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src/engage/journeys/faq-best-practices.md

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### Add time windows whenever possible
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Add time windows when defining conditions to enforce funnel constraints in a Journey, rather than using an unbounded event condition which operates on the entire history of the user profile. For example, to check if a user has completed an order since receiving an email triggered 7 days ago, use the condition “Order Completed at least 1 time within 7 days.”
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Add time windows when defining conditions to enforce funnel constraints in a journey, rather than using an unbounded event condition which operates on the entire history of the user profile. For example, to check if a user has completed an order since receiving an email triggered 7 days ago, use the condition “Order Completed at least 1 time within 7 days.”
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### Suppress targeting with journey lists
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2. Create additional journey steps to model the conditions where a user should be removed from targeting. Create a second send to destination step for the removal list.
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3. When configuring targeting conditions in the destination interface, use boolean logic to include only those users who are in the initial list AND NOT in the removal list.
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### Review your Journey in drafts first
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### Review your journey in drafts first
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Save your Journey in a draft state so that you can review before you publish it. Once you publish a Journey, you cannot edit select portions of the journey and Journeys sends data to destinations.
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Save your journey in a draft state so that you can review before you publish it. Once you publish a journey, you cannot edit select portions of the journey and Journeys sends data to destinations.
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### Know how to incorporate historical data
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Aside from the entry condition, all Journey step conditions are triggered by future events and existing trait memberships. Event-based conditions only evaluate events that occur *after* the Journey is published.
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Aside from the entry condition, all journey step conditions are triggered by future events and existing trait memberships. Event-based conditions only evaluate events that occur *after* the journey is published.
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When you [include historical data](/docs/engage/journeys/build-journey/#using-historical-data-for-the-entry-step) in a Journey's entry condition, Unify identifies users who previously satisfied the entry condition and adds them to entry. For example, to evaluate if a user has ever used a discount code mid-Journey, create and configure a [Computed Trait](/docs/engage/audiences/computed-traits/#conditions) to select for `discount_used = true` to use in your Journey.
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When you [include historical data](/docs/engage/journeys/build-journey/#using-historical-data-for-the-entry-step) in a journey's entry condition, Unify identifies users who previously satisfied the entry condition and adds them to entry. For example, to evaluate if a user has ever used a discount code mid-journey, create and configure a [Computed Trait](/docs/engage/audiences/computed-traits/#conditions) to select for `discount_used = true` to use in your journey.
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Including historical data doesn't impact any additional Journey steps, however. To include historical data in post-entry conditions, use the following table to identify which conditions will automatically include historical data:
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Including historical data doesn't impact any additional journey steps, however. To include historical data in post-entry conditions, use the following table to identify which conditions will automatically include historical data:
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| Condition Type | Automatic Historical Data Inclusion |
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| ------------------ | ----------------------------------- |
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| Custom Trait | No |
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To include historical data based on custom traits or events that predate the Journey, first build an Audience that includes the targeted data by following these steps:
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To include historical data based on custom traits or events that predate the journey, first build an Audience that includes the targeted data by following these steps:
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1. Create a standard Engage Audience **outside of the Journeys builder**.
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2. Add conditions that include the historical event or custom trait you want to include in the Journey.
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2. Add conditions that include the historical event or custom trait you want to include in the journey.
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3. After you've created the Audience, return to Journeys and create a **Part of an Audience** condition that references the audience you created in Step 2.
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For example, to include `custom trait = ABC` in a Journey, create an Audience called `ABC` that includes that custom trait, then add the Journey condition **Part of Audience** `ABC`.
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For example, to include `custom trait = ABC` in a journey, create an Audience called `ABC` that includes that custom trait, then add the journey condition **Part of Audience** `ABC`.
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Using the **Part of Audience** condition, Journeys then populates the custom trait as if it were using historical data.
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- While in the process of configuring a journey, use dev Spaces to model that journey without affecting production data.
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- Connect a data warehouse to each step of the journey to test for success or failure of that step.
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- For early version journeys, scaffold Send to Destination steps without connecting to your production advertising or messaging destinations.
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- Verify individual users' progress through the Journey in the Profile explorer view.
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- Verify individual users' progress through the journey in the Profile explorer view.
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## FAQs
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#### How often do Journeys run?
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Journeys run in real time, like real-time Audiences in Engage. This means that users will progress through Journeys as Segment receives new events.
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#### Can a user re-enter a Journey?
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#### Can a user re-enter a journey?
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Yes. Users must first exit a Journey, however, before entering it again. To learn more about Journey re-entry, read the [Journey re-entry section](/docs/engage/journeys/build-journey/#journey-re-entry) of the [Build a Journey](/docs/engage/journeys/build-journey/) page.
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Yes. Users must first exit a journey, however, before entering it again. To learn more about journey re-entry, read the [journey re-entry section](/docs/engage/journeys/build-journey/#journey-re-entry) of the [build a Journey](/docs/engage/journeys/build-journey/) page.
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#### What destinations does Journeys support?
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Journeys supports all Engage destinations, including Destination Functions. Read more in [Send data to destinations](/docs/engage/journeys/send-data/) .
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#### What are the reporting capabilities of Journeys?
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When building a Journey, if you check **Use historical data**, you can see the estimated number of users in the initial cohort.
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When building a journey, if you check **Use historical data**, you can see the estimated number of users in the initial cohort.
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Once published, Journeys displays the number of users are in each step of the Journey at any given time.
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Once published, Journeys displays the number of users are in each step of the journey at any given time.
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#### How are users sent to downstream destinations?
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#### Why am I seeing duplicate entry or exit events?
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Journeys triggers audience or trait-related events for each email `external_id` on a profile. If a profile has two email addresses, you'll see two Audience Entered and two Audience Exited events for each Journey step. Journeys sends both email addresses to downstream destinations.
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Journeys triggers audience or trait-related events for each email `external_id` on a profile. If a profile has two email addresses, you'll see two Audience Entered and two Audience Exited events for each journey step. Journeys sends both email addresses to downstream destinations.
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#### How quickly do user profiles move through Journeys?
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It may take up to five minutes for a user profile to enter each step of a Journey, including the entry condition. For Journey steps that reference a batch audience or SQL trait, Journeys processes user profiles at the same rate as the audience or trait computation. Visit the Engage docs to [learn more about compute times](/docs/engage/audiences/#understanding-compute-times).
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It may take up to five minutes for a user profile to enter each step of a journey, including the entry condition. For journey steps that reference a batch audience or SQL trait, Journeys processes user profiles at the same rate as the audience or trait computation. Visit the Engage docs to [learn more about compute times](/docs/engage/audiences/#understanding-compute-times).
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#### How can I ensure consistent user evaluation in Journey entry conditions that use historical data?
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#### How can I ensure consistent user evaluation in journey entry conditions that use historical data?
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When you publish a journey, the entry step begins evaluating users in real time while the historical data backfill runs separately. If a user's events or traits span both real-time and historical data, they might qualify for the journey immediately, even if their full historical data would have disqualified them.
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