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.
Millions of users globally rely on Atlassian products every day for improving software development, project management, collaboration, and code quality. Atlassian products include: JIRA Software, JIRA Service Desk, JIRA Core, StatusPage, Confluence, HipChat, Bitbucket, SourceTree, Bamboo, Cover, FishEye, Crucible.
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 Atlassian data to Amazon Redshift
Load your Atlassian data to Google BigQuery
ETL all your Atlassian data to Snowflake
Move your Atlassian 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.
Atlassian's End Points
Request information about your service desk instance, including its version number, how long the instance has been running and what build it is. Accessing this data will, among other things, allow you to more successfully integrate your service desk with other relevant data sources.
Create a customer entity in JIRA Service Desk by providing Atlassian with the customer’s name, email and display name. Then, use this data in other endpoints to track service requests for a specific customer or integrate it with customer service data from other sources to provide a more comprehensive view of a customer’s journey.
Retrieve data on organizations that are engaging with your service desk, including the organizations’ names, IDs, properties and associated users. Then, access this endpoint to track those organizations, their users and their service requests so that you can have a better understanding of your service interactions with them.
Track any and all customer service requests and get relevant data, such as the customer’s contact info, the reason for the request, and the status of the request (what step it is on in your customer service process). Use this data to evaluate how well your company is responding to these requests and/or monitor customer service trends.