Retention Science, also known as ReSci, operates in the marketing technology sector, providing AI-driven lifecycle marketing automation solutions. The company serves innovative marketers looking to enhance customer engagement and drive brand growth. ReSci's platform leverages artificial intelligence to deliver personalized customer experiences by predicting purchasing intent, product affinity, and optimal engagement times. The business model is primarily SaaS (Software as a Service), generating revenue through subscription fees for its platform. ReSci's clients range from small businesses to large enterprises, all seeking to optimize their marketing strategies and improve customer retention. The platform's key features include predictive lead scoring, ad optimization, Facebook synchronization, and churn risk scoring. By identifying hidden patterns in customer data, ReSci enables marketers to make data-driven decisions that foster meaningful customer relationships and increase conversion rates.

Keywords: AI, lifecycle marketing, predictive analytics, customer engagement, SaaS, lead scoring, ad optimization, churn risk, data-driven, personalization.