Filters help ensure that only the data you want is used in your campaigns. For example, if you have an inventory feed containing both new and used items but only want to create a campaign for new products, data filters are your solution.
How to set up a data filter
Hover over Automate (rocket icon) in the left menu, and select Blueprint Editor.
Select a Blueprint from the list, and then a Blueprint element for the filter (e.g., a campaign, ad group, ad).
Click the Data Filter button under the metrics row.
Copy the data source tag name (e.g., [inventory]).
On the next line, enter your Data Point without brackets, followed by an Operator, and a Data Value you want to filter for.
Example:Data Source → [inventory]
Data Path → model = New ← Filter for Data Value
In the example above, model is the data point, the equal sign (=) is the operator and new is the data value which filters for “New” models within the “inventory” data source.
(Optional) To apply additional filters, start a new line. Our platform interprets this as an AND statement, allowing you to apply multiple filters to a single tag.
Example:[inventory]
model = New
price < 10000
This filters for entries that are both “New” and have a price of less than $10,000.
Common operations for data filters
= equal to
!l= not equal to (leading with “!=” e.g., !model=New)
>= greater than or equal to
<= less than or equal to
> greater than
< less than
CONTAINS
IN searches in a list
Data filter examples
Here are additional examples of data filters and how to format them:
[Fluency Facebook Promo]
Campaign Goal CONTAINS Reach
[Fluency Inventory]
Category=Apparel
[Fluency DAM Media - Photos]
!excluded = true
[BackpackMedia]
virtualFolder CONTAINS [BackpackData.Month]
[BackpackData]
!Placement = Static
!Placement = Video
[inventory]
Condition=New
[gdriveimages]
virtualFolder=/[account.formalName]/Meta Media
Advanced data filters
Now that you have the basics, let's look at more advanced ways to use data filters: data subsets and data sources.
Using data filters to create data subsets
In certain scenarios, you might need to narrow a data source into a specific subset of data for customizing campaigns, ad groups/sets, and ads within Blueprints. Here's how:
Continue from steps 1-5 above.
Add an arrow (→) and assign a name for your subset. Example: [media-collection] → subset 1
Define the parameter for the subset. On the next line, copy and paste a tag from under the data source. Example: [media-collection.tags]. Delete everything except what follows the dot, including brackets. Example: tags
Add an operator (refer above for common operators) and the criteria to define the parameter.
Example:
[media-collection] → subset 1
tags CONTAINS people
You can define a subset with as many parameters as needed:
[media-collection] → subset 1
tags CONTAINS people
tags CONTAINS food
You can also create multiple subsets in a data filter:
[media-collection] → subset 1
tags CONTAINS people
[media-collection] → subset 2
tags CONTAINS food
Using data filters with data sources
You can also use data filters with data sources to narrow down output data and exclude unwanted results. When using a data filter on a data source, you don't need to define the data source, only the data value, as the data source is the data source.
Example:
Data Path → model = New ← Filter for Data Value
Additionally, you can create list data, similar to a Blueprint tag, in the data source data filter using {}. Make sure to comma-separate each value in your list, excluding spaces.
Example:
Data Path → make = {Make1,Make2,Make2,etc}