The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Firm-Created Word-of-Mouth Communication: Evidence from a Field Test
Abstract
In this paper, we investigate the effectiveness of a firm's proactive management of customer-to-customer communication. We are particularly interested in understanding how, if at all, the firm should go about effecting meaningful word-of-mouth (WOM) communications. To tackle this problem, we collect data from two sources: (1) we implement a large-scale field test in which a national firm created word of mouth through two populations: customers and noncustomers, and (2) we collect data from an online experiment. We break our theoretical problem into two subproblems. First, we ask: “What kind of WOM drives sales?” Motivated by previous research, we hypothesize that for a product with a low initial awareness level, WOM that is most effective at driving sales is created by less loyal (not highly loyal) customers and occurs between acquaintances (not friends). We find support for this in the field test as well as in an experimental setting. Hence, we demonstrate the potential usefulness of exogenously created WOM: conversations are created where none would naturally have occured otherwise. Then, we ask: “Which agents are most effective at creating this kind of WOM?” In particular, we are interested in evaluating the effectiveness of the commonly used opinion leader designation. We find that although opinion leadership is useful in identifying potentially effective spreaders of WOM among very loyal customers, it is less useful for the sample of less loyal customers.
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An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,486
Chaudhuri, A., & Holbrook, M. B. (2001) · Journal of Marketing · doi:10.1509/jmkg.65.2.81.18255 · Cited by 6,674
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Regression Analysis of Count Data: Author Index
Cameron, A., & Trivedi, P. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511814365 · Cited by 6,406
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Self-citationZero defections: quality comes to services.
Reichheld, F. F., & Sasser, W. E. (1990) · PubMed · Cited by 5,373
The antecedents and consequences of customer satisfaction for firms
Anderson, E. W., & Sullivan, M. W. (1993) · Marketing Science · doi:10.1287/mksc.12.2.125 · Cited by 4,610
Research works printed but not linked: 15
- Cialdini R., 2005, Persuasion: Psychological Insights and Perspectives, 143
- Engel J. E., 1969, J. Advertising Res., 9, 3
- Godes D., 2004, Case Study: Hasbro Games—POX
- Holmes J. H., 1977, J. Advertising Res., 17, 35
- Katz E., 1955, Personal Influence
- Keller E., 2003, The Influentials
- Khermouch G., 2001, Bus. Week, 50
- McConnell B., 2003, Creating Customer Evangelists
- O'Malley G., 2005, MediaPost
- Neff J., 2006, Advertising Age
- Petty R. E., 2005, Persuasion: Psychological Insights and Perspectives, 81
- Reichheld F. F., 1990, Harvard Bus. Rev., 68, 105
- Swan J. E., 1989, J. Retailing, 65, 516
- Verlegh P. W. J., 2004, Adv. Consumer Res., 31, 304
- Walker R., 2004, New York Times
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“[15] Godes, D.”
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Zhang, Y., Moe, W. W., & Schweidel, D. A. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2231553 · Cited by 3
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Zhang, R. M. (2015) · Tuwhera (Auckland University of Technology) · Cited by 2
Signaling to a Network of ConsumersPreprint
Campbell, J. D. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1710877 · Cited by 3
Impact of eWOM Source Characteristics on The Purchasing Intention.
Shabsogh, N. M. A. (2013) · Bradford Scholars (University of Bradford) · Cited by 3
Yesiloglu, S. (2018) · Bournemouth University Research Online (Bournemouth University) · Cited by 3
Casas, L., Cadet, F. T., & Weisfeld‐Spolter, S. (2025) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-12-2024-2354 · Cited by 3
Modeling Product Choices in a Peer Network
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Metadata
- Authors
- Godes, D., & Mayzlin, D.
- Affiliations
- Harvard University (US)
- Yale University (US)
- Venue
- Marketing Science
- Published
- 2009-07
- Volume
- 28
- Issue
- 4
- Pages
- 721-739
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W2132559268
- Cited by
- 837
- References
- 59
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 24 · 2023: 52 · 2022: 41 · 2021: 46 · 2020: 54 · 2019: 55 · 2018: 52 · 2017: 50 · 2016: 57 · 2015: 72 · 2014: 73 · 2013: 81 · 2012: 53
- FWCI
- 155.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Marketing Science (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- word of mouth, opinion leadership, customer loyalty, sales effectiveness, customer awareness
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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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