Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 815

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Online Display Advertising: Targeting and Obtrusiveness

Open access
Goldfarb, Avi, Tucker, Catherine·2011·Marketing Science

Abstract

We use data from a large-scale field experiment to explore what influences the effectiveness of online advertising. We find that matching an ad to website content and increasing an ad's obtrusiveness independently increase purchase intent. However, in combination, these two strategies are ineffective. Ads that match both website content and are obtrusive do worse at increasing purchase intent than ads that do only one or the other. This failure appears to be related to privacy concerns: the negative effect of combining targeting with obtrusiveness is strongest for people who refuse to give their income and for categories where privacy matters most. Our results suggest a possible explanation for the growing bifurcation in Internet advertising between highly targeted plain text ads and more visually striking but less targeted ads.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1287/mksc.1100.0583

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 6 references

Research works printed but not linked: 38

  1. Aaker D. A., 2004, Marketing Research
  2. 10.1287/mksc.1040.0103 · DOI · Paper page
  3. 10.1016/S0165-1765(03)00032-6 · DOI · Paper page
  4. 10.2307/3152046 · DOI
  5. Boush D. M., 2009, Deception in the Marketplace: The Psychology of Deceptive Persuasion and Consumer Self Protection
  6. 10.1207/s15327663jcp0403_02 · DOI · Paper page
  7. 10.1287/mksc.22.4.520.24906 · DOI · Paper page
  8. 10.1287/mksc.20.1.23.10201 · DOI
  9. 10.1080/00913367.2004.10639175 · DOI · Paper page
  10. 10.1007/s11129-009-9066-z · DOI
  11. 10.1002/dir.10063 · DOI
  12. 10.1080/00913367.2002.10673678 · DOI · Paper page
  13. Fink A., 2009, How to Conduct Surveys: A Step-by-Step Guide
  14. 10.1016/S1574-0145(06)01007-5 · DOI · Paper page
  15. 10.1287/mnsc.1090.1054 · DOI · Paper page
  16. 10.1287/mnsc.1100.1287 · DOI
  17. 10.1086/209275 · DOI · Paper page
  18. 10.1007/s11129-005-9004-7 · DOI
  19. 10.1017/S0021849905050270 · DOI
  20. 10.1016/j.econlet.2005.08.024 · DOI · Paper page
  21. 10.1016/S1574-0145(06)01009-9 · DOI
  22. 10.2307/2095231 · DOI · Paper page
  23. Kempe D., Wilbur K. C. What can television networks learn from search engines? How to select, order, and price ads to maximize advertiser welfare. (2009) . Working paper, Duke University, Durham, NC · DOI
  24. 10.1509/jmkr.44.4.688 · DOI
  25. Kline T. J. B., 2005, Psychological Testing: A Practical Approach to Design and Evaluation, 10.4135/9781483385693 · DOI · Paper page
  26. 10.1111/1467-937X.00246 · DOI
  27. 10.1108/S1548-6435(2007)3 · doi:10.1108/s1548-6435(2007)3 · Paper page
  28. 10.1509/jmkr.43.1.98 · DOI
  29. Mandler G., 1982, Affect and Cognition: 17th Annual Carnegie Mellon Symposium on Cognition, 3
  30. 10.1016/j.ijforecast.2007.05.015 · DOI · Paper page
  31. 10.1086/344432 · DOI
  32. Schatz A., 2009, Wall Street Journal
  33. 10.1287/isre.1090.0260 · DOI · Paper page
  34. Turow J., King J., Hoofnagle C. J., Bleakley A., Hennessy M. Contrary to what marketers say, Americans reject tailored advertising and three activities that enable it. (2009) . Working paper, Annenberg School for Communication, University of Pennsylvania, Philadelphia. http://graphics8.nytimes.com/packages/pdf/business/20090929-Tailored_Advertising.pdf · DOI · Paper page
  35. 10.1136/jech.54.3.207 · DOI
  36. 10.1002/dir.20121 · DOI
  37. Wang K., 2008, J. Informatics Electronics, 3, 27
  38. Wilbur K. C., Goeree M. S., Ridder G. Effects of advertising and product placement on television audiences. (2009) . Marshall School of Business, Working Paper MKT 09-09, University of Southern California, Los Angeles · DOI

Cited by

Metadata

Authors
Goldfarb, A., & Tucker, C.
Venue
Marketing Science
Published
2011-05
Volume
30
Issue
3
Pages
389-404
ISSN
  • 0732-2399 (ISSN-L)
  • 1526-548X
OpenAlex
W2088640816
Cited by
815
References
6
FWCI
106.09
Type
journal article
Language
en
Open access
green

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.