Prioritize sales activity by predicting which new leads are most likely to close.
Determine what action to take with a customer to improve satisfaction and increase revenue.
Increase conversions by identifing new users ready to buy and customers ready to upgrade.
Segment customers to customize sales, marketing, and product by customer attributes.
Predict the conversion rate for a given keyword based on the MSA, the recent weather, google trends data and demographics data.
Maximize marketing ROI by determining the marketing programs driving revenue.
Reduce churn by predicting which customers are likely to churn and why.
Predict future demand for services, such as sessions or downloads.
Prevent fraudulent online transactions while maintaining good customer experience.
Assign physical resources by prioritizing competing requests in order to maximize revenue.
Identify and prevent fraudulent acounts from being created before they cause damage.
Estimate a customer's lifetime value to segment and prioritize high value customers.
Estimate customer satisfaction levels based on customer activity and sparse survey data.