The DOI matches its Crossref record.
A Model for Predictive Measurements of Advertising Effectiveness
Abstract
The development and selection of research designs too often reflects thinking which is technique-oriented. This article looks at advertising research from another viewpoint. It starts with the questions: What is advertising supposed to do? What are its functions? The authors then show the implications of these questions in relation to measurements of the effectiveness of proposed advertisements.
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
Cited by
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Information Processing from Advertisements: Toward an Integrative Framework
MacInnis, D. J., & Jaworski, B. J. (1989) · Journal of Marketing · doi:10.1177/002224298905300401 · Cited by 653
The effectiveness of celebrity endorsements: a meta-analysis
Knoll, J., & Matthes, J. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0503-8 · Cited by 601
How Advertising Works on the WWW: Modified Elaboration Likelihood Model
Cho, C.-H. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505087 · Cited by 281
Perspectives on consumer decision making: an integrated approach
Hansen, T. (2005) · Journal of Consumer Behaviour · doi:10.1002/cb.33 · Cited by 218
Koo, G.-Y., Quarterman, J., & Flynn, L. (2006) · Sport Marketing Quarterly · doi:10.1177/106169340601500203 · Cited by 210
Consumer Engagement with Brand Posts on Social Media in Consecutive Stages of the Customer Journey
Demmers, J., Weltevreden, J. W. J., & van Dolen, W. M. (2020) · International Journal of Electronic Commerce · doi:10.1080/10864415.2019.1683701 · Cited by 170
Understanding Virtual Reality in Marketing: Nature, Implications and Potential
Barnes, S. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2909100 · Cited by 149
Comparative versus Noncomparative Advertising: A Meta-Analysis
Grewal, D., Kavanoor, S., Fern, E. F., Costley, C., & Barnes, J. (1997) · Journal of Marketing · doi:10.1177/002224299706100401 · Cited by 146
Wang, X., & Qiu, X. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103777 · Cited by 118
Design and Validation of an Instrument for Measuring Advertising Effectiveness in the Printed Media
Beerli, A., & Santana, J. D. M. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505092 · Cited by 93
Juntunen, M., Ismagilova, E., & Oikarinen, E.-L. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.03.001 · Cited by 92
Unclarity confusion and expiration date labels in the United States: a consumer perspective
Hall-Phillips, A., & Shah, P. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.007 · Cited by 83
Teichert, T., Hardeck, D., Liu, Y., & Trivedi, R. (2018) · Journal of Advertising Research · doi:10.2501/jar-2017-054 · Cited by 73
Allil, K. (2024) · Journal of Marketing Analytics · doi:10.1057/s41270-023-00281-z · Cited by 57
Revisiting the theory of business-to-business advertising
Mora Cortez, R., Gilliland, D. I., & Johnston, W. J. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.03.012 · Cited by 56
Advertising and Young People’s Critical Reasoning Abilities: Systematic Review and Meta-analysis
Packer, J., Croker, H., Goddings, A.-L., Boyland, E. J., Stansfield, C., Russell, S. J., & Viner, R. M. (2022) · Pediatrics · doi:10.1542/peds.2022-057780 · Cited by 47
Marketing effectiveness of hotel Twitter accounts: The case of Saudi Arabia
Alansari, M. T., Velikova, N., & Jai, T.-M. (. (2018) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2017-0096 · Cited by 30
Metadata
- Authors
- Lavidge, R. J., & Steiner, G. A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1961-10
- Volume
- 25
- Issue
- 6
- Pages
- 59-62
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2325627778
- Cited by
- 1,509
- References
- 0
- FWCI
- 14.77
- 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
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.