Adobe Analytics

Hi, Does anyone have clarifying info on the ingestion limit entitlement for CJA packages? Does ingestion include events that were added then deleted in both CJA Connections, but also in AEP data lake (e.g. file reinstatements)? I understand that the rolling window only affects usage, not actual ingestion. What else does ingestion include? Thanks

Hello Team,We are in the process of automating data imports into Adobe Analytics from Google BigQuery, and have identified the Data Sources API as the best method for this integration.However, we’ve encountered a few questions during implementation:When creating a Data Source via the Adobe Analytics UI, we’re limited to a smaller set of columns compared to what we need for our use case (we have more than 4 variable and 4 metrics).Is there a way to create or customize a Data Source schema (with additional columns or custom eVars/props/events) directly via the API?If so, could you please share the relevant API documentation or sample request structure?Regarding authentication and permissions, does the credential (API integration or Adobe I/O project) used to access the Data Sources API require any specific permissions or product profile privileges (e.g., Admin rights or specific role access in Adobe Analytics)?We’d appreciate your guidance on the correct approach or any documentation/exa

Hi Team,      I am trying to read the media.ping calls implemented through heart beat mechanism in Web SDK and I want to retrieve the values in event forwarding while I am trying to retrieve I am getting the previous interact call events and media.ping event is not at all triggered . Can you please provide me what would be blocking the ping events

Introduction A common challenge for organizations implementing Adobe Customer Journey Analytics (CJA) is delivering relevant data to different teams. Marketing teams need campaign performance metrics, product teams require user behavior insights, and customer experience teams focus on journey analysis and friction points. One solution lies in strategically configuring Data Views as the flexible layer that transforms raw data into actionable business insights. Data Views in CJA allow administrators to curate data presentations for specific business contexts without duplicating underlying data or creating siloed analytics implementations. By configuring Data Views for different stakeholder needs, organizations maximize their analytics investment while ensuring each team accesses insights tailored to their requirements. These Data Views also power multiple egress destinations beyond Analysis Workspace, including Excel Report Builder, Adobe Analytics Mobile App, BI SQL extension, Full T

Introduction As an Adobe Customer Journey Analytics (CJA) product administrator, you might wonder how much Adobe Experience Platform (AEP) knowledge your role requires. While CJA is built on AEP, becoming an AEP expert isn't necessary to administer CJA effectively. However, understanding key AEP concepts can significantly enhance your CJA experience and overall capabilities across the Adobe Experience Cloud (AEC). CJA and AEP share a deeply interconnected, mutually beneficial relationship. CJA harnesses AEP's data management and integration capabilities to provide comprehensive analysis. This synergy offers a holistic view of customer interactions across various touchpoints, platforms, and channels. By leveraging AEP's data foundation, CJA delivers a more nuanced and accurate picture of customer behavior and preferences. Given this close connection, it's also vital for CJA administrators to maintain strong communication with their AEP counterparts. Regular collaboration ensures that

Hello! I have created a request in Datawarehouse where I extract page views, visits, etc along with different dimension: hostname, tracking code and month. I need monthly granularity, I have checked that in my request, but I also have added month dimension. Now, the report comes with 2 date columns instead of 1: month which comes from the granularity and date range month which comes from the month dimension. As an alternative, I have excluded month dimension and only keep the monthly granularity, but my report is scheduled on a weekly basis and I will only have the 1st of the month for my reports: 1/1/2025, 1/2/2025, 1/3/2025 and so on. The date range month will help me to have the beginning of each week in the report and that will help me further in my reporting. Does anyone know how I can only keep the date range month, meaning the month dimension, but also having the granularity monthly, but without this column that comes with it?  

Hi All, In anticipation of the global rollout of Google's AI Mode, we'd like to understand how Adobe Analytics typically handles it, and whether we should set up custom rules.Attribution and Channel Classification How does traffic (entries and visits) from AI Mode currently show up in Marketing Channels? Does it appear as SEO, Direct or Other Referring Domains?are there consistent referring domains, query parameters or HTTP header patterns that help distinguish AI mode traffic from traditional Google search?Marketing Channel Rules Should we proactively set up or adjust our Marketing Channel processing rules to accurately capture and classify AI Mode traffic?If so, what rules would you suggest?Segmentation and ReportingFor reporting, how would you recommend segmenting AI Mode traffic vs regular Google search?Do you treat AI mode as a separate channel source altogether?Any other useful tips or tricks are greatly appreciated Thanks!

