Adobe Analytics

I've created the below segment that tracks the customers who have viewed this specific URL and then submit an order with a certain type of product.  I believe this is only tracking the customers that complete these actions within the same visit. I'm interested in modifying this segment to track the customers that come this this URL and then either in the same visit or a future visit, submit an order with this certain type of product. What changes do I need to make in order to capture this wider population?  

My business stakeholder insists on doing A|B tests by comparing time periods vs. running concurrent tests using Adobe Target. In Workspace - is there a way to configure the date range so that the previous period automatically adjusts to compare to the current period.For example if the current period = 3 days then the previous period = 3 previous days (i.e. April 13-15 vs. April 10-12)AND when the current period = 4 days then the previous period automatically adjusts to include the previous 4 days (i.e. April 13-16 vs. April 9-12), etc. etc. I know how to manually configure by using the "compare time periods" function but hoping for an automatic solution.Thanks for your help.

Fall out diagram is not working. Is anyone else facing this issue?

As the title suggests, this is mainly for use on providing different access to different components to different groups: from Marketers, to Interns, to AA Power Users and to admin - and this is by no means an exhaustive list. And a follow up question is how much these are transferable to CJA?

Consider a scenario where Adobe Analytics data is connected via source connected into AEP dataset1 using standard OOTB schema, and then used inside CJA for visualization. Now webSDK is getting rolled out to dataset2 using custom schema. Would there be any issue or limitation while doing MoM or YoY analysis in CJA from these two dataset together ?

Hello,I have a few question about an implementation that we are currently doing. It is our first implementation across both web and mobile app platforms. Here is the scenario:A single user (user_12345) has two different ECIDs:ECID-123 (web)ECID-456 (app) I understand from Adobe documentation that visitor deduplication is not retroactive. When a visitor accesses our site for the first time and then authenticates, two unique visitors are counted:The first visitor count from the generic Analytics ID (ECID) generated for anonymous browsingThe second visitor count from the custom visitorID assigned after authenticationMy questions:1) What is the best practice to track a complete user journey across our web and app platforms?2) Is it possible to show the user's activity prior to authentication? 3) Are there any specific data collection strategies I should implement when sending data to Adobe Analytics in this cross-platform scenario?Our goal is to understand the complete customer j

Hi, I was looking to pull a few metrics in Data Warehouse that use the Approximate Count Distinct function on various dimensions, as we're increasingly finding these metrics to yield low traffic bucketing within Adobe Analytics, but I can't seem to get any of these metrics to appear as options within Data Warehouse. Does anyone know if Data Warehouse is incompatible with Approximate Count Distinct?

Dear Community, When creating a request with granularity, in Adobe Analytics Data Warehouse, we get an output file with a "Date" column which includes a comma to split the year. As we are converting the .csv file, using comma as its delimiter, the column split is not working fine. Is there a way to adjust this before the export? Take the example below: Thank you in advance,Carolina

If a user clicks on a link populated by Google's AI in search or a ChatGPT query, what type of referral traffic will their visit appear under?

I noticed this started happening yesterday to a colleague and me (separate computers, networks, and countries). Whenever we attempt to save a new project, Adobe pops an error message at the top saying "folderID is required" even though a folder has been selected (tried multiple folders). The project does save back to the root Projects folder, but we can't seem to save to any other folder. If you try to save enough times, the error will change to a message that the project could not be saved and to refresh the page. I've tried a couple of different browsers and have cleared cookies/cache, but I can't seem to get past this one. Has anyone else run into this before and found what was happening or what I'm missing?

Hi everyone, I have read the documentation and browsed the Q&As but so far, I am still not sure how an exit rate works combined with an eVar or Prop, hope you can help:We have few pages on our website and a lot of applications, sometimes several per page. That's why I need to use eVars / Props to check after which interaction with an application or after which process step a user left the website. The challenge here is, the eVars / Props I am referring to, are not always filled.Here is my example, I need clarification on:Case1:Hit 1:      eVar_X (Application Name) fired with Value App ALast Hit before Exit: eVar_X (Application Name) fired with Value App ACase2:Hit 1: eVar1 (Application Name) fired with Value App ALast Hit before Exit: eVar_X (Application Name) not firedCase3:Hit 1: eVar_1 (Application Name) fired with Value App AHit 2: eVar_1 (Application Name) not firedLast Hit before Exit: eVar_1 (Application N

Hi, I've some specific questions regarding the data structure of contents of my post_event_list. I don't understand what they meant. Could somebody shed some light on them? 1. 220 = 31, does it mean event 220 happened 31 times? Or was it something else? 2. What does ".00" in 1799 = 31.00 stand for?  Thanks,

My referrer report from data ware house ingested in Redshift DB and used in Tableau shows around 33% less page views for bookmark/ typed.( I am taking the entries with "--" in referrer column as typed/ bookmarked in my DB table) for a given time frame. Is there a way to match these values in Adobe analysis report and in Tableau report?

