Online data. Off-line data. It’s all the same to us.

Experience Customer Journey Analytics in action

Watch an overview of the analytics application that gives every team real-time, cross-channel insights.

Your customers are trying to tell you something. Are you getting the message?

According to research from Forrester Consulting, customers interact with a minimum of eight touchpoints before finally making a purchase. Keeping up with them as they jump from digital channels to in-person experiences is difficult. Disconnected data points keep valuable insights frustratingly out of reach. Without cross-channel insights, you can’t pinpoint where conversion happened (or broke down), nor can you respond to changing customer needs and market trends — all of which happen at a moments notice.

The first step to staying on top of complex customer journeys is stitching that data together — all the data — so you have a complete view of how your customers act.

Adobe can help.

Adobe Customer Journey Analytics simplifies complex customer journeys by connecting data from any and all sources — both online and off-line — letting you see the whole thing. It shortens the time it takes to uncover insights by stitching disparate data points into a complete, up-to-the-minute picture of your customer. With this complete view at hand, teams tasked with creating customer experiences can act on insights that were previously out of reach.

Here’s how we connect data into an elegant customer picture:

A unified dataset - Connect IDs from online and off-line channels, as well as across devices into a single, unified customer profile.

Flexible data modelling - Stitch and combine disparate data sources into one actionable data view using Experience Data Modelling (XDM) powered by Adobe Experience Platform.

Data-driven decision making - Pinpoint the touchpoints that impact conversion most so you can focus your resources on customer experiences that move the needle.

Democratised data access - Give teams the insights they need with unlimited breakdowns of any data element — without relying on a dedicated data science team to run SQL queries.