Adobe Analytics A Complete Guide - Practical Tools for Self-Assessment
You’re not behind. You’re just missing the one system that turns confusion into clarity, and effort into impact. Every day without a structured approach to Adobe Analytics costs you credibility, momentum, and career ground. You're expected to derive insights, but you’re buried in reports. Stakeholders demand answers, but you’re second-guessing your own data. You know the platform holds value, but without a methodical framework, it feels like searching for a signal in noise. That ends now. The Adobe Analytics A Complete Guide - Practical Tools for Self-Assessment gives you a battle-tested, step-by-step system to master the full data-to-insight value chain-going from reactive report puller to strategic analytics architect in as little as 30 days, with a repeatable process for continuous assessment and improvement. This isn’t theory. One senior analyst at a Fortune 500 retailer used the self-assessment tools in this course to identify a 43% gap in campaign attribution setup, leading to a corrected measurement model that unlocked $1.2M in reallocated digital spend within two quarters. Whether you’re transitioning into analytics, leading a digital team, or proving ROI in a data-saturated environment, this course equips you with proprietary frameworks to audit, validate, and advance your Adobe Analytics maturity-with zero guesswork. This is your blueprint for certainty. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, Immediate Access, Anytime Anywhere
The Adobe Analytics A Complete Guide - Practical Tools for Self-Assessment is designed for working professionals who need flexibility without sacrifice. Once you enrol, you gain immediate on-demand access to the full course materials. There are no live sessions, fixed start dates, or mandatory deadlines. Learn at your own pace, on your own schedule. Most learners complete the core curriculum in 25–35 hours and begin applying insights within the first week. You’ll be able to conduct your first self-assessment and generate a maturity report within 72 hours of starting. Lifetime Access & Continuous Updates
You’re not buying a one-time pass. You’re investing in a living, evolving resource. Every enrolled learner receives lifetime access to the course content, including all future updates at no additional cost. As Adobe Analytics evolves, so does your toolkit-automatically, continuously, completely. Available 24/7 on Any Device
Access the course anytime, from anywhere. Whether you’re on a laptop during work hours or reviewing frameworks on your mobile during transit, the platform is fully responsive and mobile-friendly. Progress syncs seamlessly across devices, so you never lose momentum. Direct Instructor Guidance & Expert Support
You're not alone. Throughout the course, you’ll have access to structured guidance from certified analytics practitioners via a secure, moderated support channel. All responses are delivered within 48 business hours, with detailed, role-specific feedback designed to unblock your progress and clarify complex scenarios. Issue a Globally Recognised Certificate of Completion
Upon finishing the course and passing the final self-assessment, you’ll receive a secure, verifiable Certificate of Completion issued by The Art of Service. This certification is trusted by professionals in over 120 countries and is proudly displayed on LinkedIn profiles, CVs, and internal promotion dossiers. It signals mastery, initiative, and methodical thinking-all critical in competitive analytics roles. Transparent, One-Time Pricing. No Hidden Fees.
There are no recurring charges, annual renewals, or upsells. The price you see is the only price you pay. Your investment includes lifetime access, all updates, and full certification eligibility-no fine print, no surprises. Accepted Payment Methods
- Visa
- Mastercard
- PayPal
100% Risk-Free: Satisfied or Refunded Guarantee
You’re fully protected. If the course doesn’t meet your expectations, you can request a complete refund within 30 days of enrolment-no questions asked, no friction. We stand behind the value because we've seen thousands of professionals transform their analytics practice using this exact methodology. Clear Post-Enrolment Process
After registering, you’ll receive an enrolment confirmation email. Once your access credentials are prepared, you’ll receive a separate email with secure login details and onboarding instructions. This ensures a smooth, secure delivery of your learning path without delays. This Course Works for You-Even If…
- You’ve tried other analytics courses but still feel overwhelmed by implementation.
- You’re not in a dedicated analytics role but need to prove insight leadership.
- Your organisation uses partial or outdated Adobe Analytics configurations.
- You lack formal training but are expected to deliver data-driven results.
One digital marketing manager with no prior Adobe experience used the course’s diagnostic checklists to identify 11 critical tracking gaps in her company’s e-commerce funnel. Within a month, she led a cross-functional fix that improved conversion rate attribution accuracy by 68%-and earned a formal recognition from her CMO. The frameworks inside this course are role-agnostic, scalable, and grounded in real-world validation. You don’t need prior mastery. You only need the will to improve-and the right self-assessment tools to guide you.
