Adobe Analytics

For this week's tech byte, I'm going to talk about the Data Dictionary and the importance of good documentation. If you missed the past weeks, you can check them out here: Tuesday Tech Bytes - Week 2 Tuesday Tech Bytes – Week 1   When building your implementation one of the most important steps is keeping good documentation so that when you (or those that come after you) want to understand what data is being captured, you have a solid reference. In the past this would typically be done in an SDR (solution design reference) external to Adobe. There still are some benefits to having external documentation, but now Adobe has made it possible to keep some of your documentation within the workspace platform using the Data Dictionary.   What is the Data Dictionary? The Data Dictionary contains a list of all your components, including your custom metrics and segments. It provides you an opportunity to add a description and tags, as well as “always include” or “always exclude” compon

Over the last two weeks, we have looked at CJA Golden Nuggets and Tips & Tricks.  Today we will look at best practices in CJA that can help your team work more effectively. Data friendliness The best practices we will explore today generally fall under the umbrella of things that make data easier to work with and understand.  Making data easier to work with in CJA increases the efficiency and accuracy of analysts and other users.  Adapting certain best practices also makes it easier for your audience to digest and understand the data. Approved Components & Tags For components that are frequently used and have been well vetted, admins can mark those components as approved.  Doing so adds a checkmark to the component.  Additionally, adding tags to components can simplify the process of finding the correct component.  Depending upon your use cases, you might tag components in categories such as geo dimensions, experimentation, funnel, and commerce. &

Use this thread to ask any questions related to the Getting Started with Analysis Workspace course/playlist on Experience League. Experts are monitoring this thread to ensure your questions are answered.

We all regret decisions in life; in Adobe Analytics we may regret storing a number in an eVar or prop! This is because unlike custom events, you can't perform numerical calculations (such as summing or averaging) on props or eVars.Obviously, you can make changes to your implementation to capture these values in a custom event going forward. However, what can be done about your historical data? Fortunately, using a combination of Classifications and Calculated Metrics this can be taken care of. Method To explain the approach, I'm going to use the example of converting from a three-digit number stored in a prop, to a metric. However, this method can be extended to cope with any number of digits and decimal places as well. Step1: Create classifications We are going to use classifications to split our number up into separate classifications, one classification for each individual digit in the number.In this example we are dealing with a three-digit number so we will need three classificati

Issue -Earlier we used to add multiple segments as options in a segment dropdown.But since the new changes have been made, where we can select multiple segments (as OR condition) in a segment dropdown, I am not able to add more than two segments in a dropdown.Even by pressing shift, it doesn't work. Update -Spoke with support team, there seems to be an engineering bug.everyone in my org is facing this issues.Spoke to a friend in another org, they are facing this issue too.Will keep you updated, once I have any resolution from the engineering team.If you guys are facing the same issue with segment dropdown, please do mention here in replies, so that the engineering team can work on this as a priority (based on the wider impact). Also, as a good practice, please raise a ticket with the Support team.

Hello Adobe Analytics Community! Welcome back to the Tuesday Tech Bytes Series!  We had an excellent learning and engagements in Tuesday Tech Bytes series 2023. We are happy to continue the series this year as well! Tune in every Tuesday for a new discussion with our community advisors! Week 1 - Golden NuggetsWeek 2 - Tips & TricksWeek 3 - Best PracticesWeek 4 - IntegrationsWeek 5 - Use CasesWeek 6 - Tips & Tricks If you use traditional Adobe Analytics, be sure to see this thread for their Tuesday Tech Bytes as well! We warmly invite you to engage with our posts by liking, commenting, and sharing!   2023 Tuesday Tech Bytes Thread   Thanks @jagpreet_singh_ & @seanrobinson  for re-launching this initiative!  

I want to find viewers of a page from time of market close to market open for a certain time period and need to know if I should set times in PST or EST to accommodate for the time difference (markets are open 9:30 AM - 4 PM EST).

