Adobe Analytics

I’m currently validating Adobe Analytics tags for a banking mobile app in the UAT environment. When I trigger certain events (tags), I can see the data firing correctly in the Adobe Analytics Debugger. However, the same data does not appear in Adobe Analytics Workspace. I’ve tested this across multiple devices and operating systems, but the issue persists. What’s puzzling is that when my colleague performs the same actions from her system (different device and setup), she is able to see the data in Workspace without any issues. It seems like the problem occurs only when I test it, despite not using the same device or environment as my colleague. I’m unsure what could be blocking the data visibility on my end. Has anyone encountered a similar scenario before? Any guidance or insights would be greatly appreciated.

I ingested data to dataset (I am AEP architect so its really there :). At least 100k records. Then sent it to CJA - I mark the backfill. How can I futher debug? Its already 8h so it should be there  

DescriptionThe ability for a Workspace owner to hide a panel within Workspace. Why is this feature important to youThere are two main reasons:(1) Temporarily stop sharing a specific panelToday, I faced a situation where, due to an issue with data coming from Web SDK ingestion, a panel shared with employees across my organization was displaying inaccurate data.Until the ingestion issue is fixed, the only available solution is to delete the panel entirely, which means I will later need to recreate it from scratch.A “Hide Panel” feature would allow Workspace owners to temporarily disable visibility of a panel without losing the work already done. (2) Facilitate report developmentConsider a project with multiple panels already being actively used.If I need to develop a new panel, this currently has to be done outside the existing project to avoid exposing incomplete work to users. Once development is complete, the panel then needs to be recreated manually inside the production project.A “H

It is pretty straightforward when using first known or last known allocation with session expiration in Adobe CJA. It is less clear when a custom lookback window is used, because of both the forward and backward nature of these allocation types. Example, if a user had the following sequence, what would be the first and last known values assuming the followingDay = the date in January Chart date range is Jan 1 - Jan 31 Custom lookback window is 7 days for both the last known and first known properties.Day Value on Event First Known Last Known 1   C C 5 C C B 9 B C B 14   B A 18 A B A  Does custom lookback essentially work as custom look-forward for ‘last known’? Is the above correct?

Assuming I have an evar1 on my site which triggers on every product page to capture the color of  the product. And assuming I had 2 visits to my site. Let’s say that the evar1 is  a regular evar, expires on visit, allocation last touch, and assuming the following scenario:  Pages visited User A - Visit #1 product page 1- color = blue evar1 is set. value = blue proudct page 2 color = red evar1 is set. value  = red product page 3 color=green evar1 is set value = green home page evar1 is not set   Pages visited User B - Visit #1 home page evar1 is not set  product page 3 color=green evar1 is set value = green marketing page A evar1 is not set marketing page B evar1 is not set       Question:​​​​​s:based on the above, if i build a report like the one below, what should i see and why? evar1 visits evar1 instances page views unspecified       blue       green       red        

how do i create a cohort segment for users who first came to the site on a specific date? SAy users who first came on 2 specific days in february. I want to know how often they return each month since then. (the date of my cohort would be from Feb until July)

I want to analyze the visitor journey from time of entry up until, and including, the point of conversion.Right now I have Visitor container where pageview exists THEN e3 (form conversion) exists.The conversion happened in visit 6. The issue I’m facing is that setting the segment to “Before sequence” only shows visits 1-5After Sequence shows the converting visit but everything after it which I don’t care about. How can I add logic to cap it at the point of conversion or the converting visit? 

I created a segment based on a fallout touchpoint in Adobe Analytics, and then used that segment within a calculated metric wrapped around an event.However, I’m noticing that the value of this metric changes depending on the overall date range selected in the report.For example, when I set the date range from January 1 to January 31, the metric count for January is 100. But when I expand the date range from January 1 to April 30 and then break the data down by month, the count for January increases to 200 instead of remaining at 100 (which I believe is the correct value).Can someone explain why this is happening? Is this expected behaviour when using a segment derived from a fallout touchpoint within a calculated metric?

