Adobe Analytics Tutorial – A Beginners Guide

Most analysts understand Google Analytics but find it difficult to learn Adobe Analytics. Are you one of those enthusiasts, and seeking the right place to dive into Analytics? You are at the perfect destination and this tutorial can help you overcome your doubts and fears thus helping you grow in this career.

In this Adobe Analytics tutorial

we’ll cover the following Adobe Analytics beginner topics:

  1. What is Adobe Analytics?
  2. What is the use of Adobe Analytics?
  3. How does Adobe Analytics Collect Data?
  4. How to implement Adobe Analytics?
  5. How to Create a Dashboard in Adobe Analytics?
  6. What are the benefits of Adobe Analytics?
  7. Google Analytics vs. Adobe Analytics
  8. Comparison between the dimensions and Metrics in Adobe Analytics and Other Analytics
  9. Adobe analytics tools
  10. Adobe Analytics Certifications
  11. Job Roles Available for Adobe Analytics
  12. Future of Adobe Analytics


What is Adobe Analytics?

Adobe Analytics is an important part that helps you understand the features of web analytics and make use of its applications.  It is part of Adobe Experience Cloud, which includes products that allow marketers to implement real-time analytics and segmentation across a wide range of marketing platforms. 

Adobe Analytics is an analytics solution, enables teams and organizations to eventually become data-driven solutions. This tutorial describes the purpose of Adobe Analytics, outlines the data that can be captured, and how to access the processed data for further analysis and export.

This Adobe Analytics solution can be implemented on websites, mobile apps, and any device connected to the Internet. Analysts provide tools for data analysis to create reports, build dashboards, and provide data reports. And this Adobe Analytics Provides a variety of analyses and UI, including analysis workspace, Ad-hoc Analysis and report builders.

Related Article: Adobe Analytics Interview Questions and Answers


What is the use of Adobe Analytics?

Adobe Analytics is the industry’s leading solution for applying real-time analytics and detailed segmentation across all marketing channels. Use to identify high-value audiences and provide customer intelligence to your business. The Adobe Analytics API provides an endless way to integrate your most important customer data into critical business processes.

Becoming familiar with Adobe will expand your skills in Analytics. While many elements of Google Analytics tracking apply to Adobe, its new tools, features, caveats will deepen, and enrich your knowledge in analytics. Understanding the Adobe Analytics features will not only save time but also helps to solve complex analysis problems, thus creating actionable and expansive reporting and strategic tracking settings.


How Does Adobe Analytics Collect Data?

For Each page, Adobe track has a small piece of Adobe authentication JavaScript code. This code is provided by the account manager.

 The process of data collection in Adobe Analytics looks like this:

1. Web Server
2. Adobe Data Center
3. Report Suites

1. A Visitor accesses a Web page that contains data collection codes.

2. When the page is loaded, the data collection code sends an image request (called a Web beacon) to the Adobe data collection server. Image requests contain data that you collect about visitors interacting with the site.

3. Adobe stores data in a report suite. You can sign in to access report suite data and generate reports related to visitor activity on your site.

Data collection is very fast and has no significant impact on page load times. The collected data includes a view of the page caused by clicking the browser reload or back button. JavaScript code is executed even if the page is retrieved from the cache.


How to implement Adobe Analytics?

Adobe Analytics requires code within your application, website, or others to send data to the collection servers. Considering all your organization’s requirements, Adobe offers multiple ways to implement this code. 

Here is the list of most popular ways utilized to implement Adobe-Analytics:

  • Adobe Experience Platform Launch
  • Legacy JavaScript
  • Dynamic Tag Management
  • Mobile SDK



How to Create a Dashboard in Adobe Analytics?

A dashboard is called a collection of thumbnail reports called reports(reportlets). Dashboards are most useful because they contain related reports that provide a complete overview of specific aspects of your site, such as how to search, visitor profiles, and more.

You can add marketing reports to your dashboard, including graphical reports such as conversion funnel reports, Fallout Reports, and Pathfinder reports.

