Integrate FullContact with Mixpanel
By giving businesses a more comprehensive view of their customers in this way, FullContact allows them to provide a more personalized, accurate customer service experience without having to dedicate time to enriching customer data by hand.
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.
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FullContact's End Points
Provide FullContact with a customer’s email address, phone number, or Twitter handle to receive enriched customer data about them, including their name, location, demographic data (age, gender, etc.,) and social media accounts. Then, connect this data to your CRM to make your customer service and support more personalized and accurate.
Use a company’s name or domain to retrieve additional data about that organization, including their location, associated social profiles, and an array of other relevant company details. This helps ensure that you always have accurate information about the companies that you are interacting with, which can be useful for improving your future marketing, customer support, and lead scoring efforts.
Evaluate the validity of a contact’s email address and automatically correct the errors in it so that your customer data stays clean and accurate. In addition to correcting data entry errors, FullContact also returns additional data for the email address - including links to the contact’s “Person API” and “Company API” within FullContact - so that you can continue to ensure that all of your contact information remains synchronized, up-to-date, and accurate.
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.