Adobe Analytics

Originally airing on May 28, 2025, our experts discussed the transformative world of content analytics, powered by Adobe's cutting-edge AI technology. Content Analytics revolutionizes the way you measure, understand, and optimize content performance.  You can view the replay from the episode page and find additional recourse commented on during the live event: Content Analytics - Optimize performance with AI insights Use this thread to ask our experts additional questions related to the Experience League LIVE session. Thanks and we hope to hear from you!

We've noticed an issue in Adobe Analytics where a single campaign tracking code is being attributed to multiple last touch channels (e.g., some users end up in "Direct," others in "Display") when looking at "entries" metrics. It is bit strange because tracking codes should only be attributed to paid channels. Could this be an issue with our processing rule or something else (maybe issue with entries?)? For context, there were no major changes to our processing rule.

  Introduction When working with Customer Journey Analytics (CJA), encountering "No Value" entries in reports and dashboards prompts important questions about data quality, collection methods, and reporting accuracy. These instances need careful monitoring as they may reveal hidden gaps in data collection. The main challenge lies in distinguishing between two scenarios: when "No Value" entries need investigation by data source providers, and when they simply reflect the natural flow of data into CJA. Understanding this distinction is crucial for maintaining efficient analytics operations. This guide will help you make informed decisions about "No Value" appearances in your CJA implementation. Understanding "No Value" in CJA "No Value" appears in CJA reports when a dimension has no corresponding metric value during the reporting period, regardless of the report type.  Seeing "No Value" in your reports isn't always a sign of an error or data collection issue. It's often an e

Hi all, I am trying to find a way to calculate the number of (specific) hits until a specific page in a visit, so basically something like the Adobe Metric 'Average Page Depth' but for hits. I found the presentation from Audrey Salerno from one of the Adobe Summits on sequential segmentation and excluding the 'after sequence' hit. I wanted to use this for counting the hits before my target page, but before I built it with page views to check whether the result will be the same as with the metric 'average page depth'. I understand the native Adobe metric counts including the target page and this workaround with the sequential segments excludes the target page. So I expected a slight difference. Unfortunately it is quite big. I used Audrey's approach with Visit instead of Visitor, because I only want to see the number of pages within a visit. I also added the segment 'Entry page = homepage' as I wanted to count the number of pages to the target page starting from the

Hi folks,We recently migrated our app's Adobe Analytics implementation from the legacy Adobe Mobile SDK to the newer Adobe Experience Platform (AEP) SDK.During testing, we observed a significant change in how visitor IDs are tracked. Previously, visitor identity was maintained using the AID (Analytics ID), whereas the AEP SDK now uses the MID (ECID).This has introduced a challenge in app update scenarios:Existing users have an AID from the previous SDK.After updating to the new version of the app, they are assigned a new MID.In the first call after the update, both the old AID and the new MID are passed together. (In some case we do observe that the AID is passed in all hits along with the MID)However, when analyzing the data for the test session, it appears that these are being counted as two separate unique visitors, resulting in a discrepancy in the unique visitor count for returning users. I came across Adobe documentation that explains how a similar issue is managed on the we

Hello, We are trying to get iPhone model and generation details for example 'Apple iPhone Pro Max 15.' Reports now show above 97% of devices bucketed as 'Apple iPhone' and the rest do have the 'Apple iPhone Pro Max 15' level of detail but 0.2% per row listing a device. Is this something which will only work if 'Use device to lookup for the following information' is checked and user agent disabled? any extra steps on mapping? Also looks like Adobe relies on DeviceAtlas, is this something that is already included in Adobe Analytics or a subscription needs to be bought separately?   Thanks, R

We have implemented Adobe Analytics in my organization and we are currently in the process of rolling it out across the business and using it as our source of record for all things Analytics. One issue that has been raised though is that our overall traffic in Adobe Analytics is much higher than what we see in Google Analytics. We have found that the discrepancy is being driven mainly from our mobile application traffic, and solely within the Android operating system. While I understand that the collection methods differ slightly and there will always be a difference amongst platforms, I am trying to understand why that difference is SO large for the Android platform I took a look at a day's worth of data for Monday 7/31/23. For iOS mobile app traffic only -- I see users (unique visitors in adobe) and sessions (visits in adobe) are well within our tolerable delta with Adobe +3% and +5% on unique visitors & visits respectively:DatePlatform OS Unique Visitors (Users)&n

Hi Community, Context: We created adobe alerts and have found them to be useful. We want to know if the landing page the "Analyze Further"  button takes the user to can be customized.  Additionally, can we update the alerts in a way a custom workspace is linked on the alerts notification.  Question: When stakeholders click on  

 Can anyone help me understand this:  Entry pages that are segmented to contain: utm medium, but does not contain utm medium.     

Hello Experts, We recommended to client that "AMCV", "Demdex" & "EVEREST" should be categorized as "Analytics/Performance cookies". However client kept arguing with us, that Onetrust categorized the same cookies under "Advertising"/"Targeting cookies"  We see that issue with behavior of cookies getting dropped when user blocks or unblocks consent for "Advertising" cookies In Other words, we need to prove to client with a documentation from Adobe showing that we need categorize these 3 cookies as Performance cookies*Note: We are using the Visitor ID opt-in service API Thanks in Advance. 