The process to create a Dashboard in Adobe Analytics

  1.  Go to Analytics > Components > Manage Dashboards
  2. Click Add Dashboard
  3. Give a particular name to your dashboard
  4. Click 2 x 2 or 3 x 2 to specify how many reportlets that you want on your dashboard page.
  5. Now, configure your Dashboard page
    Add Page: You can add a blank page to the dashboard and drag the content on the dashboard to create a report.
    Paper: This helps you specify paper sizes, such as portrait, landscape, and A4 size.
    Find content: You can search for content in the Add Content and Dashboard Content menus.
  6. Drag the item to the reportlet canvas to add the available content to the dashboard. 
  7. Click Save


What are the benefits of Adobe Analytics?

Adobe Analytics offers unmatched insights, which help to maximize your efforts in marketing. They include:

  • Personalized Experience
  • Better Ad Spend
  • Content Monetization
  • Campaign ROI

In addition to the above-mentioned benefits, Adobe Analytics also offers several features, favored by digital marketing analysts and marketers around the globe. Let’s take a look.

  • Detailed Dashboards: Get critical customer information by using information such as buy indicators, campaigns, loyalty programs, and more through detailed dashboards.
  • Innovative reporting: Derive the simplest results by leveraging a comprehensive set of existing ready-to-use reports.
  • Real-time information: Keep track of your customer’s interaction with the brand in real-time and accelerate customization.
  • Unlimited Segmentation: Increase the value of your digital visitors by creating accurate customer segments through unlimited measurements and size combinations. They can be used for comparison and identification of key performance areas with rich information.
  • Excel Integration: Gain the capacity to explore data that is aligned with your business needs. You can collect the data, process it, and then analyze it in MS Excel. with ease.
  • Real-time offline and Online Analytics: Deals with the count of your mobile visitors, video efficacy along an eye on social media tracks to urge a transparent idea about the impact of your investment all through this tool.
  • Effective Tag Management: Using dynamic tag management,  you can easily deploy Adobe and third-party beacons within minutes. This helps you recover 95% of your time spent on tag management.
  • Built-in integrations: Use drag-and-drop to integrate multiple third-party application providers like search and email from a broad ecosystem of existing integrations.

Related Article: Google Analytics Interview Questions and Answers


Google Analytics vs. Adobe Analytics

First, let’s start with a detailed comparison between Google Analytics and the Adobe Analytics tool for web analytics. Tools such as cloud integration, e-commerce support, and custom variable usage have many common features. Now, let’s get into the key differences between Google Analytics and Adobe analytics.

  1. The ease of use of implementing Google Analytics is a seamless implementation using JavaScript and Google Analytics Assistance. Implementing Adobe analytics is more difficult and requires technical assistance and programming knowledge.

  2. Google Analytics has an intuitive dashboard that’s easy to customize and difficult to share data charts with others. Adobe Analytics is no more intuitive than Google Analytics, but it’s much easier to share with others.

  3. Third-party integration of Google Analytics works well in data analytics languages such as R and Python. Adobe Analytics continuously improves integration with third-party tools.

  4. The Google Analytics attribution model provides powerful features that support multi-channel funnels. Adobe analytics lacks support for advanced attribution modeling.

  5. Google Analytics eCommerce tracking is structured with powerful reporting capabilities, as well as e-commerce features such as product impressions and shopping cart add-on data. Adobe Analytics eCommerce tracking is powerful but lacks the structure and support for predefined reporting.

Related Article: Google Analytics Dictionary


Comparison between the dimensions and Metrics in Adobe Analytics and Other Analytic tools

Comparison basisAdobe AnalyticsOther Analytics Tools
Collect and MeasureAllows users to collect data from distinct sources and access any time.Can collect data only through limited sources
Predict and ModelUses machine learning models, predictive algorithms, and built-in statistics to make data accessible.Challenging for users to use and access data.
Share and ActOffers integration with world-class productsLimited integration with other products.
Adobe Analytics Tutorial: Adobe Analytics vs Other Analytic Tools


Adobe Analytics Tools – Adobe Analytics Tutorial

When using Adobe Analytics, you can find the most powerful tools like Analysis Workspace, Report Builder, Reports & Analytics, and Ad Hoc Analysis.

