---
title: Lab 3: Customer Journey Analytics
slug: indigo/lab-3-customer-journey-analytics
docTags: 
createdAt: 2023-12-19T04:05:09.101Z
---

In this module you will learn how Customer Journey Analytics (CJA) can analyse the omni-channel data that you've collected into Adobe Experience Platform.  &#x20;

## Learning Objectives

- Learn how to create a reporting dashboard showing key KPIs across online and offline channels
- Learn how to leverage profile attributes as filters
- Learn how to use multiple attribution models to analyse your marketing campaigns including cross channel conversions
- Learn how to visualise your customers journey across all of your channels
- Learn how to find and resolve customer friction points in a multi-step process through fall out analysis
- Learn how to create a CDP Audience based on an insight gathered in Customer Journey Analytics

## Access

Click on the 9 dots and select **Customer Journey Analytics**&#x20;

![](https://api.archbee.com/api/optimize/1Jp0iolWv35Z_mkI7oUiT/TpfX3vx4jptH9oNqi5c3I_image.png)

## About Customer Journey Analytics

Customer journey Analytics is the Omni-channel reporting application built on Adobe Experience Platform.  It is able to access all of the data ingested into the Platform.   &#x20;

Some of the common use cases for CJA include:

- Call Center Deflection - understand what are doing online before and after making a call to the call center
- Cross Channel Attribution - understand the full impact of your marketing campaign by including offline conversions in your attribution analysis.&#x20;
- Cross Platform Analysis - understand when customers start a journey on one platform (device or website) but complete it on another.&#x20;

If you are familiar with Adobe Analytics many of the visualisations and UI features will already be familiar to you as it leverages the same Analysis Workspace.   Some key differences are:

- Segments are now known as 'Filters'
- Virtual Report Suites are now known as 'Data Views'&#x20;
- Classifications are now known as 'Lookup datasets'
- Customer attributes are now known as 'Profile datasets'
- Hit containers are now known as 'Event' containers
- Visit containers are now known as 'Session' containers
- Visitor containers are now known as 'Person' containers
- Processing Rules are now known as 'Derived Fields'&#x20;

You can see a full feature list comparison [here](https://experienceleague.adobe.com/docs/analytics-platform/using/compare-aa-cja/cja-aa-comparison/cja-aa.html?lang=en).

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