Predictive analytics is revolutionizing customer retention strategies by enabling businesses to anticipate customer behavior and take proactive measures to reduce churn. With the rise of big data, companies leverage machine learning, artificial intelligence, and statistical modeling to identify at-risk customers and tailor personalized engagement strategies. This paper explores the role of predictive analytics in customer retention, analyzing its problem statement, solutions, uses, impact, and scope.
Mbanuzue Charles EkeneOye Oluwafunmilayo EkaeteOsakwe Michael ChukwudiArijeloye Bamidele TemitopeO. JohnA. AdetolaAderibigbe Tope Adetola
Asem OmariOmaia Al-OmariTariq Al-OmariSuliman Mohamed Fati