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Targeted Advertising and Consumer Inference

Author

Listed:
  • Jiwoong Shin

    (School of Management, Yale University, New Haven, Connecticut 06520)

  • Jungju Yu

    (College of Business, KAIST, Seoul, South Korea)

Abstract

The mere fact that consumers are targeted by advertisements can affect their inference about the expected utility of a product. We build a micromodel where multiple firms compete through targeted advertising. Consumers make inferences from targeted advertising about their potential match values for the product category, as well as the advertising firm’s unobserved quality. We show that in equilibrium, upon being targeted by a firm, consumers make more positive inferences about the product category and the firm’s quality. With such improved beliefs, a targeted consumer is more likely to engage in a costly search throughout the category. We find that the increase in consumer search creates an advertising spillover beyond the level of the mere awareness effects of advertising and that firms’ equilibrium level of targeted advertising can be nonmonotonic in targeting accuracy. Additionally, we show that sometimes it can be optimal for firms to relinquish customer data and instead engage in nontargeted advertising. The results provide insights into the tradeoffs between advertising reach and targeting accuracy.

Suggested Citation

  • Jiwoong Shin & Jungju Yu, 2021. "Targeted Advertising and Consumer Inference," Marketing Science, INFORMS, vol. 40(5), pages 900-922, September.
  • Handle: RePEc:inm:ormksc:v:40:y:2021:i:5:p:900-922
    DOI: 10.1287/mksc.2021.1284
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    References listed on IDEAS

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    Cited by:

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    2. Haoyang Cao & Zhengqi Wu & Renyuan Xu, 2024. "Inference of Utilities and Time Preference in Sequential Decision-Making," Papers 2405.15975, arXiv.org, revised Jun 2024.
    3. Qian, Zhifeng & Day, Steven James & Ignatius, Joshua & Dhamotharan, Lalitha & Chai, Junwu, 2024. "Digital advertising spillover, online-exclusive product launches, and manufacturer-remanufacturer competition," European Journal of Operational Research, Elsevier, vol. 313(2), pages 565-586.
    4. Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
    5. Xia, Liangjie & Li, Kang & Wang, Jun & Xia, Yi & Qin, Juanjuan, 2024. "Carbon emission reduction and precision marketing decisions of a platform supply chain," International Journal of Production Economics, Elsevier, vol. 268(C).
    6. Tommaso Bondi & Omid Rafieian, 2023. "Privacy and Polarization: An Inference-Based Approach," Working Papers 23-09, NET Institute.

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