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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Role of Market Forces in Assuring Contractual Performance
Klein, B., & Leffler, K. B. (1981) · Journal of Political Economy · doi:10.1086/260996 · Cited by 3,653
Cited by
Schumann, J. H., von Wangenheim, F., & Groene, N. (2014) · Journal of Marketing · doi:10.1509/jm.11.0316 · Cited by 287
Campbell, C., Plangger, K., Sands, S., Kietzmann, J., & Bates, K. (2022) · Journal of Advertising Research · doi:10.2501/jar-2022-017 · Cited by 156
Zhang, K., & Katona, Z. (2012) · Marketing Science · doi:10.1287/mksc.1120.0740 · Cited by 111
Mehta, N., Chen, X. (., & Narasimhan, O. (2008) · Marketing Science · doi:10.1287/mksc.1070.0310 · Cited by 107
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
Kallus, N., Mao, X., & Zhou, A. (2022) · Management Science · doi:10.1287/mnsc.2020.3850 · Cited by 93
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Targeting of Advertising. https://app.cochat.ai/papers/10.1287/mksc.1050.0117
- The paper
- Iyer, G., Soberman, D., & Villas-Boas, J. M. (2005). The Targeting of Advertising. Marketing Science. https://doi.org/10.1287/mksc.1050.0117
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.