Research on product sales forecast based on online search behavior

The search behavior of Internet users is closely related to the needs of users, which is very important for the decision-making of enterprises. Based on the online search behavior, this paper makes an empirical study on the prediction of product sales, and establishes a model to reflect customer willingness. The findings show that there is a positive correlation between keyword search frequency and product sales. The contribution of this paper is to provide a quantitative model between search behavior and product sales, which can help enterprises to predict product sales and make better decisions.