Adobe Analytics

I've been looking at the different documentation on how average time on site is calculated however I'm confused by how the Average Time on site Totals is calculated (in screenshot 00:09:16)  From my understanding If I'm looking at a page name for my dimension, the average time should be calculated by a time stamp of each of the page name and then transformed to what we see (00:01:20,00:01:20,00:00:31..etc). However, I'm confused how the Average Time on site total is calculated because if I do the calculation on my own it's not 00:09:16 but the average should be about 00:01:19. Why is it so skewed?  Field DescriptionWhat product are you using?What area of the product are you using?What are you trying to achieve?What’s the problem or error?What have you tried so far?Environment / VersionScreenshots / Videos / Logs / Code       

I am facing an issue with my Adobe Analytics implementation. Previously, the server was set to abc.com, but it has been updated to xyz.com. I have verified in the browser console that xyz.com is correctly being set in eVar1 during rule execution. However, after deploying this change to Production, the report still displays the old value (abc.com).What could be the possible reason for this mismatch?

Hi, We are having an issue with AA returning different numbers for a few of our metrics when you create a segment which says does a search term exist ($7.0M) and when you create a report with search terms ($6.2M).Any explanation for why we would be getting different numbers? If the search term exists, then why doesn't the search term show up in reporting? Definitions:Segment is exactly as written in descriptionThe calculation for Activity Dollars is revenue with an attribution of participation in the visit (just accounting for sales within the same session as this activity).

Hi everyone, I'm currently facing an issue in the CJA Sandbox environment where I'm unable to create, update, or remove connections and data views without involving the Adobe support team. I wanted to check with the community:1) Is this limitation something everyone is experiencing in the Sandbox?2) Or is there a way to configure user-level rights in the Sandbox that allows for self-service on these tasks? If anyone has figured out a workaround or knows if there are specific permissions that can be granted within the Sandbox environment to avoid relying on support, I'd really appreciate your insights.

Hi, Some of my fellow master's students are trying to access the Adobe Analytics demo account (https://business.adobe.com/resources/adobe-analytics-sandbox.html) from the Dominican Republic, but without success. Is there any kind of restriction for accessing it from there? I look forward to your response. Regards,

Hi all, I have seen in Chrome extensions that Activity Map may no longer be supported - is this the case? Are there any plans to update it so it remains a chrome extension? It's quite an important tool/functionality of adobe analytics that I use so hoping there are plans to update it and not scrap the tool.  

We have a scenario where we have a mini player that can also be muted. We fire state starts/stops for "mini player" and "mute" and I want to be able to track watch time on the mini player that was not muted. The issue is that we can mute other places that are not in the mini player so I need a way to filter the media states to have the condition of "mini player" + "mute" to get the correct time.

Issue: In the Android and iOS apps, we present content to users from both native screens and web views. To ensure the user is counted uniquely and tied to the same session, we use the "appendVisitorIDsTo" app SDK method to append the "adobe_mc" parameter to the URL of web view page loads. However, there have been instances where we launched new web view navigations in the app and missed implementing appendVisitorIDsTo, while all existing web view navigations have this method properly implemented.appendVisitorIDsTo doc -- https://experienceleague.adobe.com/en/docs/id-service/using/id-service-api/methods/appendvisitorid Our observation is that when a user installs the app and accesses any web view that doesn't have the "adobe_mc" parameters appended, a new ECID is created for that visitor on the web view. This new ECID persists across all subsequent web view navigations regardless of different ECIDs being passed in the "adobe_mc" parameter, resulting in inflated visitor and visit co

Hello, I used to use the Adobe analytics API 2.0 via Swagger or postman but this has recently become impossible. And the message displayed seems to be linked to a billing problem rather than a technical bug... Have you ever had this problem? It's suggesting a free trial...

Hi everyone, I was wondering if anyone had experience using the extensions in the title. In particular, I needed to understand for: GoogleAds 1) First of all Why I can't find the standard https://experienceleague.adobe.com/en/docs/experience-platform/destinations/catalog/advertising/google-ads-extension in my catalog? I has had to install the Google Global Site Tag, less documented... 2) With this extension is it necessary to implement client-side logic for data propagation to GADS or are server-side configurations enough? and if so, does anyone know which configuration works? I've tried dozens in vain... For Pinterest and Bing I haven't ventured yet, perplexed by the results of this integration...but if anyone has any suggestions, they are welcome. Thanks in advance, good work

I'm not finding any great documentation online and the interface doesn't have a definition either. Does anyone know of any technical documentation to explain how the Crash metric works? Or can you explain yourself? Laymen's terms appreciated if possible. Thanks!

var iframe = document.querySelector('iframe[src*="vimeo"]');var player = new Vimeo.Player(iframe);var cent, counter25 = 1, counter75 = 1, retVal, flag = 0;var isVideoEnded = false;player.on('timeupdate', function(data) {cent = data.percent * 100;isVideoEnded = false;if (0.04 <= data.seconds && data.seconds <= 0.90 && flag === 0) {flag = 1;_satellite.track("video_start");}if (Math.floor(cent) === 25 && counter25 === 1) {_satellite.track("video_25");counter25++;retVal = true;}if (Math.floor(cent) === 50 && counter25 === 2) {_satellite.track("video_50");counter25++;}if (Math.floor(cent) === 75 && counter75 === 1) {_satellite.track("video_75");counter75++;}if (data.seconds === data.duration) {_satellite.track("video_end");counter25 = 1;counter75 = 1;isVideoEnded = true;}});player.on('pause', function(data) {if (!isVideoEnded) {_satellite.track("video_pause");}});I am using this code in my window loaded code. Now I am trying t convert this code

I have a Report Builder report that runs as expected when I update the data blocks manually, but if I try to schedule it, it fails. I'm looking for a reason why it failed, but "Error: 8018" is the only thing I see. Nothing complex about the report. Can anyone help? Thanks. 

