Cited by 103Consumer Market Behavior and PricingMarketing and Advertising StrategiesDigital Marketing and Social Media

Effect of temporal spacing between advertising exposures: Evidence from online field experiments

Sahni, Navdeep S.·2015·Quantitative Marketing and Economics

Integrity signals

Registry

Crossref · 10.1007/s11129-015-9159-9

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Pavlik, P.I., & Anderson, J.R. (2003). An ACT-R model of the spacing effect. In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 177–182).
  2. Sawyer, A.G., & Ward, S. (1979). Carry-over effects in advertising communication. Research in Marketing, 2, 259–314.
  3. Winer, R.S. (1993). Using single-source data as a natural experiment for evaluating advertising effects. Journal of Marketing Science, 2(2), 15–31.

Authors
Sahni, N. S.
Affiliations
Stanford University (US)
Corresponding author
Sahni, Navdeep S.
Venue
Quantitative Marketing and Economics
Published
2015-08-26
Volume
13
Issue
3
Pages
203-247
ISSN
  • 1570-7156 (ISSN-L)
  • 1573-711X
OpenAlex
W2289422949
Cited by
103
References
57
Citations by year
2026: 3 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 6 · 2021: 6 · 2020: 9 · 2019: 16 · 2018: 8 · 2017: 9 · 2016: 10 · 2015: 7 · 2014: 3 · 2013: 2 · 2012: 2
FWCI
28.15
Type
journal article
Language
en
Open access
closed
Locations
  • Quantitative Marketing and Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
Keywords
advertising exposure, purchase probability, advertising effectiveness, memory-based models, counterfactual simulation, online field experiment

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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.

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