Adobe Analytics

After initially attempting to used the data sync to get Adobe Analytics data into Snowflake, we are now using the Adobe Data Warehouse (the row count difference was insane because you cannot aggregate and retain hit ID).  Using the Data Warehouse, I'm seeing that when looking at the same page and same date range, I see different visit totals for a given URL or site or similar type of dimension.   It seems that in all cases, there is almost x2 the volume of visits in the Adobe Data warehouse compared to what I see for the same in Adobe workspace.             Is there a way I should be calculating visits on the Snowflake side?  This way, when I create a view, and visualize in Tableau, I will see visit data consistent to what I see in Workspace.   (if you are asking why we are bringing this into snowflake and visualizing in Tableau.  We are going to join this data into our backend lead-funnel data so that

The user flow I have is as follows: CTA is displayed on page > user clicks CTA> directed to privacy agreement page > agrees to the terms and conditions > directed to experience. I do not have tracking for the last part of this journey, only up until they click agree. Furthermore, once they have clicked 'agree' once, they will never need to do that again, so the next time they click the CTA they are directed straight to the experience. Now I am trying to get an understanding of how many users are getting to the experience on a weekly basis. But, I can't quite figure out how to design this segment. It won't just be clicks on the CTA, because that misses people who clicked on the CTA but didn't agree to the privacy rules. It also won't be people who clicked the CTA AND agreed to the privacy terms, because that misses out people who have previously agreed and just get directed straight ahead to the experience. So, given my two components here:1) Tr

The data elements are being populated. correctly "_satellite.getVar('Page: Hierarchy Level 1') = index" and error are triggering in console related to data elements why? I got this error message:Failed to execute data element module gcoe-adobe-client-data-layer/src/lib/dataElements/datalayerComputedState.js for data element Page: Hierarchy Level 1. t.getState is not a functionTypeError: t.getState is not a functionPlease refer below screenshot.     

Hi All,On my client site adobe server calls are getting  failed when we refresh the page and when we interact on page.Its a single page application and having WED SDK implemented on it.Below are getting on consoleWhy i am getting this error and failed server calls? anything i misconfigured in launch or there is any other reason ?

New to Adobe and still trying to understand how eVars persist and what that means for your metrics. Suppose I have the following scenario: Search for "cats"Add a cat item to my cartSearch for "dogs"Purchase the cat item Would my search term revenue be attributed to cats since I purchased an item as a result of the "cats" search or attributed to "dogs" as my final search before purchase?

Hello, We have a client that wants to create a modal informing the current number of views in a product page. The idea is to create a sense of urgence and cause conversions. I.e. "x clients are currently seeing this product". Is it possible to capture this metric via Adobe Analytics API and then store it in the local storage? We thought of using it to build an activity in Adobe Target to fulfill this requirement. Any ideas?Thanks in advance.

I'm trying to match up a Data Warehouse report to an Adobe Analytics Workspace, but the values aren't matching. I'm using 5 dimensions and 1 metric. When I filter for the same Dimensions on both, the Data Warehouse reports back a much higher number (2x-5x). I'm assuming that the Data Warehouse data hasn't been deduplicated but the Workspace data has. Is this the case? Is there a way I can dedupe the data before pulling it? 

I am running an experiment and would like to understand how the beginning user journey may impact choices and time spent at the final point in the user journey.Specifically, I would like to understand exit rates on the final page of the user journey, the average time spent on the final page, and also a fall-out view showing where my users go to after the final page. In my scenario, I have 2 different starting pages, but they all lead to the same final page as the user goes through the flow.I was wondering if the following logic would get me what I am after.First, I create a fall-out with the specified journey I am interested in:Journey 1:custom_link = Experience_A --> custom_link = CTA_1 --> page_url = www.finalpage.comJourney 2:custom_link = Experience_B --> custom_link = CTA_1 --> page_url = www.finalpage.com If I create two segments for these two journeys, and apply the metrics: Exit rate and Time Spent per Visit, will that give me the exit

Hi everyone,on the pages linked to the partner program  a concern has been raised about the inconsistency of the valorization of the variable v84 Partner Name.The v84 should be valued with the name of the partner to which the page refers but the number of page views is different whether we consider the page name once or the v84. (8% discrepancy).The aim would be to find out which of the two tables is reliable (or more reliable) and understand possible reasons of this discrepancy. Suggestions?Thanks

So I made this post a few days ago, but for some reason it was marked as spam. Please do not remove this mods (and let me know if I am doing something wrong). The flow, when working correctly is intended as follows:User sees CTA > Clicks CTA > Directed to a privacy consent page > Agrees to consent by clicking a button > Directed to experience. The first flow I am trying to design is when users encounter an error during the consent page loading, and during when they agree to the consent.These errors are broadly categorised as by an evar called Evar1: consent_start_error and consent_submit_error. If there is no error then Evar1 takes the value of "consent_success".The specific type of error that they face is identified by another evar called Evar2: error300, error350, error400, + n more valuesconsent_start_error only takes the value of error350, whereas consent_submit_error can take either of the two errors - error300 and error350.

Can you please share the exact steps to capture the USER IP (visitor IP) in Adobe Analytics variables - eVar or prop?

Hi,We would like to understand the impact on removing the analytics cookie for our website on the reporting side.

I want to implement realtime clickstream data from adobe analytics to aws using kinesis how can i get this data by sencod by second in real time from adobe analytics adobe analytics is already implemented on website.

Hi!We are trying to give our stakeholders more details on our referrals to the sites.One of the details we would like to offer is a break out of Google Search vs Google Discover.Is there a way of discerning this through Adobe Analytics?Thank you

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I'm trying to do a quick check between freeform and analytics for what in analytics is customer profile -> time zones report. For some reason ours looks off by 1 hour and I wanted to look a freeform. No Time Zone report (also not available in Ad-Hoc) and try making a segment with time zone that doesn't work at all either.Is time zone getting depreciated? (the map isn't available anymore either in analytics)but it is missing from free form

If we hide any variable in Adobe Analytics, will its instances metric still be available for use in workspace or it will also get concealed with it?

I wonder are there any updates on these 2 metrics? I have checked the data but it is shown increasingly from what I have tracked.

I have created a metric which is suppose to count session id on certain conditionIn the attached screenshots, metric Def -- The definition of metric count, i.e. count of session id's (Excluding the one's ending with 99999)but when i export them in csv, the payment instance count in column B, row number 13, is incorrect. As when i count the session id's individually the correct count comes out to be as mentioned in row 10.Please help me  TIA 🙂

We are integrating adobe analytics to power BI and found that default Adobe Connector does not support classification parameter in Power BI. Do you guys have plan in including this feature ? 

Hi there, Facing issues in connecting Power Bi with Adobe analytics? Let's discuss various issues and root causes so that we can help our peers to resolve them when they come across similar issues in the thread. 

I was trying to analyze the pages that led to a particular page of my client's website and for that I used the "Previous Page" dimension, but then the first result showed the same url I am trying to analyze. Any explanations for that? The only thing that comes to my mind is that it's the result of users directly typing the url or maybe page reloads after the session expires. Any recommendations?