Adobe Analytics

ProblemAdobe Analytics Workspace currently allows link sharing for projects but not for Adobe or company templates. While projects themselves can be shared through links, templates can only be shared by manually saving a copy first or asking others to locate it within the template menu. This makes it hard to promote standardized reports or guide users toward the correct starting point.Templates are meant to make analysis easier, but without a simple method to point others to the right one, they often go unused. Proposed SolutionEnable templates to generate shareable, permission-aware URLs, similar to existing project links. Clicking the link should open the template directly or bring the user to it in the template gallery. BenefitsFaster Onboarding & TrainingTeams can send a direct link to the exact template a new user should start from.This reduces time spent navigating long template lists or hunting for the correct one.Improved Consistency & GovernanceOrganizations often rely

Join us for the second thrilling instalment in our Adobe Analytics Certification Masterclass series focused exclusively on the Adobe Customer Journey Analytics Business Practitioner Professional (AD0-E608) certificationThis hands-on workshop, guided by seasoned Adobe Analytics Champions, offers you the chance to get insider insights on the latest exam structure, key topic areas, real-world use cases, and expert tips to help you prepare efficiently and effectively for certification.Whether you’re just beginning your certification journey or looking to renew your credentials, this masterclass will equip you with the knowledge and confidence you need to succeed. Don't miss this opportunity to enhance your skills and connect with fellow professionals.💡 Bonus: We’re giving away a limited number of free Adobe Certification Vouchers to lucky participants!📅 Date & Time:29 January, 2026 11:00 AM GMT🏢 Key Takeaways: Understand the AD0-E608 exam structure, topics, and weightage Practice

We’re thrilled to launch the Adobe Certification Masterclass Series — your go-to learning journey for mastering Adobe exams with confidence! Join us for an interactive session where we’ll dive deep into the Adobe Analytics Business Practitioner Professional (AD0-E212) certification. You will get insider insights on the latest exam structure, key topic areas, real-world use cases, and expert tips to help you prepare efficiently and avoid common pitfalls. Whether you’re just beginning your certification journey or looking to renew your credentials, this masterclass will equip you with the knowledge and confidence you need to succeed. 💡 Bonus: We’re giving away a limited number of free Adobe Certification Vouchers to lucky participants! 📅 Date & Time:25 November, 2025 4:00 PM GMT 🏢 Key Takeaways: Understand the AD0-E212 exam structure, topics, and weightage Practice with sample questions and scenario examples Learn common mistakes and exam tips from real

If you’re planning to migrate Adobe Analytics and Adobe Target to Edge Data Collection, you may be wondering how this impacts your Analytics for Target (A4T) integration. A4T provides valuable insights into Target activities with Analytics data without duplicating data collection efforts between services. Preserving this integration is critical to maintaining accurate reporting during your Web SDK migration. This blog covers key considerations of A4T with Web SDK, including the importance of migrating both libraries together, validation steps, expected reporting variances, and common pitfalls to avoid. Migrate Libraries Together With Web SDK, A4T stitching is handled automatically behind the scenes by Konductor, the orchestration layer in Edge Network. The big catch is that both systems (Analytics and Target) need to be running on Web SDK for A4T to function. This means AppMeasurement.js and at.js need to be migrated at the same time, at least on a page-by-page basis. While legacy libr

Introduction I've worked with hundreds of Adobe’s clients over the years and have analyzed just as many different data collection setups.  One constant theme in my analysis is that every client has a unique way of deploying (what is essentially) the same data collection solution.  If a client's solution is doing exactly what it is supposed to do, then I won't make much of an effort to “rock the boat” in terms of their implementation.  However, I will intervene and try to provide guidance to those clients that either struggle to address their implementation pain points or would be open to making changes to help bring their already-solid implementation up a notch in quality.   During these engagements, I bring as much detail and organization to my solutions as possible&nb

  Introduction In this Experience League blog post, we'll review the Adobe Experience Platform (AEP) to Customer Journey Analytics (CJA) foundation and explore key features of Analysis Workspace within CJA. We'll examine how CJA enhances your analytical approach, offering valuable insights into customer behavior across various touchpoints. This crash course will demonstrate how Analysis Workspace deepens your understanding of the customer journey. You'll learn how its capabilities and report-time data processing empower analysts to uncover patterns, identify key trends, and make data-informed decisions. These insights can significantly influence your business performance reviews and shape your strategies. This guide builds upon and expands several existing Experience League resources focused on Analysis Workspace in CJA. These resources provide a solid foundation for understanding and leveraging CJA's powerful analytical capabilities. Key resources include: Navigating the Learn

