Adobe Target

We are showing the 10-15 products to the user in which when user like 3-4 products will show them the filtered recommendations on the basis of there liked products and it should be real time. 

We are running an AB test to test updated Headline copy on a landing page. We are testing 4 variants (including control) and have manually set the allocation to 25% to each. I understand that audiences will never exactly match the allocated manual distribution, however in our latest AB test one variant is seeing a significant misallocated. Some background:Allocation manually set to 25% This is an AB test for updated headline copy, no technical or component changes and no difference in how the variants were set up. This is the ONLY test active on the site, there is no collision with other tests There is no audience or segment applied: all users are eligible The gap is present for the duration of the experiment (so its not a one time blip) I am struggling to determine what would cause this and if invalidates the results of the test. Has anyone experienced something similar? How can we avoid in the future or prevent?

I have a specific query on Adobe target implementation through Web SDK for React Single Page Application.I am using Adobe Client Data Layer to send data to AEP, AA and AT. ACDL DataElement change event "pageName" triggers on every SPA page of my react application.On "page view" xdm, I am setting the viewName parameter as shown in below screenshot.On page view send event action, I am using both the checkboxes related to AT (Render visual personalization decisions and automatically send a display event)Screenshots of the rule and action configs are below.I have flight-search page and flights page. Users will land on home page and can navigate to flight search page to search the flight once search completed user will land flights page where it listing available flight option. I have created the recommendation activity to show some recommendation in flights page. I can see the viewName being set properly. However, when the recommendation is not visible when navigate from flight-search page

hello internet friends ! just some Q about analytics / target stitchings.  I have come to understand that this is accomplish via the SDID.  also it seems that SDID is fresh generated by hit (analytics, target or perhaps both).   my Q is this...does the Visitor API initialziation  instantiate the SDID?  If so does it ultimately matter if/when/how the mbox calls are execute on the page in relation to SDID initialaizions?  also are the SDID sets 1:1 or many:many are there any docuementations on this?

Hello internet friends, Aside from the classical rando Int roll method using profile scripts, does anyone know of any other patterns to split audience members into groups for A/B testing assignment (disjoint) ?  Curious if Target has any new-ish built in feature for handle this out of the box.

I want to integrate Adobe Target into my react native app via Edge SDK and run few A/B test activities. I also want to create few tests for the webview screens .Also, what part will have to be done by the app developer in terms of UI changes other than the app setup?

Adobe Target Webinar | From Practice Field to Game Day: How the Packers Built a Winning Optimization Program Date: Friday, June 26, 2026Time: 10:00am - 11:00am PT Join us for this thought leadership collaboration between Adobe and the Green Bay Packers to learn how one of the NFL’s most iconic franchises built a disciplined, scalable optimization program using Adobe Target. In this session, you’ll learn:How the Packers moved beyond one-off tests to a program focused on insights, confidence, and long-term momentum. Real-world use cases from Packers.com and the Pro Shop, including hypothesis, test design, and results. Best practices for governance, prioritization, and measurement in a highly seasonal environment. How to prepare your organization for more advanced personalization capabilities​​​​​​​​. Seats are limited. Register today to be a part of this memorable experience. 

I want to show a popup to users who are trying to leave my website and I referred to this tutorial. Problem is, I am not seeing option to enter “Custom Code” or Compose. I haven’t worked in Target in last few years and UI has changed quite a lot. Can anyone please provide guidance here?  https://github.com/Adobe-Marketing-Cloud/target-experience-templates/tree/master/lightbox-exit-intent

I’ve been running SEO and backlink experiments for DentPrime using different platforms within the Adobe ecosystem — including public project pages, shared assets, PDF links, portfolios, and other Adobe-hosted content.The issue is that none of the backlinks I created through Adobe applications appear in:SEMrush Google Search ConsoleEven after waiting for indexing and checking crawlability, these links still don’t show up.This raises several technical SEO questions:Are Adobe-generated backlinks automatically tagged as nofollow, ugc, or otherwise ignored? Does Adobe block crawler access through robots.txt or JavaScript rendering? Could these links exist in a way that Google can crawl but chooses not to report? Are SEO tools like SEMrush unable to detect links inside Adobe-hosted environments? Do Adobe apps create temporary, sandboxed, or non-indexable URLs? Has anyone successfully tracked backlinks from Adobe Express, Behance, Adobe Portfolio, Acrobat shared documents, or similar services

We would like to thank the 550 customers who registered for this event.The objective of this webinar was to provide a "sneak preview" and a look under the hood to discover what our engineering and product team are working on.Watch the recording of our May 12 webinar here:  Agenda:Major UI releases: Insights Home Page, Allowlist URLs, Flicker Manager, CDN Experimentation SDK Sum up of main Roadmap Features Experimentation Accelerator 🎉 Big Announcement: Adobe Target MCP server is generally available! Adobe is officially connecting your Adobe Target environment directly to your favorite AI assistants. More information here  Slides are attached to this post and can be downloaded as a PDF attachment 👇For customers who want to share their feedback, you are welcome to submit the following MCP Form multiple times as new ideas or feedback come up. Thank you for helping us shape the future of Target.The Q&A file for this event is coming soon.CC: ​​​​​​@VittoriaZocco for visibility 

Can Auto-Target and Auto Personalisation’s machine-learning use audiences created in the Target Audience Library directly?The documentation (What Data is Collected to Build Machine-Learning Algorithms? | Adobe Target) specifically references audiences created in Experience Cloud (with examples of Adobe Analytics and Adobe Audience Manager), as well as audiences created in Platform CDP, but it is not clear whether audiences created in Target’s audience library are used by the machine-learning.For context: We have a single mbox parameter which contains a comma delimited string of identifiers which relate to audiences defined in an external platform. We create audiences in the Target Audience Library to split out each separate audience and make it usable. The string itself will be relatively useless to the ML models. Ideally the audiences we already create in the Target UI will be available.Thanks!

