Adobe Analytics

Hello, I wanted to experiment with the Logic Group container. I basically replicated segmentation grouping used in the documentation, but my container is only showing the standard Person, Session, Event container settings. Am I doing something wrong here?

For a travel ticket booking site, we collect various data points throughout the user journey, including product type, category, customer details (non-PII), and other details at each step (product view, add to cart, details filled, checkout) before a purchase is made. I am considering three different setups for configuring these rules. Could you help me understand the differences and recommend the ideal setup? Can we also use props to make the tracking better for any scenario?Thank you 

Adobe Analytics workspace question SKU can be part of any shopping cart events (prodView, OpenCart, cartView, CheckOut etc)How do we create a segment for customer having SKU=ABC as part of prodView in their latest event for that SKU ? Here are the sample example of customer events sorted in time ascending order:Customer 1Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=PQR, ProdViewTime8:SKU=PQR, cartViewTime9:SKU=PQR, CheckOut Customer 2Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=ABC, OpenCartTime8:SKU=XYZ, ProdViewTime9:SKU=PQR, cartViewTime10:SKU=PQR, CheckOut In the Above example, customer 1 should qualify as the latest status for SKU=ABS is prodView on time6.However customer 2 would dis-qualify as the lates status for SKU=ABC is OpenCart on time7.

As you can see in the screenshot below, I have the various values for a selected marketing attribute matching the criteria of starts with "emhvasmtouch3." However, when I create a visit segment for that same criteria, it doesn't include all of the activity. Note that "emhvasmtouch320250806" returns 10 fewer visits and is missing a $49 order. Is there a way to adjust my segment to ensure it matches what the basic filtered view would show?  

Hi Team,Has anyone implemented KPIs such as "Invalid Visit Rate", "Conversion Rate without Bots", and "Conversion Rate with Bots" in Adobe Analytics dashboards?Additionally, I’m looking to generate a report that answers:"How much bad bot traffic is attacking our site?"I've attached a sample dashboard for reference to provide more context. Any guidance, best practices, or examples would be greatly appreciated.Looking forward to your quick responses!Thanks in advance,Madhusudan Sura |+91-9423067216

Hi All, I am facing a weird issue where any clicks on Exit outbound link (different domain / social media) renders the rest of the setup not working.I have used Adobe Data collection to setup the tags and within it I am using extensions like Adobe Client Datalayer to trigger Rules based on datalayer pushes. However, in testing when I click on any social media outbound link or any other outbound click, after that any basic CTA or link tracking events on the man site are not being triggered.

Hello,I am currently exploring the migration from Adobe Analytics to Adobe Experience Platform Customer Journey Analytics (AEP CJA) for our mobile application. Our app is built using Xamarin Native (MonoAndroid), and we have integrated Adobe Analytics using the existing mobile SDK.As part of our migration planning, I have a few questions:Is there official support or recommended integration paths for AEP CJA in Xamarin Native (MonoAndroid) applications?Can we leverage our existing Adobe Analytics implementation, or will significant changes be required to support AEP CJA?Are there any SDKs, wrappers, or sample projects available for Xamarin or .NET-based mobile apps targeting AEP CJA?What are the key considerations or challenges when migrating analytics tracking from Adobe Analytics to AEP CJA in a cross-platform environment?Any guidance, documentation, or references to migration best practices would be greatly appreciated.Thank you!

I am struggling with building a report based on an evar as I dont fully comprehend the nunances of evar.On my website, we have product pages. On those product pages, we use and evar to capture the product brand (evar10).The configurations of that evar are:merchandising : conversion variablebinding events: purchase event (order, revenue, units) checkout, cart additions, remove from cart, add to wishlist, remove from wishlist, product view, cart view, and cart open.allocation most recent : lastreset: do not resetexpire after: purchaseenable merchandising: enabled. Now, i want to know conversion rate for evar10 = brand_ASpecifically, I want to know 2 things :QUESTION 1. of all visits to products page where evar10='brand_A', what percentage of those visits purchased 'brand_A' products?QUESTION 2. of all visits to products page where evar10='brand_A', what percentage of those visits purchased a product (of any brand, does not have to be a brand_A product).I created a segment based on H

