Cited by 688AI in Service InteractionsDigital Marketing and Social MediaMarketing and Advertising Strategies

An Emerging Theory of Avatar Marketing

Miao, Fred, Kozlenkova, Irina V., Wang, Haizhong, Xie, Tao, Palmatier, Robert W.·2022·Journal of Marketing

Abstract

Avatars are becoming increasingly popular in contemporary marketing strategies, but their effectiveness for achieving performance outcomes (e.g., purchase likelihood) varies widely in practice. Related academic literature is fragmented, lacking both definitional consistency and conceptual clarity. This article makes three main contributions to avatar theory and managerial practice. First, to address ambiguity with respect to its definition, this study identifies and critically evaluates key conceptual elements of the term avatar, offers a definition derived from this analysis, and provides a typology of avatars’ design elements. Second, the proposed 2 × 2 avatar taxonomy suggests that the alignment of an avatar’s form realism and behavioral realism, across different contingencies, provides a parsimonious explanation for avatar effectiveness. Third, the authors develop an emerging theory of avatar marketing by triangulating insights from fundamental elements of avatars, a synthesis of extant research, and business practices. This framework integrates key theoretical insights, research propositions, and important managerial implications for this expanding area of marketing strategy. Lastly, the authors outline a research program to test the propositions and insights as well as advance future research.

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Crossref · 10.1177/0022242921996646

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79 of 79 references verified0 citation errors · 0 not checkable

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Authors
Miao, F., Kozlenkova, I. V., Wang, H., Xie, T., & Palmatier, R. W.
Affiliations
  • The University of Texas at Arlington (US)
  • University of Virginia (US)
  • Sun Yat-sen University (CN)
  • University of Washington (US)
Corresponding author
Miao, Fred
Venue
Journal of Marketing
Published
2021-05-25
Volume
86
Issue
1
Pages
67-90
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W3127061213
Cited by
688
References
79
Citations by year
2026: 165 · 2025: 191 · 2024: 189 · 2023: 103 · 2022: 33 · 2021: 6 · 2019: 1
FWCI
28.99
Type
journal article
Language
en
Open access
closed
Locations
Journal of Marketing (publishedVersion)
Funders
National Natural Science Foundation of China (71832015; 72072191)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
Keywords
avatars, behavioral realism, purchase probability, marketing strategy

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