Integrate Mixpanel with Base CRM
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 Base CRM
Base is the industry’s first Intelligent Sales Productivity Platform.
Unlike legacy cloud CRM and Salesforce Automation systems like Salesforce, Base leverages big data, mobility and real-time computing to help sales teams close more deals faster, while providing sales leaders with unprecedented visibility into the sales pipeline and forecast.
With remarkably easy to use yet powerful web and mobile apps, Base is designed for the way people work in today’s organizations, allowing users to tap valuable sales and customer data anytime, from any device.
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 Base CRM data to Amazon Redshift
Load your Base CRM data to Google BigQuery
ETL all your Base CRM data to Snowflake
Move your Base CRM data to MySQL
Integrate Mixpanel With Base CRM Today
Free 7-day trial. Easy setup. Cancel any time.
Mixpanel's End Points
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.
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.
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 data to get deeper, more detailed analytics into your product performance.
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.
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 data into your analytics to provide a more comprehensive view of your retention trends over time.