1. Analytic Workspace – A dynamic interface that serves both analysis and data visualization by allowing you to pull the required data you need. It enables you to drag and drop the data using its flexible interface. It also enables you to craft your analysis,  create visualizations to bring data to life, build projects, and develop complex segments and metrics. 

2. Ad Hoc Analysis

Being the leading and most powerful tool, it allows you to perform regular and advanced analytics on an online business. Also, allows you to find the segments of the high-value customer with total real-time client information.

3. Reports & Analytics

A highly sophisticated tool with dozens of prebuilt reports. It is highly preferred by beginners to navigate pre-built reporting. You can also set targets,  look at bot reports, and can access real-time data in UI, as per your requirement.

Up to now, we have seen how Adobe Analytics is a crucial game-changer in the world of Analytics. Learning and developing skills in Adobe Analytics will give you a better position in your field. Now, let’s have a look at the certifications available for Adobe Analytics.

Related Article: Digital Marketing Interview Questions And Answers


Adobe Analytics Certifications – Adobe Analytics Tutorial

It is essential to know about the available certifications in Adobe Analytics to choose the best apt for you. To overcome all your fears and fantasies, let’s dive deep into the available Adobe Analytics certifications in the market.

1. Adobe Certified Master – Adobe Analytics Architect

This certification is the perfect suite for Solution Architects Technical Manager, Analytics Engineer, Data Architect, and Multi Solutions Engineer.

2. Adobe Certified Expert – Adobe Analytics Business Practitioner

This certificate suits Business Analysts, Digital marketers, Web analysts, Business consultants, UI analysts, Media/marketing analysts, and optimization/conversion specialists.

3. Adobe Certified Expert – Adobe Analytics Developer

The audience for this certification is Implementation Engineers/Specialists, Architects, and Developers.

Adobe Analytics Tutorial


In-demand Job Roles for Adobe-Analytics Certifiers

Now, let’s have a look at the job available for Adobe Analytics. Here is the list of the few in-demand Adobe Analytics  job roles:

1. Adobe Analytics Architect

In Adobe Analytics, the Architect’s role includes translating business requirements into technical specifications, which includes, architectural design to map needs, and understands the interdependency between eCommerce systems, platforms, and digital marketing life cycle.

2. Adobe Analytics Business Practitioner

This role helps clients to understand how to extract or pull the required contextually relevant information.

3. Adobe Analytics Developer

This role is for professionals who are familiar with distinct adobe analytics tools, and Front-end digital development environments.

Related Article: Google Analytics Interview Questions and Answers


Future of Adobe Analytics – Adobe Analytics Tutorial

Adobe Analytics is close to undergo its largest change yet. Adobe has been upgrading its entire product stack, and is in the process of rolling out the Adobe Experience Platform (AEP), and thus, the new Customer Journey Analytics (CJA) Adobe Analytics add-on.

  • Future-proof your skills in Adobe Analytics and its implementation for the coming future
  • Get the advantages of the Adobe Experience Platform
  • Clean up your current implementation to get rid of stuff that’s not needed and add new belongings you may have wanted

Let’s look into some essential points to know why Adobe Analytics is a futuristic one.

  • The leading Forrester, recently stated that Adobe Analytics is the perfect source for grasping the chance of acquiring triple-digit ROI.
  • Gartner mentioned Adobe Analytics as a leader in marketing analytics.  

It’s holding a major market share in the analytics space. It is a known fact that Adobe Analytics often comes with industry-demanded features that made it a crucial player in the Analytics domain. It’s easy adoption and flexibility feature always keep it on the top of the market.


Final Thoughts

According to the marketing statistics, we can see clearly that Adobe Analytics is the leading and multiplying certification with a varied range of possibilities to dive deep into data. Hoping that this tutorial has provided you with a clear idea of what Adobe Analytics is and it is future in the current industry.

Hope You Enjoyed this Adobe Analytics Tutorial. Feel free to comment below if having any doubts.

About Prasanthi Korada

Prasanthi Korada loves pursuing excellence through writing and has a passion for technology. She has successfully managed several websites. She is presently working as a Technical Writer for Tutorials Mania. Her previous professional experience includes Content writer at Mindmajix and Texas Review. She holds a Master’s degree in Computer Science. You can Connect with her also on LinkedIn.
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