Adobe Analytics

Hello the amazing Adobe Community, I am looking to understand a metrics.We have form conversion set as Segmented “Visit Container” with event## to fire when user submit a form Then create a calculate metrics using that Visit Container Segment + the (Visit) metric is our Form Conversion We want to understand why when we have last touch channel broken down and when we sum the form conversion for each of the channel it doesn’t add up to the “Deduplicate total within the workspace” example using dummy numbers. Can someone explain what is causing this? We understand that visits and sum should have slight difference of approx. 5% but for our form conversion calculated metrics its >15% difference between workspace number and total number. Explain in technical term is also welcome. I want to understand Adobe logic. Channel Visits Conversions Adobe Total 370,123 9,723 SEO 108,351 2,052 SEM 125,824 3,878 Direct 158,885 5,819 SUM 393,060 11,749

Following an update a few months back, one of the most convenient quality of life features with freeform tables stopped working. After opening a support ticket recently I’ve been advised that this was deliberate and won’t be fixed, however I think this is a big miss and it would be great if it could be revisited. The below demonstrates this shortcut, and it involves the use of CTRL / Shift + Left Click to select multiple values within a table. When doing this previously, if I dragged a new component into the table to go above the existing values, it would place one instance of the component above all of my selected columns. However, since the update this now instead adds in multiple instances of the same component. Using CTRL / Shift + Left Click to select multiple values in a table, then dragging a component value over the topThe old functionality (top table) used to just place one component above these selected values, but since the update (bottom table) it now adds one for every sin

Hi everyone, I’m running into an issue with Adobe Analytics on our mobile app and hoping someone can clarify whether this is expected behavior or a configuration gap.We’ve noticed that on certain flows, when a user completes a purchase and lands on the Purchase Confirmation page, if they suspend the app immediately (background the app, switch apps, lock the device, etc.), our Track State and Track Action calls for the confirmation step do not fire.This is causing a measurable drop in attribution — we’re missing at least ~20 confirmed customers per day because the confirmation events never reach Adobe.Expected behaviorTrack State / Track Action should fire as soon as the user lands on the confirmation page, even if the app is suspended right afterward.Actual behaviorEvents only fire if the user stays active on the confirmation page long enough for the hit to dispatch. If the app is suspended immediately, the confirmation events are dropped.Questions for the community Is this expected be

Body:Hi everyone, We’re in the middle of migrating our mobile apps from Tealium to Adobe’s mobile SDKs, and we’ve run into a challenge with Org IDs that I’m hoping to get some guidance on.Current SetupWe currently have two different Adobe Org IDs in use: Adobe Analytics v5 SDK (Legacy) Data flows directly into Adobe Analytics Uses Org ID #1 AEP Mobile SDK (New) Data flows into Adobe Experience Platform Uses Org ID #2 The ProblemDuring the migration, we need both data streams to continue: Data must still flow into Adobe Analytics (Org ID #1) Data must also flow into AEP (Org ID #2) However, since the AEP Mobile SDK is tied to a single Org ID, we’re unsure how to architect the migration so that both systems receive the same events.Questions Is it possible to send events to AEP using MobileCore.trackAction / sendEvent, and then use Event Forwarding to route those events into Adobe Analytics (Org ID #1)? Is this the recommended approach for customers who need to sup

Hello!I’m fairly new to the Adobe Analytics and because of it, I’m still discovering some of its functionalities.Recently, I spotted MANY views coming from a specific country (Singapore) compared to other Asian (and even non-asian) countries.Is there a way to know if most of it is due to bot traffic?I have the Enable IAB Bot Filtering Rules checked. I already filtered that traffic by some dimensions, like average time per visits (which is extremely short) , Operating system (which barely include any traffic from systems like Linux, most of it comes from Apple Macintosh); but filtering by dimension values, I don’t feel confident enough to conclude if it’s bot traffic or not.How are the usual way you use to check out bot traffic?Thank you in advance

I have a table that includes the Unique Visitors metric, and I use the Compare Time Periods feature to add a comparison column (for example, comparing the current period to the same period last year).However, when I change the workspace date range from July 2026 to June 2026, the primary Unique Visitors column updates with June 2026 data automatically, but the comparison column does not. It continues to display values for July 2025 rather than updating to June 2025.Is there a way to configure the comparison period so that it dynamically updates based on the workspace date range selection (e.g., always comparing the selected date range to the corresponding period from the previous year)?

