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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“It is therefore not surprising that manufacturers have started to focus on online WOM and some of them even want to manipulate it (Dellarocas, 2006; Godes & Mayzlin, 2009).”
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“We are aware of only one marketing study that contrasts the effectiveness of outreach by current customers (analogous to patients in our context) and independent agents (Godes and Mayzlin, 2009).”
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“In addition, empirically the effect of opinion leadership on the firm’s sales has been shown to depend on a number of factors, such as the sender’s loyalty to the product (Godes and Mayzlin, 2009), whether the stage is trial or repeat (Iyengar et al.”
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“l or biological contagion, they strategize about where in a network to intervene — often where to seed a behavior (e.g., product adoption) by engaging in an intervention (e.g., giving a free product) [9, 22, 24, 28, 33, 43]. The influence maximization literature is devoted to the study of algorithms for finding a set…”
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“Studies have focused on the relation between eWOM and consumers’ purchasing decisions (Chevalier & Mayzlin, 2006; Godes & Mayzlin, 2009, 2004).”
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“The direct effect of customer community engagement on brand recommendation Godes and Mayzlin (2009) reported that the effectiveness of traditional media advertising is declining (especially for younger groups).”
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“WOM increases sales and helps in the diffusion of new products (Chevalier and Mayzlin, 2006; Moe and Trusov, 2011; Godes and Mayzlin, 2009; Iyengar et, al., 2010).”
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“About new methods of advertisement, Godes and Mayzlin (2007) report several other examples where companies promoted their products and services through word-of-mouth (WOM) marketing.”
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“…mediums to reach target audiences of not just business organizations, but any governments, communities, or types of society (e.g. political or social) [15]. to the rapid diffusion of SM globally [11, 16] as well as the continuing rise in penetration and access rate of social media [17, 18].”
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“…driving sales, including everything from television ratings (Godes and Mayzlin 2004) and book sales (Chevalier and Mayzlin 2006) to website traffic (Godes and Mayzlin 2009) and social media participation (Trusov et al. 2009) to hotel consideration (Vermeulen and Seegers 2009) and videogame sales…”
BackgroundWhat Drives Users' Website Registration?Preprint
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“WOM has been examined both theoretically and empirically using a wide range of modeling approaches to understand both the motivations to engage in it and its various impacts (Godes and Mayzlin 2009, Iyengar et al. 2011, Campbell et al. 2017, Berger and Iyengar 2013, Cai et al. 2015).”
Lie, D. S., Gohary, A., Chien, P.-Y., & Truong, B. T. N. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114340 · Cited by 9
Diffusion of complex contagions is shaped by a trade-off between reach and reinforcement
Wan, A., Riedl, C., & Lazer, D. M. J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2422892122 · Cited by 7
Shao, J., Zhang, J., & Guo, B. (2014) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2014.07.006 · Cited by 7
Bao, T. (2015) · International Journal of Internet Marketing and Advertising · doi:10.1504/ijima.2015.072882 · Cited by 7
“Some firms have begun taking initial steps to recruit a small number of consumers to start eWOM campaigns (Bao and Chang, 2014b; Godes and Mayzlin, 2009).”
BackgroundHermaren, V., & Achyar, A. (2018) · INOBIS Jurnal Inovasi Bisnis dan Manajemen Indonesia · doi:10.31842/jurnal-inobis.v2i1.63 · Cited by 7
The 4th V? The effect of word of mouth volatility on product performance
Kim, M., & Yoo, S. (2020) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2020.101016 · Cited by 9
Need to evaluate as a predictor of creating and seeking online word of mouth
Xu, M., Reczek, R. W., & Petty, R. E. (2023) · Marketing Letters · doi:10.1007/s11002-023-09676-5 · Cited by 8
“Practical implications Marketers are increasingly interested in motivating consumers to engage in online conversations about their products (Godes & Mayzlin, 2009).”
BackgroundIncentives for Quality over Time - The Case of Facebook Applications
Claussen, J., Kretschmer, T., & Mayrhofer, P. (2010) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · doi:10.5282/ubm/epub.12500 · Cited by 7
Studying Paths of Participation in Viral Diffusion Process
Jankowski, J., Ciuberek, S., Zbieg, A., & Michalski, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-35386-4_37 · Cited by 7
“The results from research areas related to dynamics and mechanisms of social transmission and adoption are successfully adopted to word of mouth process investigation [11], [33], [22] and viral seeding strategies examination [17], [4].”
BackgroundThe Role of e-WOM in International Communication
de Maya, S. R., Piñero, M. S., López, I. L., & López, M. (2012) · Edward Elgar Publishing eBooks · doi:10.4337/9781781001042.00027 · Cited by 7
Social network design for inducing effort
Yıldırım, P., Wei, Y. “., den Bulte, C. V., & Lu, J. (2020) · Quantitative Marketing and Economics · doi:10.1007/s11129-020-09227-6 · Cited by 7
“…and Walker 2012; Goldenberg et al. 2009; Iyengar et al. 2011; Katona et al. 2011), and leveraging either homophily or peer influence through efficiently targeted marketing effort (e.g., Hill et al. 2006; Godes and Mayzlin 2009; Goel and Goldstein 2013; Bimpikis et al. 2016; Ascarza et al. 2017).”
Impact of Customer’s Social Value on Optimizing Referral Reward Programs
Jiang, F., Mei, S., & Zhong, W. (2020) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2020.1761750 · Cited by 7
“Mayzlin and colleagues (Godes and Mayzlin 2004, 2009; Godes et al. 2005; Mayzlin 2006) prove that firm-offered rewards play an important role on the effectiveness of wordof-mouth spreading via social interactions and social network.”
Background
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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