I am very much new to adobe target and need some insight on the current implementation on the website.Please help 

Hi,I’ve missed the last 2 Adobe Target Engineering Webinar’s (#4 and #5). Were these recorded and if so would it be possible to share the links please? 

Hi all, I have created two activities with two different location names for the android app. the activity with the location name bottom-sheet-mbox-fragement is delivering as expected, but the activity with the location name target-global-mbox is not delivering. has anyone faced this scenario before?

With Claude or Cursor, is anyone using any MCPs that are helping either with code, workflow or analytics within work being done in Adobe Target?

Hi, I am looking to see if there is a way to get notifications to a webhook when Activities are created/updated in Target? 

We are looking for some help as we currently blocked in our tracking implementation of this Adobe target server side implementation. We can successfully retrieve a4tpayload/tnta from the backend and sending in the first analytics call through global page rules, but it never appears on the first Analytics b/ss call also nothing appears in the Analytics report either

I'm struggling to find an efficient way to debug Recommendations. With at.js, I used mboxTrace, which provided a very clear "Recs Box" showing exactly which criteria were used, which entities were returned, and why certain items were excluded.Now that I'm using Web SDK and the AEP Debugger, I find the debugging process much more difficult. I can see the network calls, but I miss that high-level summary of the Recommendations logic.What I've tried: Using the AEP Debugger Extension to look at Edge Traces. Digging through the interact response payloads in the Network tab. My Questions: Is there a way to get a visual "Recs box" similar to the old mboxTrace functionality in at.js? In the AEP Debugger, where exactly should I look to see the Criteria details and Exclusion reasons for a specific Recommendations activity? Are there any third-party tools or specific "Edge Trace" configurations that make the JSON output more readable for Recs-heavy implementations? How do you effectively

When using the Target Admin API, I’m creating new JSON offers. My requests are returning a ‘201 Created’ response, but when looking at the Target UI, I’m not seeing the offers in the default workspace. I can confirm that the API has access to the correct workspaces, and response shows the offer created in workspace: default. The response also shows an OfferId that looks accurate.Additionally, some time has passed (>60 minutes), and no offer has appeared yet. Should the Offers be accessible from the Target UI after creation with the API?

I am implementing Adobe Target Recommendations via AEP Web SDK and Launch. While the network calls appear to be firing correctly with the necessary entity attributes, the Target Recommendations Catalog has not updated with these product details, even after waiting 24+ hours.Implementation:I am using a "Send Event" action within a Launch rule. Because my data layer is fully populated later in the page load, I have mapped the entity attributes to the "Web Webpagedetails Page Views" event type.Current Rule Configuration (See attached images): Extension: Adobe Experience Platform Web SDK Action Type: Send Event XDM: %XDM Payload: All Page Views% Data: %adobe-target-parameters [xdm]% (This is where my __adobe.target entity data is mapped). The Payload:In the browser network tab (interact call), the payload looks correct: events[0].data.__adobe.target.entity.id is present. entity.name, entity.value, and entity.pageUrl are all populating with the expected strings/numbers.   The Sequ

Hi Community,we are currently experiencing an issue when introducing new Adobe Target locations, while the existing setup is mainly based on the Global Mbox.At the moment, activities configured on the Global Mbox are correctly evaluated and returned in the response. However, when we attempt to create and use a new dedicated location for more targeted personalization, the Web SDK response consistently returns the following error:"errors": [{"type": "ODE-0001-404","detail": "The Decisioning Package was not found."}]On the AEP / Web SDK side, we are following the official documentation available here:https://experienceleague.adobe.com/en/docs/platform-learn/implement-web-sdk/applications-setup/setup-targetbut the error still persists.From the Adobe Launch side, there is a rule that sends a sendEvent call on page load once the required data is available in the data layer.In this call:personalization parameters derived from the data layer are passed to Target, a decisionScope is set with th

If an AB activity is running on Page X, then help me understand how a visit is counted in A4T for below scenario?User comes to Page X and leaves. This user comes back again in a new visit but doesn’t visit Page X (where activity is running) - Will this new visit be included in my AB activity? NOTE: We only do Visits level reporting in A4T for AB tests.

The activity was created with Adobe Analytics as the reporting source, but it is not present in Analytics Workspace.  

I’d like to use attribute weighting in an item-based criterion in a way that makes sense to me but apparently didn’t occur to Adobe devs. The current setup has a weighting % slider, then you choose the attribute, then an operator, then you must enter a static value, so this is really just a leaky filter.What I want I want from your AI is this:Look at the attributes of the current item Look at which attribute(s) I’ve selected to weight Then look at the catalog items that also have this/these attribute(s) Recommend items with rank based first on similarity in these attribute values Ideally, you could also apply an operator here to tailor matching vs. anti-matching, e.g., highly recommend items that are more or less different in these attribute values