There are many different types of filters that can be applied when targeting a group of contacts based on a set of criteria when sending. These filter types can be combined to create specific groups you wish to target. Learn more about each:


Audiences

Smart Audiences

A prebuilt group of audiences that you can customize to meet your specific goals. Learn how to use Smart Audiences in your marketing campaigns.

Saved Audiences

Email filter rules can be saved as Saved Audiences then quickly applied to an email and reused across messages.

Learn how to use Saved Audiences in your marketing campaigns.

CRM Audiences

CRM allows you to gain valuable insights into your customers. You may want to be able to track the performance of a group of these contacts over time, or take action on these contacts. Creating an Audience in Listrak CRM allows you to do both of these things.

⚠️ CRM is an additional solution offered by Listrak. If you are interested in purchasing CRM, please contact your Account Manager.


Contact Behavior

Uses customer's past purchase behavior and order details.

  • Contact Has Purchased: A customer has made a purchase.

  • Contact Has Not Purchased: A customer has not made a purchase.

  • Number of Orders: The total number of times a customer purchased from a merchant all-time.

  • First Order Date: The first date a customer made a purchase.

  • Last Order Date: The most recent date a customer made a purchase.

  • Order Total:

    • Average of all orders: The average dollar value of all orders placed during the purchase lifetime of the customer (includes tax, surcharges, shipping, etc.)

    • Sum of all orders: The total dollar amount spent during the purchase lifetime of the customer (includes tax, surcharges, shipping, etc.)

    • Largest of all orders: A single order with the highest dollar total during the purchase lifetime of the customer (includes tax, surcharges, shipping, etc.)

    • Smallest of all orders: A single order with the smallest dollar total during the purchase lifetime of the customer (includes tax, surcharges, shipping, etc.)

  • Line Item Total:

    • Average Item Total: The average dollar value of all items purchased during the lifetime of the customer (excludes tax, surcharges, shipping, etc.)

    • Sum of All Item Totals: The total dollar value of all items purchased during the lifetime of the customer (excludes tax, surcharges, shipping, etc.)

    • Largest Item Total: A single item purchased with the largest dollar value purchased during the lifetime of the customer (excludes tax, surcharges, shipping, etc.)

    • Smallest Item Total: A single item purchased with the smallest dollar value purchased during the lifetime of the customer (excludes tax, surcharges, shipping, etc.)

  • Quantity:

    • Average Quantity for an Item: An average of how many of each unit bought per order.

    • Total Units Sold: Sum of the quantities of all items purchased that match search criteria.

    • Largest Quantity for an Item: The largest quantity of any item that was bought.

    • Smallest Quantity for an Item: The smallest quantity of any item that was bought.

  • Total Line Items:

    • Total Line Items Across all Orders: All line items within all orders during the lifetime of the customer (includes tax, surcharges, shipping, etc.)

  • Additional Options:

    • Brand: The brand of a product in an order.

    • Category: The category of a product in an order.

    • Color: The color of an item in an order.

    • Item Quantity: The quantity of a line item in an order.

    • Master SKU: The master SKU of an item in an order.

    • Order Date: Any date a customer purchased from a merchant.

    • Order Source: The source an order was received from a customer, for example, email, fax, phone, or simply in-store or online.

      💡 You can review sources for a merchant under Solutions > Data Summary > Buyer Activity > Point of Purchase.

    • Price Paid: The unit price of an item in an order.

    • Product Gender: The designated gender of a product in an order.

    • Product Metadata 1-5: Additional meta data for an item in an order.

    • Product Title: The name of a product in an order.

    • Size: The size of an item in an order.

    • SKU: The stock keeping unit of an item in an order.

    • Style: The style of an item in an order.

    • Subcategory: The subcategory of a product in an order.

💡 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.


Predictive Analytics

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.

  • Customer Lifetime Value

    • Predicted Future Spend (Value)

    • Predicted Future Spend (Percentile

  • Predicted Engagement

    • Likelihood to Purchase

    • Likelihood to Click an Email

    • Likelihood to Open an Email

    • Likelihood to Unsubscribe from Email

  • Purchase Behavior

    • Coupon Affinity

    • Discount Affinity

    • Life Cycle Stage

⚠️ Predictive Analytics is an additional solution offered by Listrak. If you are interested in purchasing Predictive Analytics, please contact your Account Manager.


Profile Field Groups

Profile fields contain additional information collected about contacts on your list, such as first name or mailing address. Profile fields also allow you to store information that you wish to provide to a contact, such as a coupon code. These fields are categorized into Profile field groups (placing first and last name in a customer information group), to allow you to organize information.

Existing profile fields on a specific list can be viewed under Contacts > Profile Fields.


System Fields

System fields are fields of data that are automatically collected by Listrak.

  • Email: The email address of a contact.

  • Email Client: The contact's email user such as Gmail, iOS Mail, Outlook, Yahoo, etc.

  • Subscribe Date: The most recent data a contact subscribed to the email list.

  • Last Open Date: The date a contact last opened an email. How are opens captured?

  • Last Read Date: The date a contact last read an email. How is read captured?

  • Last Click Date: The date a contact last clicked an email.

  • Last Email Send Date: The date a contact was last sent an email.

  • Country: Automatically identifies the country the contact visited last based on the IP address used when engaging with emails.

  • Region: Automatically identifies the state, region, or territory the contact visited last based on the IP address, ISP and other factors used when engaging with emails.

    💡 Some ISPs use image proxies and have various locations across the country which impacts the accuracy of the location.

  • Postal Code: Automatically identifies the zip code of the area the contact visited last based on the IP address, ISP and other factors used when engaging with emails.

    💡 Some ISPs use image proxies and have various locations across the country which impacts the accuracy of the location.

  • List Subscription Status: Checks if a contact from current email list is either subscribed to or is not subscribed to any other list in the account.

  • Split Test Segment: Segments created in the Test Segmentation manager.

  • Email Client (deprecated): Email users that have been deprecated.

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