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.
Stripe is a SaaS payment management tool. It is built to be an all-in-one payment solution for any business, whether that business offers an on-demand service, traditional product sales, or subscription-based services. Stripe’s tools are designed to help users with a variety of tasks related to running those businesses, including: issuing refunds, processing orders, and managing different subscriptions.
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 Stripe data to Amazon Redshift
Load your Stripe data to Google BigQuery
ETL all your Stripe data to Snowflake
Move your Stripe data to MySQL
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.
Stripe's End Points
Retrieve data from all your customer transactions, which provides basic details about the customer, such as their name, address, and email, in addition to data about the charge itself, such as if it was accepted, disputed, refunded, etc.
View or create data about new and existing customers, which allows you to track recurring charges, subscriptions, and multiple purchases. This can, in turn, help you to monitor a customer’s transaction history throughout their lifecycle with your company.
Retrieve any automatically recorded event that occurs on your account, whether it’s a charge, subscription, failed invoice payment, or anything else of note. This allows you to have current, up-to-date data about what is happening on your account at any given moment.
Monitor an invoice, which is created as part of a recurring payment on Stripe. This returns data on the charged amount, whether the invoice was successful, how many attempts the invoice has made to collect the money, and which subscriptions are linked to that invoice, if applicable.
Collect data on different subscription plans that you have, which includes the cost of the plan, how and when it is billed, and the plan’s trial period. You can then integrate the plan data with your subscription or customer data to get a deeper view of the sales performance of various plans.
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 they generate.