The DOI matches its Crossref record.
Visual influence on in-store buying decisions: an eye-track experiment on the visual influence of packaging design
Abstract
This article describes the impact of visual attention on consumers' in-store buying behaviour. Through an eye-track experiment, it demonstrates the advantage of a behaviour model that addresses visual attention and an increase in visual stimuli during the process. It reveals that consumers exhibit a muddled search strategy where packaging design influences the decision process in several phases. Five phases were found in an in-store decision process, and the post-purchase phase seems to be essential for even low-level in-store decision processes. Further knowledge on packaging design elements is needed for a broader understanding of visual influence during in-store purchase decisions.
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Cited by
Threats to the validity of eye-movement research in psychology
Orquin, J. L., & Holmqvist, K. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0998-z · Cited by 280
Metadata
- Authors
- Clement, J.
- Venue
- Journal of Marketing Management
- Publisher
- Informa UK Limited
- Published
- 2007-11-26
- Volume
- 23
- Issue
- 9-10
- Pages
- 917-928
- ISSN
- 0267-257X (ISSN-L)
- 1472-1376
- OpenAlex
- W2121569296
- Cited by
- 319
- References
- 0
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Visual influence on in-store buying decisions: an eye-track experiment on the visual influence of packaging design. https://app.cochat.ai/papers/10.1362/026725707x250395
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- Clement, J. (2007). Visual influence on in-store buying decisions: an eye-track experiment on the visual influence of packaging design. Journal of Marketing Management. https://doi.org/10.1362/026725707x250395
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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.
