CUSTOMER JOURNEY ANALYTICS
See every action in the customer journey, regardless of changing market forces
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Customer Journey Analytics is a service built on Adobe Experience Platform that lets you join all of your data from every channel into a single interface for real-time, omnichannel analysis and visualization, allowing you to make better decisions with a holistic view of your business and the context behind every customer action.
Connect all your customer data together
Connect and standardise data from every online or off-line source in Experience Platform for fast, non-destructive querying, analysis and modelling..
Interactively explore the whole journey
Visualise a customer’s journey across multiple channels sequentially, putting each action in context and enabling cross-channel analysis of things like flow and fallout.
Drive customer engagement with AI-powered insights
Unify marketing performance measurement to enable both strategic planning and tactical in-market optimisation.
Make it easy for anyone to use customer journey data
Give anyone in your company who is responsible for customer experience the ability to make data-driven decisions informed by a complete picture of a customer’s actions.
Provide executive access with our dashboard app
The Customer Journey Analytics dashboards app enables executives and business users to easily get real-time access to cross-channel insights from their mobile devices.
Unlock the power of data science
Provide access to data science tools that anyone can use to unlock deeper insights and perform more powerful analysis.
Get value faster
Discover customer insights from combined online and off-line engagement in minutes instead of days or weeks.
How Customer Journey Analytics compares to existing business intelligence (BI) solutions
Use Case |
Customer Journey Analytics |
Existing BI systems |
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Comparing orders made on the web, in an app, at point of sale and through a call centre. |
Track product purchases across channels in a single interface with integrated product, order and revenue metrics. |
This requires complicated data science and is quickly out of date. |
|
Learning why website visitors call customer service. |
Build your analysis with the right metrics in minutes that show which web pages prompt the most call centre calls. |
Comparable metrics and analysis take weeks to build. |
|
Tracking customers from ad impression to web visit to in-store visit. |
Build flow analysis charts for individual segments or customers across channels. |
This is not possible with existing stacks. |
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Allowing executives to view Black Friday in-store and online traffic in real time. |
Create easy to use, self-serve data views that update in real time. |
Analysis of Black Friday is not available for executives until days or weeks later. |