Configuration Options One of the questions that often comes up with the Media migrations to Edge is, “what are the configuration settings I need?” The unspoked part of that question is, “We used to have so many, and now you’re only giving us a datastream ID” Indeed, let’s talk about Edge vs non-Edge Media SDK implementations.   In the non-Edge implementation, you had to add a few configuration parameters to the implementation itself: RSID (report suite ID) HB End point Analytics end point Org ID/publisher Channel, sdkVersion, playerName SSL flag AudienceManager and target settings, as applicable App Environment ID (if applicable) In the Edge implementation, the development team will only be concerned with: Datastream ID (aka Config ID) Edge End point (maybe; aka Domain Name) App Environment ID (if applicable) In an Edge implementation, all data, including Media data, is sent to one unified end point so you no longer need to provide a separate video/Heartbeat server. Rest assu

Overview The Problem Training a model in Adobe Mix Modeler on incomplete data can lead to unreliable model results. The Solution First run your model on the default training window Review the harmonized data to identify a valid training window – i.e., the last date when all Marketing and Conversion data has been ingested. After your model has run successfully, retrain it on the valid training window. The Problem In a perfect world all marketing and conversion data would flow directly into AEP in real time and all datasets would be up to date anytime you want to run a new model. In reality, that is rarely, if ever, the case. Data is typically being ingested at different intervals. Some datasets may take more time than others to become available. And sometimes, there are issues that delay data from being ingested. Training a model on incomplete data can result in unreliable model results. By default, new models train on a period immediately preceding the most recent conversion. So if y

I just love a good Paradox.  Currently, Adobe gives us the following warning in the Classification Rule builder: However, when you go to view the following documentation in Experience League, you get the following message:http://experienceleague.adobe.com/en/docs/analytics/components/classifications/sets/manage/rules To be perfectly honest, the newer process is not nearly as intuitive, so I have my reservations about how this will work moving forward.  Also, there are no video tutorials I can easily find related to the newer process.  Again, IMHO, if this process isn't fully baked, then it shouldn't be out here yet.Can we please get a good, clean, fully-baked process out here, with full tutorials to help those of us who like easy pictures AND videos to help; and. then can we actually put the process in place?  It's not even supposed to happen until August 2026!  

  Introduction Following my blog post on tracking AI and Gen AI-generated traffic in Customer Journey Analytics (CJA), I want to share an update on OpenAI's Atlas browser and explain what this emerging technology means for your CJA implementation and analytics strategy. We're at a turning point in web browsing history. Atlas joins a growing ecosystem that includes Perplexity's Comet and The Browser Company's Dia, each offering AI-native browsing experiences that reimagine how we interact with the web. These tools represent a shift from passive browsing to active AI assistance, where agents work to understand context, execute tasks, and navigate digital experiences on our behalf. However, Atlas faces significant adoption barriers. Browser switching costs remain substantial. Users have years of accumulated preferences, bookmarks, extensions, and muscle memory invested in their current browsers. Chrome alone commands over 65% market share, with deeply entrenched user habits. Convin

In this post, I'm going to provide an Adobe Analytics implementation-based solution that will allow you to apply a non-standard attribution (i.e., Attribution IQ-based) model to common metrics like Page Views, Visits, and Occurrences.  The ProblemTo demonstrate the need for this solution, let me start off by creating a simple Marketing Channel report.    I have added some common metrics to this report, including "Visits", "Page Views", "Orders", and "Revenue".  The result – using real-world data in this example – looks something like this:If I wanted to apply a non-standard attribution model – say, "Last Touch with a Lookback Window of 30 Days", for instance – to all of these metrics, I would be mostly out of luck.  Applying a non-standard model to the Orders and Revenue metrics works just fine, as the following result shows……but trying to apply the model to either the Visits or Page Views metric presents an unwelcome surprise: when I'm presented with the

Introduction As artificial intelligence technologies continue to gain widespread adoption across various digital platforms and channels, developing an understanding of how Large Language Model (LLM) and AI-generated traffic influences and shapes your analytics data has evolved from being merely important to absolutely essential. Adobe Customer Journey Analytics (CJA) provides capabilities designed specifically to help organizations identify, segment, and analyze this unique category of traffic. These powerful features enable data professionals to not only maintain the highest standards of data integrity in an increasingly AI-driven digital landscape, but also to extract valuable, actionable insights into the specific ways that LLMs and AI systems interact with and navigate through your digital properties and assets. In this guide, we will explore approaches to handling LLM and AI traffic in CJA using derived fields and CJA reporting methods, covering implementation across web, app, a

