- Analytics tutorials
- Introduction to Analytics
- What is analytics
- What Can Adobe Analytics Do For Me?
- How Adobe Analysis Workspace Can Change Your Business
- It’s More Than Data. It’s Customer Intelligence
- Adobe Sensei and Adobe Analytics
- Customer Use Case - ServiceNow
- Customer Use Case - Accent Group
- Customer Use Case - The Home Depot
- Summit 2019 Super Session - Travel and Hospitality
- Summit 2019 Super Session - Retail
- Summit 2019 Super Session - High Tech
- Strategy & thought leadership
- Transitioning from other platforms
- Analytics Basics
- Try in Workspace Button in Reports and Analytics
- Understanding the Analytics Cycle
- How Analytics Data is Collected
- Logging in to Adobe Analytics
- Intro to the Analytics UI
- Understanding and Creating Report Suites
- Understanding Basic Visitor Metrics
- Introduction to Traffic Variables (Props)
- Introduction to Conversion Variables (eVars)
- Introduction to Conversion Events
- Customizing the UI
- Getting Help
- Analysis Workspace
- Analysis Workspace Basics
- Analysis Workspace quick intro
- Analysis Workspace overview
- Navigate the new landing page
- Building a Workspace project from scratch
- Create and manage custom templates in Analysis Workspace
- Understanding how data gets into your Analysis Workspace project
- Foundational metrics in Adobe Analytics
- Component management in Analysis Workspace
- Selecting a report suite in Analysis Workspace
- View Analysis Workspace performance metrics
- Tips and Tricks
- Navigating Workspace Projects
- Using Panels
- Using Tables, Visualizations, and Panels in Analysis Workspace
- Quick Insights Panel in Analysis Workspace
- Using the Attribution IQ Panel
- Media Concurrent Viewers Panel in Analysis Workspace
- Media Playback Time Spent Panel
- Using Drop-down Filters
- Using Panels to Organize your Analysis Workspace Projects
- Choose segments for a panel
- Multiple Report Suites in Analysis Workspace
- Next/Previous and Page Summary Workspace Panels & Reports
- Building Freeform Tables
- Understand your data–freeform tables
- Use the left rail to build freeform tables
- Easy drag and drop to blank projects
- Work with dimensions in a freeform table
- Work with metrics in a freeform table
- Row and column settings in freeform tables
- Freeform table totals
- Use the freeform table builder
- Right-click for workspace efficiency
- Reorder static rows
- Use Attribution IQ in freeform tables
- Cross-sell analysis
- Freeform table filters
- Time-parting dimensions
- Visualizations
- Data visualization in Analysis Workspace
- Visualization types
- Visualization use cases
- Selecting data to visualize
- Getting data into visualizations
- Using component dropdowns in Workspace
- Area and area stacked visualizations
- Bar and bar stacked visualizations
- Bullet graph visualization
- Donut visualization
- Histogram visualization
- Line visualization
- Combo charts
- Adding trend lines to line visualizations
- Map visualization
- Summary number and summary change visualizations
- Key metric summary visualization
- Text visualization
- Scatterplot visualization
- Treemap visualization
- Venn diagram visualization
- Using the cumulative average function to apply metric smoothing
- Flexible layouts
- Changing the scale/axis on visualizations
- Dimension-graph live linking
- Granularity toggle
- Intra-linking in Analysis Workspace
- Rearranging and resizing visualizations
- Customize visualization legends
- 100% stacked visualizations
- Table and visualization data source settings
- Build a time-parting heatmap
- Analyzing Customer Journeys
- Applying Segments
- Metrics
- Dimensions
- Calendar and Date Ranges
- Curate and Share Projects
- Saving, Sharing, and Collaborating on Projects in Analysis Workspace
- Curation and Sharing in Analysis Workspace
- Direct Link to a project
- Download 50,000 Items as CSV
- Export to CSV and PDF from Analysis Workspace
- Share embedded components
- Schedule and Downloadable Projects
- Project Sharing in Analysis Workspace
- View-only Projects in Analysis Workspace
- Attribution IQ
- Using Cross-tab Analysis to Explore Basic Marketing Attribution
- Adding side-by-side comparisons of Attribution IQ Models
- Attribution IQ in Calculated Metrics
- Using Attribution IQ in Freeform Tables
- Using the Attribution IQ Panel
- Using different Attribution IQ models with segments
- Algorithmic Model in Attribution IQ
- Custom Look-back Windows in Attribution IQ
- Cohort Analysis
- Voice Analytics
- How to Manage and Track Your Voice Assistant App Data
- Understand Differences Across Voice-Enabled Devices
- Finding Opportunities To Increase Engagement for Voice Apps
- Reducing Error Rates and Improving Success Rates in Your Voice App
- Understand User Behavior on Voice Assistants
- Understanding the User’s Voice Journey
- Analysis Workspace Basics
- Reports and Analytics
- Administration
- Key Admin Skills
- Creating an empowered community
- Simplify and spend less time training users
- Getting the Right People on Your Analytics Team
- Gaining a seat at the table
- Telling impactful stories with data
- Translating Adobe Analytics technical language in a non-technical way
- Working cross-functionally
- Are you asking the right questions?
