Integrate Zuora with Mixpanel
Zuora is a subscription management tool that allows companies to manage every aspect of their subscription business and automate their customer lifecycles - all from a single platform. This allows businesses to keep up with fast-changing market strategies and maintain their ongoing subscriber relationships.
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.
Popular Use Cases
Bring all your Zuora data to Amazon Redshift
Load your Zuora data to Google BigQuery
ETL all your Zuora data to Snowflake
Move your Zuora data to MySQL
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
Integrate Zuora With Mixpanel Today
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Zuora's End Points
Get details about any payments that were sent to Zuora accounting, including the payment date, amount, and any unique identifiers that are associated with it. This will help you create more detailed and accurate sales analytics.
Retrieve data about any accounts that you have in Zuora - bank accounts, CRM, ERP - including the account’s name, ID, type, and description. Then, integrate this data with other endpoints to track income and expense details for each account. This will provide you with a more comprehensive understanding of your company’s overall performance.
Automate even the most complex revenue processes and accurately account for all of your business costs in order to have comprehensive accounting and more accurate reporting, forecasting, and projections.
Track which clients are subscribed to which plans, as well as when they subscribed, when they canceled, and how many users they are subscribed with. This field also allows you to track charges associated with those subscriptions so that you can monitor the revenue that they generate.
Track all bank transactions that are captured by Zuora, including both payments that you have received and business expenses that you have paid. Then, use that data to gain a better understanding of your finances. Specifically, look at details gathered from those transactions - such as the bank account IDs, transaction dates, amounts paid, and type of transaction - to better understand your finances and see if any changes need to be made.
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.