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Competitive Interference Effects in Consumer Memory for Advertising: The Role of Brand Familiarity

Kent, Robert J., Allen, Chris T.·1994·Journal of Marketing

Abstract

Although consumers often encounter ads for familiar brands, previous advertising interference studies have used ads for low-familiarity brands. The authors focus on brand familiarity's role in increasing ad memorability and moderating competitive interference. They conducted a factorial experiment varying the familiarity of brands featured in test and competing ads. With differences in ad executions, prior exposure, processing objectives, and exposure time experimentally controlled, subjects displayed substantially better recall of new product information for familiar brands. Their findings suggest that established brands have important advantages in advertising: Consumers should be more likely to recall ad information, and their memory should be less affected by exposure to competitors’ ads. The authors conclude with implications for the marketing of new and mature brands.

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Metadata

Authors
Kent, R. J., & Allen, C. T.
Venue
Journal of Marketing
Published
1994-07
Volume
58
Issue
3
Pages
97-105
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2021540993
Cited by
843
References
0
FWCI
10.99
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Competitive Interference Effects in Consumer Memory for Advertising: The Role of Brand Familiarity. https://app.cochat.ai/papers/10.1177/002224299405800307
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Kent, R. J., & Allen, C. T. (1994). Competitive Interference Effects in Consumer Memory for Advertising: The Role of Brand Familiarity. Journal of Marketing. https://doi.org/10.1177/002224299405800307

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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.