Adobe Analytics

IntroIn part one of this series, I provided the reason why you would want to prevent collecting data from bot traffic and described the basic process on how to do so.   This article gives two different solutions on how to identify the traffic you would want to block in the first place.Excluding Hits Based on the User AgentAn external party – the IAB - provides to Adobe the list of user agents contained in the default IAB Bot List; and thus, Adobe cannot provide this list to you as a client.  As a consolation, Adobe Workspace does provide a “Bot Name” dimension that provides a list of “friendly names” tied to the bot-based user agents.  For example:But having just the friendly names of these bots does not necessarily inform us of the exact criteria the IAB list uses when it identifies bots.  And so, as much as we'd like to stop collecting data from every single bot in that list, reality shows that it’s not a simple task. That being said, we can still deploy

Introduction Understanding the core concepts of Adobe Customer Journey Analytics (CJA) can help you utilize its potential and make informed decisions for your organization. This post will explore five key ideas at the heart of CJA: Person Identity Handling, Connections, Data Views, Report-Time Processing, and Projects & Analysis Workspace. These concepts aren't just theoretical; they significantly influence how your organization's CJA operates and how to maximize its benefits. Let's delve into these five crucial concepts: Person Identity Handling: This is how CJA identifies and tracks individual persons across different touch points in their customer journey. It integrates varied dataset sources and ensures all data is accurately attributed to the correct person. Connections: Connections in CJA integrate and consolidate various datasets, thereby supporting and enabling a more comprehensive understanding of the customer journey. Data Views: This container interprets data fro

  Introduction Organizational readiness is top of mind for strategic leaders, especially those investing in Adobe Customer Journey Analytics (CJA) . How can they maximize value not just from CJA, but from their people? How can they transform while safeguarding data integrity and promoting sustainable, scalable analytics practices across the organization—all with the right mindset? In this two-part series, we'll explore insights from Brian Au, a CJA subject matter expert, and Shaaz Nasir, the head of Adoption for Adobe Consulting Services. As organizations of all sizes implement Adobe Customer Journey Analytics (CJA), it's vital to grasp the complex interplay of ownership, roles, skills, responsibilities, and mindset within teams. The approach to managing and leveraging CJA varies significantly based on team size, requiring a nuanced understanding of different operational models. This first installment delves into diverse team structures for CJA operations, tailored for smal

  Introduction The process of making Adobe Analytics (AA) Analysis Workspace projects available in Customer Journey Analytics (CJA) requires careful AA administrative planning, preparation, and execution. It's crucial to understand that this isn't a one-way migration where AA projects are deprecated, but rather an admin-driven "porting" of AA projects to CJA at a specific point in time for a given Analysis Workspace project. Be mindful of the prerequisites for this process, including supported ingestion pathways, CJA-side Connection and Data View setup requirements, and CJA Data Views user permission provisioning. Adobe Experience League outlines the porting workflow, covering the steps to take within Adobe Analytics, instructions on how to retry a failed migration, and guidance on monitoring the porting progress of AA projects to CJA using the Admin component migration page. This diagram illustrates the key steps in the porting process, from initial organizational alignment to

By: @kopeti & @jacob-dddev  In the first of this 2-part series, we will go over some of the reasons to consider using server-side data collection. In the next part, we’ll discuss in more detail some of the options available.  If any of the following concerns are on your mind, it's a good idea to explore server-side data collection as an alternative strategy. Consider when the following may apply Page Performance - If your organization prioritizes delivering an optimal user experience, focusing on improving page load times and JavaScript event handling, while simultaneously undertaking significant marketing efforts to send data to diverse destinations for enhanced user acquisition and tailored content to boost customer engagement. Avoid Browser Restrictions - If you're struggling with evolving browser restrictions, such as third-party cookie limits on Safari, Chrome, and Firefox, and seek persistent visitor identification, opting for

  Introduction Adobe Customer Journey Analytics (CJA) product administrators are crucial in helping organizations unlock the full potential of their Adobe Experience Platform (AEP) datasets. These skilled practitioners configure and fine-tune the CJA solution, ensuring it delivers precise, timely, and actionable insights for data-driven decision-making. Their expertise encompasses a broad spectrum of skills, blending technical prowess with strategic business acumen. It's worth noting that comprehensive access to Connections— the foundation of CJA—requires specific AEP-related permissions granted through the Experience Platform Product Profile. As architects of an organization's CJA Data View implementation, product administrators transform AEP data into meaningful CJA narratives. They create Connections, design intuitive Data Views, and implement quality control measures. Their work establishes the groundwork for analysts and decision-makers to build powerful insights and analys

