If you have a list of customers you want to target in a campaign, you can take two approaches, as explained below.
Using the IN filter in customer filters
If your customer list is small, for example, in the tens, you can use the IN filter in the customer filter, paste the list of IDs you want to target into the filter values for the selected identifier. This is the quickest and easiest option for a one-time or small-scale campaign.
However, it isn't recommended for larger lists of customer IDs or for groups you plan to target repeatedly. In those cases, it is better to create a custom customer attribute that identifies these customers, as this approach is easier to maintain and reuse.
Creating a custom customer attribute
When importing a list of customers and, for example, their emails, which can also be Soft or Hard IDs for your project, you can identify this import by adding an extra column that contains a custom customer attribute.
Guide
Define this customer attribute in the Data Manager before the import, naming it something that quickly identifies the import.
Then, add the same customer attribute as a column in the data you are about to import and fill it with some values. You can input the data directly, as in the example below, or use other import options, such as .csv file import.
Map email or other identifier to your project's corresponding Hard or Soft ID. You also need to pick a data type for your attribute. The most valuable data types for attribute values will be strings or booleans. The way the data will be displayed in the UI will be determined by the Data Manager settings.
Result
Once uploaded, this custom attribute will be added to the customer profiles identified by the IDs in your import (such as email addresses).
You can later use this custom customer attribute with its value in scenario conditions or customer filters to identify the newly imported list of customers. This method is recommended as the best way to identify a specific list of customers from a spreadsheet.