Adobe Analytics

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...

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

Thank you! This is wonderful!

Last year was the first time I got to attend in person. It can be very overwhelming, there's so much to do. My top tips are:

• plan your schedule now, sessions fill up fast (labs even more so). Make sure you are able to book the sessions that interest you
• do the labs. A lot of them already have waiting lists, but if there are some still open that interest you, do it! Most of the sessions are posted online a couple weeks after Summit, but the labs are not. That was my biggest regret from last year that I didn't do any labs.
• make time to go to the community pavilion. It's a great place to make connections with other people/companies. There's a lot of booths for Adobe customer support teams and for the adobe analytics champions. (I'll be there for a bit, come by and ask us your questions in person!)
• wear comfortable shoes. There are multiple floors (there are escalators), but it is still a lot of walking!

Some of my tips:

• I second the labs vs. sessions if that works in your schedule.  Hands on training is always great.
• I would also make a list of any sessions you want to attend but can't attend in person and watch the recording later.  But make the list now so you don't forget after Summit!  Watch them later while exercising or folding laundry!
• I usually make a spreadsheet of all the sessions I want to attend.  Then during each session, I make a new tab for that session to take notes in, and create a hyperlink from the Main sessions tab to that individual session's tab w/ notes.  In each individual tab, I color-code by "things I want to try when I get back from Summit" and "things I want to pass onto someone else that I think is relevant for them".  
• I also make notes in the main Sessions tab of any session recordings I think it will be helpful for others to watch who weren't there
• Leave extra room in your suitcase for all the swag you'll bring home from the community pavilion.  Bring a tote bag to the community pavilion for all the swag you'll get.
• Pick up some LiquidIV for the mornings. The bash is a great time! 
• Bring a portable/wireless charger so you can charge on the go if needed.  There will always be a crowd around the outlets at the wall.
• Wear clothes you are comfortable attending sessions in as well as attending some of the evening events in.    There isn't always time to go back and change and it can be a long walk back to your hotel room from the conference area.  For ladies, I suggest layering a nice top with a blazer.  Jeans are fine!
• Second the comfortable shoes - it is a lot of walking!
• Schedule a meeting with your Adobe reps if you get a chance
• Swing by the Champion booth at community pavilion
• Sit with people you don't know at lunch and enjoy the chance to talk to people who are as passionate as you are about Adobe - you don't often come across them in regular day to day interactions so it's really nice and you learn a lot from them
• Recommend a backpack for ease of carrying stuff
• Have your lanyard/ID at all times - you'll need it to get into everything
• Do fill out the surveys at the end of each session - helps improve and you get a chance to win stuff

@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

In addition to @christel_guidon's suggestion, if you do not have Adobe Target, I would create two sequential segments to represent the journeys and drop those as rows in a freeform table to compare to the key performance metrics for your analysis (which in your case looks like visit depth and maybe a calculated metrics for the goal completion.

For additional analysis, I would apply these segments to a fallout visualization to see where customers tend to abandon the journey so you can optimize the new journey even further.

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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.