Kit connector
Set up the Kit connector in Kaivo: authentication, configuration, the 13 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Kit 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 survey and email data instead of moving it.
What is the Kit connector
Sync your Kit (ConvertKit) email data into BigQuery with Kaivo to measure subscriber growth, sequences, and broadcasts in one place.
Getting started with the Kit connector
- Sign up for Kaivo and create a workspace.
- Connect your Kit 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 Kit
Authenticate with your API Key.
Configuring the Kit connector
When you set up the connector, you provide:
Tables and columns synced from Kit
Kaivo syncs 13 tables from Kit into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
broadcasts (16 columns)
broadcasts (16 columns)
Subtable: broadcasts__subscriber_filter
Subtable: broadcasts__subscriber_filter__all
Subtable: broadcasts__subscriber_filter__all__codes
Subtable: broadcasts__subscriber_filter__all__ids
Subtable: broadcasts__subscriber_filter__any
Subtable: broadcasts__subscriber_filter__any__codes
Subtable: broadcasts__subscriber_filter__any__ids
Subtable: broadcasts__subscriber_filter__none
Subtable: broadcasts__subscriber_filter__none__codes
Subtable: broadcasts__subscriber_filter__none__ids
current_account (11 columns)
current_account (11 columns)
custom_fields (6 columns)
custom_fields (6 columns)
email_templates (6 columns)
email_templates (6 columns)
form_subscribers (14 columns)
form_subscribers (14 columns)
forms (11 columns)
forms (11 columns)
purchases (12 columns)
purchases (12 columns)
Subtable: purchases__products
segments (5 columns)
segments (5 columns)
sequence_subscribers (10 columns)
sequence_subscribers (10 columns)
sequences (7 columns)
sequences (7 columns)
subscribers (10 columns)
subscribers (10 columns)
tag_subscribers (10 columns)
tag_subscribers (10 columns)
tags (5 columns)
tags (5 columns)
How the Kit sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Kit 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 Kit?
It depends on how much history is in your Kit 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 Kit'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 Kit, 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 Kit 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 Kit connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Kit data
Subscriber growth
Use subscribers and forms to track how your list grows and which forms convert.
Sequence performance
Join sequences with sequence_subscribers to see how automated emails move subscribers.
Broadcast reporting
Track broadcasts to compare one-off email performance over time.
Audience segmentation
Use tags, segments, and custom_fields to understand and group your audience.
Use Kit data in your AI and BI tools
Once Kit 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 Kit 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 Kit connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Gmail: Sync Gmail 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.
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