- Admin Tips and Best Practices
- Company Settings
- User Management
- Manage Report Suites
- How to Configure General Account Settings
- Customize Calendar Settings
- Configure Paid Search Detection
- Set up marketing channels
- Create marketing channel processing rules
- Customize Menus in Reports & Analytics
- Manipulating incoming data with Processing Rules
- Configuring Traffic Variables (props)
- Configure traffic classifications
- Configure hierarchy variables
- Configuring Variables in the Admin Console
- Configure conversion classifications
- Configuring List Variables
- Configure Finding Methods
- Set Internal URL Filters
- Configuring Zip and Postal Code Settings
- Enable the Timestamp Optional setting
- Configure bot rules in Analytics
- Data Governance and GDPR
- Traffic Management
- Logs
- Key Admin Skills
- Implementation
- Implementation Basics
- First-time Implementation
- Understanding and Creating Report Suites
- Map contextData Variables into Props and Evars with Processing Rules
- How to Identify Your Analytics Tracking Server and Report Suites
- Creating a Business Requirements Document
- Creating and Maintaining an SDR
- Using a Data Layer on your Site
- Via Experience Platform Launch
- Implementing the Experience Cloud in Websites with Experience Platform Launch
- Basic Configuration of the Analytics Launch extension
- Configuring Library Management for Analytics
- Configuring General Settings in the Launch Analytics Extension
- Configuring Global Variables in the Launch Analytics Extension
- Configuring Cookie Settings in the Launch Analytics Extension
- Using Custom Code while Configuring the Launch Analytics Extension
- Using a Data Layer to set Page Name and Other Variables via Launch
- Adding Implementation Plug-ins in Launch
- Use doPlugins in the Adobe Analytics Extension
- Configuring Easy Download Link Tracking
- Configuring Easy Exit Link Tracking
- Preparing Experience Platform Launch for your Analytics Implementation
- Creating Data Elements in Experience Platform Launch for the Analytics Implementation
- Creating a Global Page Rule in Experience Platform Launch
- Validating your Global Page Load Rule in Experience Platform Launch
- Creating Experience Platform Launch Rules for Special Pages
- Creating Experience Platform Launch Rules for Success Events
- Publishing Experience Platform Launch Libraries to Stage and Production
- Using JavaScript
- Validating and Troubleshooting
- SPA Pages
- Implementation Basics
- Components
- Segmentation
- Segment Builder Overview
- Finding and creating segments
- Rolling Date Ranges in Segments
- Segment Comparison in Analysis Workspace
- Segment containers
- Segment Management and Sharing
- Using Segments in Analysis Workspace
- Using Segments as Dimensions in Analysis Workspace
- Using segments to limit data in Analysis Workspace
- Sequential Segmentation
- Before/After Sequences in Sequential Segmentation
- Segmentation on Distinct Dimension Counts
- Dimension Models in Segmentation
- Equals Any Of Operator in Segmentation
- Analytics Insider Webinar - Customer Segmentation Strategies
- Calculated Metrics
- Approximate Count Distinct Function in Calculated Metrics
- Attribution IQ in Calculated Metrics
- Calculated Metrics - Metric Builder
- Calculated Metrics - Functions
- Calculated Metrics - Implementation-less Metrics
- Calculated Metrics - Segmented Metrics
- Calculated Metrics - Metric Selector
- Quick Calculated Metrics in Analysis Workspace
- Using Dimensions in Calculated Metrics
- Classifications
- Virtual Report Suites
- Activity Map
- Segmentation
- Additional Tools
- Exporting
- From the UI
- Data Warehouse
- Data Feeds
- Report Builder
- Add Segments to Multiple Requests at Once in Report Builder
- Anomaly Detection in Report Builder
- Edit Metrics across Requests
- Using Report Builder to learn the Adobe Analytics API
- Get started with Report Builder
- Schedule a Report Builder request
- Use Report Builder advanced delivery options for Power BI
- Integrations
- Experience Cloud
- Audience Manager
- Target
- Ad Cloud
- Configuring Advertising Analytics
- Implementing Tracking Templates into Search Engines
- Introduction to the Analytics for Advertising Cloud DSP Integration
- Create a Pre-launch Campaign Analysis
- Reporting with Advertising Cloud Marketing Channels
- Create Analytics Site Journey Profiles
- Create Analytics Segments for Activation and Reporting
- Create Advertising Cloud Alerts with Adobe Analytics
- Create Analytics Custom Metrics with Advertising Cloud Data
- Create Advertising Cloud Site Entry Reports
- Create Advertising Cloud Dashboards
- Ad Hoc Analytics
- Power BI
- Magento
- Data Science
- Vertical-Specific
- Media Analytics
- Mobile App Analytics
- APIs
- Analysis Use Cases
Dimension Models in Segmentation
Dimension models are available through the gear for any dimension in segmentation. These models are primarily helpful for sequential segmentation, and allow you to segment for persisted values of a dimension (default), instances, or non-repeating instances of a dimension.
INFO
This video is part of a course Filtering your data with custom segmentation and dates, available for free on Experience League!
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