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Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity

Srinivasan, Shuba, Rutz, Oliver J., Pauwels, Koen·2016·Journal of the Academy of Marketing Science

DOI 10.1007/s11747-015-0431-z

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Harvard business review
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 46,726
The American Economic Review
(2013) · American Economic Review · doi:10.1257/aer.103.5.i · Cited by 15,501
Exit, Voice and Loyalty: Responses to Decline in Firms, Organizations, and States.
Tullock, G., & Hirschman, A. O. H. (1970) · The Journal of Finance · doi:10.2307/2325604 · Cited by 11,199
Generalized impulse response analysis in linear multivariate models
Pesaran, M. H., & Shin, Y. (1998) · Economics Letters · doi:10.1016/s0165-1765(97)00214-0 · Cited by 6,221
Brands and Branding: Research Findings and Future Priorities
Keller, K. L., & Lehmann, D. R. (2006) · Marketing Science · doi:10.1287/mksc.1050.0153 · Cited by 2,490
Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site
Trusov, M., Bucklin, R. E., & Pauwels, K. H. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.90 · Cited by 2,453
Self-citation
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators
de Matos, C. A., & Rossi, C. A. V. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-008-0121-1 · Cited by 1,144
Online Product Opinions: Incidence, Evaluation and Evolution
Moe, W. W., & Schweidel, D. A. (2011) · Marketing Science · doi:10.1287/mksc.1110.0662 · Cited by 628
The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace
Stephen, A. T., & Galak, J. (2011) · Journal of Marketing Research · doi:10.1509/jmr.09.0401 · Cited by 601

Show all 38 references

Research works printed but not linked: 4

Ambler, T. (2003). Marketing and the bottom line. Harlow: Prentice Hall.
Comscore (2014). http://www.comscore.com/Insights/Press-Releases/2014/3/comScore-Releases-February-2014-U.S.-Search-Engine-Rankings . Accessed Nov 2014.
Court, D., Elzinga, D., Mulder, S., &Vetvik, O.J. (2009). The Consumer Decision Journey. McKinsey Quarterly, June.
Kotler, P., & Keller, K. (2012). Marketing management (14th ed.). Upper Saddle: Pearson Prentice-Hall.

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Exploring the interaction between television and branded search advertising: Implications for real-time syncing strategies
Guitart, I. A., & Hervet, G. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-025-01103-7 · Cited by 1

Authors: Srinivasan, S., Rutz, O. J., & Pauwels, K.
Affiliations: Boston University (US)
University of Washington (US)
Özyeğin University (TR)
Corresponding author: Rutz, Oliver J.
ORCID: Srinivasan, Shuba
Rutz, Oliver J.
Pauwels, Koen
Venue: Journal of the Academy of Marketing Science
Publisher: Springer Science and Business Media LLC
Published: 2015-03-14
Volume: 44
Issue: 4
Pages: 440-453
ISSN: 0092-0703 (ISSN-L)
1552-7824
DOI: 10.1007/s11747-015-0431-z
OpenAlex: W2021128188
Cited by: 255
References: 38
Citations by year: 2026: 10 · 2025: 24 · 2024: 28 · 2023: 27 · 2022: 18 · 2021: 34 · 2020: 39 · 2019: 18 · 2018: 24 · 2017: 18 · 2016: 12 · 2015: 3
FWCI: 58.50
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Journal of the Academy of Marketing Science (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
eResearch@Ozyegin (submittedVersion)
Topics: Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
Keywords: path to purchase, earned media, owned media, paid media, customer engagement, search engine advertising, marketing mix, price, advertising, distribution, fast-moving consumer goods, low-involvement products, sales drivers, consumer behavior

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Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity

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