Adobe Analytics

We're seeing a huge increase in what appears to be bot, or at least not-legitimate, traffic to our site.  A lot of them seem to be coming from browsers containing '999'.  Has anyone experienced this before?  Does anyone know what this could be?  We're finding various ways to break it down of course to try to isolate it but happy to take suggestions.

In previous posts, we covered migrating Adobe Analytics and Target to Edge Data Collection using the data object. Migrating Adobe Audience Manager (AAM) to Web SDK ensures you maintain alignment between audience management and your updated Analytics and Target set ups. In this blog, we’ll discuss some important considerations to keep in mind when migrating AAM to Web SDK. You can find a complete Web SDK migration tutorial here. Comparing Web SDK and Server-Side Forwarding First, let's take a look at AAM with server-side forwarding compared to Web SDK. Most legacy AAM implementations leverage Adobe Analytics data by enabling server-side forwarding (SSF) through the Analytics report suite. When migrating to Web SDK, AAM must be enabled in the datastream. Enabling the AAM service allows data to be sent to AAM and services such as ID syncs, cookie destinations, or URL destinations, to be returned back to the page on the Web SDK interact call response. While SSF is still available

Hi everyone! We are experiencing significant discrepancies between the metrics reported by LinkedIn (specifically, total clicks for a post) and those captured in Adobe Analytics (AA) for our paid social media campaigns. This issue also extends to organic social traffic. While we are ensuring that our UTM parameters are correctly implemented, we recognize that the data will never be completely aligned. However, we want to understand the big differences in the numbers. LinkedIn provides detailed click data for a specific post, while Adobe Analytics reports much lower visit and page view counts for the same campaign originating from LinkedIn, raising concerns about the effectiveness of our paid campaigns. Additionally, when comparing data from Sprout, we observe a noticeable difference between "Post Link Clicks" for a specific post and the corresponding traffic in AA for the same campaign. One hypothesis for this discrepancy is that users may close the new window befor

Hello Everyone, How do you all track the previous page name  with adobe web sdk? What is the best way to track it? Wondering if we can still use the adobe’s getPreviousValue plug-in with Web SDK? Appreciate any responses! Thanks.

Hi, From the past couple of weeks, I am not seeing the 'Segment Definitions' When Clicking on the Info Icon. Thanks in Advance.  

I am trying to run the Adobe Analytics Marathon tool and I'm having trouble figuring out how to authenticate... What is being asked for regarding my "Login Company" "Username Override" and "Web Services Password" and how can i find it?

Hi, I am working on Adobe analytics- Appsflyer integation and referring the document available on appsflyer for the same. As peer the doc it says to make changes in ADBMobileconfig.xml. I am using AEP Edge network implementation for my apps and not sure how do I access this xml file to make changes.

I'm trying to create a report for the performance of the campaigns we launched last month and some of those campaigns are like this :?c_code=soc-146-25_02_17_P_H_K_G_SCH#7835somehow I can only see in the hit everything till the # and nothing else. so I'm confused is it because the tracking code not tracking the special characters? or something missing? and is there a characters limit for the tracking code dimension?Thanks

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?