Module 1: Foundations of Adobe Analytics Mastery - Understanding the core value proposition of Adobe Analytics in enterprise ecosystems
- Differentiating Adobe Analytics from Google Analytics and other platforms
- Overview of the Experience Cloud architecture and ecosystem integration
- Key components: Data Collection, Processing, Analysis, Visualisation, Activation
- Introduction to launch tracking and tag management dependencies
- Understanding dimensions vs. metrics at a foundational level
- Data models: Hit, Visit, and User-level data structures
- How data flows from site to report suite
- Types of report suites and their use cases
- Exploring virtual report suites and data views
- Role of data sources and custom reporting
- Introduction to Adobe Experience Platform and CDP convergence
- Understanding standard vs. list variables (sProps and eVars)
- Context data and custom tracking capabilities
- The importance of data governance and taxonomy design
- Setting up naming conventions for long-term scalability
- Understanding session and visit timeout configurations
- Cross-device and cross-domain tracking fundamentals
- Identifying common data quality issues at source level
- Introduction to self-assessment: Measuring current maturity
Module 2: Strategic Frameworks for Analytics Maturity - The Analytics Maturity Model: Reactive, Proactive, Predictive, Prescriptive
- Defining key maturity dimensions: People, Process, Platform, Purpose
- Self-assessment scoring rubric: Quantifying your current stage
- Benchmarking against industry standards for retail, finance, education, and B2B
- Diagnostic tool: The 10-point Adobe Analytics Health Check
- Identifying organisational blockers to analytics adoption
- Role alignment: Analyst, Marketer, Developer, Executive
- Creating a shared analytics vocabulary across teams
- Linking analytics to business outcomes through KPI trees
- Defining success metrics vs. vanity metrics
- Aligning Adobe Analytics with OKRs and business strategy
- The Decision-First Analytics approach to insight planning
- Developing an insight backlog for continuous improvement
- Mapping stakeholder needs to reporting capabilities
- Creating a data charter for governance and accountability
- Audit trail management for compliance and audit readiness
- Risk assessment: Data integrity, privacy, and accuracy threats
- Developing a phased roadmap for analytics transformation
- Resource planning: Time, tools, and team dependencies
- Change management strategies for analytics adoption
Module 3: Configuration Excellence and Implementation Rigour - Implementation checklist: Pre-launch configuration audit
- Validating launch configuration using Browser Developer Tools
- Using the Adobe Debugger for real-time data capture inspection
- Standardising page name, channel, and campaign variables
- Proper use of eVars for conversion attribution
- Setting expiration and allocation logic for eVars
- Using list variables for multi-value tracking
- Implementing custom link tracking with precise syntax
- Tracking outbound links, downloads, and video engagement
- Validating event tracking setup across event types
- Configuring currency and conversion events correctly
- Using merchandising eVars and product syntax
- Debugging product variable issues in e-commerce tracking
- Setting up custom conversion funnels and pathing reports
- Validating cross-domain tracking with correct staging
- Managing referral exclusions and internal traffic filters
- Creating custom traffic and conversion segments
- Setting up weighted allocation models for multi-touch attribution
- Implementing context data for dynamic content tracking
- Using processing rules to transform and clean data
Module 4: Data Validation and Quality Assurance Protocols - The 7-point Data Integrity Assessment Framework
- Identifying duplicate and missing data events
- Validating campaign tagging consistency (UTM parity)
- Checking for inflated page views due to tag firing issues
- Analysing bounce rate anomalies and their root causes
- Detecting bot and spider traffic contamination
- Setting up bot rule filters and internal IP exclusions
- Comparing Adobe Analytics data with server logs
- Validating e-commerce revenue and transaction counts
- Using data cross-validation with Google Analytics
- Creating data reconciliation reports for audit purposes
- Analysing visit and visitor count discrepancies
- Identifying inflated unique visitor metrics
- Validating event persistence across touchpoints
- Checking for proper event deduplication
- Using segment overlap analysis to detect data leaks
- Validating pathing and funnel completion rates
- Assessing time-based data accuracy (time on site, visit duration)
- Using anomaly detection for sudden data spikes or drops
- Documenting data quality issues for remediation
Module 5: Reporting Mastery and Insight Generation - Navigating the Analytics Workspace interface efficiently
- Creating custom dashboards with drag-and-drop components
- Using freeform tables for granular dimension analysis
- Building segmented comparisons with side-by-side panels
- Applying pathing and fallout analysis to user journeys
- Analysing conversion funnels with entry, drop-off, and exit points
- Using flow visualisations to map behavioural pathways
