Integrate Mixpanel with Codat
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.
Codat is an API that allows for seamless, straightforward integrations with accountancy and financial software systems. By simplifying the integration process, it allows users to take their mind off of ETL and shift their focus to improving their business and their core offerings.
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 Codat data to Amazon Redshift
Load your Codat data to Google BigQuery
ETL all your Codat data to Snowflake
Move your Codat data to MySQL
Integrate Mixpanel With Codat 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.
Codat's End Points
Add company entities and organize them by various properties, including contact details, company name, registration number, etc. Then, retrieve this information as necessary or integrate it with other relevant customer platforms.
Use the bills resource to integrate your billing and organize it based on various properties, including ID, status, issue date, and currency. You can also retrieve all bills for a company as necessary to ensure that your information is always accurate and comprehensive.
Keep a record of the reduction in amount owed to a company resource by a customer. This information may also be linked to an invoice in the underlying accounting platform.
Monitor data on any invoice that was sent to a client. This includes both basic details about the invoice and details about the current status of the invoice i.e. if it was sent, paid, disputed, etc. This data can help you get a clearer view of your expected revenue gains and losses, which can help you to run accurate predictive analyses.
Gather data about payments made on the invoices that you have sent to your clients. Use this data to track how much you are making from specific customers or during specific time periods. This will allow you to hone your marketing efforts and score leads more effectively.