In the fierce competition of product sale, in recent years product owners have used the services of Artists and Celebrities to co-promote the products they sell called endorsements. One way the celebrities promotes the products they endorse is through various online social media like Facebook, Twitter, or Instagram. But there are many cases where product owner merely chooses any famous celebrities that will be used to promote their products based on the fame of the artist without proper analysis of the chances of sales success when viewed from a match between items sold to the tastes or likeness of the artist’s fans. In this paper, we propose a method to automatically recommends what types of product to endorse for a celebrity based on their followers’ profiling. We use Instagram to perform a user profiling to determine what the follower users like based on annotation tags of the images they upload. By using clustering to group the followers, we were able to provide an endorsement recommendation to a user that matched with the followers’ preferences.