Challenges in the World of AnalyticsIn a world with rising access to and volume of data, knowing how to manage and process it effectively becomes a competitive advantage for organizations. While most companies say that their usage of and investments in analytics and AI is on the rise (McKinsey 2024), the capabilities of business are mostly not equipped to handle the complexity that comes with it. Two main causes for the lack of these capabilities are: 1. missing data and AI literacy (Data Camp 2024) of non-data/AI oriented employees, and 2. the lack of skilled specialists, e.g. data analyst or data scientists, who can compensate for the lack of organizational data and AI literacy (PwC 2024).  For leaders trying to bring their digital products to market, validate product/market fit and gather millions of data points, these limitations are a serious risk. It leads to a situation in which companies can’t get the insights from their data and cannot train models for their purposes as f

If you are a data analyst and your business uses adobe analytics as the web analytics tool. You will often come across a use case where you need to send raw data or hit-level data to either S3, GCP, or Azure Aws. You need to run a lot of queries to validate raw hit-level data or visualize the data or to combine this data with other data sourcesHere are sample SQL queries you can bookmark to run queries for different use cases.Note: Hits normally excluded from Adobe Analytics are included in data feeds. Use exclude_hit = 0 to remove excluded hits from queries on raw data. Data sourced data are also included in data feeds. If you want to exclude data sources, exclude all rows with hit_source = 5,7,8,91.  To Calculate the Bounce rate  SELECT (COUNT (( CONCAT (post_visid_high, post_visid_low, visit_num, visit_start_time_gmt)) WHERE visit_page_num = '1')/ (COUNT(( CONCAT(post_visid_high, post_visid_low, visit_num, visit_start_time_gmt)) * 100) as bounce_rate FR

I think we all have plenty of these!  I want to hear from you all!  Maybe Adobe product will take notice and put in fixes for some of them.  Or worst case, at least we learn that others are in the same boat and can commiserate, or maybe we can offer each other suggestions!My biggest complaint is how awful Adobe analytics does on a mobile device.  Not talking about the mobile reports - those work great!  But if I try to open Adobe admin or workspace on a mobile device - terrible interface.  I would really love to be able to click on an anomaly alert in my inbox and be able to see the graph straight from that click.  It's impossible right now to tell how the data looks.

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?  

We are beyond excited to celebrate a true legend in the Adobe Analytics community -  @mandygeorge, who has been named the inaugural inductee into the Adobe Analytics Rockstar Hall of Fame!  Mandy’s journey with Adobe Analytics has been nothing short of remarkable - from Rockstar attendee to Rockstar on stage, and now, a Rockstar Hall of Fame honoree. Mandy exemplifies what it means to not only master Adobe Analytics, but to share that mastery in innovative, inspiring, and deeply useful ways for the entire community. Learn more about the award here: Adobe Analytics Rockstar Hall of Fame   What Is the Adobe Analytics Rockstar Hall of Fame? Launched as an extension of the Adobe Analytics Rockstar program, the Rockstar Hall of Fame recognizes the best of the best individuals who’ve made an enduring impact on the Adobe Analytics ecosystem through years of creativity, contribution, and community leadership. While Rockstar sessions highlight the year’s top tips, the R

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

Introduction When it comes to integrating your existing Adobe Analytics Classifications to Customer Journey Analytics (CJA), you have two options to consider. The first option is to use the Adobe Analytics Classifications Data source connection to automate the migration of your classifications to CJA. By utilizing the source connector, you can connect your existing classifications from Adobe Analytics and import them automatically into Adobe Experience Platform (AEP), and ultimately into CJA. This option can save you time and effort, particularly if you have a significant number of classifications to migrate. Please note that you need to be an Adobe Analytics Product Admin to administer the Analytics Source Connector in AEP. The second option is to recreate the Adobe Analytics classifications in CJA. This involves going through each classification and recreating them within the CJA platform as a new dedicated lookup dataset. While this option may require more time and effort, it all

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