Cohort table overview cohort-table-overview
A cohort is a group of people sharing common characteristics over a specified period. A
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 a Cohort table:
- 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 to maximize value.
- Gain ideas for A/B testing in areas such as pricing, upgrade path, and so on.
Cohort table is available for all Customer Journey Analytics customers with access rights to Analysis Workspace.
| embed |
|---|
|
|
This video demonstrates the functionality using Adobe Analytics. However, the functionality is similarly available in Customer Journey Analytics. Be aware of the following differences in terminlogy.
| table 0-row-2 1-row-2 2-row-2 3-row-2 4-row-2 1-align-center 2-align-center 4-align-center 5-align-center 7-align-center 8-align-center 10-align-center 11-align-center 13-align-center 14-align-center | |
|---|---|
| Adobe Analytics | Customer Journey Analytics |
| Segments | Filters |
| Visitor | Person |
| Visit | Session |
| Hit | Event |
Cohort table capabilities
The following capabilities allow for fine-tuned control over the cohorts you are building:
Retention table
A Retention cohort table 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 table 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
You can calculate retention or churn based on the previous column, not the included column, which is referred to as rolling calculation.
Latency table
A latency table measures the time that has elapsed before and after the inclusion event occurred. Measuring latency is an excellent tool for pre- and 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
You can create cohorts based on a selected dimension, and not time-based cohorts (which are the default). Use dimensions such as City geo, Marketing channel, campaign, product, page, region, or any other dimension to show how retention changes. Based on the different values of these dimensions.