Introduction Embarking on utilizing Adobe Customer Journey Analytics (CJA) as a practitioner might seem daunting at first. However, with a well-structured plan and an open mindset, you'll become knowledgable and proficient. This guide is your personal 90-day instruction manual, offering a detailed, step-by-step playbook. By following it diligently, you'll not only become familiar with navigating and operating CJA but also learn how to maximize its potential. First and foremost, get well-acquainted with the learning paths and core concepts of CJA. This involves grasping the essential ideas, terms, and features that characterize CJA. Days 1-15: Spend the first two weeks immersing yourself in the CJA learning pathways and fundamental concepts. Allocate time each day to review materials, watch tutorials, and participate in any available training sessions. This will build a solid foundation for understanding CJA. Secondly, gain a clear understanding of your CJA role, whether as a C

Introduction For effective management of Customer Journey Analytics (CJA), especially in the areas of Connections and Data Views, a well-structured, tiered sociotechnical governance process is essential. A comprehensive CJA governance framework ensures the reliability and relevance of Connections and Data Views. It also adheres to your organization's data governance strategy, especially regarding privacy and security. This blog post outlines key focus areas for efficient governance of CJA and highlights where upstream Adobe Experience Platform (AEP) data governance should be addressed to be effective in CJA. Define CJA Product Administrator Roles and Responsibilities: This involves identifying individuals or groups who will administer or use CJA and defining their roles and responsibilities. This step ensures accountability and proper access controls. Establish a Data Governance Framework: This entails setting up a framework detailing policies, procedures, and guidelines for manag

Introduction This blog post reviews several advancements in Customer Journey Analytics (CJA), specifically the derived fields functions from the June 2024 feature releases. These powerful, expanded CJA component manipulation options enhance your data analysis capabilities, allowing you to transform and interpret your data in more meaningful ways. Derived fields are applied at report run-time, and no underlying data is changed. They create new components sourced from existing fields by basing them on those fields. The Math Function, Next or Previous Function, Summarize Function, and Deduplication Function are powerful new options that can significantly enhance your understanding of customer journeys. Each new derived field function uniquely contributes to the analysis process in CJA, helping you uncover actionable insights and optimize your strategies through better customer journey analysis. Review of Derived Fields Enhancements The most noteworthy advancement in the Next or Previous

Assurance (formerly Project Griffon) is a tool within Adobe Experience Platform designed for implementation validation. It is extremely helpful to check extension versions, inspect data values, store testing logs, and troubleshoot implementation issues. While Assurance can help to validate your Web SDK implementation, it is particularly useful for mobile app implementations as it replaces tools like Charles that can be difficult to use for specific use cases such as validating an Analytics implementation. This blog will guide you through getting started with Assurance and key tools to help you with your mobile app validation. Installing & Registering Assurance  To get started with Assurance, install and register the extension in your app. First, add the AEP Assurance extension in your Tags property. This step should be relatively easy as there is nothing to configure within the extension - just search the catalog for AEP Assurance, install the extension, and publish your libra

Revenue Impact refers to the influence that changes or interventions have on an organization’s total revenue. It serves as a tangible measure of success and informs decision-making. For organizations aiming for growth and optimization, revenue impact is a critical tool. The formula for Revenue Impact is as follows:  Daily Unique Visitors x Conversion Rate x AOV x 364 x Lift  Daily Unique Visitors: This represents the number of distinct visitors to your website in a single day. It’s a crucial metric for understanding your site’s traffic. Conversion Rate: The conversion rate is the percentage of visitors who perform a desired action, such as making a purchase or signing up. It’s calculated as the number of orders divided by the number of unique visitors.  Average Order Value (AOV): AOV reflects the average amount of money a customer spends per order. It’s calculated as total revenue divided by the number of orders.  Lift: Lift refers to the positive change

In a recent blog, we introduced using Adobe Experience Platform (AEP) Assurance for mobile apps, including steps for installation, connecting to session, and covering some of the helpful tools within Assurance. Assurance enables you to validate your mobile implementation by verifying events, shared states, extension versions, and more, ensuring your implementation is configured correctly and running smoothly.  This post will focus on using Assurance to validate and troubleshoot your Adobe Analytics implementation. Using the new Analytics Events makes achieving data accuracy easier than ever.  Getting Started  Ensure that you are connected to an Assurance session and have Analytics Events enabled. If you don’t see Analytics Events in your navigation bar, you will need to configure the side bar to add it.   Analytics Events Once connected, you’ll start seeing your Analytics events flow into Assurance. In the Events tab, the Detail column will show the event

