- Adobe Customer Journey Analytics Guide
- Release Notes
- Getting Started
- Customer Journey Analytics and Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Comparison with Adobe Analytics
- Overview
- Utilize Adobe Analytics data in Customer Journey Analytics
- Customer Journey Analytics feature support
- Compare terminology for Analytics data passed through the Analytics source connector
- Compare data processing across Adobe Analytics and Customer Journey Analytics
- Virtual reporting environments and sandbox environments
- Processing Rules, VISTA and classifications versus Data Prep
- AAID, ECID, AACUSTOMID and the Analytics source connector
- Data Ingestion
- Connections
- Data Views
- Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Visualizations
- Visualizations overview
- Manage data sources
- Freeform table
- Cohort Table
- Fallout
- Flow
- Area and area stacked
- Bar and bar stacked
- Bullet graph
- Combo chart
- Donut
- Histogram
- Horizontal Bar and Horizontal Bar Stacked
- Intelligent captions
- Key metric summary
- Line
- Scatterplot
- Summary Number and Summary Change
- Text
- Tree map
- Venn
- Panels
- Curate, Share and Schedule projects
- Export
- Anomaly Detection
- User preferences
- Workspace FAQs
- Analytics dashboards
- Guided analysis
- Components
- Components overview
- Add component descriptions
- Annotations
- Scheduled project
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Calculated metrics overview
- Calculated metrics workflow
- Calculated metrics workflow
- Find metrics
- Build metrics
- Metric type and attribution
- Build a participation metric
- Filtered metrics
- Stack and replace filters
- Filtered and weighted metrics
- Filter calculated metrics
- Mark calculated metrics as favorites
- Copy calculated metrics
- Use functions
- Tag calculated metrics
- Approve calculated metrics
- Share calculated metrics
- Calculated metric manager
- Default calculated metrics
- Basic functions
- Advanced functions
- Calendar and date ranges
- Exports
- Data Dictionary
- Report Builder
- Reporting Activity Manager
- Stitching
- Adobe integrations
- Integrate Adobe solutions with Customer Journey Analytics overview
- Integrate Adobe Analytics with Customer Journey Analytics
- Integrate Journey Optimizer data with Customer Journey Analytics
- Integrate Decision Management data with Customer Journey Analytics
- Integrate Customer AI with Customer Journey Analytics
- Data Governance
- Use cases
- Administration
- Labs
- Troubleshooting
- Customer Journey Analytics glossary
- Customer Journey Analytics API
What is Cohort Analysis?
A cohort is a group of people sharing common characteristics over a specified period. Cohort Analysis is useful, for example, when you want to learn how a cohort engages with a brand. You can easily spot changes in trends, then respond accordingly. (Explanations of Cohort Analysis are available on the web, such as at Cohort Analysis 101.)
After creating a cohort report, you can curate its components (specific dimensions, metrics, and filters), then share the cohort report with anyone. See Curate and Share.
Examples of what you can do with Cohort Analysis:
- Launch campaigns designed to spur a desired action.
- Shift marketing budget at exactly the right time in the customer lifecycle.
- Recognize when to end a trial or an offer, in order to maximize value.
- Gain ideas for A/B testing in areas such as pricing, upgrade path, and so on.
Cohort Analysis is available for all Customer Journey Analytics customers with access rights to Analysis Workspace.
Cohort Analysis video tutorial (4:36)
Cohort Analysis does not support non-filterable metrics (including calculated metrics), non-integer metrics (such as Revenue), or Occurrences. Only metrics that can be used in filters can be used in Cohort Analysis, and they can only be incremented 1 at a time.
Cohort Analysis capabilities
The following capabilities allow for fine-tuned control over the cohorts you are building:
Retention Table
A Retention cohort report returns persons: each data cell shows the raw number and percentage of persons in the cohort who did the action during that time period. You can include up to 3 metrics and up to 10 filters.
Churn Table
A Churn cohort is the inverse of a retention table and shows the persons who fell out or never met the return criteria for your cohort over time. You can include up to 3 metrics and up to 10 filters.
Rolling Calculation
Lets you calculate retention or churn based on the previous column, not the included column.
Latency Table
Measures the time that has elapsed before and after the inclusion event occurred. This is an excellent tool for pre/post analysis. The Included column is in the center of the table and time periods before and after the inclusion event are shown on both sides.
Custom Dimension Cohort
Create cohorts based on a selected dimension, and not time-based cohorts, which are the default. Use dimensions such as marketing channel, campaign, product, page, region, or any other dimension in Customer Journey Analytics to show how retention changes based on the different values of these dimensions.
For instructions on how to set up and run a cohort report, go to Configure a Cohort Analysis report.
Resources
Adobe Account