- Creating cohort reports to track user retention
- Analysing attribution with multi-touch models
- Comparing last-touch vs. first-touch performance
- Applying time-saving templates and pre-built project samples
- Using calculated metrics for custom KPIs
- Creating data-driven alerts for key threshold breaches
- Scheduling and automating report delivery
- Exporting reports to PDF, Excel, and PPT formats
- Sharing dashboards securely with stakeholders
- Using annotations to explain data shifts and business events
- Building mobile-optimised reporting dashboards
- Creating executive summaries from complex datasets
- Presenting insights with storytelling techniques
Module 6: Segmentation Strategies for Precise Analysis - Introduction to dynamic segmentation in Adobe Analytics
- Differentiating segments from calculated metrics and filters
- Creating real-time segments for immediate analysis
- Building reusable segment templates for efficiency
- Defining user-based vs. visit-based segments
- Creating segments based on behavioural paths
- Using sequence rules to define journey logic
- Building conversion-based segments (e.g. cart abandoners)
- Creating lookback window segments (7-day, 30-day, lifetime)
- Using frequency and recency segmentation
- Defining high-value visitor profiles
- Analysing segment overlap and exclusivity
- Validating segment accuracy with control metrics
- Applying segments across multiple reports and dashboards
- Sharing and version-controlling segments across teams
- Setting up segment permissions for data security
- Using segment stacking for layered behavioural insights
- Creating predictive segments based on past behaviour
- Measuring segment stability over time
- Exporting segment definitions for documentation
Module 7: Advanced Attribution and Conversion Analysis - Introduction to attribution modelling in digital ecosystems
- Comparing Last Interaction, First Interaction, Linear, U-Shaped, W-Shaped models
- Building custom attribution models using Model Comparison Tool
- Analysing channel contribution across customer journeys
- Evaluating underperforming channels due to misattribution
- Using algorithmic attribution with Contribution and Time Decay models
- Exploring cross-channel attribution with ad spend data
- Integrating offline conversions using Data Sources
- Building multi-level conversion funnels
- Analysing micro-conversions and macro-conversions
- Using assisted conversions report to measure influence
- Calculating incremental lift from digital campaigns
- Validating media mix models with Adobe Analytics inputs
- Measuring customer lifetime value (CLV) from behavioural data
- Tracking cohort-based retention and revenue
- Using path length analysis for journey optimisation
- Analysing time-to-conversion metrics
- Creating custom attribution dashboards
- Reporting on attribution findings to executives
- Recommending budget reallocation based on attribution insights
Module 8: Customisation, Automation, and Integration - Introduction to Data Sources and offline data ingestion
- Importing CRM data to enrich customer profiles
- Linking Adobe Analytics to Salesforce and Microsoft Dynamics
- Using Data Connectors for ERP, POS, and service platforms
- Integrating with Adobe Target for personalisation reporting
- Connecting to Adobe Campaign for cross-channel activation
- Using Adobe Journey Optimisation for real-time decisioning
- Importing custom cost data for ROI analysis
- Building blended data projects across sources
- Creating calculated metrics for business-specific KPIs
- Using report templates to standardise analysis
- Setting up scheduled projects and email alerts
- Export automation via FTP and API connections
- Using Analysis Workspace API for custom integrations
- Creating reusable project components for efficiency
- Version control and documentation for reporting integrity
- Using bookmarks to save and share analysis states
- Collaborating with team members on shared projects
- Setting up role-based access controls
- Documenting reporting logic for audit and succession
Module 9: Mobile, App, and Cross-Platform Analytics - Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Understanding the core value proposition of Adobe Analytics in enterprise ecosystems
- Differentiating Adobe Analytics from Google Analytics and other platforms
- Overview of the Experience Cloud architecture and ecosystem integration
- Key components: Data Collection, Processing, Analysis, Visualisation, Activation
- Introduction to launch tracking and tag management dependencies
- Understanding dimensions vs. metrics at a foundational level
- Data models: Hit, Visit, and User-level data structures
- How data flows from site to report suite
- Types of report suites and their use cases
- Exploring virtual report suites and data views
- Role of data sources and custom reporting
- Introduction to Adobe Experience Platform and CDP convergence
- Understanding standard vs. list variables (sProps and eVars)
- Context data and custom tracking capabilities
- The importance of data governance and taxonomy design
- Setting up naming conventions for long-term scalability
- Understanding session and visit timeout configurations
- Cross-device and cross-domain tracking fundamentals
- Identifying common data quality issues at source level