Hi all, Wondering how Journey Canvas or Fallout visualization treats journeys with touchpoints that have the same timestamp? There is a use case to understand how many people open, click/unsubscribe after an email is sent, but the email events are timestamped to the disposition date--meaning each sent, open and click action (when it happens on the same day) has the exact same timestamp. When using these disposition elements in a Freeform table to count People or Events etc., the numbers are accurate and match the dataset; but when I try to build out a journey in Canvas or Fallout, the numbers on the sequential touchpoints after the starting point (e.g. Sent) are slightly off (oftentimes less) than the freeform table. I presume it's because it cannot consistently interpret one disposition after the other because they have the same timestamp, but wondering if there's any other ideas. Why is that, and wondering if there are any workarounds other than altering the dataset's times

Hi Team,We’re currently implementing a strict Content Security Policy (CSP) in our web application, and we’ve encountered an issue where Adobe Analytics scripts are being blocked unless we add 'unsafe-eval' to the script-src directive.However, our security guidelines specifically aim to avoid 'unsafe-eval', so this is not a viable option for us.at.js 2.11.6

Hi Adobe Community,My organization currently uses Adobe Experience Cloud services and the Adobe Mobile SDK to send data via Processing Rules. I’m looking for documentation or examples of the event schema used in this setup—specifically how events are structured and sent to Adobe Analytics or other services.Additionally, we’re planning a future migration to Adobe Experience Platform (AEP) using Adobe Experience Platform Edge Network (AEP). I’d like to understand the equivalent XDM event schema structure for this implementation—how events are defined, what standard/custom field groups are typically used, and how to construct and send these events using the Mobile SDK.Any guidance, schema samples, or best practices would be greatly appreciated!Thanks in advance.

Hi 🙂 I was looking to identify all LLMs referring people to our site. For many they have unique referring domains, and Chat GPT seems to add their own query string parameter to URLs (thanks Open AI lol), but for things like google search ai summary, does anyone have any recommendations?Thanks! 

I am attempting to build a freeform table in CJA that tracks how many events where disposition = sent a specific person had per day, over a week or month. I have created a derived field which accurately does this using logic: case when disposition = sent, set = 1, then summarizing on person. If I pull the derived dimension into a freeform table with the date range being a week (ex 9/1-9/7), then it will accurately tell me how many people had 1, 2, 3, etc sent dispositions over the course of the whole week. The problem is, I want to see specifically, how many sent dispositions a person had per day, and then see multiple days over the course of the week in the same table (see screenshot attached for context of what I want the table to look like, with day as the rows and the columns being possibilities of number of sent dispositions). However, when I do this, instead of aggregating a person's sent dispositions over the specific days, it is aggregating them over the wee

How to track different device types ( tab, desktop, mobile) in Adobe analytics for a setup if not using a web sdk setup.I am using data collection to implement the setup. 

I have been using Adobe workspace PDF scheduled reports for a long time. Yesterday, I started noticing that my workspaces which are scheduled to be sent to multiple users by email at an hourly cadence are being sent as usual by Adobe, but Adobe has stopped attaching the PDF of the Workspace. So, essentially there is no report attached to the scheduled email. I have tried to cancel the existing schedule and add a new schedule multiple times, but it isn't helping. Is this is known issue? And, is there a solution?

I want to see how many visitors were on a specific page between 10-10:30. In reporting,  I've filtered the time frame to look between 10-10:30 on a specific page. 1) If a user came at 9:50 and stayed idle on that page, will they be included in the total unique visitors between 10-10:30 in reporting? 2) If user came at 9:50 to the page and clicked on a CTA at 10:05, ill they be included in the total unique visitors between 10-10:30 in reporting?

Hi,I'm wondering if a TTL (time to live) for specific type of events within profiles in AEP (leveraged by both Audience Manager and CJA) affect what events are being used to stitch identities for CJA? Wondering if, when a TTL is established for profile events from a dataset, and it eliminates events from the dataset in profiles that would be needed as reference for stitching-- past that TTL time range-- would it indeed affect graph-based stitching in CJA? I.e. even though X days ago someone's ID got stitched w primary ID in their profile, once the TTL hits after that X days then the stitching reference goes away. Or, does the TTL does not affect how graph-based stitching is done for CJA, and it only affects the events that appear for a profile when building an audience in Audience Manager?

