Long Lags and Large Returns: Experimental Evidence from Advertising to Businesses

Using a multiyear experiment, we show that advertising to businesses can generate very different responses than has been observed for consumers. First, we estimate larger advertising returns than typically found for consumers: a return on ad spend of 12.0 (95% CI: 4.8–24.5). Second, we estimate longer lags between ad delivery and purchase: 1–5 months for first-time purchases and 5–12 months or longer for repeat purchases. Third, we find that existing business customers are responsible for most of the revenue lift from advertising, though this appears to be driven by existing business customers purchasing new parts. Additionally, our results demonstrate that geography-based switchback experiments that randomize the time between treatments can provide an effective means of estimating lagged effects. For this study we randomized the delivery of digital display ads for electronic components offered by a semiconductor manufacturer; nearly all electronic products require such components. This paper was accepted by Duncan Simester, marketing. Funding: M. Goic acknowledges partial funding by ANID Chile [Grants PIA AFB230002 and Fondecyt No. 1221711] and the Institute for Research in Market Imperfections and Public Policy (IS130002 ANID); K. Kalyanam acknowledges financial support from the co-operating company; and M. Thomas acknowledges financial support from National University of Singapore [Startup Grant A-0003320-01-00]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.02661 .

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Publication Details

Journal
Management Science
Published
2025-02-12
DOI
https://doi.org/10.1287/mnsc.2023.02661
Citations
2
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
4.15
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article

Long Lags and Large Returns: Experimental Evidence from Advertising to Businesses

Marcel Goić, Kirthi Kalyanam, Michael Thomas
2 citations
Management Science
Consumer Market Behavior and Pricing
4.15
article

Long Lags and Large Returns: Experimental Evidence from Advertising to Businesses

Marcel Goić, Kirthi Kalyanam, Michael Thomas
article en
2 citations

Abstract

Using a multiyear experiment, we show that advertising to businesses can generate very different responses than has been observed for consumers. First, we estimate larger advertising returns than typically found for consumers: a return on ad spend of 12.0 (95% CI: 4.8–24.5). Second, we estimate longer lags between ad delivery and purchase: 1–5 months for first-time purchases and 5–12 months or longer for repeat purchases. Third, we find that existing business customers are responsible for most of the revenue lift from advertising, though this appears to be driven by existing business customers purchasing new parts. Additionally, our results demonstrate that geography-based switchback experiments that randomize the time between treatments can provide an effective means of estimating lagged effects. For this study we randomized the delivery of digital display ads for electronic components offered by a semiconductor manufacturer; nearly all electronic products require such components. This paper was accepted by Duncan Simester, marketing. Funding: M. Goic acknowledges partial funding by ANID Chile [Grants PIA AFB230002 and Fondecyt No. 1221711] and the Institute for Research in Market Imperfections and Public Policy (IS130002 ANID); K. Kalyanam acknowledges financial support from the co-operating company; and M. Thomas acknowledges financial support from National University of Singapore [Startup Grant A-0003320-01-00]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.02661 .

Management ScienceVol. 71(10)
Santa Clara University (US), Complex Engineering System Institute (CL), University of Chile (CL), University of Missouri (US)
Openalex Percentile: Top 8%
Consumer Market Behavior and Pricing
4.15
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Long Lags and Large Returns: Experimental Evidence from Advertising to Businesses — Marcel Goić, Kirthi Kalyanam, et al. · Management Science (2025) | TGRS Research Map | TGRS