TY - JOUR
T1 - Seize the Opportunity of Targeted Marketing Under the Platform Membership Mechanism
AU - Hu, Li
AU - Sun, Xiahui
AU - Yu, Hu
AU - Chung, Sai Ho
N1 - Funding:
This work was supported in part by the National Natural Science Foundation of China under Grant 71801210, Grant
72001200, and in part by the Jiangsu Provincial Double-Innovation Doctor Program.
Publisher Copyright:
IEEE
PY - 2022
Y1 - 2022
N2 - Under the pressure of surging advertising costs and fierce market competition, a growing number of online merchants are trying to implement new advertising strategies to improve advertising efficiency and increase sales. In the context of the widespread acceptance of online platform membership, many merchants who lack the ability of Big Data choose to cooperate with platforms to implement targeted advertising strategy (TA strategy). Under this strategy, merchants can separately push different ads to the members and nonmembers, which breaks the past practice of pushing unified ads to the whole market under mass advertising strategy (MA strategy). The platform can obtain the member-only pricing right from the cooperation to enhance the attractiveness of its membership system and charge a higher advertising fee. This article discusses the interaction between the merchant and the platform and obtains the optimal decisions under MA and TA, respectively. Then, we compare the profit performance, advertising efficiency, and product sales between the two strategies. The result shows that the merchant will adopt TA when the gap in charging standards of the two strategies is narrow. Furthermore, when the gap is moderate, the dominance of TA relies on the small proportion of the member group. In addition, we find that the merchant prefers to reduce (increase) the advertising level to members (nonmembers) under TA, in comparison with MA. Through demand analysis under two strategies, a counterintuitive result shows that, in the TA scenario, the demand for products generated by the member group will decrease with the rise of the matching degree.
AB - Under the pressure of surging advertising costs and fierce market competition, a growing number of online merchants are trying to implement new advertising strategies to improve advertising efficiency and increase sales. In the context of the widespread acceptance of online platform membership, many merchants who lack the ability of Big Data choose to cooperate with platforms to implement targeted advertising strategy (TA strategy). Under this strategy, merchants can separately push different ads to the members and nonmembers, which breaks the past practice of pushing unified ads to the whole market under mass advertising strategy (MA strategy). The platform can obtain the member-only pricing right from the cooperation to enhance the attractiveness of its membership system and charge a higher advertising fee. This article discusses the interaction between the merchant and the platform and obtains the optimal decisions under MA and TA, respectively. Then, we compare the profit performance, advertising efficiency, and product sales between the two strategies. The result shows that the merchant will adopt TA when the gap in charging standards of the two strategies is narrow. Furthermore, when the gap is moderate, the dominance of TA relies on the small proportion of the member group. In addition, we find that the merchant prefers to reduce (increase) the advertising level to members (nonmembers) under TA, in comparison with MA. Through demand analysis under two strategies, a counterintuitive result shows that, in the TA scenario, the demand for products generated by the member group will decrease with the rise of the matching degree.
KW - E-commerce platform
KW - loyalty programs
KW - membership
KW - targeted advertising
UR - http://www.scopus.com/inward/record.url?scp=85130493011&partnerID=8YFLogxK
U2 - 10.1109/TEM.2022.3169392
DO - 10.1109/TEM.2022.3169392
M3 - Journal article
AN - SCOPUS:85130493011
SN - 0018-9391
SP - 1
EP - 15
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -