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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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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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