- Introduction to self-assessment: Measuring current maturity
Module 2: Strategic Frameworks for Analytics Maturity - The Analytics Maturity Model: Reactive, Proactive, Predictive, Prescriptive
- Defining key maturity dimensions: People, Process, Platform, Purpose
- Self-assessment scoring rubric: Quantifying your current stage
- Benchmarking against industry standards for retail, finance, education, and B2B
- Diagnostic tool: The 10-point Adobe Analytics Health Check
- Identifying organisational blockers to analytics adoption
- Role alignment: Analyst, Marketer, Developer, Executive
- Creating a shared analytics vocabulary across teams
- Linking analytics to business outcomes through KPI trees
- Defining success metrics vs. vanity metrics
- Aligning Adobe Analytics with OKRs and business strategy
- The Decision-First Analytics approach to insight planning
- Developing an insight backlog for continuous improvement
- Mapping stakeholder needs to reporting capabilities
- Creating a data charter for governance and accountability
- Audit trail management for compliance and audit readiness
- Risk assessment: Data integrity, privacy, and accuracy threats
- Developing a phased roadmap for analytics transformation
- Resource planning: Time, tools, and team dependencies
- Change management strategies for analytics adoption
Module 3: Configuration Excellence and Implementation Rigour - Implementation checklist: Pre-launch configuration audit
- Validating launch configuration using Browser Developer Tools
- Using the Adobe Debugger for real-time data capture inspection
- Standardising page name, channel, and campaign variables
- Proper use of eVars for conversion attribution
- Setting expiration and allocation logic for eVars
- Using list variables for multi-value tracking
- Implementing custom link tracking with precise syntax
- Tracking outbound links, downloads, and video engagement
- Validating event tracking setup across event types
- Configuring currency and conversion events correctly
- Using merchandising eVars and product syntax
- Debugging product variable issues in e-commerce tracking
- Setting up custom conversion funnels and pathing reports
- Validating cross-domain tracking with correct staging
- Managing referral exclusions and internal traffic filters
- Creating custom traffic and conversion segments
- Setting up weighted allocation models for multi-touch attribution
- Implementing context data for dynamic content tracking
- Using processing rules to transform and clean data
Module 4: Data Validation and Quality Assurance Protocols - The 7-point Data Integrity Assessment Framework
- Identifying duplicate and missing data events
- Validating campaign tagging consistency (UTM parity)
- Checking for inflated page views due to tag firing issues
- Analysing bounce rate anomalies and their root causes
- Detecting bot and spider traffic contamination
- Setting up bot rule filters and internal IP exclusions
- Comparing Adobe Analytics data with server logs
- Validating e-commerce revenue and transaction counts
- Using data cross-validation with Google Analytics
- Creating data reconciliation reports for audit purposes
- Analysing visit and visitor count discrepancies
- Identifying inflated unique visitor metrics
- Validating event persistence across touchpoints
- Checking for proper event deduplication
- Using segment overlap analysis to detect data leaks
- Validating pathing and funnel completion rates
- Assessing time-based data accuracy (time on site, visit duration)
- Using anomaly detection for sudden data spikes or drops
- Documenting data quality issues for remediation
Module 5: Reporting Mastery and Insight Generation - Navigating the Analytics Workspace interface efficiently
- Creating custom dashboards with drag-and-drop components
- Using freeform tables for granular dimension analysis
- Building segmented comparisons with side-by-side panels
- Applying pathing and fallout analysis to user journeys
- Analysing conversion funnels with entry, drop-off, and exit points
- Using flow visualisations to map behavioural pathways
- Creating cohort reports to track user retention
- Analysing attribution with multi-touch models
- Comparing last-touch vs. first-touch performance
- Applying time-saving templates and pre-built project samples
- Using calculated metrics for custom KPIs
- Creating data-driven alerts for key threshold breaches
- Scheduling and automating report delivery
- Exporting reports to PDF, Excel, and PPT formats
- Sharing dashboards securely with stakeholders
- Using annotations to explain data shifts and business events
- Building mobile-optimised reporting dashboards
- Creating executive summaries from complex datasets
- Presenting insights with storytelling techniques
Module 6: Segmentation Strategies for Precise Analysis - Introduction to dynamic segmentation in Adobe Analytics
- Differentiating segments from calculated metrics and filters
- Creating real-time segments for immediate analysis
- Building reusable segment templates for efficiency
- Defining user-based vs. visit-based segments
- Creating segments based on behavioural paths
- Using sequence rules to define journey logic
- Building conversion-based segments (e.g. cart abandoners)
- Creating lookback window segments (7-day, 30-day, lifetime)