Hi All I need your help on the following: There are 2 different ways to complete the same form: 1ST way:  Page A URL (Click button A within page A) -> Form 1 Cover Page (Page B URL) -> Form 1 (Page C URL) -> Form 1 acknowledgement page (Page D URL). 2nd way: Page Z URL (Click button Z within page Z) -> Form 1 Cover Page (Page B URL) -> Form 1 (Page C URL) -> Form 1 acknowledgement page (Page D URL). Due to Adobe Analytics implementation constraints, I cannot build the fallout chart in sequential page URL order as this returns no data. Therefore, I need to structure the fallout chart in the following way:Page URL = Page A URLEventual pathPage URL = Form acknowledgement page (Page D URL) There are 3 scenarios that a visitor could go via:1st scenario: Complete form 1 via 1st way and 2nd way2nd scenario: Complete form 1 via 1st way but not 2nd way3rd scenario: Complete form 1 via 2nd way but not 1st way I want to obtain the no. of visito

Hello all. Logged in/off Status QuestioneVar expires at hit, so it doesn't matter the allocation (first, linear, last) and has to be set on each hit page load or web action. Wondering of the implications to set either logged off or logged on every hit, comparing e.g. not having the value even present or populated in the data layer prior login, whats best for segmenting and overall usage? I'm trying to visualize how it would be:Visitor arrives to site, set to 'logged off' default status in the data layer when landing on the page.Visitor authenticates, value changes to 'logged in'Visitor x's out and comes back after 40 mins or the next day, will it be set to logged in or off?Would devs read the ECID and automatically log the user in and keep the value for an arbitrary amount of time?How does the authentication status remains or changes? User Membership Level QuestioneVar expires at visit, most recent allocation, values: gold, silver, bronze.As of now on the first page

We have click rule which has a event click with a css selector as anchor tag. Rule is pretty small without any conditions. Custom code in the set Variable action is pretty small. I'm just fetching some of the data attribute in action and mapping it to eVars. We see beacons are getting cancelled for the rule , does anyone have any idea ?Even though server call getting cancelled with 307 as status. We see partially data being captured in Adobe Analytics. Has anyone faced such issue ? Note : Unfortunately I can't use time delay. 

Hi everyone, Our organization captures Adobe Analytics data across three different digital touchpoints - mobile app, website, and certain embedded webviews that users may access post-login. A typical user journey can span across these environments. For instance:A user may start on the mobile app, then navigate to a web page via an in-app link.Or they might begin on the website, log in, and then transition to a post-login experience hosted within a separate platform (captured as a different feed).Each of these streams is tracked independently, with their own unique hit identifiers and collection logic. My question:What are the best practices for stitching together a single user session that spans across these different platforms/feeds in Adobe Analytics?Are there any recommended identifiers we should rely on for stitching?How do we ensure continuity of session data across app-to-web or web-to-platform transitions?Are there any implementation patterns or processing techniques t

I want to know if users add to their cart from a certain page.I have verified that, when they do, the event scAdd is triggered and sent in the same beacon as the Pagename.That makes me think that I should be able to use Page as a dimension and Cart Additions as a metric.Can anyone confirm?

Hello,Have you ever experienced an outlier in the line chat that makes you impossible to read the normal values? I'm referring to this chart 

My application is SPA in react ,in both child and parent component we have written sendAnalytics in componentDidMount. method  expected behavior - both the event should fire on page opening or page reload  current behavior - in console logs i can see both the event is getting fired but in omnibug/network tab i can see two request with the same name , its not certain sometime its working as expected , sometime it fired parent component event twice and sometime child component event twice  first two screenshot is for unexpected behavior and 3rd screenshot is for expected behavior  

Hi Everyone, I would like to check if someone has come across this type of request for data nalysis with Adobe data feed.To achieve this i am trying to build a data pipeline. i have a medallion architecture in mind. And the goal is to have one table at the visit level and aggregated tables as per business requirement. Please share your thoughts/challenges/experience if you have any regarding this.  Thanks

What should be the value of tracking server and secure tracking server? whether it should be first party or third party?

I am trying to use the Excel based health dash as posted here by Adobe - https://new.express.adobe.com/webpage/y6DGOeWmpo7UhI am getting error message that the product maynot be supported by Adobe anymore. Any advice here to use this or a similar product to actively monitor the health of a report suite and all its props and evars is much appreciated.

is it a possible option to collect data for the purpose of web analytics like "average time spent on page" even without user consent. we can consider collecting data without an ability to track back to the user. for ex: instead of collecting ECID as an identity, we can consider some other random identity and so this identity wont have an ability to track back to the user.  reason asking this question because significant amount of user browsing is without consent, which means we also lose the ability to run visitor and page level metrics. Thanks

Hi there, I have an AEP profile dataset with some million CRM records being connected to CJA. Most of profiles do not have events tied to the CRM ID, so we cannot view them in Analysis Workspace (as Adobe FAQ explains). However, the client needs to analyze all the customer records in CJA no matter they have had an event. In order to solve this, we generated one "fake event" per customer and the solution worked. The problem of this solution is that we need to ingest some million fake records monthly to analyze CRM data with a (monthly) time window, which is not recommendable from both licensing and data cleansing perspective. What would be the best fit approach to circumvent this limitation?  Thanks in advance,