Mixpanel connector

Set up the Mixpanel connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 2 hours ago

Kaivo is a fully managed data platform that syncs your Mixpanel 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 Mixpanel connector

Sync your Mixpanel product analytics into BigQuery with Kaivo to analyse events and user behaviour alongside the rest of your data.

CategoryMarketing & Sales, Tech
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Mixpanel connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Mixpanel 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 Mixpanel

The Mixpanel connector supports 2 ways to connect. Pick the one that fits how you work.

Service Account

Authenticate with your Mixpanel credentials. You provide:

FieldDescription
Username

Mixpanel Service Account Username. See the docs for more information on how to obtain this.

Secret

Mixpanel Service Account Secret. See the docs for more information on how to obtain this.

Project ID

Your project ID number. See the docs for more information on how to obtain this.

Project Secret

Authenticate with your Project Secret.

FieldDescription
Project Secret

Mixpanel project secret. See the docs for more information on how to obtain this.

Configuring the Mixpanel connector

When you set up the connector, you provide:

FieldDescription
Attribution Window

A period of time for attributing results to ads and the lookback period after those actions occur during which ad results are counted.

Project Timezone

Time zone in which integer date times are stored. The project timezone may be found in the project settings in the Mixpanel console.

Select Properties By Default

Setting this config parameter to TRUE ensures that new properties on events and engage records are captured. Otherwise new properties will be ignored.

Start Date

Any data before this date will not be fetched.

Region

The region of your Mixpanel instance, either US or EU.

Tables and columns synced from Mixpanel

The streams and columns for this connector aren't listed automatically yet.

How the Mixpanel sync works

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

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

Common use cases for Mixpanel data

Event analysis

Analyse your Mixpanel events to study the actions that matter most over time.

Funnel and retention

Use event and user data to track how users move through key flows and come back.

Product context

Join product behaviour with your revenue data to connect usage to outcomes.

Use Mixpanel data in your AI and BI tools

Once Mixpanel 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 Mixpanel data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide β†’

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide β†’

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 β†’

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide β†’

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide β†’

Excel

Connect via Power Query's BigQuery connector. Setup guide β†’

Metabase

Open-source BI tool with strong BigQuery support. Setup guide β†’

See our pricing page for Mixpanel connector pricing and plan details.