Adobe Analytics

In case you missed it, the North America Adobe Analytics Champion office Hours were on February 8th.  The hosts were Andy Lundsford, Meghan Powers, Christel Guidon, Jason Egan and Achaia Walton. They covered the skills that an analyst should learn now and in the next five years. There were a variety of answers from the Champions, touching on language and technology. They also talked about the persistence of the ECID in CJA compared to Adobe Analytics. One suggestion was to bring your own ID, especially with the deprecation of third-party cookies. The Champs discussed the best use for flow reports, including some tips and tricks. Another question was about the use of a connector to view app and web in CJA using AEP. After a lively discussion, they shared an Experience League article that is a great walkthrough of how to set one up step-by-step from report suite data. Thank you so much for your participation! Watch the entire event and past events on The Adobe An

    Hello Adobe Analytics Community! Adobe Analytics Community Q&A Coffee Breaks: A program designed to keep you connected to some of the very best Analytics resources out there: namely, the great minds behind Adobe Analytics! Connect with our experts to discover a broader perspective around solutions to your questions ~ and since the conversation is via chat over an Adobe Analytics Community Discussion thread, your questions and their solutions will stick around in the Community to help others with their similar questions, and vice versa  This list will be updated over time, so be sure to bookmark it and check back to review the latest Adobe Analytics Community Q&A Coffee Break Discussion Threads (newest to oldest) 😊    2024 April 23, 2024 - Eric Matisoff, Adobe, Principal Evangelist, Analytics & Data Science February 28, 2024 - Analytics Champions Mandy George, Christel Guidon, Meghan Powers, and Achia

Hi Team,  Can anyone suggest me how to track end to end user journey tracking from adobe analytics for individual user. Required solution to show user journey on flow chart will be more helpful.

I need to have the Gender and Age dimensions in Adobe Analytics, any tips on how I can add them?

Context is necessary for understanding. Understanding is a process that encompasses three fundamental elements: content, context, and the vehicle. The content represents the information, ideas, or messages being conveyed—the core substance of the communication. However, the interpretation of this content is profoundly influenced by the context in which it is presented. Context involves the broader setting, encompassing social, cultural, and situational factors that contribute to the meaning of the message. A third element is the vehicle, which serves as the means through which the content is transmitted—whether it be spoken words, written text, Excel grids, visualizations, power points, or other forms. These elements significantly impact how your message is received and understood. In this discussion, we will look at one aspect of context that is specific to metrics. If you have been in marketing for any length of time, you know a number presented in isolation lacks meaning.

Adobe Analytics Community, are you diving into the functionalities of Adobe Analytics and looking for ways to level up your skills on the job? Look no further!  Sign up now to get tips and best practices delivered straight to your inbox or within Adobe Analytics.  It takes just 5 seconds to unlock a world of personalized guidance and exclusive learning events so you can skill up as you work.  Sign up to skill up Want more information? Review Personalized learning recommendations and promotions documentation. Explore sample Adobe Analytics learning content here.  

Introduction In Adobe Customer Journey Analytics (CJA), lookup datasets are essential for enhancing and expanding insights obtained from source datasets. This blog post provides an overview of three types of lookup datasets in CJA: Profile Lookup Dataset, Custom Record Lookup Dataset, and Standard (Adobe-Supplied) Lookup Dataset. Record lookups enrich dimensions, such as providing details about a SKU or a tracking code, while profile lookups enrich personIDs by providing CRM information about a customer. In the context of Adobe Analytics (AA), Classifications in AA correspond to record lookups in CJA, and Customer Attributes in AA correspond to profile lookup datasets in CJA. The post also highlights the distinctions between lookup datasets and the Data View configuration for derived fields and component settings. By exploring these concepts, we can gain a better understanding of the important role that CJA lookup datasets play in data analysis and interpretation. Profile Lookup Da

How can I implement Adobe analytics to track the number of visitors to each page in a Salesforce Experience Cloud site. There are a lot of docs for Google Analytics but nothing for Adobe analytics.  Is tracking Salesforce experience sites not possible in Adobe Analytics?

