Sparked

At Sparked, we’ve spent the past six years using big data and machine learning techniques to help enterprises gain deep customer intelligence. We’ve ingested every kind of data, used every analytical technique, and understand deeply what makes some customers successful and others fade away. Sparked's Retention Radar helps subscription companies keep their customers. Retention Radar uses machine learning, natural language processing, sentiment analysis, and modeling techniques to discover attributes and customer behaviors that are highly correlated with churn and retention. It tells companies which components or features of their product are working well and which are leading to churn. After using Radar to understand customer patterns in depth, Sparked helps companies retain customers with targeted interventions - or "next best actions." Now, we’ve wrapped many of our best techniques and learnings into our first product for businesses that want a simple and intuitive Customer Success solution. It’s called CustomerFit™. And it’s the best product for managing Customer Success in the market. Period.