Adobe Analytics Level 1
Adobe Analytics training begins with an introduction to Web Analytics, covering digital measurement concepts, the role of analysts, KPI definition, […]
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
Adobe Analytics training begins with an introduction to Web Analytics, covering digital measurement concepts, the role of analysts, KPI definition, and the end-to-end analytics lifecycle including reporting, optimization, and innovation.
It then moves into Reports & Analytics fundamentals, explaining data collection, report suites, metrics, breakdowns, segmentation basics, and platform navigation with hands-on login exercises.
The course explores the Reports & Analytics interface in detail, including default and custom reports, report structure, metric configuration, and use of Adobe admin and components menus.
Learners gain strong understanding of core metrics and KPIs such as visits, page views, conversions, engagement metrics, anomaly detection, and dashboard creation for performance tracking.
Visitor acquisition and marketing analytics are covered through traffic sources, campaign tracking, marketing channels, referral analysis, and campaign performance measurement techniques.
Visitor segmentation and identification modules focus on geo, technology, and behavioral segmentation along with building and applying custom segments for deeper insights.
The course then explains visitor behavior analysis including path analysis, site content consumption, mobile analytics, product usage, video tracking, and internal search behavior.
Retention and growth concepts are introduced through customer loyalty, return visits, visit frequency, and lifecycle-based visitor analysis.
Data visualization topics cover graphs, trend analysis, and reporting techniques using stacked, ranked, scatter, and bubble charts for business interpretation.
Finally, advanced modules include calculated metrics, breakdowns, segmentation, targets, alerts, dashboards, reporting automation, and Analysis Workspace for modern reporting and cohort analysis.
What You Will Learn
- Define web analytics fundamentals, KPI planning, digital measurement goals, and the analyst role in optimization cycles.
- Navigate Reports & Analytics, understand report suites, dimensions, metrics, breakdowns, and basic platform administration areas.
- Interpret visits, page views, conversions, engagement indicators, anomaly signals, and dashboard elements for performance monitoring.
- Evaluate acquisition sources, marketing channels, referrals, campaign tracking, and traffic quality in visitor reporting.
- Create basic segments using geography, technology, behavior, and visitor identification attributes for focused analysis.
- Analyze visitor paths, internal search, mobile behavior, product usage, video engagement, and content consumption trends.
- Measure retention, loyalty, return frequency, lifecycle patterns, and growth opportunities through visitor behavior reports.
- Build visual reports with trends, ranked views, scatter charts, bubble views, calculated metrics, alerts, and Workspace basics.
Course Curriculum
- Introduction to Web Analytics
- Reports & Analytics Fundamentals
- Reports & Analytics Interface
- Metrics, KPIs & Dashboards
- Visitor Acquisition & Marketing Analytics
- Visitor Segmentation & Identification
- Visitor Behavior & Content Consumption
- Visitor Retention & Growth
- Data Visualization & Reporting
- Calculated Metrics & Performance KPIs
- Breakdowns, Segmentation & Analysis
- Targets, Alerts & Context Reporting
- Reporting, Export & Distribution
- Dashboards & Reportlets
- Analysis Workspace
Curriculum
- 1 Section
- 15 Lessons
- 32 Hours
- Adobe Analytics Level 1 Curriculum15 Items
- 1.1Introduction to Web Analytics30 Minutes
- 1.2Reports & Analytics Fundamentals30 Minutes
- 1.3Reports & Analytics Interface30 Minutes
- 1.4Metrics, KPIs & Dashboards30 Minutes
- 1.5Visitor Acquisition & Marketing Analytics30 Minutes
- 1.6Visitor Segmentation & Identification30 Minutes
- 1.7Visitor Behavior & Content Consumption30 Minutes
- 1.8Visitor Retention & Growth30 Minutes
- 1.9Data Visualization & Reporting30 Minutes
- 1.10Calculated Metrics & Performance KPIs30 Minutes
- 1.11Breakdowns, Segmentation & Analysis30 Minutes
- 1.12Targets, Alerts & Context Reporting30 Minutes
- 1.13Reporting, Export & Distribution30 Minutes
- 1.14Dashboards & Reportlets30 Minutes
- 1.15Analysis Workspace30 Minutes
Pooja
Pooja is a Lead Consultant with strong expertise in digital analytics implementation and tag management across client websites and single-page applications with over 10+ years of experience. She specializes in creating and maintaining SDR and technical specification documents used globally for business alignment. Also has extensive experience working with Adobe AEP.
She has hands-on experience in building and managing data layers for web applications and SPAs, enabling accurate data capture for analytics and marketing platforms. Pooja is proficient in Adobe Launch, where she develops data elements and rules to implement tracking based on business requirements.
Her expertise includes integrating third-party marketing and analytics tools such as Qualtrics, LinkedIn, and ContentSquare to enhance customer insights. She is also skilled in cross-browser testing using tools like Chrome, Firefox, and Charles Proxy for debugging and validation.
Pooja plays a key role in quality assurance, ensuring accurate tag implementation through rigorous testing and validation processes. She is responsible for approving and deploying tracking tags to production environments, ensuring reliable and scalable analytics implementations
Student Reviews
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Previously imported course feedback
Davies, Uk: Pooja covered Adobe Analytics concepts in a very structured way, starting from basics to advanced reporting and segmentation. The hands-on exercises made KPI and dashboard concepts very easy to understand.
Taylor Smith, Usa: I really liked the explanation of metrics, calculated metrics, and real-time reporting. The practical examples helped connect theory with actual business scenarios. Pooja ensured all topics are explained properly with relavent examples.
Roberts Murphy, Paris: The modules on visitor acquisition and campaign tracking were very informative and relevant to real-time marketing analytics work. It improved my understanding of traffic sources and campaign performance.
Mustafa Kamal, Egypt: Segmentation and breakdown concepts were explained clearly with real-time examples. I can now confidently create and apply segments in reports. Will recommend this to someone new to Adobe Analytics.
Harish Kumar, Lucknow: Pooja's session on visitor behavior and content consumption was very useful for understanding user journeys. Path analysis and fallout reports were particularly insightful. Will highly recommend this course to anyone starting with Adobe Analytics
Raj Khanna, Bangalore: Dashboard and visualization topics were very engaging and helped in presenting data more effectively. Graph types and reportlets were well demonstrated.
Fariya Khan, Oman: Calculated metrics and KPI tracking sessions were very useful for advanced reporting. Pooja's examples helped in building custom metrics easily. She is really very cooperative in repeating topics incase if we request explaination again.
Chandana, Portugal: Pooja explained Analysis Workspace in a simple and practical way. Cohort analysis and freeform panels were very helpful for deeper insights. Her explaination is really at next level and it worked for me.
