test report generated through A4T panel, like the example on the documentation: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/panels/a4t-panel.html?lang=en#Output Lift (Mid point), -1.78% Confidence, 46.27% Or, are we supposed to read the Experience A (not control) rowLift: -12.98%Confidence: 74.82% Thank you for your help! ...

Auto-target / auto-personalisation experts! Can you please help!! We recently started running an AP on a brand website, where our visitors are not mostly not authenticated (anonymous). After 15 days of ML training period, we got a list of ML segments, but majority of segments were based on browser, user OS, screen size, etc. We do not believe those would have had impact on the way visitors responded or not responded to half a dozen offers we put in mix. Can you give me suggestions on how we can ...