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.
With over a decade of experience, Listrak is a cloud-based digital marketing platform that focuses on providing leading retailers with specialized marketing tools to boost one-on-one customer interactions, improve business revenue, maximize customer engagement, and increase growth. By combining the power of advanced artificial intelligence, machine learning, predictive analytics, and real human intelligence, Listrak automates marketing tasks, offers powerful CRM solutions, and analyzes data from multiple platforms to drive your retail, operations, and marketing goals — all while building better relationships with your customers across all devices and channels.
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 Listrak data to Amazon Redshift
Load your Listrak data to Google BigQuery
ETL all your Listrak data to Snowflake
Move your Listrak data to MySQL
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.
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.
Listrak Cross-Channel Orchestration tools empower you to build seamless customer experiences. The platform's intuitive tools facilitate the creation of multi-stage, personalized marketing journeys that engage customers based on real-time behaviors. Listrak also gives you the ability to connect with guests one-on-one, in real-time with intelligently-triggered communication across multiple channels like SMS, email, and social media. Plus, the platform's drag-and-drop interface helps users create beautiful, responsive emails for marketing campaigns.
Listrak's Customer Insights tools unlock the secrets buried in your customer data with powerful analytics and visualization features that include more than 70 pre-built visualizations for building dashboards to your specifications. Customer Insights provide a bird's eye view of each Customer Journey and seamlessly integrate with the Listrak platform to turn insights into marketing campaigns with a single click. This fuels more engaging and effective customer interactions, and informs your segmentation and automation efforts.
Listrak monitors customer behaviors to trigger individually-tailored interactions. By tracking browsing behavior, engagement statistics, purchase information, and lifecycle incidents for customers, Listrak knows where each customer is at in their 'journey.' This allows the platform to respond to a customer's intent with specialized communications — like abandonment messages to re-engage active shoppers.
Listrak's predictive personalization tools use machine learning, artificial intelligence, and data modeling to boost the success of marketing campaigns. By analyzing past behavioral data, these predictive analytics tools can predict the likelihood of future behavior based on different variables.
Listrak pulls data from various sources, synthesizes it, and analyzes it as a whole to identify key customer signals, and incorporate them into a 360-degree customer profile for the most accurate and actionable customer data possible.