Watch the on-demand recording here.We all can agree that flawless customer journeys are at the heart of exceptional customer experiences and creating such experiences is much easier said than done. We often struggle to pinpoint exact journey friction points and fiddle with various metrics and visualizations to find them. The lead time to address these insights makes the process even more critical. This webinar aims at harboring Adobe Analytics data to its true potential to identify customer pain points and quickly address them. Join us to understand:Key concepts of ideal customer journeysHow to set up Adobe tagging to capture omnichannel user journeys (even with Adobe Analytics Standard license)Use Adobe plugins to capture crucial metrics during the flowUse calculated metrics and visualizations to understand journey falloutEngineer data to build advanced personalization strategies (including data science) Watch the recording featuring Adobe Analytics Champion, Isha Gupta, as she d

Introduction In our increasingly interconnected world, currency conversion plays a vital role in both finances and international business transactions. Whether you are a retail customer, ecommerce customer, or banking finances for your global business, understanding how currency conversion works for at reporting tools is important. In this comprehensive guide, we will explore how Adobe Customer Journey Analytics (CJA) helps with currency conversion for global transactions.     Currency Conversion Overview Currency conversion refers to the conversion of monetary values from one currency to another within the context of online transactions or metrics. This provides a clearer understanding of their digital performance across different markets. With CJA’s currency conversion feature, customers can effortlessly combine multiple currency metric values tailored to various countries and convert to a single unified currency metric. This not only streamlines the process but also eradi

Ever wonder what the order of processing is for Adobe Analytics? This question usually comes up when you're asking questions like: - Are the results of Processing Rules included in my Data Feeds output? (yes) - Can my Real Time Reports include evars? (no) - Does Data Warehouse have access to Classifications? (yes)   The following flow diagram is accurate as of August 2022. As new features are released that affect this diagram, we'll be sure to update this thread.     In addition to this diagram, we have some fantastic documentation on Processing in Adobe Analytics and Customer Journey Analytics over here: https://experienceleague.adobe.com/docs/analytics-platform/using/compare-aa-cja/cja-aa-comparison/data-processing-comparisons.html?lang=en

  Introduction Analysis Workspace is a powerful and versatile tool that allows organizations to comprehensively analyze and visually represent their data in a highly customizable and flexible environment. By using Customer Journey Analytics (CJA) Projects and Analysis Workspace, users can uncover valuable insights from their modeled datasets, enabling them to make informed decisions and drive customer journey success. With Analysis Workspace, businesses can directly access and interact with datasets sourced from Adobe Experience Platform (AEP). These datasets are ingested and processed through a Connection and then configured into a unifying Data View. It's important to note that there can be one to many Data Views per Connection, and the current CJA Guardrails allow for up to 50 unique Data Views for a given Connection. By utilizing these three levels of integrated platform solutions, businesses can gain a comprehensive understanding of their data in Analysis Workspace. This e

Introduction Understanding Data Views is pivotal to getting the most out of your Adobe Experience Platform analytics data. In this guide, we will discuss the basics of Customer Journey Analytics (CJA) data views setup and how they can benefit your company. In a follow-up blog post, "A Guide to Customer Journey Analytics Data View Component & Global Filter Settings”, we will continue building on this foundation. We will explore more advanced topics in further depth, such as configuring data view-level schema to granular components settings and data view-wide global filter settings. With this combined knowledge, you will be well-equipped to harness the full power of your Customer Journey Analytics data to drive your business forward. What are Data Views? A data view is a customized view of your Customer Journey Analytics data. It allows you to filter, compose, and organize your data to gain deeper insights into your company’s data and users. With data views, you can create custom v

