Integrate Mixpanel with Chartio
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.
Chartio is a business intelligence solution that prides itself on ease of use. With its out-of-the-box connections to Snowflake, Google BigQuery, Amazon Redshift, and other popular data sources — along with its ability to provide direct access to information in Google Sheets, CSVs, and cloud applications — Chartio deploys in a few clicks and doesn’t require additional hardware.
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
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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 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.
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.
Chartio's End Points
Chartio Analytics with Visual SQL
Chartio's 'visual SQL' makes it easy for anyone without coding experience to explore, transform, and visualize your data through an intuitive, drag-and-drop user interface. When employees without SQL knowledge can set up a custom report in minutes, this frees up data and engineering teams to focus on more important tasks. Moreover, since the platform is built on SQL, Chartio offers more advanced capabilities to those with SQL knowledge.
Chartio's visual user interface makes it easy to customize dashboards for a more brand-consistent experience. Chartio also allows you to schedule and automate the sharing of dashboards by email, PDF, or a link. In addition, you can create alerts to track your most important metrics and receive notifications that tell you when to take action in response to new developments. Lastly, Chartio dashboards offer a 'Snapshots' tool for viewing historical data and keeping track of the most important metrics for your company.
Chartio Data Security and Compliance
Chartio's database connections offer full control by utilizing a reverse SSH tunnel for the connection. The platform also makes it easy to manage your team members' access and permissions to different types of information. Finally, transferred data is subjected to SSL-encryption, so you don't have to worry about your information being exposed.
Chartio Business Intelligence Features
Chartio's advanced business intelligence features offer the following: (1) data blending to combine different types of data for more robust insights; (2) data stores to save data segments in Chartio without needing to change operational databases; (3) drill-downs to easily dig deeper into your data; (4) drag-and-drop table joins that are automatically built into queries when using Chartio's visual SQL interface; (5) customizable schemas by writing SQL to create specialized tables and columns; (6) extrapolation features to forecast future trends; and many other features.