Abstract

The use of behavioral analytics and clustering to improve user retention tactics in user-centric systems is examined in this research. We create focused retention tactics that cater to certain user demands and behaviors by examining user behavior and grouping users into discrete groupings. According to our research, these data-driven tactics offer a scalable solution for various user-centric platforms while considerably increasing retention rates.

Retaining customers has become critical for businesses hoping to prosper in today's fiercely competitive business environment. Businesses now need to concentrate on keeping their current clientele and acquiring new ones. Why? It is commonly known that boosting client retention rates can result in notable expansion and financial success for businesses. However, attaining high customer retention rates necessitates a calculated strategy and a thorough comprehension of your client's requirements and behavior.