Abstract
Omnichannel marketing is often viewed as the panacea for one-to-one marketing, but this strategic path is mired with obstacles. This article investigates three challenges in realizing the full potential of omnichannel marketing: (1) data access and integration, (2) marketing attribution, and (3) consumer privacy protection. While these challenges predate omnichannel marketing, they are exacerbated in a digital omnichannel environment. This article argues that advances in machine learning and blockchain offer some promising solutions. In turn, these technologies present new challenges and opportunities for firms, which warrant further academic research. The authors identify both recent developments in practice and promising avenues for future research. Editor’s Note: This article is part of the JM-MSI Special Issue on “From Marketing Priorities to Research Agendas,” edited by John A. Deighton, Carl F. Mela, and Christine Moorman. Written by teams led by members of the inaugural class of MSI Scholars, these articles review the literature on an important marketing topic reflected in the MSI Priorities and offer an expansive research agenda for the marketing discipline. A list of articles appearing in the Special Issue can be found at http://www.ama.org/JM-MSI-2020.
Original language | English |
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Pages (from-to) | 103-120 |
Journal | Journal of Marketing |
Volume | 85 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2021 |
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The first author’s research is partially supported by the NSFC Project No. 71832008.
Keywords
- attribution
- blockchain
- machine learning
- omnichannel
- privacy