- Using frequency and recency segmentation
- Defining high-value visitor profiles
- Analysing segment overlap and exclusivity
- Validating segment accuracy with control metrics
- Applying segments across multiple reports and dashboards
- Sharing and version-controlling segments across teams
- Setting up segment permissions for data security
- Using segment stacking for layered behavioural insights
- Creating predictive segments based on past behaviour
- Measuring segment stability over time
- Exporting segment definitions for documentation
Module 7: Advanced Attribution and Conversion Analysis - Introduction to attribution modelling in digital ecosystems
- Comparing Last Interaction, First Interaction, Linear, U-Shaped, W-Shaped models
- Building custom attribution models using Model Comparison Tool
- Analysing channel contribution across customer journeys
- Evaluating underperforming channels due to misattribution
- Using algorithmic attribution with Contribution and Time Decay models
- Exploring cross-channel attribution with ad spend data
- Integrating offline conversions using Data Sources
- Building multi-level conversion funnels
- Analysing micro-conversions and macro-conversions
- Using assisted conversions report to measure influence
- Calculating incremental lift from digital campaigns
- Validating media mix models with Adobe Analytics inputs
- Measuring customer lifetime value (CLV) from behavioural data
- Tracking cohort-based retention and revenue
- Using path length analysis for journey optimisation
- Analysing time-to-conversion metrics
- Creating custom attribution dashboards
- Reporting on attribution findings to executives
- Recommending budget reallocation based on attribution insights
Module 8: Customisation, Automation, and Integration - Introduction to Data Sources and offline data ingestion
- Importing CRM data to enrich customer profiles
- Linking Adobe Analytics to Salesforce and Microsoft Dynamics
- Using Data Connectors for ERP, POS, and service platforms
- Integrating with Adobe Target for personalisation reporting
- Connecting to Adobe Campaign for cross-channel activation
- Using Adobe Journey Optimisation for real-time decisioning
- Importing custom cost data for ROI analysis
- Building blended data projects across sources
- Creating calculated metrics for business-specific KPIs
- Using report templates to standardise analysis
- Setting up scheduled projects and email alerts
- Export automation via FTP and API connections
- Using Analysis Workspace API for custom integrations
- Creating reusable project components for efficiency
- Version control and documentation for reporting integrity
- Using bookmarks to save and share analysis states
- Collaborating with team members on shared projects
- Setting up role-based access controls
- Documenting reporting logic for audit and succession
Module 9: Mobile, App, and Cross-Platform Analytics - Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Implementation checklist: Pre-launch configuration audit
- Validating launch configuration using Browser Developer Tools
- Using the Adobe Debugger for real-time data capture inspection
- Standardising page name, channel, and campaign variables
- Proper use of eVars for conversion attribution
- Setting expiration and allocation logic for eVars
- Using list variables for multi-value tracking
- Implementing custom link tracking with precise syntax
- Tracking outbound links, downloads, and video engagement
- Validating event tracking setup across event types
- Configuring currency and conversion events correctly
- Using merchandising eVars and product syntax
- Debugging product variable issues in e-commerce tracking
- Setting up custom conversion funnels and pathing reports
- Validating cross-domain tracking with correct staging
- Managing referral exclusions and internal traffic filters
- Creating custom traffic and conversion segments
- Setting up weighted allocation models for multi-touch attribution
- Implementing context data for dynamic content tracking
- Using processing rules to transform and clean data
Module 4: Data Validation and Quality Assurance Protocols - The 7-point Data Integrity Assessment Framework
- Identifying duplicate and missing data events
- Validating campaign tagging consistency (UTM parity)
- Checking for inflated page views due to tag firing issues
- Analysing bounce rate anomalies and their root causes
- Detecting bot and spider traffic contamination
- Setting up bot rule filters and internal IP exclusions
- Comparing Adobe Analytics data with server logs
- Validating e-commerce revenue and transaction counts
- Using data cross-validation with Google Analytics
- Creating data reconciliation reports for audit purposes
- Analysing visit and visitor count discrepancies
- Identifying inflated unique visitor metrics
- Validating event persistence across touchpoints
- Checking for proper event deduplication
- Using segment overlap analysis to detect data leaks
- Validating pathing and funnel completion rates
- Assessing time-based data accuracy (time on site, visit duration)
- Using anomaly detection for sudden data spikes or drops
- Documenting data quality issues for remediation
Module 5: Reporting Mastery and Insight Generation - Navigating the Analytics Workspace interface efficiently
