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---
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title: Linked Audiences Use Cases
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plan: engage-foundations
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beta: true
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hidden: true
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redirect_from:
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- '/unify/linked-profiles/linked-audiences-use-cases'
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hidden: false
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---
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Below are some example use cases to help you learn more about Linked Audiences.
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## Use case 1: Build an audience of users who have a credit card with an outstanding balance
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To build this audience, define a nested entity condition to relate a `Profile` to their:
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- `Account` entity
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- `Credit Card` entity where `credit_card.balance` is "Outstanding"
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In the Data Graph, `Account` and `Credit Card` are defined as entities and represented as separate tables in your data warehouse.
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Relationships are defined between:
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- `Profile` and `Account`
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- `Account` and `Credit Card`
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In the warehouse, `credit_card.balance` is a column in the `Credit Card` table. By filtering against the `credit_card.balance` column for the "Outstanding" value, marketers can return a list of users that have a credit card with an outstanding balance.
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## Use case 2: Build an audience of cat owners who are also a part of the platinum membership tier
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To build this audience, define a nested entity condition to relate a `Profile` to their:
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- `Household` entity
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- `Pet` entity where `pet.type` is "Cat"
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Define an audience membership condition to filter for users that are a member of the "Platinum membership tier" audience.
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In the Data Graph, `Households` and `Pets` are defined as entities and are represented as separate tables in your data warehouse.
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Relationships are defined between:
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- `Profiles` and `Households`
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- `Households` and `Pets`
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In the warehouse, `pets.type` is a column in the `pets` table. By filtering against the `pets.type` column for the "cat" value, marketers can return a list of users that have a cat.
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Then, adding the audience membership condition allows marketers to further refine their audience to only include users who are part of the "Platinum membership tier" audience.
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## Use case 3: Build an audience of credit card holders with a certain number of transactions
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To build this audience, define a nested entity condition to relate a `Profile` to their:
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- `Accounts` entity
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- `Subscriptions` entity where `subscriptions.tier` is "Premium"
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- `Transactions` entity where `transactions.count` is greater than five
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This nested entity condition has four levels of relationship depth.
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In the Data Graph, `Accounts`, `Credit Cards`, and `Transactions` are defined as entities.
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Relationships are defined between:
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- `Profiles` and `Accounts`
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- `Accounts` and `Credit Cards`
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- `Credit Cards` and `Transactions`
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In the warehouse, `subscriptions.tier` is a column in the `Subscriptions` table, and `transactions.count` is a column in the `Transactions` table. By filtering against the `subscriptions.tier` column for the "Premium" value, and the `transactions.count` column for values greater than five, marketers can return a list of users that have a premium account where there are greater than five transactions.

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