Adobe Analytics

We discontinued supporting one of the website and even disabled the launch property build. But still some other unexpected(uncovered from collected data) websites sending the traffic to that report suite. As the other websites/current scripts it’s beyond our reach, we have no option to control the scripts itself. So is there a way to make the payloads fail at browser level for specific report suite from Admin or from Adobe, on report suite basis? Appreciate your inputs. Again, VISTA, BOTS, aborting the calls, invalidating s object doesn’t helps as we can’t access the scripts nor just exclude hits, we completely want to stop ANY/ALL calls to that report suite ID to avoid cost.​

Hello everyone,With the upcoming migration from traditional classifications to Classification Sets in Adobe Analytics, I had a question regarding performance optimization.Previously, when using classifications, we had to create them separately for each report suite, even if the same variable existed across multiple report suites.With Classification Sets, we can now create a single classification set and apply it to multiple report suites, which simplifies governance and management.However, the official adobe documentation mentions two important points :• Processing time improved from ~72 hours to ~24 hours• Performance mainly depends on the number of unique key values, especially when combining variables from multiple report suites into a single classification set.ScenarioSuppose we have the same variable (for example an eVar) across 8 report suites.Instead of creating one classification set covering all 8 report suites, would it be better from a performance perspective to create: Two

 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!

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        

I made a report in Workspace and noticed hits from Linux. I broke it down by User Agent and most of the traffic were from Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.3. It’s also interesting that the Bounce Rate from these visits are very high, 99%. Are these from bots? If so, is the best way to handle it by making a Processing Rule (in Admin)?  

In AA it is possible to resize multiple columns of metrics at the same time in freeform tables. However this nifty feature doesn’t work in CJA as far as I have found. Copilot gives this response:In Adobe Customer Journey Analytics (CJA), there is currently no feature that allows you to bulk‑resize multiple metric columns at once. Column width in Freeform Tables can only be adjusted manually, one column at a time, by dragging the column borders in the Workspace UI.Is this feature planned to reappear in CJA?

Hey there!After implementing the Web SDK guided events, CJA reporting and setup are impacted by decisioning.propositionFetch events. We currently have to exclude this event type via segments to align CJA with AA, but doing so breaks Session Starts and our Internal Domains logic. Impact in CJA (we are using raw AEP data, no Adobe Analytics Source Connector): Sessions / Page Views / Session Starts  With an event-level exclusion segment (eventType = decisioning.propositionFetch):  Sessions ≈ AA Visits  Page Views ≈ AA Page Views  Session Starts much lower than AA Entries  Without the exclusion segment:  Sessions and Session Starts are higher than AA  Page Views still align with AA  At a dimension level (e.g., Canonical URL, Marketing Channel), we sometimes see Sessions > Page Views, which should not occur  Root cause: decisioning.propositionFetch fires first, so CJA treats it as the session-start event. Excluding it via segment

Anyone else notices that proportional column resizing is not working in the last day or too? Dragging the left hand column of a table used to resize all columns equally but this isn’t happing at the moment and now I’m having to resize each column separately. Is this a bug?

Classification rules are now available in classification sets.I created a new classification set and added a rule with a regex and I wonder if any of you can shed some light on the following observations.According to the status, my new rule was directly activated without me explicitly activating it. Even after deactivating and saving, it reverts back to active. Testing the new rule gives me error messages. First it says “You have unsaved changes to your rules. Please save your changes and try again.”, although I saved it and did not change anything. After clicking on “Save rules” (again) and clicking on “Test rule set” it unhelpfully says  “Failed to test ruleset. Please try again.”Are there known problems with saving/testing rules?

In the current A/B test (screenshot below), our team is perplexed as to why Experience B has the higher confidence rate while Experience A has the higher number of conversions. We are using Locate Dealer Search as our Segment, with our ultimate goal being the completion of a form on the dealer search page. Any input from experts on why/how conversions are measured? Did we structure the test correctly?  

After a promo email went out, we got a huge spike from Microsoft-based IPs. I believe we got about 300K UV in 4 hours, so it’s likely from their email scanners. This seems like an old problem that is popping up again in 2026. Does anyone have a way to mitigate reporting this traffic as UVs? We’re using Cloudflare, but they even bypassed that.

It is my understanding that Marketing Channels is a waterfall, and each Visit will fall into ONLY one Marketing Channel, from the Marketing Channel rules. All Mktg Channels have the override checked - EXCEPT for Direct and Session Refresh (Internal Referrers). Is there something that needs to be changed here so that the Processing Rules only allow 1 Last Touch Marketing Channel per visit?