- Creating custom dashboards with drag-and-drop components
- Using freeform tables for granular dimension analysis
- Building segmented comparisons with side-by-side panels
- Applying pathing and fallout analysis to user journeys
- Analysing conversion funnels with entry, drop-off, and exit points
- Using flow visualisations to map behavioural pathways
- Creating cohort reports to track user retention
- Analysing attribution with multi-touch models
- Comparing last-touch vs. first-touch performance
- Applying time-saving templates and pre-built project samples
- Using calculated metrics for custom KPIs
- Creating data-driven alerts for key threshold breaches
- Scheduling and automating report delivery
- Exporting reports to PDF, Excel, and PPT formats
- Sharing dashboards securely with stakeholders
- Using annotations to explain data shifts and business events
- Building mobile-optimised reporting dashboards
- Creating executive summaries from complex datasets
- Presenting insights with storytelling techniques
Module 6: Segmentation Strategies for Precise Analysis - Introduction to dynamic segmentation in Adobe Analytics
- Differentiating segments from calculated metrics and filters
- Creating real-time segments for immediate analysis
- Building reusable segment templates for efficiency
- Defining user-based vs. visit-based segments
- Creating segments based on behavioural paths
- Using sequence rules to define journey logic
- Building conversion-based segments (e.g. cart abandoners)
- Creating lookback window segments (7-day, 30-day, lifetime)
- Using frequency and recency segmentation
- Defining high-value visitor profiles
- Analysing segment overlap and exclusivity
- Validating segment accuracy with control metrics
- Applying segments across multiple reports and dashboards
- Sharing and version-controlling segments across teams
- Setting up segment permissions for data security
- Using segment stacking for layered behavioural insights
- Creating predictive segments based on past behaviour
- Measuring segment stability over time
- Exporting segment definitions for documentation
Module 7: Advanced Attribution and Conversion Analysis - Introduction to attribution modelling in digital ecosystems
- Comparing Last Interaction, First Interaction, Linear, U-Shaped, W-Shaped models
- Building custom attribution models using Model Comparison Tool
- Analysing channel contribution across customer journeys
- Evaluating underperforming channels due to misattribution
- Using algorithmic attribution with Contribution and Time Decay models
- Exploring cross-channel attribution with ad spend data
- Integrating offline conversions using Data Sources
- Building multi-level conversion funnels
- Analysing micro-conversions and macro-conversions
- Using assisted conversions report to measure influence
- Calculating incremental lift from digital campaigns
- Validating media mix models with Adobe Analytics inputs
- Measuring customer lifetime value (CLV) from behavioural data
- Tracking cohort-based retention and revenue
- Using path length analysis for journey optimisation
- Analysing time-to-conversion metrics
- Creating custom attribution dashboards
- Reporting on attribution findings to executives
- Recommending budget reallocation based on attribution insights
Module 8: Customisation, Automation, and Integration - Introduction to Data Sources and offline data ingestion
- Importing CRM data to enrich customer profiles
- Linking Adobe Analytics to Salesforce and Microsoft Dynamics
- Using Data Connectors for ERP, POS, and service platforms
- Integrating with Adobe Target for personalisation reporting
- Connecting to Adobe Campaign for cross-channel activation
- Using Adobe Journey Optimisation for real-time decisioning
- Importing custom cost data for ROI analysis
- Building blended data projects across sources
- Creating calculated metrics for business-specific KPIs
- Using report templates to standardise analysis
- Setting up scheduled projects and email alerts
- Export automation via FTP and API connections
- Using Analysis Workspace API for custom integrations
- Creating reusable project components for efficiency
- Version control and documentation for reporting integrity
- Using bookmarks to save and share analysis states
- Collaborating with team members on shared projects
- Setting up role-based access controls
- Documenting reporting logic for audit and succession
Module 9: Mobile, App, and Cross-Platform Analytics - Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Navigating the Analytics Workspace interface efficiently
- Creating custom dashboards with drag-and-drop components
- Using freeform tables for granular dimension analysis
- Building segmented comparisons with side-by-side panels
- Applying pathing and fallout analysis to user journeys
- Analysing conversion funnels with entry, drop-off, and exit points
- Using flow visualisations to map behavioural pathways
- Creating cohort reports to track user retention
- Analysing attribution with multi-touch models
- Comparing last-touch vs. first-touch performance
- Applying time-saving templates and pre-built project samples
- Using calculated metrics for custom KPIs
- Creating data-driven alerts for key threshold breaches
