Adobe Analytics Champions on Analytics Advanced Segments and Metrics

Perfect timing, @ashleighmo! Here are some tips that other Adobe Analytics Champions have shared with me since I am a first-time attendee this year, too: https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/getting-the-best-out-of-adobe-summit-tips-and-tricks-from-adobe/td-p/656384 

If you have any specific questions, please feel free to post them here.

@petero52240340 asks :

So I'm going to assume that you use A4T integration using Adobe Target.

You can split this by experience using the out of the box experience dimension for that

I would then suggest using a daily average calculated metric like so. You can use that as a metric for both experiences. This one is for visits, but you can just replace visits with page views at the top:

Not sure that's what you're looking for but hope it's helpful

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@valerie_anders asks

Please note that Adobe Client Care may be able to take care of this whole process for you. I know a very manual way of doing this, but they may have a better automated way of doing things now. 

• First off, I would download a master spreadsheet of all users to have as a security (export users list to csv option in admin console)
• I would definitely try a dummy account first or an account that has no assets (go to analytics > admin > analytics users and assets > select account > transfer assets & make sure there are no assets)
• Go to admin console and remove the account - this will remove them from the cloud but will not remove the actual account
• Go to analytics > admin > analytics users and assets > update email and username (this portion will now show blank) > save
• I would do these in batches of 10, max 20, once you know the process and get the hang of it
• Save a copy of the master user spreadsheet and select only those users in steps above: edit columns for username, domain, email – modify those accordingly
• reupload users from steps above back into admin console with spreadsheet from last step – ADD users by csv (upload) – standard template – upload
• These new users should have all their assets + be federated users. These users will not be able to login while you do this magic, so do few at a time (batches of 10 for example)
• Adobe IDs should not be affected in any way
• WARNING: if these users also have Target, do next steps for Target right after – user cannot login if analytics & target are not in sync
  • select target users in admin console and delete (same as for analytics above)
  • don’t worry about target classic, only adobe target (2). For each group within there (ex: default workspace) > export users list to csv, add a ‘product role’ column at the end and fill that out with what is in console
  • in that same csv file, change columns same as for analytics above – update emails
  • upload those users back in (no additional steps unlike in analytics)
  • manually change the product role for each (directly in admin console), with what was recorded in the excel file

Please check with Adobe Client Care first, try out with a dummy account first, and don't forget to save that master user spreadsheet! 

Note: deleting an account in Analytics (not admin console) is permanent - so be careful!

Hi @avocadolover20221,

There's a couple things I can think of that might be happening here. The first is that the build date could be caching, and the visit is picking up an old version.

The other thing is, if you're capturing this in an evar with a 'last touch' allocation, if someone comes to the site and does a hit where the build date doesn't fire, it would retain the last seen evar value. Is your build date being captured in a prop or an evar? And does it fire on every hit (page views and custom links)?

Hi @asdf12341z --

You would have to apply URLs and filter for www.finalpage.com as your data row and then apply the segments separately (either as a dropdown for the panel or as a column subset for the metrics. You can use Exit Rate, but I would create a calculated metric for Average Time on Page instead of Time Spent Per Visit. As you noted, Time Spent Per Visit will cover the entire session, while the calculated metric covers only that specific page. Here's how I have created the Average Time on Page metric for my org:

Hope that helps!

You could definitely do this offline using the customer ID (can export data via Data Warehouse and do it there).
If you wanted to also view it in Adobe Analytics UI, you can join the data offline, and then import data into Adobe Analytics using Data Sources, API, or import classification table.