期刊
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
卷 48, 期 1, 页码 64-78出版社
SPRINGER
DOI: 10.1007/s11747-019-00693-3
关键词
Mobile marketing; Mobile personalization; Mobile marketing mix; Artificial intelligence
类别
The prevalence of mobile usage data has provided unprecedented insights into customer hyper-context information and brings ample opportunities for practitioners to design more pertinent marketing strategies and timely targeted campaigns. Granular unstructured mobile data also stimulate new research frontiers. This paper integrates the traditional marketing mix model to develop a framework of personalized mobile marketing strategies. The framework incorporates personalization into the center of mobile product, mobile place, mobile price, mobile promotion, and mobile prediction. Extant studies in mobile marketing are reviewed under the proposed framework, and promising topics about personalized mobile marketing are discussed for future research.
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