Hello, is there a way to limit a freeform table such that only the first 10 (or 25, or 50--basically, any number you define) shows? I'm not talking about clicking on the number that controls the number of rows shown. Is there any sort of filter I can create such that *only* the top 10 ranked results of a given dimension are displayed? And no...I do not want to manually filter the top items I'd like to display since this dimension changes a lot from day-to-day. I ask because I want to create a horizontal bar chart where the metrics for the Top 10 are listed in descending order. But when I sort the metric by highest to lowest, it returns the last item (the table has 150K+ rows). The first screenshot shows what I want to include in the bar chart, but in descending order. The second screenshot show what happens when I sort by descending order.   

Hello,I'm currently working on an analysis on Cart Abandonment rates and I'm trying to isolate Cart IDs which match the following conditions:The cart (represented by the Cart ID) is comprised of only a single item, andthe item = a specific value (in this case, Product SKU = Professional Membership)The goal is to see compare abandonment rates of carts with multiple items versus those with a just a single item, Professional Membership. The following screenshot shows Cart ID broken down by Product SKU. I'm trying to capture ONLY instances of where the Cart ID returns a single row. Any ideas on how I can achieve this? 

My thought is that the best practice here would be if a product is viewed after applying a filter as a Y/N, as counting total products viewed might indicate that the customer was not able to filter deep enough to find the right product.We currently do not have an event implemented to track this, and I'm hoping that I can use a combination of product list filter clicks, product list tile clicks and a product view in a sequential segment and/or a custom metric.  However, as I build this out, I'm getting stuck with a visit segment that includes product views that occurred from this specific click path AND product views that happen from another finding method within the visit, rather than the simple Y/N.  Am I thinking about this the right way?  Has anyone solved this already?  

Hi all,  I have some irregular data from Sep 17 (JST) and I think that is caused from the attached issue (https://status.adobe.com/).The issue shows that "The Adobe engineering team reverted the data collection performance optimization change at 11:00 UTC on September 18, which prevented further unexpected values in Analysis Workspace reporting. " But I got some irregular data today (report suite and datafeed). The irregular data looks like only post-operated data and non-post data is good for me (that is, evar1 is good, but post-evar1 is not good). Does anyone have the same problem?   

I created two Rules in Data Collection. One first one fires when a video starts playing (Video Start). This is event 50. The second one fires when the video finishes playing (Video Finished). This is event 54.When testing, I noticed in the interact call for Video Finished/event 54, both event 50 and event 54 have a value of 1.  In the Video Finished rule, in the Web SDK Update Variable action, I only put a "1" on event 54. I left event 50 blank. I did not check the Clear existing value checkbox although I did try checking it and it didn't make a difference.  I'm concerned about the data/reporting for this event. Why does event 50 have a value (1) even though I didn't enter this value in the update variable action, and how can I remove it?

When we search for a product related to our client's website, we receive options through Google's AI mode. When the AI presents links related to our client's site, we click on one and are navigated to the site. If an order is placed, this conversion is currently attributed to the 'Organic' channel. However, when users click on those AI-generated answers in Google search, the referrer only shows as google.com. Could anyone suggest how we can distinguish between 'AI overview' clicks and standard search clicks? Instead of attributing this traffic to 'Organic,' is there a way to attribute it specifically to 'AI Mode clicks'?

In my website , I see a race condition rarely when the user land on first load rarely i could see my web sdk page load rule is not triggering. So i created an rule checking whether the acdl, ecid and one trust is available and emitting an acdl event on its availability. But this rule checking throws a timeout error on a race condition first page load where it records a unique visitor but not the pageview.We are triggering that checking rule on acdl event pageloaded, but also throwing race condition and says custom code has been time out.Any help how this can be fixed.Note : Will this be caused as when acdl is pushed before launch library is not readyplease advise  

We are seeing a rise in 'generic android device' within Mobile Device in Analytics.And a decline on knowing the actual device make and model.Have Android devices stopped sharing the info to identify this, like Apple?Or is there some kind of issue.