- Adobe Customer Journey Analytics Guide
- Release Notes
- Get started
- Customer Journey Analytics and Adobe Analytics
- Upgrade to Customer Journey Analytics
- Recommended upgrade process
- Architect and create a schema
- Create a datastream
- Create datasets
- Implement the Web SDK with tags
- Implement the Web SDK manually
- Implement the Web SDK with the API
- Create a connection
- Create a data view
- Create a marketing channel derived field
- Validate data flow
- Set up Streaming Media Collection
- Retain historical data with the Analytics source connector
- Evaluate when to disable Adobe Analytics
- Disable Adobe Analytics
- Alternative upgrade methods
- Other upgrade scenarios
- Additional information
- Comparison with Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Upgrade to Customer Journey Analytics
- Data ingestion
- Connections
- Data Views
- Tools
- Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Templates
- Visualizations
- Panels
- Curate, share and schedule projects
- Export
- Anomaly Detection
- Forecasting
- Table of contents
- User preferences
- Workspace FAQs and more
- Analytics dashboards
- Guided analysis
- Components
- Overview
- Use components in Analysis Workspace
- Add component descriptions
- Annotations
- Scheduled projects
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Overview
- Calculated metrics workflow
- Create calculated metrics
- Build calculated metrics
- Find metrics
- Metric type and attribution
- Build a participation metric
- Filtered metrics
- Stack and replace filters
- Filter calculated metrics
- Mark calculated metrics as favorites
- Copy calculated metrics
- Use functions
- Tag calculated metrics
- Approve calculated metrics
- Share calculated metrics
- Manage calculated metrics
- Examples
- Calculated metrics templates
- Basic functions
- Advanced functions
- Date ranges
- Alerts
- Exports
- Data Dictionary
- Report Builder
- Reporting Activity Manager
- Stitching
- Adobe integrations
- Data Governance
- Use cases
- Labs
- Troubleshooting
- Tech notes
- Customer Journey Analytics API
Bullet
This article documents the Bullet visualization in 
Customer Journey Analytics.
See Bullet for the 
Adobe Analytics version of this article.
The 
Bullet visualization shows how a metric compares to, or measures against, performance ranges (goals).
The bullet graph features a single, primary measure (for example, current year-to-date revenue) and allows you to enter qualitative ranges performance ranges (for example, compared to a target revenue). You can specify high, medium, and low goal ranges. You can specify goal ranges in 
Settings.
See 
Bullet graph visualization for a demo video.
This video demonstrates the functionality using Adobe Analytics. However, the functionality is similarly available in Customer Journey Analytics. Be aware of the differences in terminology between Adobe Analytics and Customer Journey Analytics (for example segments versus filters, or visits versus sessions).
Settings
You can define specific settings for a Bullet visualization.
| Setting | Description |
|---|---|
| Bullet options | Specify values for High goal, Mid goal and Low goal in the Bullet visualization. High goal is the is the main goal you are aiming for. Low goal and Mid goal create ranges below the High goal. Note: when the Percentages option is checked, enter goals as whole numbers. For example: 20 if your goal is twenty percent. |
