Syncing

Learn how to import custom object records in bulk using SFTP and Data Warehouse Import (DWH). Both methods load raw records into a Data Source, which you then connect to a custom object type in the Klaviyo UI.

Learn how to use data warehouse event import to sync event data from your warehouse into Klaviyo, so you can power segments, flows, and reporting with behavior that originates outside of Klaviyo’s native integrations (e.g., POS systems, support platforms, or custom applications).

Learn how to sync data from Klaviyo to your data warehouse, and import warehouse data to Klaviyo via SFTP. You can sync your customer profile and event data, allowing you to store and analyze key information about your customers outside of Klaviyo.

Overview: Follow these steps to prepare BigQuery for Klaviyo. You’ll create required schemas (in a dataset/project), set up a dedicated service account and key, assign the minimum required privileges, verify the configuration, and connect BigQuery to Klaviyo.

This guide walks Redshift administrators through preparing Amazon Redshift for Klaviyo, granting the minimum required access, and completing the connection so you can import profile data on a schedule. You’ll learn how to:

Overview: Follow these steps to prepare Databricks for Klaviyo. You’ll create required schemas (in a catalog), set up a dedicated account and access token for Klaviyo, assign the minimum required privileges, verify the configuration, and connect Databricks to Klaviyo.

Data warehouse import allows Klaviyo to connect directly to your Snowflake, BigQuery, Redshift, or Databricks data warehouse and configure import syncs for tables (or views) of profile and event data.