Come join Christos Voutsakis, Sarah Owen and myself, Jennifer Dungan for a webinar that shines a spotlight on real-world use cases and best practices in Adobe Analytics Workspace! https://advancedanalyticsamer2022.experienceleague.adobeevents.com/ Tuesday, 19th July, 2022 8:00am – 9:00am PT 

Hi I have a dimension of evar type where the time is mentioned in microsecond. Attached is the screenshot where it shows time spent in cart for a session id.There can be multiple  time frames for one session id, depending the number of items in cart etc.How can i convert it to metric as a sum of all the time frames ?I want something like -- 76254353 (session id) -- 54000 (time spent in cart)Please find attached the sample for a session id.

Introduction Adobe Customer Journey Analytics (CJA) is a workspace built on top of the Adobe Experience Platform (AEP). CJA enables organizations to analyze and optimize their customer journeys by providing a comprehensive view of the journey across multiple platforms, channels, and touchpoints. This empowers organizations to make informed decisions based on data-driven insights. To fully leverage CJA, it is important to ensure that the data model on AEP is robust and that the data used is at the appropriate level of granularity. This means that data brought into CJA should be structured suitably for the intended analysis. To achieve this, it is essential to establish a strong identity framework, use the correct datasets for analysis, make optimal use of CJA Data Views, and accurately configure CJA Data View components. Additionally, it is important to consider the interplay between CJA and its role in the broader AEP ecosystem of data flows and application solutions. 1. Have A Clea

Introduction   Retail sites span a range of formats, but the primary goal is always to drive sales. Some sites may display a list of products to choose from, others may recommend a product based on your browsing and user history. This can create a long list of products that are sent to Adobe Analytics when a page loads. This can prove both useful and cumbersome. Although, having every single product loaded on the page as a product view Is technically correct, it may not be the most useful method to answer all of your business questions.   With the potential deluge of product recommendations, similar products, and marketing modules pushing users to engage with new products comes an analytics conundrum: how are we going to analyze this correctly? Below we will layout a few solutions that one can implement to simplify analysis.   Problem   With so many products loading on the page, marketers want to see product views and full funnel results for primary vs secondary pro

Introduction Totals are not always what they appear to be to new users of Adobe Analytics. New members on your team may not fully grasp why the total at the top of a workspace report is not the sum of the rows and in what situations it is appropriate to sum rows. In the below example we see the total for visits are less than the sum of the first 10 rows (over 6 million). The reason is that a visit takes place over a period of time and during that time a user may view products in each of the site sections. The user constitutes only one visit, but they would also appear as one visit in each of the rows (merchandising site section).     While this example is difficult enough to wrap your head around, how to handle totals for merchandising evars can vary by the metric you are totaling. A normal evar may fire when a page loads or a link is clicked. A merchandising evar fires under specific action and is not only associated with that action, but bound to a specific product. “

Introduction:Understanding and analyzing web traffic is crucial for any digital enterprise, and traffic analytics plays a pivotal role in this realm. Adobe Analytics, a leader in the digital analytics field, provides comprehensive insights into website and app performance, yet many users confront challenges when faced with instances of low traffic. These scenarios often result in underrepresented data, affecting the quality and reliability of traffic analysis. Therefore, grasping the impact of low traffic on data accuracy and decision-making processes is imperative for businesses aiming to optimize their online presence.Understanding Low Traffic in Adobe Analytics:When a report in Adobe Analytics accumulates many unique values, it employs a system to ensure that the most essential data is visible. This system includes the categorization of excess values under the label "Low-Traffic" once they surpass a predefined threshold. Specifically, Adobe Analytics sets two thresholds each month t

Hello team, I have a general query around time over time comparison within Adobe analysis workspace. Is there a way one can easily display only % change calculated metrics within a freeform table? For example, Yesterday % change, Last week % change, Last month % change, etc but hide other columns where these metrics are calculated.