Using the Day of Week dimension (OOTB) and Hour of Day dimension (OOTB), you can create a custom heat map to understand what times and days of the week generate the most significant amount of engagement or drive the highest number of conversions. While using the Day of Week (OOTB) and Hour of Day (OOTB) dimensions produces an insightful and granular seasonality analysis, this heat map is not limited to these dimensions. For instance, swapping out the Hour of Day dimension for the AM/PM (OOTB) dimension will produce a high-level, meaningful analysis.    When applying the conditional formatting setting, you can use auto-generated to automatically calculate the upper limit, midpoint, and lower limit based on the data, or you can define your own custom limits.  After selecting and applying the type of conditional formatting for your analysis, your reports will appear similar to the examples shown below:   Heat map to trend engagement         &nbsp

Value of Treemap Visualization Treemaps display hierarchical data as a set of nested rectangles in which the rectangles range in size from top left (largest) to bottom right (smallest). Use cases for Treemap visualizations include: Showing the proportions between each part and the whole. Showing the pattern of the measure distribution across each level of categories in the hierarchy. Showing attributes using size and color coding. Spotting patterns, outliers, most-important contributors, and exceptions. In Adobe Analytics, the smaller boxes may not have text to label the box; you must mouse over them to view the dimension item and the associated details.  When to Use Treemap Visualization While the bar stacked visualization can also show proportions between each part and the whole, similar to the Treemap visualization, these two display values differently. The bar-stacked visualization will visualize the highlighted dimension values in each column and compare the results. For in

  Welcome to the 7th edition of the Adobe Analytics Community Lens!   The Adobe Analytics Community Lens is your community bulletin board highlighting the latest updates from the Adobe Analytics Community in one place.In this edition, we are sharing updates from September to November 2023, including, the most viewed Adobe Analytics content on Experience League, as well as the latest product releases, upcoming and past learning opportunities, and a lot more!   Adobe Analytics Community Lens  📅EVENTS AND OPPORTUNITIES📅 Analytics User Group event: Adobe Analytics EMEA 2023 Q4 get together, December 13 This is a chance for us all to get together for an informal session to celebrate product releases and share our different experiences using Adobe Analytics throughout the year; positive or negative. We'll be breaking out into smaller breakout rooms, so if comfortable, please do come prepared with some thoughts from your own organisation to share. Hope to

                         

When it comes to analytics solutions, Adobe Analytics reigns supreme for a multitude of reasons:1. Unparalleled Data Analysis:Dive deep into your data with Adobe Analytics, boasting an extensive toolkit for comprehensive analysis. Gain profound insights into user behavior, empowering businesses to truly understand their audience.2. Real-Time Insights:Stay ahead of the game with Adobe Analytics' real-time reporting capabilities. Instant access to up-to-the-minute data is invaluable for businesses needing swift, data-driven decision-making.3. Cross-Channel Mastery:Excel in analyzing data across various channels, from websites to mobile apps and digital platforms. Adobe Analytics provides a panoramic view of customer interactions, enabling businesses to optimize their digital strategy seamlessly.4. Precision with Advanced Segmentation:Create highly targeted and customized segments effortlessly. Adobe Analytics offers advanced segmentation tools for precise analysis of specific customer gr

On Wednesday, January 17th, 2024 at 10am PST, we will have a livestream event titled:Bringing your Adobe Analytics data and analyses into Customer Journey AnalyticsREGISTER NOW! Details:Join Bryan, Eric, and Doug as they discuss how to quickly get moving with Customer Journey Analytics. You’ll learn about using automated processes to move data and analyses from Adobe Analytics to Customer Journey Analytics, as well as any gotchas to consider during the process.And of course, they’ll have a healthy dose of fun tips and tricks along the way.As always, this live session lets you ask questions in the chat and get answers from the experts.Can't make it? Sign up anyway and we'll send you the recording afterward. We hope to see you there!

