The New Filter builder offers many of the same criteria for targeting contacts available in Legacy Filter Settings, as well as access to some new criteria and an easier-to-use interface. Criteria will continue to be added to provide more access to data to deliver highly targeted campaigns.
First Email Subscribe Date
The date a contact first subscribed to an email list.
Most Recent Email Subscribe Date
The date a contact last resubscribed to an email list.
Include/exclude contacts within a saved segment. The selected segment name will always display making it easy to identify which segments were used when reviewing message reports. Learn how to create a saved segment for reuse. Note: This criteria type is ONLY available when building filters in the Message Authoring page and not when creating a saved segment in the Segment Manager page because they cannot be nested.
The email address of a contact.
Custom metadata fields for collecting additional data for a contact.
Automatically identifies the country the contact visited last based on the IP address used when engaging with emails. Use the multi-select dropdown to include or exclude contacts from multiple countries.
State/Region (U.S. and Canada ONLY)
Automatically identifies the state, region, or territory the contact visited last based on the IP address used when engaging with emails. Use the multi-select dropdown to include or exclude contacts from multiple states/regions.
Zip/Postal Code (U.S. ONLY)
Automatically identifies the zip code of the area the contact visited last based on the IP address used when engaging with emails. Some examples include:
- Include or exclude contacts in one or many zip codes
- Target a radius up to 200 miles from a zip code
- Target a specific zip code list by using the 'Starts With' operator and the 3 digit prefix value.
Last Email Send Date
The date a contact was last sent an email.
Last Email Open Date
The date a contact last opened an email. How are opens captured?
Last Email Read Date
The date a contact last read an email. How is read captured?
Last Email Click Date
The date a contact last clicked an email.
A contact either has or has not purchased from a merchant.
The date a customer first or last purchased from a merchant. Note: Using a negative operator such as "is not between" will also return contacts that have not purchased. These contacts can be excluded by selecting "has purchased" from the Purchase Status criteria.
The total price of an order, evaluated using one of the following operations:
- Sum of all orders
- Average of all orders
- Largest of all orders
- Smallest of all orders
Note: Negative order totals may be included in filters using a "less than" operator for cases where orders were returned or refunded.
The source an order was received from a customer, for example, email, fax, phone, or simply in-store or online. Note: You can review sources for a merchant under Solutions > Data Summary > Buyer Activity > Point of Purchase.
The number of times a customer purchased from a merchant over all-time.
Order Item SKU
The stock keeping unit of an item in an order.
Order Item Master SKU
The master SKU of an item in an order.
Order Item Title
The name of a product in an order.
Order Item Price
The unit price of an item in an order.
Order Item Quantity
The quantity of a line item in an order.
Order Item Gender
The designated gender of a product in an order.
Order Item Brand
The brand of a product in an order.
Order Item Category
The category of a product in an order.
Order Item Subcategory
The subcategory of a product in an order.
Order Item Size
The size of an item in an order.
Order Item Style
The style of an item in an order.
Order Item Color
The color of an item in an order.
Order Item Meta 1-5
Additional meta data for an item in an order.
Note: The values entered for text criteria such as Title, Brand, Category, etc. need to match those found in your product catalog which can be reviewed in the Product Summary under Solutions > Data Summary > Product Information > Product Summary. You may need to export to view additional data not displayed online. Not case sensitive.
Target contact's based on message engagement and purchase behavior to predict what they might do in the future. Learn more about predictive models and how to use for filter and segmentation.
Note: Predictive Analytics is an additional solution offered by Listrak. If you are interested in purchasing Predictive Analytics, please contact your Account Manager.
Predictive Analytics - Engagement
- Likelihood to Open an Email
- Likelihood to Click an Email
- Likelihood to Unsubscribe from Email
Predictive Analytics - Purchase
- Predicted Future Spend (Value)
- Predicted Future Spend (Percentile)
- Likelihood to Purchase
- Coupon Affinity
- Discount Affinity
- Life Cycle Stage