Hi everyone,With Adobe Analytics 1.4 APIs deprecating (Aug 2026), the Processing Rules “view” endpoint will no longer be available, and currently there’s no equivalent support in 2.0 APIs.To help with this gap, I built a lightweight Chrome extension called AA Processing Rules Exporter.The extension extracts Processing Rules directly from the Adobe Analytics UI and downloads them in the same 1.4 API JSON format.This can be useful for: Processing Rules documentation Debugging mappings Managing rules across multiple report suites The extension is fully open source and runs locally in the browser.Extension Link: https://chromewebstore.google.com/detail/plcmmgiheecgepcmpkibmffodanlemhoGitHub Repository (Open source): https://github.com/abhishekDhami/AA_Processing_Rules_ExporterWould love any feedback or suggestions 🙂

 Good morning,Recently I’ve been trying to make a deep dive on the Time on Site users spend on my web and I noticed that I have a very big difference between the Time on Site we see on the Freeform table for All visits, and the time we see in the the Key Metric Summary, even though we have the same filters applied.I can tell it’s because of the days average but I would need you as experts to help me understand:Why such a big difference The meaning of each KPIThank you in advance!

We are trying to upload a new classification file (.tab) in Adobe Analytics - Admin > Classification Importer. When we upload the file the section with “Overwrite data on conflict” checkbox greyed out / not selectable. We need our data to fully update based on our new file. Is it going to update the data if that checkbox is not checked?  Appreciate your help. Thanks!   

Body:Hello everyone,I’m encountering an issue with a Page Rule in Adobe Analytics. The rule is configured with:Event: OneTrustGroupsUpdated Action: Send BeaconHowever, I consistently receive the following error: Failed to execute "Send Beacon" for "Adobe : Page Rule" rule. A timeout occurred because the action took longer than 5 seconds to complete. Error: A timeout occurred because the action took longer than 5 seconds to complete. Since the rule only has the event and the beacon action, I’m unsure why it’s timing out.Has anyone else faced this issue, or do you know what could cause the beacon to exceed the 5-second limit? Any guidance on troubleshooting or optimizing this setup would be greatly appreciated.Thanks in advance! 

Hi!!Since late december 25, beginning january 26, we have noticed a spike in Direct / Bookmarked traffic and a drop in SEO. The only reason we could find was that the spike corresponds to an update to iOS 26.We can see clearly the impact iOS had on the dropping of SEO and the rise of Direct.We investigated with other markets / projects / clients, and this does not happen in their results - it is occurring only on this specific project in Spain.The only hypothesis we have is that the iOS update is affecting Adobe and is including visits from iOS 26 as Direct rather than SEO.Is there a way to correct this? 

Hi everyone,we have implemented a dashboard in Power BI that pulls data from some Adobe Analytics segments.Some visuals, however, are connected to Databricks.Our goal is to set up an automatic refresh for this dashboard. For this reason, we created a Server-to-Server integration in Adobe Analytics, which provided us with an API Key to configure in Power BI.The API key has been configured in Power BI, but the refresh fails every day, or sometimes multiple times per day, especially for the visuals connected to Databricks.The error message shown is the following:It looks like the refresh token expired. Please go to this dataset's settings page, and reenter the {CredentialType} credentials for the {DatasourceType} data source.When opening the error details, we see this message:Last refresh failed: 5/6/2026, 8:18:19 AMAn error occurred while processing the semantic model.Data source error:{"error":{"code":"DMTS_OAuthTokenRefreshFailedError","pbi.error":{"code":"DMTS_OAuthTokenRefreshFailedE