  We are officially open for business for Adobe Analytics Rockstar tip submissions! Join me on stage at Summit while you present your best TWO Adobe Analytics/Customer Journey Analytics/Adobe Product Analytics tips and the audience votes on their favorites for huge prizes!     You have until January 19th to submit your ideas here: adobe.ly/aarockstar  (and if you'd like, pre-register for the Summit session here) ((and if you'd like to see some tips from previous years: adobe.ly/aarockstartips))      

Ready to start the new year strong with some Adobe Analytics Office Hours? This month we have two office hours, one on January 11th at 1pm PST, and one on Jan 23rd at 11am GMT. So wherever you are in the world, we've got you covered! You can pick which session works best for your schedule, or if you're super motivated (or just can't sleep) you can attend both.  Americas: January 11th at 1pm ESTSpeakers: Achaia Walton, Meghan Powers, Luke Ahn, and Gitai Ben-AmmiSign up hereEMEA/APAC: January 23rd at 11am GMTSpeakers: Frederik Werner, Isha Gupta, Gipson Mohlongo, Benj Toledo, and Judolene BerghSign up here  If you have any questions that you want to ask our champions you can submit them using the question submission form below, or you can comment them on this post! Either way we will make sure they have your questions! If you don’t have a question and just want to watch, that’s great too. Everyone is welcome to attend.Office Hours Question Submission Form (option

Use this thread to ask any questions related to the Filtering your data with custom segmentation and dates course/playlist on Experience League. Experts are monitoring this thread to ensure your questions are answered.

Our Adobe Digital Experience Communities are the heartbeat that connect, engage and empower our users to create game-changing digital experiences leveraging Adobe solutions.  The Community Advisor program is a prestigious year-long initiative that recognizes outstanding users of Adobe Experience Cloud products. Community Advisors are distinguished as thought leaders and experts in their field, consistently demonstrating their expertise through active engagement, providing valuable insights, and setting an example for others. By fostering a thriving and supportive community, the program encourages peer-to-peer learning and offers a platform where users can freely exchange knowledge, receive assistance and contribute to the collective growth of the community. What are the program benefits? Quarterly calls with the Adobe product teams Vouchers for Adobe Experience Cloud certifications Opportunity to participate in beta testing and early adopter programs Opportunity to inf

I am an Adobe Analytics enthusiasts and your fellow life-long learner in this community. I am excited to partner with @jagpreet_singh_ and the rest of other Adobe Community Advisors for Tuesday's Tech Bytes! I will lead the discussion on Adobe Analytics Tips & Tricks, Best Practices, Success Metrics, Golden Nuggets, and much more.  Fun and interesting content will be added every Tuesday on this thread! As digital experts, you are aware how ad fatigue is inevitable in today’s omnichannel initiatives, and yet your audiences have limited reserves of attention. Avoid underperformance by optimising your ads and reinforce it enough. For the next six weeks, I will lead this discussion on Analytics Tips & Tricks, Best Practices, Golden Nuggets, Proven Antidote to Ad Fatigue, and much more. Expert Trick: Ad Format Variety is Key! Why is it important? 1. Maximise the Mileage Consider your creative materials or content as the essential component that ensures the ad-serving alg

Analysis is the bridge that connects a mountain of information to meaningful insights. One essential aspect of analysis is the generation of analytic reports, which serve as the basis of the analysis. There are different kinds of reports. For example, there are monitoring reports, test reports, inferential reports, projections, dashboards, sponsor reporting, diagnostic reports, etc. They have different purposes. However, and very broadly, most reports you pull from Adobe Analytics will fall into two types: monitoring reports and analysis reports.Monitoring ReportsMonitoring reports are designed to do just what their name suggests – monitor and identify changes in key metrics and dimensions. They look for change. Monitoring reports tend to contain the dimensions and metrics for your site or product that you look at all the time. This differentiates them from reports that are meant to answer specific, short-term questions or reports that are meant to reveal user behaviors. Monitorin