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Understanding the Impact of Synergy in Multimedia Communications

Naik, Prasad A., Raman, Kalyan·2003·Journal of Marketing Research

Abstract

Many advertisers adopt the integrated marketing communications perspective that emphasizes the importance of synergy in planning multimedia activities. However, the role of synergy in multimedia communications is not well understood. Thus, the authors investigate the theoretical and empirical effects of synergy by extending a commonly used dynamic advertising model to multimedia environments. They illustrate how advertisers can estimate and infer the effectiveness of and synergy among multimedia communications by applying Kalman filtering methodology. Using market data on Dockers brand advertising, the authors first calibrate the extended model to establish the presence of synergy between television and print advertisements in consumer markets. Second, they derive theoretical propositions to understand the impact of synergy on media budget, media mix, and advertising carryover. One of the propositions reveals that as synergy increases, advertisers should not only increase the media budget but also allocate more funds to the less effective activity. The authors also discuss the implications for advertising overspending. Finally, the authors generalize the model to include multiple media, differential carryover, and asymmetrical synergy, and they identify topics for further research.

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Metadata

Authors
Naik, P. A., & Raman, K.
Venue
Journal of Marketing Research
Published
2003-11
Volume
40
Issue
4
Pages
375-388
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2167560365
Cited by
570
References
0
FWCI
42.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding the Impact of Synergy in Multimedia Communications. https://app.cochat.ai/papers/10.1509/jmkr.40.4.375.19385
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Naik, P. A., & Raman, K. (2003). Understanding the Impact of Synergy in Multimedia Communications. Journal of Marketing Research. https://doi.org/10.1509/jmkr.40.4.375.19385

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.