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Copy file name to clipboardExpand all lines: src/engage/journeys/contextual-journeys.md
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> info "Private Beta"
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> Event-Triggered Journeys is in private beta, and Segment is actively working on this feature. Some functionality may change before it becomes generally available. During private beta, Event-Triggered Journeys is not HIPAA eligible.
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## What is Journey Context?
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## What is Journey context?
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Journey context is a flexible data structure that captures key details about the events and conditions that shape a customer’s journey. Journey context provides a point-in-time snapshot of event properties, ensuring accurate and reliable data is available throughout the journey.
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Journey context stores:
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-**Event properties**: Information tied to specific user actions, like `Appointment ID` or `Order ID`.
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-**Split evaluations**: Results of branch decisions made during the journey, enabling future steps to reference these outcomes.
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-`Order ID`
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- An array of cart contents
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Each event’s properties are captured as a point-in-time snapshot when the event occurs. This ensures the data remains consistent for use in personalization, branching, and other advanced workflow steps.
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Segment captures each event’s properties as a point-in-time snapshot when the event occurs, ensuring that the data remains consistent for use in personalization, branching, and other advanced workflow steps.
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## Using Journey context in Event-Triggered Journeys
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Journey context is a system for capturing and referencing data about events and conditions within a customer journey. It allows Event-Triggered Journeys to respond dynamically to user behavior by making event-specific data available for decisions and actions at each step.
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Journey context provides the framework for capturing and referencing data about events and conditions within a journey. It allows Event-Triggered Journeys to dynamically respond to user behavior by making event-specific data available for decisions and actions at each step.
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Journey context helps you create workflows that use real-time data, instead of relying on predefined, static rules. This is useful for scenarios like:
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This is useful for scenarios like:
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-**Abandonment recovery:** Checking whether a user completed a follow-up action, like a purchase.
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-**Customizing messages:** Using event properties to include relevant details in communications.
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"discount_percentage": 15
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}
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}
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```
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This payload contains:
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-**Event properties**: Captured under the `appointment_scheduled` key.
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-**Split outcomes**: Documented in the `split_decision` object.
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-**Function results**: Stored in the `function_output` object for use in later steps.
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<!--
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## Next steps
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5. Context Structure
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Explanation of context organization and data flow.
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Include a sample payload for reference.
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6. Best Practices
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Tips for optimizing journeys with context (e.g., using filters, testing).
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7. Example Use Cases
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Illustrative scenarios demonstrating the power of journey context in real-world applications.
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8. Troubleshooting and FAQs
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Common issues and resolutions.
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Clarifications about limitations (e.g., context doesn’t store dynamic traits).
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Journey context underpins the flexibility and precision of Event-Triggered Journeys. By capturing key details about events and decisions as they happen, journey context lets workflows respond dynamically to user actions and conditions.
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Whether you're orchestrating real-time abandonment recovery, scheduling contextual delays, or personalizing messages with event-specific data, journey context provides the tools to make your workflows more relevant and effective.
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-->
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To learn more about how Event-Triggered Journeys work and how journey context fits into the bigger picture, visit the [Event-Triggered Journeys documentation](/docs/engage/journeys/event-triggered-journeys/).
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