MailerLite connector
Set up the MailerLite connector in Kaivo: authentication, configuration, the 8 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 MailerLite 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 MailerLite connector
Sync your MailerLite email data into BigQuery with Kaivo to measure subscriber growth, campaigns, and automations in one place.
Getting started with the MailerLite connector
- Sign up for Kaivo and create a workspace.
- Connect your MailerLite 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 MailerLite
Authenticate with your API Token.
Tables and columns synced from MailerLite
Kaivo syncs 8 tables from MailerLite into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
automations (43 columns)
automations (43 columns)
Subtable: automations__steps
Subtable: automations__trigger_data__exclude_group_ids
Subtable: automations__triggers
Subtable: automations__triggers__exclude_group_ids
Subtable: automations__triggers__excluded_groups
Subtable: automations__warnings
campaigns (56 columns)
campaigns (56 columns)
Subtable: campaigns__emails
Subtable: campaigns__filter
Subtable: campaigns__filter__list
Subtable: campaigns__filter__list__args
Subtable: campaigns__filter_for_humans
Subtable: campaigns__filter_for_humans__list
Subtable: campaigns__missing_data
Subtable: campaigns__warnings
forms_embedded (22 columns)
forms_embedded (22 columns)
Subtable: forms_embedded__groups
Subtable: forms_embedded__warnings
forms_popup (30 columns)
forms_popup (30 columns)
Subtable: forms_popup__groups
Subtable: forms_popup__settings__hide_on
Subtable: forms_popup__settings__triggers
Subtable: forms_popup__settings__url_list
Subtable: forms_popup__warnings
forms_promotion (31 columns)
forms_promotion (31 columns)
Subtable: forms_promotion__groups
Subtable: forms_promotion__settings__hide_on
Subtable: forms_promotion__settings__triggers
Subtable: forms_promotion__settings__url_list
Subtable: forms_promotion__settings__url_list_strict
Subtable: forms_promotion__warnings
segments (10 columns)
segments (10 columns)
subscribers (26 columns)
subscribers (26 columns)
timezones (7 columns)
timezones (7 columns)
How the MailerLite sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where MailerLite 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 MailerLite?
It depends on how much history is in your MailerLite 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 MailerLite'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 MailerLite, 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 MailerLite 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 MailerLite connector in Kaivo and all of its synced data is deleted with it.
Common use cases for MailerLite data
Subscriber growth
Use subscribers and segments to track how your list grows and which segments engage.
Campaign performance
Track campaigns to compare email results over time.
Automation reporting
Bring automations into BigQuery to see how automated flows perform.
Form conversion
Use forms_popup and forms_embedded to see which forms grow your list fastest.
Use MailerLite data in your AI and BI tools
Once MailerLite 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 MailerLite 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 MailerLite 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.
Was this helpful?
Still need help? Share an idea