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Price Surge Prediction for Football Star Signature Edition Football Boots

Author(s)

Xi Dong

Affiliation(s)

Shanghai Minhang High School, Shanghai, China

Abstract

Multiple Linear Regression model is a preferred method for dealing with prediction problems. It can be used to analyze how a series of factors affect another factor. It is widely used because of its practicality and scientificity. This study aims to explore the phenomenon of football star's sneakers premium. First, the current popularity of electronic consumption and the effect of brand building on consumer goods are introduced. Then, the factors affecting the signature football shoes of football stars are found, namely, the six dimensions of star achievement, star value, star popularity, fan stickiness, team situation and sneaker market potential, and the impact of each factor on the average spillover price of sneakers is quantitatively analyzed. The data are processed by multivariate linear regression model. The results show that the personal brand value of stars (including achievements, value, popularity and fan stickiness) and the market potential of sneakers are the main factors affecting the premium; the team situation also has a positive impact, but it is relatively small. The study reveals the important role of star personal charm and market operation in the formation of sneaker premium, and points out that future research can further examine the impact of co-branded sneakers and different sizes. The research results are of great significance to the optimization of marketing strategies, the formulation of price strategies, supply chain management and consumer behavior analysis, which will help brands to formulate marketing plans and pricing strategies more accurately, optimize supply chain processes, and deeply understand consumer needs, so as to promote the healthy development and innovation of the sporting goods industry.

Keywords

Football Star; Fitting Model; Premium; Brand Marketing

References

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