    Join us at Adobe Summit 2024 for the Coffee Break Q&A Live series, a unique opportunity to network with and learn from expert users, the Adobe product team, and Adobe partners in a small group, 30 minute “ask me anything”, conversation-driven format.   Discuss recent product innovations, use cases you’re working through, and helpful tips and tricks with experts and peers who can help you elevate your knowledge. See the daily schedule below - join us and learn from the best!  Location: Community Pavilion, Adobe Booth - Experience League Community Connections area  Tuesday, March 26  Time  Topic & Solution  Speaker(s)  11:00am – 11:30am  Ask Me Anything: Adobe Target  Gentry Lin, Principal Platform Specialist – Adobe  Ryan Roberts, Principal Consultant, Proof of Concept – Adobe  Vadym Ustymenko, Principal Technology Consultant – Adobe  11:45am – 1

Organizations thrive on efficient data warehousing systems that empower users with accessibility, functionality, and control. Recognizing these needs, the latest enhancements in Adobe Analytics' Data Warehouse functionalities promise to revolutionize how users interact with data. Now, Adobe Analytics Data Warehouse users can leverage two groundbreaking features aimed at streamlining data accessibility and management: the introduction of "Make available to users in your organization" and the unveiling of "Show all destinations" toggle switches. 1. Empowering Accessibility: "Make available to users in your organization" One of the key challenges in data warehousing is ensuring that the correct data is accessible to the right users at the right time. With the introduction of the "Make available to users in your organization" toggle switch, users now possess the capability to disseminate their data requests seamlessly across the organization. Traditionally, data requests were confined to i

  Welcome to the 9th edition of the Adobe Analytics Community Lens! 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 March 2024 through June 2024, 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📅 Adobe Analytics Mentorship Program: May 29th – August 23rd We are thrilled to announce the second run of ~ The Adobe Analytics Community Mentorship Program ~ aimed at empowering Community members like you to upgrade your skill level by achieving one of the valuable Adobe Certifications. This program brings our Community's experts, or – Mentors – together with our newer aspiring product learners, or – A

Rejoignez-nous pour les premières heures de bureau des champions Adobe Analytics en français ! Vous avez des questions, et nous avons des réponses ! Nous avons rassemblé quelques un des meilleurs champions d'Adobe Analytics pour répondre à vos questions à propos de Workspace. Que vous souhaitiez connaître la meilleure façon de créer un ‘freeform table’, ou que vous souhaitiez savoir comment utiliser une classification, nous sommes là pour vous aider. Que vous ayez des questions spécifiques, ou que vous souhaitiez simplement voir ce que tout le monde demande, ce sera un excellent événement d'apprentissage pour les analystes de tous niveaux. Si vous avez des questions que vous aimeriez poser à nos champions, veuillez utiliser le lien ci-dessous pour soumettre vos questions avant les heures de bureau. RegisterFormulaire de soumission de questions sur les heures de bureau (facultatif) Join us for the first Adobe Analytics Champion office hours in French!You've got quest

Analytics help you gain insight into your audience, and that is no different for news publishers. Here are some helpful hacks I’ve used that you might find helpful for your newsroom (and even other organizations). Tip # 1: Using Custom Date Ranges for Current Events On any given day, a lot can happen in the news. Even major global events can be hard to track in terms of timelines. You can make it easier for your editorial staff to evaluate coverage of key events by creating date ranges for these events. You can use tags to organize by topic, beat, or newsrooms (if you have multiple within your organization). For events like the Olympics, you can set fixed date ranges starting from the day your newsroom started covering the event to a couple of dates after it ended (or when your newsroom has wrapped up coverage). For current events that do not have foreseeable end dates or are still ongoing, you can set a rolling date that updates the date range to end on the current date (or the day b

