Customer Journey Analytics Guide
Release Notes
- Latest release
- 2023 releases
- 2022 releases
- 2021 releases
- 2020 releases
- CJA releases
- CJA documentation updates
Getting Started
- Customer Journey Analytics overview
- Quick start guide
- Landing page
- Frequently asked questions
- Compare CJA to BI solutions
Customer Journey Analytics and Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Comparison with Adobe Analytics
Data Ingestion
- Data Ingestion Overview
- Ingest and use quick start guides
Connections
- Connections overview
- Create a connection
- Manage connections
- Combined event datasets
- Standard lookups
- Cross-Channel Analytics
Data Views
- Data views overview
- Create or edit a data view
- Component Settings
- Standard component reference
- Labels and policies
Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Visualizations
- Panels
- Curate, Share and Schedule projects
- Virtual Analyst
  - Virtual Analyst overview
  - Anomaly Detection
- User preferences
- Workspace FAQs
Analytics dashboards
- Analytics dashboards - Overview
- Curator tasks
- Create a mobile scorecard
- Set up executives to use dashboards
- Executive user quick start guide
Guided analysis
- Overview
- Analysis types
  - Overview
  - Funnel
  - Trends
  - User growth
- FAQ
Components
- Components overview
- Add component descriptions
- Annotations
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Calendar and date ranges
- Data Dictionary
Report Builder
- Report Builder Overview
- Report Builder Set Up
- Create a Data Block
- Report Builder Hub
- Select a Data View
- Select a Date Range
- Work with Filters
- Filter Dimensions
- Manage Data Blocks
- Schedule Workbooks
- Restricted Labels
- Report Builder Settings
Cross-Channel Analytics
- Cross-Channel Analytics overview
- How replays work
- Cross-Channel Analytics FAQ
Adobe integrations
- Integrate Adobe solutions with CJA overview
- Integrate Adobe Analytics with Customer Journey Analytics
- Integrate Journey Optimizer data with CJA
- Integrate Decision Management data with CJA
- Integrate Customer AI with CJA
Data Governance
- Data Governance
- Audit Log
- Customer Managed Keys
Use cases
- Customer Journey Analytics use cases
- Google Analytics data
- Data ingestion
  - Ingest Marketo Engage data into AEP and report in CJA
  - Ingest AEP audiences into CJA
- Data views
  - Data views use cases
  - Use binding dimensions and metrics
- B2B
  - Add account-level data as a lookup dataset
- Cross-channel data
  - Analyze data across channels
  - Import call center and web data
- Adobe Analytics data
  - Use Marketing channel dimensions
  - Combine report suites with different schemas
- Complex data
  - Use arrays of objects
Administration
- Access Control
- View and manage usage
- Deletion implications
- Optimize CJA performance
Labs
- Labs User Guide
Troubleshooting
- Compare your Adobe Analytics data to CJA data
- Consistency of metrics and audience membership counts between Real-time CDP and CJA
CJA glossary
CJA API

Calculated metrics overview

Calculated and Advanced Calculated (or Derived) Metrics are custom metrics that you can create from existing metrics. Our Calculated Metrics tools offer a highly flexible way of building, managing and curating metrics. They allow you as marketers, product managers and analysts to ask questions of the data without having to change your implementation.

You can

Create filtered metrics that are derived at report run time, without having to change the implementation. These can be viewed historically because they are based on filters.
(Advanced Calculated Metrics only) Filter on metrics. For example, you can create a metric for “New persons”, with a count of people for whom this is the first session.
(Advanced Calculated Metrics only) Incorporate statistical functions to help you better describe your data. For example, you can count the number of items in a report or add in the number of standard deviations for each item.

Calculated metrics versus advanced calculated metrics

Here is a comparison of Calculated Metrics and Advanced Calculated Metrics capabilities:

Builder Options	Calculated Metrics	Advanced Calculated (Derived) Metrics
Format types (decimal, time, percent, currency	Yes	Yes
Attribution changes (default, linear, participation, etc.	Yes	Yes
Metric types (standard, total	Yes	Yes
Basic operators (add, subtract, multiply, divide)	Yes	Yes
Apply filters	No	Yes
Basic functions (count, abs value, mean, etc)	No	Yes
Advanced functions (regression, if/then, t-score, etc)	No	Yes

Tools

Tool	Capabilities
Calculated metric builder	Create calculated and advanced calculated metrics using advanced allocation models. Add filters inline to metric formulas. Compare filters in the same report. For example, compare local persons vs. international persons. Use statistical functions. Provide detailed metric descriptions (show what it does, where to use it, where NOT to use it). Copy definitions into new metrics. Provide an inline metric preview. Set metric polarity, which indicates whether it’s good or bad if a given custom event (metric) goes up. Tag metrics.
Calculated metric manager	Share metrics with others. Approve and curate metrics. Organize (tag) your metrics so people can find them. Delete metrics. Rename metrics.
API for Calculated Metrics	Part of the CJA API set.

Calculated Metrics templates in CJA

Calculated Metric Name	Calculated Metric description
Sessions Per Person	Average number of sessions per person
Session Start Rate	The percent of time that any dimension item occurred on the first event of a session.
Session End Rate	The percent of time that any dimension item occurred on the last event of a session.
Time Spent per Person	The average amount of time a person spent on any given dimension item.
Time Spent Per Session	The average amount of time a person spent per Session on any given dimension item.