My data has a dimension called ExpiryDate. I’ve created Date Ranges like “Upcoming 3 months”, “Upcoming 12 months”. I’d like to create a report showing the number of Customers whose expiry date will be in each of those date ranges. I’ve tried using a simple freeform table with ExpiryDate as the dimension and People metric filtered by Date Range, with unexpected results. In our local systems, we can query our source data accordingly. Any ideas how to approach this with a CJA project?Date Range People Customers with ExpiryDate in Upcoming 3 Months 10,000 Customers with ExpiryDate in Upcoming 12 Months 25,000  

I see this question asked several times over the past 10 years but not recently. Does Adobe Analytics have a built in or browser extension providing heatmap overlays per page? I’ve tried the “Activity Map” but can’t get it to work. Before I circle back with my enterprise admin, does anyone have a visual example of this working? We also use Quantum Metrics but their heatmapping is very buggy. It occurred to me that since it’s 2026 Adobe may have come up with their own way for users to quickly visualize consolidated user activity on a page in a visual format. Anyone seen this in action?I found this user’s DIY instructions and a few posts asking but getting 3rd party suggestions, but again, they are years old. Hoping for some progress toward a feature or a more reliable relationship with QM?  

Hi Folks, I am working on the Adobe Analytics implementation migration to Web SDK. My development team is currently implementing it, and we have some questions regarding the XDM object structure for the customMetadata that we send into the media session.In our current implementation, all the contextVariables that we send with pageview and action calls are also passed into the media session. The common set of Adobe processing rules maps these contextVariables to the analytics variables for both action & pageview calls as well as media analytics session calls.We have designed the XDM payload schema and would like to follow the same methodology as before: passing the complete XDM payload as customMetadata into the media analytics session. However, the media analytics custom metadata only supports variables of string type, and does not accept objects.Do you have any recommendations on how this should be handled so that the common set of processing rules can still work for the shared va

Hello AA / ARB Community - are Dependent Data Blocks not a thing in the new Adobe Report Builder?  I can only find very brief info about dependent data blocks for Legacy Report Builder.  Is there a new way to do this, or some new vocabulary around it? Thanks for reading and for any ideas.

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Note : This follows legacy Adobe Analytics implementation.Issue : When order is completed on the website, there is an order element tag and purchase event which is being sent to the Adobe servers.1. Order element Tag goes from the frontend or code side, going as smetrics call and setting up the eventx with eVars.2. Purchase event is set in Adobe Launch via Rules , the standard way. Order element Tag generates different visit/visitorID when debugged in the data feeds - which should not be the case. This should get in sync with the same session as purchase event is in.Following this document:https://experienceleague.adobe.com/en/docs/analytics/implementation/vars/config-vars/visitoridSolution says, if we can somehow bind these two events via IDs considering the ECID here to stitch the data : 1) Capture ECID during checkout (this should be on a browser cookie) and send to the server when placing order2) Send the order purchase event via edge network with both a timestamp and the ECID.3)In

Hi,  I am trying to figure out if I can make a segment that takes a time range calculated based on how many days have passed from a specific time.For example, if we have a new design/new campaign I can make a date range to start from the campaign start date to today, but if I want to compare the period before with the same amount of days is there a way to do it?  In this case the Before segment today will be these dates Aug 13, 2025 - Nov 18, 2025.But tomorrow I need it to be Aug 12, 2025 - Nov 18, 2025, as the other segment will now include Nov 19, 2025 - Feb 25, 2026. 

We have a requirement to create an Adobe Analytics report showing: Logins per user role Percentage of users in each role who logged in (i.e., Number of users in a particular role who logged in / Total number of users in that role) Currently, we can achieve this using a calculated metric with a static value for the total number of users in each role. However, this approach is impractical since the static numbers need to be manually updated whenever user counts change, and there are multiple roles to manage.Our development team is ready to update the total number of users per role in the data layer. We can then capture this value in an eVar, prop, or event.Question: How can we handle this in a way that ensures the total user count per role is dynamically updated in Adobe Analytics, without requiring manual intervention?Note: Since this is a weekly report, the number of users in a role who logged in during the week may not equal the total number of users in that role.Thank you in advanc

Dear Community, I have a question regarding the use of the metadata execution helper function in CJA. Our use case is to leverage metadata execution to register the use of fragments without having to create multiple journey nodes in AJO. We are currently testing a journey execution that includes two parameters in the metadata. In the message feedback dataset, the metadata is stored as a map, and I can see the data structured as follows:[key1 → value1; key2 → value2] However, when I add the metadata field in CJA, it appears in separate rows:-journey. Breakdown: --value1--value2 I would like to know whether there is a way to concatenate the metadata values in CJA so that they appear as:-journey. Breakdown: --value1 - value2 I hope I was able to clearly explain my question. Please accept my apologies for not including screenshots, as the current test data cannot be shared.Thank you in advance for your support.Filipe Freitas