Aside from keywords, location, and platform-based targeting, AdButler also lets you target specific audiences using key value-based attributes. These are called data keys. Like the other forms of targeting, you must create and define data keys before you can use them.
This article shows you
- How to create data keys.
- How to assign data keys.
- How to create data key rules and groups.
- How to set data keys.
How to create data keys
- Click Targets in the left-hand navigation panel, then click Data Keys to go to the Data Keys subsection.
- Click Create New. The Data Key window will appear.
- Give the data key a name, select its type, then click Save.
The data keys you created will be listed in the table in the Data Keys subsection.
How to assign data keys
- Click Advertisers in the left-hand navigation panel to go to the Advertisers section.
- Click on the appropriate advertiser to go to its dashboard.
- Click on the appropriate campaign to go to its dashboard.
- Under Zone Assignments, create a new zone assignment or click on the existing zone assignment that you want to use.
- In the Assignments page, click on Targeting to expand the Targeting menu, then click Manage Rules. The Manage Data Key Rules window will appear.
- Create data key rules or groups as needed. Click Save Changes.
How to create data key rules and groups
In the Manage Data Key Rules window, each line is a rule. Use data keys together with the provided operators and options to define your target audience.
Conditional logic operators and options
- All: The target audience is one that meets all listed requirements.
- Any: The target audience can be anyone that meets at least one of the listed requirements.
- = : is equal to.
- != : is not equal to.
- < : is less than.
- <= : is less than or equal to.
- > : is greater than.
- >= : is greater than or equal to.
- starts-with: the conditional characters must be at the start of the retrieved string.
- ends-with: the conditional characters must be at the end of the retrieved string.
- contains: the conditional characters can be anywhere in the retrieved string.
- is-after: the retrieved time must come after the conditional value.
- is-before: the retrieved time must come before the conditional value.
- is-between: the retrieved time must be between the conditional values.
By default, all rules for an assignment fall under either All or Any. In other words, your target audience either meets all of the rules, or just one or more unspecified rules. If you want to define a target audience that must meet specific rules but not necessarily all rules, you should create a group. A group is a set of rules that are treated as one rule. It allows you to use both All and Any in the same set of rules.
Example 1 wants to serve ads to males aged 21 to 65 years old.
Example 2 wants to serve ads to males aged 21 to 65 years old, and whose last names end in "son", "er", or "phy". The group of rules made it possible to define a target audience that must meet the first three rules, but comply with only one of the rules in the group.
Example 3 wants to serve ads to males of any age, or to females aged 21 to 65 years old. The group of rules made it possible to define a target audience that can meet either the first rule or the group. However, the latter has a set of requirements that must all be met.
How to set data keys
- Click Publishers in the left-hand navigation panel to go to the Publishers section.
- Click on the appropriate publisher to go to its dashboard.
- In the table of zones, look for the zone where the data key-targeted campaign is assigned.
- Click on the globe icon under the Zone Tags column of that zone to open its Zone Tags window.
- Look for
keywords: abkwin the code snippet.
- Type `_abdk[name of data key] : value or variable to use. Each variable must be separated with a comma. The following example uses the data key *Age* and the variable *agevariable*.
Repeat Step 5 for each data key used in the rules you created.
Paste the entire code snippet into the publisher's website.