AdButler already has a wide range of targeting options - geographic targets, platform targets, keywords targets, and data keys - that you can each use on their own or use in any combination. However, if you have access to your users' data, you should also consider creating audience targets.

An Audience target is a set of targeting filters based on a User Database, or User DB for short. A User DB is a set of attributes that are based on actual user information.

Once you've uploaded and configured a user DB, you can create Audiences out of it. You can then apply the Audience to as a targeting filter for campaign and ad item assignments.

The Audience subsection only lets you create and edit audience targets. Go to User DB to configure and update User DBs.

This feature is not enabled by default. Contact support to enable it in your account.

In this guide, you will learn:

  1. How to create an Audience.
  2. How to edit an Audience.
  3. How to use an Audience.
This guide assumes that you've created at least one User DB.

Creating an Audience

  1. Go to the Audiences section under Targets (Your AdButler > Targets > Audiences).
  2. Click Add New. The Create New Audience window will appear.
  3. Select the User DB that you want to use.
Once an Audience has been created, you won't be able to select a different User DB for it.

Selecting a User DB for an Audience in AdButler

  1. Click Next.
  2. Enter a name for the Audience.

Defining an Audience in AdButler

  1. Click the switch at the far left of an attribute to apply that attribute in the target. You can use multiple attributes in one target.
  2. Under Target, specify if the value should be equal or not equal to the target value.
  3. Enter the target value of each applied attribute.
  4. Click Save.

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Editing an Audience

  1. Go to the Audiences section under Targets (Your AdButler > Targets > Audiences).
  2. Hover your cursor over the Edit/Delete column of the relevant Audience to reveal the ... icon.

The options to edit or remove an Audience in AdButler

  1. Click on the icon then click Edit or Remove as needed.
  2. Click Save after editing.

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Using an Audience

Assigning a User DB to a publisher

Before you can apply an Audience, you have to assign its User DB to the relevant publisher. You'll do this step only once per publisher, unless of course you want to switch databases.

  1. Go to the section of the relevant publisher (Your AdButler > Publishers > Your Publisher).
  2. Click Edit Publisher Properties in the right menu. The Edit Publisher page will appear.
  3. Under Audience Database, select the User DB that you want to use.

Assigning a User Database to a publisher

  1. Click Save Publisher.

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Assigning an Audience to a campaign

  1. Go to the section of the relevant zone (Your AdButler > Publishers > Your Publisher > Your Zone).
  2. Under the Assigned Campaigns table, click **Assign Campaign to Zone*. The list of eligible campaigns will appear.
  3. Click on the relevant campaign. The Assignment details page will appear.
  4. Select your desired serve method.
  5. Click on Targeting to expand its section.
  6. Under Audience Target, select the Audience that you want to use.

Assigning an Audience to a campaign in AdButler

  1. Configure the other assignment details as needed.
  2. Click Save.

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Using Audiences with cookies

If you're directly passing the unique user identifier, you don't need to configure anything else once you've assigned an Audience to a campaign.

But if you're going to use cookies to identify users and sync your User DB, perhaps in your login page, you must add the following tag to the page:

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PRODUCT_ID is your AdButler account ID. USER_DB_ID is the identifier of the User DB, which you can obtain either from our API or by looking at the value of audienceTargetID in your browser's address bar when you're at that user database's page in the AdButler web app.

The user database ID

Finally, YOUR_USER_IDis the unique identifier for that user as indicated in your user database.

Note that cookie syncing isn't as fast, secure, or reliable as directly passing user IDs. Your results may be suboptimal if you implement audience targets this way.

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