Hi Team, There is a requirement regarding Launch implementation, It is to fire an 'eventx' after every session is complete for a visitor. The above eventx should only fire when :a) event : userUpdateand b) user is logged inAnd we need to fire this event consistently after every session provided the user is logged in. It should not be the case, that a guest user has this event fire though it wont, because condition a needs to true.I was trying for the Max frequency condition but I read in the below link,  it has certain conditions to be fulfilled regarding visitor session count and max freq session count, how basically it works?  https://experienceleague.adobe.com/en/docs/experience-platform/tags/extensions/client/core/overviewPlease add in your thoughts how we can achieve the above requirement.Thanks in Advance.

  Introduction For organizations using Adobe Customer Journey Analytics (CJA), understanding the data processing and ingestion process from the Adobe Experience Platform (AEP) data lake to CJA is crucial. This is because CJA does not work with a fixed data size, which means Adobe cannot provide a standard time frame for data ingestion. As a result, users should understand the factors that can affect the queue status, data processing speed, and any deviations from the expected timeline. With this knowledge, CJA users can plan their data management strategies more effectively, ensuring efficient data ingestion and maximizing the benefits of using CJA. Note: The latest ingestion prioritization and latency guidance for CJA as of June 12th, 2024, is as follows: Ingestion Prioritization and Latency You can now ingest your events data in Customer Journey Analytics within 90 minutes (SLT), regardless of whether the data is 24 hours, 48 hours, or 7 days old. Note that this capability

Hello.As per the question topic.We have examples of individuals who have been sent emails from Adobe campaign, the Adobe campaign tracking log shows email opens and clicks, with the click being a URL/Link to a page on our website. We have Adobe analytics etc running on our website yet the data feeds we get back from Adobe Analytics DO NOT contain the traffic for the individual that clicked on the link and in theory went to our website. Can the user put anything in place to stop the traffic/data being scraped ? ThanksLee

Adobe has just introduced a powerful new capability for marketers: the Adobe Data Insights Agent. This innovation is designed to democratize access to journey performance trends, enabling every marketer, not just analysts, to make data-driven decisions with ease. What’s New? Data Insights Agent not only simplifies insight generation for marketers by enabling them to query data and generate visualizations from scratch using natural language, but it also enables them to make changes to previously built visualizations and to build analyses iteratively. With Data Insights Agent, organizations can: Empower marketers to self-serve data for informed decision-making — ensuring marketing efforts are tested, optimized, and accessible to all. Uncover intricate patterns and insights human analysts might overlook, maximizing customer experience and business profitability. Eliminate bottlenecks by reducing dependencies across teams and allowing data analysts to focus on deeper and more strateg

Hi TeamI am using CJAI have created some filters i.e. filter1                                          Events  event action       Select 1                                        Select 2       Select 3       Select 4       ..Till Select 7filter2     event action      Same as filter 1./till filter4Is there any possible way, I can get the average of all the filtersi.e. filter 1 (Select 1) + filter 2 (Select 3) + filter 4 (Select 5) | filter 3 (Not Selected anything)Then based on User_id, I can average it (1 + 3 + 5)/3 = 3

Hello all, I am doing use of the next library cjapy, which is a wrapper from Adobe API. In particular is this library : https://github.com/pitchmuc/cjapy  The problem that I have is that sometimes, when I call to the function myReport = cja.getReport(path), the following error appears: Traceback (most recent call last):File "/home/voc_analitica/rluque/indicadores_ratios_v3/main_v1.0.6.py", line 1478, in <module>main()File "/home/voc_analitica/rluque/indicadores_ratios_v3/main_v1.0.6.py", line 671, in maindf1 = df_paginas_vistas(cja, file_name, columnas_reporte, fecha_1_str, fecha_2_str, fecha_3_str, fecha_4_str, fecha_5_str, fecha_6_str, segmento_pais)File "/home/voc_analitica/rluque/indicadores_ratios_v3/main_v1.0.6.py", line 121, in df_paginas_vistasdf_final_actual = ejecutar_reporte(cja, path, columnas_reporte, fecha_1_str)File "/home/voc_analitica/rluque/indicadores_ratios_v3/main_v1.0.6.py", line 48, in ejecutar_reportemyReport = cja.getReport(p

Hi Team,We've created an AB test activity for the mobile app and we have selected a specfic report suit other than our web one. We've observed following issue when we click the "view in analytic" link in the Adobe target report section to check A4T report. This works fine on those activities which are created for the web. Is that we are missing anything on the app sepecfic report suit. How can I fix this?Looking for any help.

Hi there, We have a connection built in CJA with some datasets linked to it: Dataset 1 - Person ID: identityMap<primary>Dataset 2 - Person ID: identityMap<ECID> With this configuration, we found out we are breaking sessions in dataset 1 when users log in and Email is considered as Primary ID. In order to solve this, we changed the Person ID to identityMap<ECID> in dataset 1 and requested a backfill. However, we still have Emails as Person IDs in the events. What was wrong? Is not Backfill functionality supposed to overwrite Person ID configuration? How could we solve this issue? Best regards,

We want to cut down on the number of hits we're sending to AA but don't want to limit the tracking by geogrpahy. Ideally we'd be able to track some like 1 in 2 visits and if possible adjust that if we decide to only track every third visit. Think maybe we can use "Max Frequency" but not totally sure this would meet our needs. Any help and all creative ideas appriciated. 

Hello.  I'm trying to create a segment for new users to our site however it keeps pulling in existing users.  This is the segment I am using, which I got from an Adobe tutorial.  I'd like to see all new users within the last 30 days regardless of whether they have only visited once or more.  Any help would be much appreciated.