Data Tables provide storage and data usage from other systems, enabling our clients to easily access all of their custom data for segmentation and personalization. Data tables allow for the creation of multiple tables with varying structures which can be related together on a data field. This system works to establish a relational database. Each data table can house a completely separate data set, creating a complex configuration and granting you a detailed view of the data. Advanced Data Structures can be created allowing one-to-one, one-to-many, and many-to-one relationships in multiple data tables.

The data that is stored in Custom Data Tables can be used for audience segmentation, suppression, and personalization. This can be achieved by creating a logic-defined Dynamic Data Table or by using an SQL query. To personalize content based on data available in the customer data tables, you can use the normal iTL Merge Field or the iTL look up function.

There are four types of tables in iPost:

System Data Tables - tables containing system data, such as tracking information, contact properties, and platform objects.

Custom Data Tables - tables created by the user for the use of sending, querying, and managing data.

Dynamic Data Tables - these tables are the results of filtering one or more Custom and System Tables.

Coupons Data Tables - created by the user for the storing and inserting coupon codes into emails.