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Cited by 518

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Targeting of Advertising

Iyer, Ganesh, Soberman, David, Villas-Boas, J. Miguel·2005·Marketing Science

Abstract

An important question that firms face in advertising is developing effective media strategy. Major improvements in the quality of consumer information and the growth of targeted media vehicles allow firms to precisely target advertising to consumer segments within a market. This paper examines advertising strategy when competing firms can target advertising to different groups of consumers within a market. With targeted advertising, we find that firms advertise more to consumers who have a strong preference for their product than to comparison shoppers who can be attracted to the competition. Advertising less to comparison shoppers can be seen as a way for firms to endogenously increase differentiation in the market. In addition, targeting allows the firm to eliminate “wasted” advertising to consumers whose preferences do not match a product’s attributes. As a result, the targeting of advertising increases equilibrium profits. The model demonstrates how advertising strategies are affected by firms being able to target pricing. Target advertising leads to higher profits, regardless of whether or not the firms have the ability to set targeted prices, and the targeting of advertising can be more valuable for firms in a competitive environment than the ability to target pricing.

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Crossref · 10.1287/mksc.1050.0117

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Metadata

Authors
Iyer, G., Soberman, D., & Villas-Boas, J. M.
Venue
Marketing Science
Published
2005-08
Volume
24
Issue
3
Pages
461-476
ISSN
  • 0732-2399 (ISSN-L)
  • 1526-548X
OpenAlex
W2138424453
Cited by
518
References
1
FWCI
48.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Targeting of Advertising. https://app.cochat.ai/papers/10.1287/mksc.1050.0117
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Iyer, G., Soberman, D., & Villas-Boas, J. M. (2005). The Targeting of Advertising. Marketing Science. https://doi.org/10.1287/mksc.1050.0117

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.