Adobe provides multiple ways to exclude data (that you have collected) from your final Analytics reporting data set.  The most common method in use today is the IAB Bot Filtering tool, which (by default) excludes any hits containing a User-Agent header that matches a list of “bot-based” headers provided by the IAB itself.  The tool also allows you to provide your own list of “custom” User-Agents or IP Addresses that you would want to exclude hits from.  Using IAB Bot Filtering or other such tools is a great first step, but your Adobe Analytics implementation will still face two major problems:Not all incoming hits can be identified as bots by just examining the User-Agent header or the IP Address; some bots use ordinary User-Agent headers and/or can readily change their IP Addresses to mask their activity.Even if your IAB Bot Filtering setup is able to properly identify all of your incoming bot activity, that bot activity is identified only after an Adobe Analytics

By @jacob-dddev  & @kopeti  In the previous part of this 2-part series, we considered some of the reasons for choosing server-side data collection. In this second part, we will explore various APIs available, including the Edge Network Server API, Media Edge API, and Data Ingestion API, along with their benefits, technical aspects, and interesting fun facts. Aside from product-specific API, the following API are available for collecting data: Edge Network Server API Media Edge API Data Ingestion API Edge Network Server API The Edge Network Server API allows data to first hit Adobe’s Edge Network before being routed to an array of different products and services.  Benefit summary A single request can send data to multiple Adobe products and servicesCan return data used for personalization and marketing Ability to enrich data with Adobe’s lookup tables (e.g. Geo, Network, Device lookups) Manipulate data i

Join us to discover the very latest innovations with Adobe Customer Journey Analytics. Every quarter our product experts will share exciting updates to help you understand what’s new and get the most value from Customer Journey Analytics.   This quarter’s updates include: • Alerts• Asset transfer• Journey canvas• AJO Reporting Phase 2• Guided analysis in Workspace• New Report Builder in Adobe Analytics   Thursday, November 14, 2024 - 9:00 – 10:00 am PT  Register here - https://event.adobe.com/customerjourneyanalytics              

Congrats to Isha Gupta (aka @igupta) for being our Top Contributor this October 2024! 🙌 Her expert insights, helpful solutions, and dedication to supporting fellow users have made a huge impact in the community. Thank you for your dedication, Isha, and for making the Adobe Analytics community a stronger, more vibrant place! 🌟 Let's all take a moment to celebrate her outstanding efforts and continue to learn from one another!                   Warm Regards, Jagpreet Singh   

Running into Low-Traffic values often serves as a roadblock for organizations looking to understand their data. While contacting Adobe Customer Care to change the threshold on a per-variable basis can fix this issue, Data Warehouse can also serve as a solution. When a report has many unique values, Adobe provides functionality to ensure that the most critical values appear in your data. After approximately 500,000 existing values are collected, a dimension item labeled Low-Traffic groups unique variable values. Running into Low-Traffic values can often serve as a roadblock for organizations looking to understand their data, as shown in the screenshot below: While organizations can contact Adobe Customer Care to change the threshold on a per-variable basis, they may only need this data to glean a quick insight and do not want to move forward with this change request. In this scenario, organizations should leverage Data Warehouse to understand Low-Traffic values, as there is no limit to

 To help you ring in the holiday season, we’re launching a certification exam sale. Through the last day of the year, December 31, 2021, all certification exam vouchers will be an extra 20% off! Vouchers are good for one year. Use your learning funds for big savings Use your yearly learning funds now so that you don’t lose them when 2022 rolls around. Just visit the Adobe Certification Voucher Center to make your purchase and enter code Holiday21 at checkout. You have up to a year from the purchase date of any exam vouchers to use them. Here’s a breakdown that shows just how affordable exams are when you take advantage of the sale: Professional & RenewalCertification ExamsNormal priceIndia - $95 USDGlobal -$125 USDSale priceIndia - $76 USDGlobal -$100 USDAdobe Partner priceIndia - $51 USD Global -$67 USDExpert & Master Certification ExamsIndia -$150 USDGlobal -$225 USDIndia -$120 USDGlobal -$180 USDIndia -$81 USDGlobal -$121 USD Partners can s

“We are drowning in information but starving for wisdom.” -E.O. Wilson This rings so true in a world of big data. And it echoed strongly during the early days of my career in Digital Analytics. It’s a relief knowing that analysts don’t need to be exhaustive with data points. Else, it only gets too overwhelming, and you’ll be lost in the sea of numbers. But the next question is, how do we even know where to start? Here are three effective ways to statistically choose your battle in data analytics. 1. Pareto Principle Known as the 80/20 rule, this concept from economist Vilfredo Pareto explains that 20% of what you do matters, the rest is a waste of time, which is 80%. The key to success is identifying the crucial 20% of input and prioritising it. An example scenario, your Adobe Analytics dashboard shows that your campaign landing page has a bounce rate higher than your KPI of 60%, and this website is used for 50 countries. If you'll only look at the Bounce Rate column to spot which was

