In Narrator, all activities are linked to a
customer that represents the person or entity that completed each action. The identifier that you choose to use for your
customer will be used for all activities in Narrator. That's why we recommend using something like
email_address to uniquely identify your customer across sources.
A customer table is a materialized view that maintains all of the details about your customers, like firmographics, demographics, current membership details, etc. This table has a unique record per
customer and contains any number of attributes about your customer.
The data stored in the customer table is used in two places within the platform:
The customer table can be used to enrich datasets with customer attributes.
Access additional details about the customer from the Customer view of Narrator.
How to: Create a Customer Table
Visit the step-by-step tutorial to create a customer table.
The customer table has one required column called
customer and any number of associated attribute columns about your customer.
|The unique identifier for your customer (ex. email address)|
|attribute columns||Any number of columns that contain details about your customers. (ex. city, zip, birthday, member_since, etc).|
The names should be descriptive of the data they represent (as opposed to the generic feature_1, feature_2, feature_3 naming used for activities).
Explore the transformation library for example transformations that generate customer tables.
Our data team is here to help! Here are a couple ways to get in touch...
💬 Chat us from within Narrator
💌 Email us at [email protected]
🗓 Or schedule a 15 minute meeting with our data team
Updated over 1 year ago
Watch the step-by-step tutorial to create a customer table.