2015
DOI: 10.1007/s11129-015-9159-9
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Effect of temporal spacing between advertising exposures: Evidence from online field experiments

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Cited by 93 publications
(27 citation statements)
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References 52 publications
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“…If an offer serves as a reminder of the products available on the platform, its impact can decline depending on the time elapsed from when it was sent (beginning of the offer) because of possible forgetting (Sahni 2015). However, its effect on expenditure at a point of time should not directly depend on whether the offer is valid.…”
Section: Longer-term Effectsmentioning
confidence: 99%
“…If an offer serves as a reminder of the products available on the platform, its impact can decline depending on the time elapsed from when it was sent (beginning of the offer) because of possible forgetting (Sahni 2015). However, its effect on expenditure at a point of time should not directly depend on whether the offer is valid.…”
Section: Longer-term Effectsmentioning
confidence: 99%
“…Lodish et al (1995) report a meta-analysis of advertising experiments using split cable, where the only difference between the experimental and treatment group was on the TV advertisements they saw. Sahni (2015) use online field experiment to test for alternative mechanisms by which the temporal spacing of advertising impacts sales;…”
Section: A Advertisingmentioning
confidence: 99%
“…Methodologically, this paper is part of a small but growing empirical literature in marketing using field experiments to measure advertising effects (e.g., Eastlack and Rao 1989;Lodish et al 1995;and Sahni 2015). More broadly, this paper contributes to a research paradigm bridging empirical work in behavioral and quantitative marketing.…”
Section: Introductionmentioning
confidence: 99%
“…This approach has been used in prior work on other advertising channels (e.g., Goldfarb and Tucker 2011;Lodish et al 1995) and has the advantage of enabling us to quantify the extent to which campaign outcomes differ. We note that multiple field studies on advertising effectiveness that focus on a single medium and use an approach similar to ours have faced the same limitation (e.g., Goldfarb and Tucker 2011;Hu, Lodish, and Krieger 2007;Johnson, Lewis, and Reiley 2013;Lewis 2010;Lewis and Reiley 2010;Lodish et al 1995;Sahni 2012). In addition, because advertising treatment effects tend to be small and digital advertising field experiments often are statistically underpowered (Lewis and Rao 2013), a meta-analytic approach that pools data from multiple campaigns can be helpful.…”
mentioning
confidence: 94%