What visualizations does Customer Journey Analytics offer?
Our latest journey visualization, Journey Canvas, allows for multi-node journey analysis that includes metrics, dimensions and breakdowns. Toggle to "show fallout" for even more data richness. In this example, we're showing how marketing channels lead to credit card applications. Once a customer gets to the final step, do they complete the application, visit a branch or call into the call center (and why?).
A Flow visualization helps to visualize paths I didn't expect my customers to take. In this example, I am ending the flow with a call into the call center. I can see what call reasons are driving the most calls and understand what page a customer was on prior to their call. I can click on nodes to dive deeper into these paths.
A Cohort Table allows us to understand retention or churn. In this example, the inclusion criteria is anyone that opened a new account in this time period. The return is when those customers logged into their app for the first time. This could be helpful in understand how we get new account holders to use the app and make them "stickier".
Experimentation Panel allows users to analyze Adobe and non-Adobe test and experiments with lift and confidence metrics. Customers frequently use this for Target tests and to understand metrics that include both online and offline data. More information on Experimentation Panel can be found HERE.
With our Guided Analysis visualizations, users can create "forked" Funnel visualizations to compare funnels. In this example, a brand had multiple "step 1" steps based on the customer's employer. They wanted to compare these funnels to one another.
Active Growth is part of our Guided Analysis visualization offering. This visualization allows users to quickly, within 1-2 clicks, understand if users are taking an action month over month (or any time period). In this example, a brand wanted to know how many dormant app users they had month over month. They know that stickier customers use their app to check their account and wanted to keep a pulse on this metric.