A data-driven approach to evaluate the social media post and its influences on customers

This study presents a data mining approach to evaluate the performance metrics of the company's Facebook page based on the interaction between users and the page. Moreover, a reliable model to predict the influence of the Facebook page on users is proposed. Using the model, managers can have a decision on when to post and how to modify the post on company's page to utilize the most efficiency of the social media. Reliability of the model are tested by checking the assumptions of the linear regression used in the problem.