If a workspace project has been permanently deleted, how can it be possible to bring it back?? The truth is that when you hit 'delete' Adobe doesn't seem to actually delete the workspace project(!) - they just remove all links to the workspace making it impossible to navigate to.   So, if you know how to navigate back to the workspace the good news is, it's still sitting there waiting for you. How do I navigate back to the workspace? The URL of workspace projects follow a standard format.  While you are in a workspace project you can see a long alpha-numeric string at the end of the URL (Highlighted in yellow below). This is the unique ID for the project you are viewing.  If you know what the project ID is for the project you want to restore, you can simply: navigate to one of your other projects replace the project ID in the URL and load the page (Your deleted project will appear) Save the project - your project has now been restored! But how on earth am I goin

As a power user, you probably get a lot of questions—some multiple times. Here is a FAQ crowdsourced by the Adobe Analytics community to help save you time. Instead of taking the time to answer the same questions repeatedly, you can point your users to this FAQ. Feel free to send them the link, copy and paste answers, and of course, contribute your FAQs to help the rest of the community.To contribute your FAQ, just leave the information in a comment below, and then it will be reviewed and added to the table.    Why am I seeing discrepancies when summing visits and unique visitors?  It is important to be very careful when summing visits and unique visitors. While doing this - in excel, calculated metrics, or totals in Workspace - keep in mind that  - One visit can consist of multiple pages.  Example 1:  The Warning: A report with Pages as the dimension and Visits as the metric should not be summed.  Why: This is because 1 visit could include the home

  Event Details:Thursday, October 16th9:00am PT   Discover how Customer Journey Analytics B2B Edition empowers organizations to transform complex data into strategic decisions that drive pipeline growth and customer engagement. In this hands-on Experience League Live session, you’ll gain access to a live demo environment and follow along with real-world B2B use cases. Learn how to perform cross-channel analysis at scale—across individuals, buying groups, accounts, and opportunities—to uncover insights that fuel smarter marketing, sales alignment, and revenue acceleration. Whether you're focused on optimizing customer experiences, expanding your sales pipeline, or driving measurable growth across the buyer’s journey, this session will equip you with the tools and strategies to make data work harder for your business. Ask questions live and get expert answers in real time.   Register now!

I was chatting with a coworker who is not an Analytics user, and referred to it as AA, the following discussion resulted in me asking ChatGPT to re-write the serenity prayer based on Adobe and Adobe Analytics. This is what it gave me: Adobe grant me the insightto track what I can measure, the patience to ignore what can't be tagged,and the wisdom to know the difference. Empower my dashboards with clarity,my segments with purpose, and my reports with truth. Help me to optimize today's campaigns,trust yesterday's data,and build better journeys for tomorrow. For thine is the workspace,the visualization,and the attribution model -forever actionable.Amen. 😀Enjoy your day, the rest of your week, and the remainder of the year! 

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

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.

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

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

Applications frequently face scenarios where the single standard datastream setup isn't sufficient to meet specific use case requirements. Whether it's refining data consumption, integrating custom processing logic within mobile apps, or managing the mobile app code release cycle, adjustments are often necessary. This discussion explores methods for modifying and overriding default datastream configurations by leveraging Data Collection (Tags), eliminating reliance on the mobile app code push cycle. As a result, updates to the datastream override can be implemented rapidly without going through the mobile app release process. The key benefit is the ability to configure datastream overrides at the Data Collection (Tags) level, rather than within the mobile app itself.  Additional Use Cases: There are various scenarios where your app may require adjustments to its datastream or dataset override configuration. In this blog, I will highlight a few key use cases to demonstrate when and

In our last Edge Data Collection Concepts blog, we introduced the concept of the data object as a flexible and schema-free method to collect data for Adobe Experience Cloud solutions. In this post, we'll dive deeper into how you can use the data object to implement Adobe Analytics. Whether you're migrating from AppMeasurement.js or starting fresh with Web SDK, the data object offers a straightforward method of implementation.   When configured as discussed below, the data object will contain values immediately recognizable to Analytics and to implementers of Analytics. If you previously set s.eVar1 to a value of "foo", setting data.__adobe.analytics.eVar1 to "foo" achieves the same result and can be done very simply in the Tags interface similarly to how those values can be set when using AppMeasurement. Implementing the Data Object The data object starts as an empty variable, and we can build up and clear values with each of our rules in a way that is similar to how we set