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All lessons in Digital and Web Analytics Lesson 4.3 of 32

Module 1: Introduction to Digital Analytics

  1. 1.1What is digital analytics?
  2. 1.2The four types of analytics
  3. 1.3Connecting analytics to business objectives and KPIs

Module 2: Analytics Data and Measurement Planning

  1. 2.1How to build a measurement plan
  2. 2.2Key metrics for each marketing channel
  3. 2.3Data sources, collection, and data quality
  4. 2.4Segmentation and personalization

Module 3: Web Analytics Fundamentals

  1. 3.1Users, sessions, page views, and events
  2. 3.2Traffic sources, channels, and UTM parameters
  3. 3.3Landing pages and user behavior
  4. 3.4Engagement metrics and conversion metrics
  5. 3.5Reading reports, trends, and anomalies

Module 4: Analytics Tools and Platforms

  1. 4.1Google Analytics 4 fundamentals
  2. 4.2Google Search Console performance data
  3. 4.3Adobe Analytics overview
  4. 4.4Tag management and tracking implementation
  5. 4.5Connecting tools and choosing the right stack

Module 5: Conversion Funnels and Optimization

  1. 5.1What is a conversion?
  2. 5.2Conversion funnels and drop-off points
  3. 5.3How to calculate conversion rate
  4. 5.4Prioritizing conversion improvements
  5. 5.5Introduction to A/B testing

Module 6: Digital Marketing Performance Analysis

  1. 6.1Measuring SEO and paid advertising performance
  2. 6.2Social, content, and landing page performance
  3. 6.3Comparing acquisition channels
  4. 6.4Evaluating campaigns and avoiding vanity metrics

Module 7: Reporting, Visualization, and Insights

  1. 7.1Building a marketing performance report
  2. 7.2Data visualization and dashboards
  3. 7.3Comparing periods and benchmarking
  4. 7.4Turning data into actionable recommendations

Module 8: Analytics Projects and Practical Assessment

  1. 8.1Analytics case study: Isla Coffee Co.
  2. 8.2Final assessment: digital analytics case study

Adobe Analytics overview

This lesson covers

  • What Adobe Analytics is
  • Its key features compared with GA4
  • Which businesses typically use it

Short answer

Adobe Analytics is an enterprise analytics platform used by large organizations. Compared with GA4, it offers more customization, advanced segmentation, real-time data, and deep links to the Adobe Experience Cloud. It is paid and usually needs specialist setup, which is why most small and mid-sized businesses use Google Analytics 4 instead.

Key features

  • Analysis Workspace: drag-and-drop reporting and visualization.
  • Custom variables: eVars and props for detailed tracking.
  • Real-time data and strong cross-channel attribution.
  • Deep integration with the Adobe Experience Cloud.

GA4 vs. Adobe Analytics

GA4Adobe Analytics
CostFree (paid 360 option)Paid
Best forSmall to large businessesLarge enterprises
SetupSelf-serveUsually needs specialists
CustomizationGoodVery high

Quick quiz

1. Who typically uses Adobe Analytics?
2. What is Analysis Workspace?

Your action

Key terms

Analysis Workspace
Adobe's drag-and-drop reporting area.
eVar
A custom Adobe variable that persists across visits.
Prop
A custom Adobe variable for one hit.
Experience Cloud
Adobe's suite of marketing tools.

Questions beginners ask

Should beginners learn Adobe Analytics?

Learn GA4 first. The core ideas transfer, and Adobe skills help if you join a large company.

Is Adobe Analytics free?

No. It is a paid enterprise product.

Related lessons

Want someone to set up your analytics and reporting while you learn? The team at Remar Digital can help.