Currently in Adobe Analytics Analysis Workspace, combo charts provide limited flexibility when visualizing multiple metrics together. Users often need more control to better represent different types of data (e.g., trends vs. volumes) within a single visualization.We propose enhancing combo chart functionality to allow customizable combinations such as:2 line metrics + 1 bar metric 2 bar metrics + 1 line metric Ability to freely assign chart types (line or bar) to each metric independentlyUse Case:In many reporting scenarios, analysts want to:Show trend-based KPIs (e.g., conversion rate, CTR) as line charts Display volume-based metrics (e.g., visits, revenue) as bar chartsCurrently, the lack of flexibility limits effective storytelling and forces users to create separate visualizations or compromise on clarity.Proposed Enhancement:Enable per-metric chart type selection within combo charts Allow dynamic switching between line and bar for each metric Improve legend/UI controls to support

Hi Team, We have one Dataset in AEP ‘Webevent ” which doesn’t have any Primary Identifier and data is pushed using Identitymap.Another Dataset “Online Transaction” has the hashedEmail as the Primary IdentifierThere is another dataset “Customer Profile”, This dataset has hashedEmail as the Primary Identifier .This dataset is not merging with “Webevent” and Online Transaction”dataset in CJA dataview.We can see the fields of “Webevent” and Online Transaction”datasets are merging in CJA and showing up as one dimension however ““Customer Profile” fields are not merging with Webevent” and Online Transaction”datasetsWhen I see field I mean , lets say “userId” field is present in above all 3 datasets and have same schema field path in all 3 datasets.userId from “Webevent” and Online Transaction”datasets are merging in CJA dataview and we can see it in CJA also. It is showing a single dimesion but dataset source is both "Webevent" and "Online Transaction"However a new component 69459540021cba3a

I am working on a server-side implementation of Adobe Target using the AEP Edge Network API and have a question around ECID capture on a user’s very first interaction.How does the ECID get generated and returned on the very first load in this setup?I’d appreciate clarification or references to official documentation or best practices for first-time identity establishment when using Adobe Target server-side with AEP Edge API.Thanks!

I want to set up an alert for our Customers metric, which gets updated in AA table every day after 14 pm.The anomaly alerts that I set up are sent at 00.00 which is way earlier than the Customers table is updated. Is there a way to set up the alert to be sent after 14.00 instead of at 00.00? 

Hello all! Question for the community. I’m looking to figure out how long it takes users to complete one of our online scheduling flows on the site on average (from form 1 to the confirmation screen), to see if mobile or desktop takes longer to complete the flow. I figured out how to create a derived field in CJA to calculate the total time it takes users to complete the flow from start to finish (meaning it calculates the entire total of seconds all users have spent completing the flow). I called that dimension Time To Complete OLS Flow and added it to my data view. Then in workspace, I created a calculated metric with Time To Complete OLS Flow divided by the total number of flow completions (booked appointments) to find the average time per user it takes to complete the flow. However, I'm not sure whether to use events or visits as the persistence in the denominator for that calculated metric. ie, Time To Complete OLS Flow / Booked Appts (visits) OR ie, Time To Complete OLS Flow / Bo

When looking at the flow Viz I know it shows number of path views for the previous/ next pages. But is there a way to switch it so that it displays the percentage? I know I can see the percentages if i hover over them but Id like to be able to export it so that the percentages are visible 

We have plenty of PDF on our website that Google has indexed. Since they don't require a password to be viewed, the visitors can view them after clicking on the Google results. If that's the only thing they do, we can't see any data on Adobe Analytics. We are aware that having a landing page would make things much easier but, is there anyway to track these PDF views? Thanks a lot. 

Hello Community,Do we have any solution in Adobe Analytics or Launch where we can pass on the UTM paramters from one page to anaother without losing the data e.g.;Page A: www.example01.com?utm_source=newsletter&utm_medium=email&utm_campaign=campaign01Page B: https://www.example02.comWant to pass the UTMs in Page A to Page B when someone clicks on PageB (which is a link within my Landing Page A)Thanks!