Visualizations for Customer Journey Analysis
Understand the visualizations available in Adobe Analytics that support analyzing digital touch-points for your customer's journeys.
Create a fallout visualization
Fallout visualizations in Analysis Workspace are used to explore where customers fall through or fall out of key flows on your digital properties. Understand how to add several types of touch points and how to create and use segments in this component.
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Create a flow visualization
Flow visualizations are used to explore the exact journeys customers have with your brand. Flow can be applied to Pages, Marketing Channels, and any other dimension or mix of dimensions that you collect.
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Understand your data--Fallout & Flow
Learn how our pathing and funnel tools work together to better understand insights from user journeys.
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Overview of Cohort Tables in Analysis Workspace
The Rolling Calculation setting within Cohort Tables can be used to analyze cohorts period-over-period, to understand how the same users are retained (or churn) over time.
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Cohort Table settings
Learn how to customize your view of retention or churn tables using Cohort Table settings.
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Churn Analysis with Cohort Tables
Cohort Tables offer two analysis types - Retention and Churn. While Retention shows how many users are retained over time, the Churn option will depict how many users were lost (1 - Retention).
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Cohort Analysis Using Any Dimension
The Custom Cohort Dimension option allows you to analyze cohorts using dimensions other than time. Compare cohorts by Marketing Channel, campaign region, product page, etc. to better understand how retention (or churn) changes by dimension item.
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Latency Analysis with Cohort Tables
The Latency Table setting in Cohort Tables allows you to analyze behavior of your cohorts before and after the inclusion event (not just after like standard Cohort depicts). This setting is helpful for analyzing the impact of a new product or campaign launch, as an example.
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Calculate Rolling Retention in Cohort Tables
The Rolling Calculation setting within Cohort Tables can be used to analyze cohorts period-over-period, to understand how the same users are retained (or churn) over time.
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