Join us for the next Adobe Analytics Community Q&A Coffee Break!
Wednesday, February 28 from 9am - 10am PDT
We'll be joined by Adobe Analytics Champions Mandy George (@Mandy_George314), Christel Guidon (@christel_guidon), Meghan Powers (@Meghan_Powers), and Achia Walton (@kayawalton). In this AMA (Ask Me Anything) event, our Champions will be logged in to chat with you in this thread, ready to answer any of your questions related to Adobe Analytics, including tips and session suggestions for Summit 2024, best practices to help with your projects, and advanced segments and metrics.
Participating is easy:
Meet the experts:
Mandy George (@Mandy_George314), a senior analyst at Best Buy Canada, is passionate about all things analytics. They are a 2x member of the Adobe Analytics Champions program and coordinator for the Adobe Analytics Champions Office Hours. They enjoy diving into the numbers and using calculated metrics to discover previously unknown insights. Mandy will be speaking at Summit as part of the Skill Exchange and Analytics Rockstars. Mandy's LinkedIn can be viewed here.
Christel Guidon (@christel_guidon) a 3x Analytics Champion,is a Digital Analytics Platform Manager for Gen Digital. Gen Digital encompasses several security software brands including Norton, LifeLock, Avast, AVG, Ccleaner, Avira and Reputation Defender. Christel has over 15 years of experience with Adobe Analytics, including architecture, administration, implementation and reporting. Christel's LinkedIn can be viewed here.
Meghan Powers (@Meghan_Powers) is an Adobe Certified Expert – Adobe Analytics Business Practitioner, a 2022 and 2023 Adobe Champion, and a web analytics data, implementation, and optimization specialist (over fifteen years’ experience successfully leading Abode Analytics and Target implementations). She leads the Digital Data Strategy team at CarMax, responsible for implementing all 1st and 3rd party tags across all digital properties, as well as ownership and governance of Adobe Analytics, Adobe Target, Adobe Launch, Adobe Web SDK, FullStory, ObservePoint, and Google Analytics. CarMax is the nation’s largest used car retailer, a FORTUNE 500 company, and has been named one of the FORTUNE “100 Best Companies to Work For” for 19 consecutive years. Prior to joining CarMax in 2015, Meghan was a Senior Web Analytics Manager at SiriusXM and holds a degree in Marketing, IT, and Hispanic Studies from the College of William and Mary. She also servers as a Program Advisor for the Shenandoah University Transformative Leadership program.
Very few things make Achaia Walton (@kayawalton) happier than solving a digital mystery, especially if it can be answered by data. As the director of analytics for Voice of America, she gets to do this every day with almost 50 newsrooms covering different target markets around the world. After earning her MBA from the University of Maryland, she answered the digital world's siren call, building up over 20 years of experience in online audience development and marketing. When she's not spending time with data and journalists, Achaia can be found in either a quiet corner reading or on the soccer pitch cheering for her daughter A.K.A. her favorite player of all time.
Curious about how Coffee Breaks work? Check out this event featuring Ben Gaines, Director of Product Management from April, 2023.
Really a valuable content. Thank you for sharing.
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Looking forward to this event as I will be a first time summit attendee!
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.
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:
Some of my tips:
Hello all! Welcome to our Coffee Break! Please use this thread to ask questions and our guests, Mandy George (@Mandy_George314), Christel Guidon (@christel_guidon), Meghan Powers (@Meghan_Powers), and Achia Walton (@kayawalton), will be answering them for you. Thank you all!
We're planning to A/B test a new journey (from point A to B) and I wanted to know if there was a way that I could split out the difference in the number of pages viewed for the new experience vs control experiences and then turn those in to an average.
For example, we're hoping our new journey will be much more streamlined and although customers may be able to complete the current journey, I want to try and show that we've made it easier in terms of customers viewing less pages to reach the journey end goal and or it's taken a lot less time. How would I be best to do this in Analytics. Thanks
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.
This could be a silly question, but how do you join?
You have joined! Feel free to post a question like this one, our experts are here!
Is it possible to use the 'edit user by csv' to update a username/email for a user (name change) and they will still have access to all their saved Workspaces since their "ID" won't be changing?
I need to do this for about 100 users, so does not seem prudent to get into the API documentation and figure out how to do it via API.
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.
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 everyone, i have a question on why my report suite still capturing previous Adobe Launch Build Date even if I have set my date today, example is February 27.
i have a more latest build date which is February 26, and wonder why the February 5 build date is still captured resulting to the unspecified value which I already fixed.
thank you
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)?
I am running an experiment and would like to understand how the beginning user journey may impact choices and time spent at the final point in the user journey.
Specifically, I would like to understand exit rates on the final page of the user journey, the average time spent on the final page, and also a fall-out view showing where my users go to after the final page.
In my scenario, I have 2 different starting pages, but they all lead to the same final page as the user goes through the flow.
I was wondering if the following logic would get me what I am after.
First, I create a fall-out with the specified journey I am interested in:
Journey 1:
custom_link = Experience_A --> custom_link = CTA_1 --> page_url = www.finalpage.com
Journey 2:
custom_link = Experience_B --> custom_link = CTA_1 --> page_url = www.finalpage.com
If I create two segments for these two journeys, and apply the metrics: Exit rate and Time Spent per Visit, will that give me the exit rate and time spent per visit for the final step of this flow? Or would the time spent per visit give me a cumulative time based on the entire flow?
Similarly, how would I get a flow view for the post-final page journey that each user makes? I am unable to drag my segment into any of the following fields:
Thanks!
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!
We have internal site where user can login using the customer ID.
Currently we are capturing the ECID and MCID in the analytics.
But when we are checking the unique visitor count for month the count which we are getting is more the actual total customer count.
(I know that UV metric count the visitors separately if user uses different browsers and devices. due to this the UV which we are getting is more than actual count.)
If we want to identify the visitor uniquely across the browsers and devices together then what would be the suggested approach ?
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.
Event starts:
Feb 28, 2024 - 09:00 AM (PST)
Event ends:
Feb 28, 2024 - 10:00 AM (PST)