- Scheduling and automating report delivery
- Exporting reports to PDF, Excel, and PPT formats
- Sharing dashboards securely with stakeholders
- Using annotations to explain data shifts and business events
- Building mobile-optimised reporting dashboards
- Creating executive summaries from complex datasets
- Presenting insights with storytelling techniques
Module 6: Segmentation Strategies for Precise Analysis - Introduction to dynamic segmentation in Adobe Analytics
- Differentiating segments from calculated metrics and filters
- Creating real-time segments for immediate analysis
- Building reusable segment templates for efficiency
- Defining user-based vs. visit-based segments
- Creating segments based on behavioural paths
- Using sequence rules to define journey logic
- Building conversion-based segments (e.g. cart abandoners)
- Creating lookback window segments (7-day, 30-day, lifetime)
- Using frequency and recency segmentation
- Defining high-value visitor profiles
- Analysing segment overlap and exclusivity
- Validating segment accuracy with control metrics
- Applying segments across multiple reports and dashboards
- Sharing and version-controlling segments across teams
- Setting up segment permissions for data security
- Using segment stacking for layered behavioural insights
- Creating predictive segments based on past behaviour
- Measuring segment stability over time
- Exporting segment definitions for documentation
Module 7: Advanced Attribution and Conversion Analysis - Introduction to attribution modelling in digital ecosystems
- Comparing Last Interaction, First Interaction, Linear, U-Shaped, W-Shaped models
- Building custom attribution models using Model Comparison Tool
- Analysing channel contribution across customer journeys
- Evaluating underperforming channels due to misattribution
- Using algorithmic attribution with Contribution and Time Decay models
- Exploring cross-channel attribution with ad spend data
- Integrating offline conversions using Data Sources
- Building multi-level conversion funnels
- Analysing micro-conversions and macro-conversions
- Using assisted conversions report to measure influence
- Calculating incremental lift from digital campaigns
- Validating media mix models with Adobe Analytics inputs
- Measuring customer lifetime value (CLV) from behavioural data
- Tracking cohort-based retention and revenue
- Using path length analysis for journey optimisation
- Analysing time-to-conversion metrics
- Creating custom attribution dashboards
- Reporting on attribution findings to executives
- Recommending budget reallocation based on attribution insights
Module 8: Customisation, Automation, and Integration - Introduction to Data Sources and offline data ingestion
- Importing CRM data to enrich customer profiles
- Linking Adobe Analytics to Salesforce and Microsoft Dynamics
- Using Data Connectors for ERP, POS, and service platforms
- Integrating with Adobe Target for personalisation reporting
- Connecting to Adobe Campaign for cross-channel activation
- Using Adobe Journey Optimisation for real-time decisioning
- Importing custom cost data for ROI analysis
- Building blended data projects across sources
- Creating calculated metrics for business-specific KPIs
- Using report templates to standardise analysis
- Setting up scheduled projects and email alerts
- Export automation via FTP and API connections
- Using Analysis Workspace API for custom integrations
- Creating reusable project components for efficiency
- Version control and documentation for reporting integrity
- Using bookmarks to save and share analysis states
- Collaborating with team members on shared projects
- Setting up role-based access controls
- Documenting reporting logic for audit and succession
Module 9: Mobile, App, and Cross-Platform Analytics - Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Introduction to attribution modelling in digital ecosystems
- Comparing Last Interaction, First Interaction, Linear, U-Shaped, W-Shaped models
- Building custom attribution models using Model Comparison Tool
- Analysing channel contribution across customer journeys
- Evaluating underperforming channels due to misattribution
- Using algorithmic attribution with Contribution and Time Decay models
- Exploring cross-channel attribution with ad spend data
- Integrating offline conversions using Data Sources
- Building multi-level conversion funnels
- Analysing micro-conversions and macro-conversions
- Using assisted conversions report to measure influence
- Calculating incremental lift from digital campaigns
- Validating media mix models with Adobe Analytics inputs
- Measuring customer lifetime value (CLV) from behavioural data
- Tracking cohort-based retention and revenue
- Using path length analysis for journey optimisation
- Analysing time-to-conversion metrics
- Creating custom attribution dashboards
- Reporting on attribution findings to executives
- Recommending budget reallocation based on attribution insights
Module 8: Customisation, Automation, and Integration - Introduction to Data Sources and offline data ingestion
- Importing CRM data to enrich customer profiles
- Linking Adobe Analytics to Salesforce and Microsoft Dynamics
- Using Data Connectors for ERP, POS, and service platforms
