An Exploratory Study of the Effectiveness of Mobile Advertising

An Exploratory Study of the Effectiveness of Mobile Advertising

Jianping Peng, Juanjuan Qu, Le Peng, Jing ("Jim") Quan
ISBN13: 9781522571162|ISBN10: 1522571167|EISBN13: 9781522571179
DOI: 10.4018/978-1-5225-7116-2.ch009
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MLA

Peng, Jianping, et al. "An Exploratory Study of the Effectiveness of Mobile Advertising." Brand Culture and Identity: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 140-155. https://doi.org/10.4018/978-1-5225-7116-2.ch009

APA

Peng, J., Qu, J., Peng, L., & Quan, J. J. (2019). An Exploratory Study of the Effectiveness of Mobile Advertising. In I. Management Association (Ed.), Brand Culture and Identity: Concepts, Methodologies, Tools, and Applications (pp. 140-155). IGI Global. https://doi.org/10.4018/978-1-5225-7116-2.ch009

Chicago

Peng, Jianping, et al. "An Exploratory Study of the Effectiveness of Mobile Advertising." In Brand Culture and Identity: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 140-155. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7116-2.ch009

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Abstract

This study examines factors related to the effectiveness of mobile advertising. Using a large data set with 115,899 records of ad tap-through from a mobile advertising company in China, the authors identify that the influencing factors for advertisement tap through are application type, mobile operators, scrolling frequency, and regional income level. They use a logit model to analyze how the probability of advertisement tap through is related to the identified factors. The results show that application type, mobile operators, scrolling frequency, and the regional income level are positively correlated with the likelihood whether users would tap on certain types of advertising. In addition, they use the Bayesian network model to estimate the conditional probability for a user to tap on an advertisement in an application after the user already taps on another advertisement in the same application. Based on the findings, the authors propose strategies for mobile advertisers to engage in effective and targeted mobile advertising.

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