Sync Mixpanel Data to Heap in Minutes

Last updated: June 17, 2025
Ensure Data Quality
Mixpanel
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Heap
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  • Customer Since:
    May, 2023
  • Customer Since:
    July, 2018
  • Case Study
    Customer Since:
    August, 2019
  • Customer Since:
    November, 2017
  • Customer Since:
    December, 2021
  • Case Study
    Customer Since:
    January, 2025
  • Customer Since:
    September, 2017
  • Customer Since:
    March, 2022

Table of Contents

  • About Mixpanel
  • About Heap
  • Popular Use Cases
  • Mixpanel's End Points

About Mixpanel

Mixpanel gathers product usage data, including metrics like what features are being used most frequently, the number of active users, and when user engagement rises or drops. It also automatically collects data on all user actions and uses that data to provide a variety of useful insights, such as automatic suggestions for how to improve customer retention and lead acquisition. Since usage data is collected from the start, Mixpanel can also track newly defined metrics using historical data.

About Heap

Heap builds analytics infrastructure for every online business. They automate the annoying parts of user analytics. No more manual anything. Just insights.

Popular Use Cases

Bring all your Mixpanel data to Amazon Redshift

Load your Mixpanel data to Google BigQuery

ETL all your Mixpanel data to Snowflake

Move your Mixpanel data to MySQL

Bring all your Heap data to Amazon Redshift

Load your Heap data to Google BigQuery

ETL all your Heap data to Snowflake

Move your Heap data to MySQL

Mixpanel's End Points

Mixpanel Events

Get any or all raw event data that has been collected by Mixpanel, including what events have occurred, when they happened, and any relevant properties about those events. Then, integrate this raw data with other data sources to get new or deeper usage analytics.

Mixpanel Funnels

Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.

Mixpanel Segmentation

Gather event data that is filtered into segments by an array of properties, such as date range, country, and specific search terms. Then, use that filtered Mixpanel data to get deeper, more detailed analytics into your product performance.

Mixpanel People Analytics

Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.

Mixpanel Retention

Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, you can feed that Mixpanel data into your analytics to provide a more comprehensive view of your retention trends over time.

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