Export Analyze/Optimize data to a data warehouse

Updated

Learn which data warehouses you can connect to send site analytics and experiment data to.

Need to know

This feature is only available on specific Enterprise plans.

If you’re centralizing data in a warehouse (e.g., Snowflake, Google BigQuery, Amazon Redshift)., exporting Analyze and/or Optimize data lets you connect Webflow insights with the rest of your business reporting. You can run deeper analysis, build custom dashboards, or join site data with product, CRM, or revenue data — all in one place.

Setup process overview

Setting up a data export is a two-part process — one for your developers, and one for you in Webflow.

  • Developers need to configure the data warehouse that you’ll export data to and provide you with authentication info
  • You’ll connect Webflow to your data warehouse using the authentication info your developers provided. You can then test the connection to verify it’s working.

What data is exported?

The data included in your export depends on which add-ons you have enabled:

  • Analyze — site analytics data, like page views and click events
  • Optimize — experiment data, such as variation view events
  • Analyze + Optimize — all available analytics and experiment data

For a complete list of tables, fields, and definitions, review the data schema documentation.

Good to know

Historical data is not included in the export. Only data from the established connection date going forward will be included in the daily exports.

Export frequency

Data is exported on a nightly basis (every 24 hours) to your configured export destination.

Supported data destinations and documentation

These are the currently supported data destinations that you can export to and the documentation you’ll need to get everything configured.

Data destination Developer docs Webflow docs
Snowflake Snowflake configuration Analyze/Optimize configuration
Google BigQuery Google BigQuery configuration Analyze/Optimize configuration
Amazon Redshift Amazon Redshift configuration Analyze/Optimize configuration
Amazon Redshift Serverless Amazon Redshift Serverless configuration Analyze/Optimize configuration
Amazon Athena Amazon Athena configuration Analyze/Optimize configuration
Databricks Databricks configuration Analyze/Optimize configuration
ClickHouse ClickHouse configuration Analyze/Optimize configuration
Delta Lake Delta Lake configuration Analyze/Optimize configuration
PostgreSQL PostgreSQL configuration Analyze/Optimize configuration
Aurora PostgreSQL Aurora PostgreSQL configuration Analyze/Optimize configuration
MySQL MySQL configuration Analyze/Optimize configuration
Aurora MySQL Aurora MySQL configuration Analyze/Optimize configuration
SQL Server SQL Server configuration Analyze/Optimize configuration
MongoDB MongoDB configuration Analyze/Optimize configuration
Amazon S3 Amazon S3 configuration Analyze/Optimize configuration
S3-compatible storage S3-compatible storage configuration Analyze/Optimize configuration
Google Cloud Storage Google Cloud Storage configuration Analyze/Optimize configuration
Azure Blob Storage Azure Blob Storage configuration Analyze/Optimize configuration
SFTP SFTP configuration Analyze/Optimize configuration
Google Sheets Google Sheets configuration Analyze/Optimize configuration