Hi Adobe Team, I’m currently preparing for the **Adobe Certified Expert – Adobe Analytics Business Practitioner** exam and would really appreciate access to the Adobe Analytics demo environment for hands-on training and practice.Please let me know if any further details are needed from my end.Thanks so much for your support! – Anjali M

Hi,I was reviewing the documentation (as seen in the image below) and came across a point that raised a question for me. According to the document, with a 5-second gap between events, the system would process about 17,280 events in a day (12 events per minute × 60 minutes × 24 hours). Based on this, I’m wondering: Given this volume, would this still be considered large-scale or big data by your platform’s standards?Thanks,

Hi, We are looking to integrate Adobe Analytics with an EDS Site. How would we go about implementing this into document based authoring if we want to track multiple events, including page view, scrolls, clicks, session start, user engagement ? Any steps would be great Thanks in advance!

Hello @yuhuisg  We are in the process of implementing web vitals through a web software development kit (SDK) and have several questions. Your insights would be highly appreciated.Data Collection Volume:As we add this to send events (essentially sending beacons), it appears that it will generate thousands or more hits, considering all web vital events.If we run this implementation for 1-2 weeks, can we expect to gather enough data to make informed decisions? Alternatively, is there a shorter duration that could still provide valuable insights while saving on server calls?Alternative Data Sending Options:If Adobe Analytics (AA) is not an option, what other methods are available to send these data to any desired location?Do you have exact sets of custom code with instructions that can help implement this? Specifically, code for event conditions, data elements, core code covering extensions, and sending code.Debugging Custom Code:Is there any documentation available on how

We are looking for inputs how Tables/datasets sizing can impact CJA in terms of Licensing and Cost to onboard CJA. Requesting you to please share if you have any suggestions on this. Thanks !

Hi,We are migrating from Adobe Analytics to AEP Web SDK. We are not using the ECID extension; instead, we are using the custom code below in a rule to capture the ECID and send it to Analytics Workspace:return alloy("getIdentity").then(function(result) {_satellite.setVar("experienceCloudID", result.identity.ECID);});This is working fine. However, when we were using Adobe Analytics with the ECID extension, we used to see two additional server requests—one from Adobe Audience Manager (type: ID Sync) and the other from Adobe Experience Cloud (type: Other). Since we no longer see these in the AEP Web SDK implementation, we wanted to understand the potential impact and whether any additional configuration is needed to ensure we are not missing any important data.Thanks,Kaushik Ganguly

I added the following metrics to the table shown in the screenshot: Bounce Rate (SPV/E), Bounce Rate (SPV/V), and Bounce Rate. As you can see, the different bounce rate metrics vary greatly, so we are looking for some expertise on which to use. Usually, we use SPV/E when looking at visits; however, we are seeing bounce rates greater than 100%. This is what prompted me to examine the other bounce rate metrics, but they vary so greatly that I am looking for some expertise. I know the difference in what they calculate. (Singe Page Visits/Entries vs Single Page Visits/Visits). If the goal here is to just see the page URLs with the highest bounce rate, which is the accurate one to use for my instance? Image attached.

 Does anyone possibly have any insight as to why the Platform tag seems to be appearing in the debugger, but Analytics says "Not found"    

Is it advisable to rollout webSDK page by page, or should this always be done full rollout in single deployment for the entire website ? The Adobe Analytics data connector to AEP would have 15min of latency, where as webSDK to edge network is realtime. if we deploy webSDK in stage wise, would this not create a timing mismatch in CJA reports ? or CJA would automatically adjust based on the timestamp of the clickstream HIT, and NOT the timestamp of data ingestion ? Secondaly, what are the best practices to stop the connector while fully deploying the webSDK without loosing any data between this deployment transition ?