I'm investigating a sudden increase in traffic attributed to the Direct marketing channel and would appreciate insights from others who have encountered similar situations.BackgroundThe landing page URL is not a vanity URL and is unlikely to be manually typed. Historically, most traffic to this page came from Paid Search and Organic Search. Recently, Direct traffic has increased significantly and is now more than double the volume of either Paid Search or Organic Search. No obvious business changes have been identified that would explain users suddenly navigating directly to this URL.QuestionsWhat are the common reasons for a sudden increase in Direct traffic for a URL that is unlikely to be typed or bookmarked? What attribution or tracking issues could cause traffic that should belong to another channel to be classified as Direct? What debugging steps would you recommend to determine whether this is a genuine traffic change or a measurement issue?

Hi all! We have an eVar to capture the searches in our website. We capture exactly what is typed in the search box, and some people use “” to find the exact match. So, if you check on the debugger, you see it’s captured correctly, like “”example””. But, once you use this eVar in Workspace, for instance in a Freeform table, it seems that those “” are removed (via CSS?), so the table shows 2 values that look exactly the same, but if you inspect the element, you can see that those “” are there.2 different values that are displayed as the same Any ideas? Thanks!

Hi all! I'm a PM on the Customer Journey Analytics team at Adobe. We've sketched an early concept for exploring multi-level business data in CJA: the kind of structures where things roll up from specific to broad (opportunity ➡️ account ➡️ parent account, SKU ➡️ product line ➡️ category, or region ➡️ market ➡️ store). I'd value input from anyone who works with data shaped like this.The survey asks how you explore those levels today, where it gets painful to find what's actually driving a number, and whether an org-chart-style way of browsing your accounts, products, regions, or campaigns inside Workspace would help. About 4 minutes.Survey: https://survey.adobe.com/jfe/form/SV_5mUPLXYElPn4MQuHappy to post a summary back here once it's compiled, so it's useful to the group and not just to us. And if you'd rather just tell me how you tackle this today, reply in the thread: I'm reading everything. Thank you so much for any time you can spare.

I have a table of the five percentile metrics in it. The rows are page name. I get the same numeric values for all pages. This is a scope issue but I can not find how to change the attribution on these are make them session/person scoped. Working CJA.   

is there a way to create a dynamic time range comparison that always pull the previous selected period regardless of length. for example. if i selected in the date range for the panel june 9-june 19 the camparison would compare it to june 8th to May 29. and if i changed the date range to look at june 10-june 12 it would then compare it to june 7-june 9. does that make sense? 

Is there a way to move historical Data from one Report suite to Another? We want to move data from last year to a new report suite in which we have collecting data from this year February. 

I need to create a custom last 6 month date range component  that automatically calculates a "last 6 months" window relative to that panel's date. What is the best approach or logic to derive this 6-month lookback period dynamically?

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 🙂

Hello, I have a Power BI Web Analytics Dashboard and I extract my data from Adobe Analytics using Report Builder and Datawarehouse. I am looking to explore ways of replicating Adobe Analytics visuals such as: user journey flow and fallout visual in Power BI. Do you have any ideas of how can I replicate these in Power BI, what data do I need to extract from Adobe Analytics?I want to mention that I don’t want to use API or Raw Data Feeds as these require a higher level of effort and constant maintenance and my client does not want that. Is there any workaround? Or alternatives to understand how users navigate through the website? Any idea is welcomed.Thank you,

We are currently relying heavily on the Adobe Real-Time API 2.0 to retrieve near real-time readership data for our analysis. I understand that the API is designed for fast processing, which is likely the reason behind the current limit of 1000 on realTimeValuesPerPeriodparameter as mentioned here - https://developer.adobe.com/analytics-apis/docs/2.0/guides/endpoints/reports/real-time#limiting-the-number-of-dimension-return-values-per-periodHowever, this limit is proving to be too restrictive for our use case. At present:We fetch data at a 5-minute interval, where we observe peak volumes of almost 8,000 events per interval Even after increasing the polling frequency to 1-minute intervals, we still receive approximately 3,000 events per intervalDue to the current cap of 1000, we are consistently missing a significant portion of events, which impacts the completeness and accuracy of our analysis.We have explored the option of further increasing the fetch frequency, but this is not feasibl

I currently have two separate Excel workbooks containing Adobe Report Builder requests—one with 100 requests and another with 50. Right now, I am using standard Excel copy-paste and cell references to display the data from both in a single file.What is the best way to migrate the 50 active Report Builder requests directly into the 100-request workbook so they all run natively from a single consolidated file?"

Recently, I believe after the latest release, when you now go to Share a Project, you have to double click in the full share link to copy it.Previously you could just click the ‘Tick’ and it would copy it. Not sure if this is a bug or a change on the feature, but please revert it to how it used to work for efficiency.