VWO connector
Set up the VWO connector in Kaivo: authentication, configuration, the 9 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 15 days ago
Kaivo is a fully managed data platform that syncs your VWO data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.
What is the VWO connector
Sync your VWO experimentation data into BigQuery with Kaivo to analyse A/B tests and campaign performance.
Getting started with the VWO connector
- Sign up for Kaivo and create a workspace.
- Connect your VWO account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating VWO
Authenticate with your API Key.
Configuring the VWO connector
When you set up the connector, you provide:
Tables and columns synced from VWO
Kaivo syncs 9 tables from VWO into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
accounts (8 columns)
accounts (8 columns)
accounts_feeds (16 columns)
accounts_feeds (16 columns)
campaigns (30 columns)
campaigns (30 columns)
Subtable: campaigns__associated_campaign
Subtable: campaigns__campaign_group
Subtable: campaigns__goals__partial_collection
Subtable: campaigns__goals__partial_collection__average_data
Subtable: campaigns__labels
Subtable: campaigns__page_group_config__editor_url
Subtable: campaigns__page_group_config__exclude
Subtable: campaigns__page_group_config__include
Subtable: campaigns__variations__partial_collection
custom_widgets (9 columns)
custom_widgets (9 columns)
integrations (12 columns)
integrations (12 columns)
labels (4 columns)
labels (4 columns)
smartcode (5 columns)
smartcode (5 columns)
thresholds (6 columns)
thresholds (6 columns)
users (13 columns)
users (13 columns)
How the VWO sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where VWO supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for VWO?
It depends on how much history is in your VWO account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when VWO's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in VWO, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in VWO instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the VWO connector in Kaivo and all of its synced data is deleted with it.
Common use cases for VWO data
Experiment analysis
Use campaigns and thresholds to study how tests affect your metrics.
Audience view
Join accounts with users to understand who is in each test.
Integration context
Use integrations to connect VWO results to your other data.
Use VWO data in your AI and BI tools
Once VWO data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with VWO data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for VWO connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Custobar: Sync Custobar to BigQuery.
- Google Search Console: Sync Google Search Console to BigQuery.
- HubSpot: Sync HubSpot to BigQuery.
- Adform: Sync Adform to BigQuery.
- Amplitude: Sync Amplitude to BigQuery.
Was this helpful?
Still need help? Share an idea