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.
AskNicely is a survey tool that allows users to collect and act on real-time customer feedback using the net promoter score (NPS) framework. This helps them accurately understand their performance and increase their customer retention, reviews, and referrals.
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 AskNicely data to Amazon Redshift
Load your AskNicely data to Google BigQuery
ETL all your AskNicely data to Snowflake
Move your AskNicely 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.
AskNicely's End Points
Use simple one-touch surveys to generate valuable customer feedback. Then, use this information to create and track your Net Promoter Score (NPS) based on product, channel, rep, etc. This can help provide customer analytics both within AskNicely and in other data sources.
Utilize the survey information both to better interact with your customers and to empower your team. With the survey results, your whole company can gain an accurate understanding of customer experience and your team can take immediate action to drive retention, upgrades, reviews and referrals.
Use your NPS to track your performance over time and see the impact that your marketing and sales campaigns are actually having on customer intent.
Increase the number of customer responses with AskNicely’s automations and optimizations. Then, integrate this customer feedback with other relevant data sources to get a comprehensive overview of your customers and improve your long-term business strategies.
View important metrics for your account like your NPS and the percentage of your respondents that had positive or negative survey responses. This provides a broader view of your survey performance that can help you determine your overall business performance.