Metafield-based customer segment filters

If you created a customer metafield definition, then the metafield can be used as a filter. Customer segments can only be created from metafields that use the following data types:

• date and time
• number
• text
• true or false

Learn more about Metafields.

Note

If you need help with setting up your Metafields, then you can hire a Shopify Expert. Learn more about hiring Shopify Experts.

If you're a developer, then you can refer to the Metafields developer documentation.

Operators	The operators that are available depend on which content type is used for the metafield. Date and time: In the last 7 days: >= 7_days_ago In the last 30 days: >= 30_days_ago In the last 90 days: >= 90_days_ago In the last 12 months: >= 12_months_ago Exactly on date: = On or before date: <= On or after date: >= Between dates: BETWEEN <date1> AND <date2> Number: Is equal to: = Is not equal to: != Greater than: > Smaller than: < Smaller or equal to: <= Greater or equal to: >= Between: BETWEEN Number with list of values: Contains: CONTAINS Doesn't contain: NOT CONTAINS Text: Is equal to: = Is not equal to: != Text with list of values: Contains: CONTAINS Doesn't contain: NOT CONTAINS True or false: Is equal to: = Is not equal to: != Exists or doesn't exist: Doesn't exist: IS NULL Exists: IS NOT NULL
Values	The values that are available, if any, depend on whether values were added to the metafield or whether you use third-party apps to pull data into your metafields. You might need to enter values manually.
Format	The format of the data that is entered depends on what was set up in the metafield.
Example	Points balance example: customer.points_balance >= 100
Notes	The filter name is based on the name of the metafield. The code is based on the namespace and the key of the metafield. Some common use cases for using Metafields for a customer segment include point balances, loyalty and rewards, and customer birthdays.