Adobe Analytics

While exploring Adobe Analytics MCP integrations, one question that came to mind was around method-level access control and governance.For teams directly connecting MCP with tools like Claude or ChatGPT:Is there currently any way to provide granular access to specific MCP methods? For example, can access be restricted so certain user groups can only use selected MCP tools/methods?This becomes more interesting from an enterprise perspective, especially if future MCP capabilities expand toward:creating reports modifying variables deleting configurations other administrative operationsCurious to know how others are currently thinking about:MCP guardrails monitoring MCP usage internal governance approval workflows controlled MCP integrationsI was also exploring an OAuth/API-based MCP approach where an internally hosted middleware layer could potentially help with additional monitoring, validations, logging, or custom guardrails before executing MCP methods.I also created a small document w

Why not third? 

I need to create a Segment for Abandon Rate where customer did not purchased or ordered product after checkout process.I created an segment however need your help to understand if this correct? HITSExclude (HITSVISITSProduct Views exists- THEN -Cart Additions exists- THEN -Cart Views exists- THEN -Checkouts exists- THEN -Orders exists)- AND -VISITSHITSProduct Views exists- THEN -HITSCart Additions exists- THEN -HITSCart Views exists- THEN -HITSCheckouts exists- THEN Within 1 Hit(s) -HITSPage exists- THEN -Exclude (HITSPage exists)

Is anyone else experiencing issues with updating Report Builder queries this morning? I keep get an error message saying that “Segments are currently available”

Why third not second? 

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,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

My site recently added the ability to add tags to articles and we’re looking to segment out articles that have specific tags.The intended result: see the # of visits to a page with Tag=recipe from January 1, 2026-May 1, 2026Actual result: seeing the # of visits to a page with Tag=recipe from April (the tag implementation date) to May 1, 2026.The segment logic currently is: Hit levelTags = “Recipe” How do I fix this so that it shows the total visits for a page with a tag on it?

Is it possible to buy it without AEP? Does it use AEP Data Lake or AEP Data Lake forward data to CJA Data Lake? 

 ​@Jennifer_Dungan ​@sandip_surse ​@alchan ​@Property Suggest Can we load Analytics JS from my domain(to avoid as external call during CloudFlare challenge), while retaining Adobe hosted/managed on all other screens, would visitor ID be affected, what other possible implications I should be aware of? I’m sure this quite common issue across industries and likely discussed/fixed in this community, any other workarounds would be much appreciated. Thank you 

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.

Hi has anyone been sucessful in setting up AA MCP in Copilot? I tried following the OAuth setup but do not see any similarities. Connect using OAuth I’ve got Copilot Studio accessI’ve added myself to the MCP product profile that has the right permissions setup I’ve created an Adone IO projectAny guidance would be appreciated. Thanks,Lee

Why 4 is correct not 1?  

Hello,I noticed that for some time periods, the purchase numbers are different between Data Warehouse reports and Workspace dashboards in Adobe Analytics, even though they use the same data.Could it be because of how the data is processed, sampling, or filters? I would really appreciate any advice on how to understand or fix these differences.Thank you very much for your help.

If your bounce rate is showing near-zero percentages after migrating to the Web SDK, this post explains why it happens and how to build a reliable alternative metric.Why Native Bounce Rate BreaksAdobe Analytics bounce rate = visits with exactly 1 hit / total visits. When success events fire on page load as separate beacons (component presence tracking, feature flags, etc.), every page visit immediately has 2+ hits so almost nothing qualifies as a bounce, even when users leave immediately.The Solution: Page View-Based Calculated MetricBuild a segment and calculated metric using page views instead of hits:Segment: Include > Visits > Page View (event1) equals 1 Calculated Metric: [Segment] × Visits ÷ Visits = Page View Based Bounce RateThis is immune to your success event inflation because page views don’t increment on non-page-view beacons.Watch Out: Event Multi-FireIf your custom page view event itself fires multiple times per visit (common with SPA frameworks or overlapping Adobe

Hi,Has anyone with Adobe Analytics Prime upgraded to Adobe Analytics Ultimate?  I didn’t even know Adobe Analytics had different versions until last week.  Apparently Ultimate is a good solution for cross device analysis (CDA), among other benefits, without having to upgrade to CJA. Thanks in advance.

In CJA, is it possible to build this with a sequential segment? Or will it have to be derived? We are looking for people that visited a certain experience. They have should have  ">4 sessions within a 30 day period within the last 4 months, with the last use < 30 days ago.” This feels more complicated than what CJA can produce. 

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

Hello, As you all know, now Google usually generates an AI result for any search, giving you the sources it used on the right. If you click on those, it will take you to your site URL appending something like "#:~:text" to it. I have created a Marketing Channel to allocate traffic coming from sites like Chat GPT and so to "AI traffic", and I want to send these AI generated results to this bucket. The problem is that I don't know how to capture this "#:~:text=" used by Google. Neither window.location.hash nor window.location.href worked :s. Any ideas? I would also appreciate if you shared any other tips regarding the use of AI as a Marketing Channel. Thanks!