Flow Analysis

Use a flow analysis to view your customers’ journeys, seeing where they go as well as where they leave your apps and sites.

Why use Flow Analysis?

Knowing how customers move through your site or app — which pages they visit, how they got there, where they went, and where they left — is critical to crafting meaningful customer journeys. But with so much data and so many customers, it’s hard to get this information correctly. 

With Adobe Analytics, you get robust flow and fallout analysis baked into our Analysis Workspace feature. This allows you to dynamically see customer paths and understand where there may be barriers and opportunities to improve your customer’s experience.

Analyze what you need.

Mix and match values from different dimensions and metrics and perform side-by-side comparisons of two different segments in the same report.

Control the flow.

Drag, drop, and rearrange touchpoints along the visualization to understand your customer actions better.

Understand the fallout.

Create a multi-dimensional fallout report to Identify where customers go immediately after leaving your site or app.

Learn more about flow analysis in Adobe Analytics.

See a flow visualization in action.

Let us walk you through a flow visualization in Adobe Analytics to see and understand user movement.

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Configure a flow visualization.

In our user help section, see an example of  how you could visualize user paths across dimensions.

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See inter-dimensional flows.

In our user help section, see an example of how you could visualize user paths across dimensions.

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See related features.

Advanced segmentation

Our Segmentation IQ feature allows you to discover the most statistically significant differences among an unlimited number of segments through an automated analysis of every metric and dimension. Automatically uncover key characteristics of the segments that are driving your company’s KPIs.

Ad hoc analysis

With our Analysis Workspace feature, you get a robust, flexible canvas for building custom analysis projects. Drag and drop any number of data tables, visualizations, and components (channels, dimensions, metrics, segments, and time granularities) to a project.

Anomaly detection

Statistical modeling automatically finds unexpected trends in your data by analyzing metrics and determining a lower bound, upper bound, and expected range of values. When an unexpected spike or drop occurs, the system alerts you in the report.

Let's talk about what Adobe Analytics can do for your business.