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
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Model for Predictive Measurements of Advertising Effectiveness. https://app.cochat.ai/papers/10.1177/002224296102500611
- The paper
- Lavidge, R. J., & Steiner, G. A. (1961). A Model for Predictive Measurements of Advertising Effectiveness. Journal of Marketing. https://doi.org/10.1177/002224296102500611
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.