Big thank you to everyone that was able to make it to our Tech Session "Tracking Visitors in the Ever-Changing Landscape of Cookies, Browsers, and Libraries" today!These are the additional resources I mentioned that would be made available to help your team dig deeper into the topics we discussed Tech Session Additional Resources Tracking servers vs cookies:https://experienceleague.adobe.com/en/docs/analytics/implementation/vars/config-vars/trackingserverCname Implementation:https://experienceleague.adobe.com/en/docs/core-services/interface/data-collection/adobe-managed-certGrace Periodhttps://experienceleague.adobe.com/en/docs/id-service/using/reference/analytics-reference/grace-periodVisitor Migrationhttps://experienceleague.adobe.com/en/docs/analytics/technotes/visitor-migrationMigrate to ECID Servicehttps://experienceleague.adobe.com/en/docs/id-service/using/homeAdobe Analytics and Cookies State of cookies in 2024:https://experienceleague.adobe.com/en/docs/analytics/

Hello Team, Welcome to the Adobe Analytics Community Mentorship Program 2024! This is the featured Community Discussion thread for your Adobe Analytics Community Mentor, Charles (aka @Charles_Thirupathi), who will be here to guide and support you and your peers with your Adobe Analytics questions as you prepare for the Adobe Analytics Architect Master Certification (Exam ID: AD0-E207), through to the end of the program.    Aspirants mapped to Mentor, Charles @Charles_Thirupathi KristinaDewald ZubairMA VNPB  KuldeepYadav njalan Arturorivero1 How to participate  Aspirants’ goal is to clear their Adobe Analytics Certification during the duration of the program: July 24th, 2024 – September 4th, 2024. Aspirants: Post your Questions in this thread to connect with Mentor, Arun (@Charles_Thirupathi), and your fellow Aspirant peers.  *You are all preparing for the same Certific

Hello Team, Welcome to the Adobe Analytics Community Mentorship Program 2024! This is the featured Community Discussion thread for your Adobe Analytics Community Mentor, Arun (aka @PratheepArunRaj), who will be here to guide and support you and your peers with your Adobe Analytics questions as you prepare for the Adobe Analytics Architect Master Certification (Exam ID: AD0-E207), through to the end of the program.  A little bit about your Adobe Analytics Community Mentor, Arun:   Enterprise Architect (NextRow Digital) with 12+ years of experience in MIS, Analytics, Personalization and Customer Data Platform | Brand Ambassador, User Group Leader, Community Advisor in Adobe | Founder and Author of Terryn Winter Analytics (Blog Portal) | Holder of 8 Adobe Certifications across Adobe Analytics, Adobe Target, and Adobe Audience Manager.     Aspirants mapped to Mentor, Arun @PratheepArunRaj MukeshAEM Ankit

    We’re excited to announce a new Adobe Analytics Applications webinar series, presented by the Adobe Analytics Product Teams. Join us to discover the very latest innovations with Adobe Customer Journey Analytics. Every quarter our product experts will share exciting updates to help you understand what’s new and get the most value from Customer Journey Analytics. The first session is coming up, so register soon to ensure your spot in the series.    Date: September 19 Time: 10:00am to 11:00am PDT This quarter’s updates include: • Guided analysis for Customer Journey Analytics• Graph-based Stitching• AJO reporting• Plus more   Register and attend HERE

Hello Adobe Analytics users,   Adobe is hosting 2024's second bi-annual roadmap webinar series of experience cloud products from September 24th to October 24th.   Roadmap Webinar for Adobe Analytics & Customer Journey Analytics is on October 24th 11AM EDT (NA/EMEA) and 7PM EDT (NA/ANZ/JAPAC). This live 45 minutes webinar will unveil the latest updates and future directions of Adobe Analytics with it's focus on Customer Journey Analytics. In this roadmap webinar, you will get to take a look at what’s coming next. Also, have an opportunity to ask questions and engage directly with the Adobe product team.     See remaining experience cloud products dates and register here:https://roadmapwebinars.adobeevents.com/webinars/

If you're looking to make a shift in your career, or you're a student trying to discover your future career, this panel-styled webinar is for you! Come learn how to break into Adobe Digital Experience, see what type of roles are open in this field and ask questions live to experts in Adobe Journey Optimizer. See poster below for details and register for the webinar here!