- Integrating with Adobe Target for personalisation reporting
- Connecting to Adobe Campaign for cross-channel activation
- Using Adobe Journey Optimisation for real-time decisioning
- Importing custom cost data for ROI analysis
- Building blended data projects across sources
- Creating calculated metrics for business-specific KPIs
- Using report templates to standardise analysis
- Setting up scheduled projects and email alerts
- Export automation via FTP and API connections
- Using Analysis Workspace API for custom integrations
- Creating reusable project components for efficiency
- Version control and documentation for reporting integrity
- Using bookmarks to save and share analysis states
- Collaborating with team members on shared projects
- Setting up role-based access controls
- Documenting reporting logic for audit and succession
Module 9: Mobile, App, and Cross-Platform Analytics - Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Introduction to Adobe Experience Platform Mobile SDK
- Configuring mobile app tracking for iOS and Android
- Tracking screen views, gestures, and in-app events
- Setting up push notification tracking
- Analysing app crashes and performance issues
- Tracking user engagement and retention in mobile apps
- Creating cohort reports for app users
- Analysing in-app purchase funnels
- Measuring subscription churn and renewal rates
- Using attribution for mobile campaign tracking
- Linking mobile data with web behaviour for unified view
- Implementing cross-device ID resolution
- Using Real-Time CDP for unified profiles
- Analysing customer journey across touchpoints
- Setting up location-based event tracking
- Measuring offline engagement triggered by digital actions
- Validating mobile SDK configuration with debugging tools
- Using mobile-specific segments and filters
- Reporting on mobile app performance to product teams
- Integrating with App Store and Google Play data
Module 10: Governance, Compliance, and Audit Readiness - Designing data governance frameworks for Adobe Analytics
- Creating a taxonomy standard operating procedure
- Managing user roles and permissions (Admin, Editor, Viewer)
- Using Admin Console for user provisioning and audit logs
- Setting up multi-suite tagging for testing and production
- Implementing data retention policies
- Ensuring GDPR and CCPA compliance in data collection
- Using Consent Mode and Privacy Tools for regulatory alignment
- Documenting data flows for DPIA submissions
- Conducting internal analytics audits
- Preparing for external compliance audits
- Managing report suite access across departments
- Using version control for tracking configuration changes
- Creating change request workflows
- Archiving deprecated reports and segments
- Using audit logs to trace suspicious activity
- Validating backup and recovery procedures
- Creating a disaster recovery plan for analytics data
- Training new team members with onboarding checklists
- Handing over analytics ownership securely
Module 11: Practical Self-Assessment Tools & Templates - Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form
Module 12: Real-World Projects and Certification Preparation - Project 1: Conduct a full Adobe Analytics Maturity Assessment
- Project 2: Identify and fix 3 critical data quality issues
- Project 3: Build a board-ready insights dashboard
- Project 4: Create a custom attribution model comparison
- Project 5: Audit segment usage and recommend optimisation
- Project 6: Develop a mobile app engagement report
- Project 7: Perform cross-device journey analysis
- Project 8: Prepare a compliance audit package
- Project 9: Present an insight-driven business recommendation
- Project 10: Build a reusable reporting template library
- How to document your project outcomes effectively
- Using the project submission checklist
- Preparing for the final self-assessment
- Reviewing key concepts for mastery certification
- Practising with diagnostic quizzes and scenario analysis
- Time management strategies for completing assessments
- Accessing peer-reviewed exemplars for reference
- Submitting your final work for evaluation
- Receiving feedback and improvement points
- Claiming your Certificate of Completion from The Art of Service
- Self-assessment Tool 1: 50-point Adobe Analytics Maturity Scorecard
- Self-assessment Tool 2: Implementation Accuracy Checker
- Self-assessment Tool 3: Data Quality Audit Framework
- Self-assessment Tool 4: Reporting Efficiency Grader
- Self-assessment Tool 5: Segment Usage and Coverage Analyzer
- Self-assessment Tool 6: Attribution Model Validation Matrix
- Self-assessment Tool 7: Cross-Channel Consistency Validator
- Self-assessment Tool 8: Mobile App Tracking Completeness Review
- Self-assessment Tool 9: Governance and Compliance Checklist
- Self-assessment Tool 10: Stakeholder Confidence Survey
- Template 1: Analytics Status Report for Executives
- Template 2: Implementation Gap Log
- Template 3: Data Reconciliation Statement
- Template 4: Quarterly Analytics Roadmap
- Template 5: Cross-Functional Collaboration Agreement
- Template 6: Tagging Standards Document
- Template 7: Segment Library Register
- Template 8: Dashboard Catalogue for Governance
- Template 9: Change Request Form for Analytics
- Template 10: Certificate of Completion Application Form