Introduction By now you have probably heard of the Web SDK (Alloy.js) and Edge Data Collection. Whether you are on a quest to learn more about Adobe's new technology or aren't sure where to start with your migration, we're here to help you. In this blog, we're diving into the world of Web SDK and Edge Data Collection to demystify the process, share our best tips and tricks, and equip you with the know-how to kick start your migration journey.   Tip #1: Pick the Right Moment  Identify specific use cases where Edge Data Collection would make a difference. Some common use cases include real-time segmentation and personalization, real-time triggers via Adobe Journey Optimizer, solving for cookie deletion, establishing a semantic data structure, offloading third-party tags, and reducing page JavaScript. Additionally, you may be looking to modernize your outdated implementation with Adobe's latest data collection technology. Once you've identified your use cases, it's time to

Hello Everyone, Posting here some details about the Adobe Analytics Champions Office Hours (May - EMEA/APAC) session, In case you missed it. The hosts were: Ioana Maftei, Victoria Xiao, and Myself. Organized by Mandy George. We spoke about 'How to Become Adobe Analytics Champion', 'Tracking Mobile App Activity within 30 days of Installation', 'How to Track Multiple Workflows', and few other questions from Audiences. Watch the recorded session here and past events on AA User Group YouTube channel. Look here for the upcoming events from Adobe Analytics User Groups: https://analytics-augs.adobe.com/events/#/list Thank you! Krishna Musku

Is there a way to configure override last touch value in CJA similar to that of adobe analytics ? How does the last touch channel attribution work for below use case? Marketing channel derived field:- if utm source equals “email” then “email”- if referrer contains “facebook/instagram” then “social”- if referrer contains “abc.com” then “Internal”- otherwise set value to “direct” use case: new user visit home page website via email(utm_source) -> user navigates to product  page -> add to cart page -> checkout page(purchase) What would be the last channel attribution for the purchase? Email? Direct?

Watch Now Join Adobe Champion Meghan Powers as she demystifies the implementation process of the Adobe Web SDK. In this insightful webinar, Meghan will guide you through her team’s strategic step-by-step approach, detailing pre-implementation preparations, the implementation phase itself, and post-implementation strategies. Gain valuable insights into best practices and potential challenges to navigate.This webinar is tailored for all audiences, offering practical advice devoid of technical jargon or code snippets. Whether you're a marketer, analyst, or strategist, this webinar will equip you with the knowledge to optimize your use of the Adobe Web SDK.  

By : Prachi Jain & Luc Forgeron Introduction Have you noticed your “Unique Visitor” counts increasing in your Analysis Workspace reports? Are you confident in the accuracy of your visitor identification reporting to personalize-at-scale? To set your mind at ease, Adobe, a leader in the digital marketing and customer experience domain, offers a powerful data collection tool known as the First Party Device ID (FPID), which empowers organizations to create stronger relationships with their customers. In this article, we will delve into the concept of Adobe's FPID and explore its benefits, applications, and best practices for effective visitor identification integration.  Understanding Adobe's First Party Device ID  The Adobe Experience Platform Web SDK assigns Adobe Experience Cloud IDs (ECIDs) to website visitors through the use of cookies, in order to track user behavior. The FPID can be used as a unique identifier to seed the ECID cookie, allowing businesses to colle

Introduction This is the second of two blog posts about customer engagement and customer experience metrics on global web properties at 3M.  In the first entry (A Novel Approach to a Web Engagement Metric), I provided an overview of a 3M.com Engagement Index which is a composite measurement of six dimensions of visitor engagement.  In this post, I will share some surprising insight about the relationship between engagement and customer experience metrics. Measuring Customer Experience We have been gathering customer experience feedback using surveys on 3M.com for more than two decades.  I was even featured in a Fast Company article about this way back in the year 2000 (Fast Company: Here’s Our Site – Are You Satisfied?).  The form and function of our visitor survey has changed many times, but the fundamental concepts have been consistent.  This customer experience data is a nice compliment to the rich behavioral data in Adobe Analytics.   We trigger feedba