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.
Aftership is a shipment tracking platform designed to be built into a company’s website as a branded tracking page. It provides customers with details about a shipment, including what courier is delivering the package, where it is, and when it is estimated to be delivered. For the retailer, Aftership reduces logistical workload by monitoring the status of a shipment and automatically sending updates to customers as that status changes. It also helps retailers identify and respond to problems in their delivery systems by providing analytic reports on how many shipments were sent, delivered, lost, etc.
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 Aftership data to Amazon Redshift
Load your Aftership data to Google BigQuery
ETL all your Aftership data to Snowflake
Move your Aftership 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.
Aftership's End Points
Create or receive tracking details for a shipment, including its carrier, destination, tracking number and the checkpoints that it has reached. This data can be used to set up customer alerts or to provide detailed analytics about your shipment history.
Retrieve a list of couriers that are activated on your Aftership account or related to a tracking number for a specific shipment. The returned data will include the name of the courier, their contact information - website, phone number, etc. - and the fields required to track shipments that they are delivering.
Aftership Last Checkpoint
Receive information about the last checkpoint that a shipment has reached, including the courier, location, status, and the time that it reached the checkpoint. Then, you can use this data to send status updates to customers containing the most recent information available for their deliveries.
Get a list of which customers receive notifications for a particular tracking number and how they receive them i.e. via email, SMS, etc. Then, use this endpoint to add or remove customers from that list to ensure that customers only receive relevant notifications in their preferred manner.