Skip to main content
Connectors

Drip connector

Set up the Drip connector in Kaivo: authentication, configuration, the 11 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 Drip 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 Drip connector

Sync your Drip email and automation data into BigQuery with Kaivo to measure campaigns, workflows, and audience growth.

CategoryMarketing & Sales, Surveys & Email
AuthenticationAPI key
SetupSelf-service

Getting started with the Drip connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Drip account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Drip

Authenticate with your API Key.

FieldDescription
API Key

Your Drip API key. Find it in your Drip account settings.

Tables and columns synced from Drip

Kaivo syncs 11 tables from Drip into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
created_atSTRING
default_from_emailSTRING
default_from_nameSTRING
default_postal_addressSTRING
enable_third_party_cookiesBOOL
hrefSTRING
idSTRING
nameSTRING
primary_emailSTRING
urlSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
active_subscriber_countFLOAT64
bccSTRING
created_atSTRING
days_of_the_week_maskSTRING
double_optinBOOL
email_countFLOAT64
from_emailSTRING
from_nameSTRING
hrefSTRING
idSTRING
links__accountSTRING
localize_sending_timeBOOL
minutes_from_midnightFLOAT64
nameSTRING
notify_subscribe_emailSTRING
notify_unsubscribe_emailSTRING
postal_addressSTRING
send_to_confirmation_pageBOOL
start_immediatelyBOOL
statusSTRING
unsubscribed_subscriber_countFLOAT64
use_custom_confirmation_pageBOOL
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_parent_idSTRINGForeign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
valueJSON
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
account_idFLOAT64
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: events__event_actions

ColumnTypeDescription
_kaivo_parent_idSTRINGForeign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
valueSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
created_atSTRING
emailSTRING
eu_consentSTRING
hrefSTRING
idSTRING
links__accountSTRING
prospectBOOL
sms_consentBOOL
statusSTRING
utc_offsetFLOAT64
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: subscribers__tags

ColumnTypeDescription
_kaivo_parent_idSTRINGForeign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
valueJSON
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
account_idFLOAT64
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: tags__tags

ColumnTypeDescription
_kaivo_parent_idSTRINGForeign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
valueSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
emailSTRING
nameSTRING
time_zoneSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
versionFLOAT64
created_atSTRING
hrefSTRING
idSTRING
include_received_emailBOOL
links__accountSTRING
post_urlSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: webhooks__events

ColumnTypeDescription
_kaivo_parent_idSTRINGForeign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
valueJSON
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.
ColumnTypeDescription
_kaivo_idSTRINGPrimary key that uniquely identifies the row. Auto-generated by Kaivo.
created_atSTRING
hrefSTRING
idSTRING
links__accountSTRING
nameSTRING
statusSTRING
_kaivo_extracted_atTIMESTAMPTimestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Drip sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Drip 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 Drip?

It depends on how much history is in your Drip 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 Drip'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 Drip, 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 Drip 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 Drip connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Drip data

Campaign performance

Use campaigns and broadcasts to track email results over time.

Automation reporting

Join workflows with conversions to see how automated flows drive results.

Audience growth

Use subscribers and tags to track how your list grows and segments engage.

Conversion tracking

Use events and conversions to connect email activity to outcomes.

Use Drip data in your AI and BI tools

Once Drip 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 Drip 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 Drip connector pricing and plan details.

Was this helpful?

Still need help? Share an idea