Conference proceeding
Aligning Analytics with Marketing Strategy: Using Analytics to Drive Marketing Strategy with New Media Applications
ALIGNING BUSINESS STRATEGIES AND ANALYTICS: BRIDGING BETWEEN THEORY AND PRACTICE, pp 177-194
01 Jan 2019
Abstract
This chapter discusses how changes in the business and technological landscape affect marketing practice in industry and academic research. One difference is that marketers have turned to new media and digital marketing tools to understand better their customers and how they interact with their brand. Another development has been the steady convergence between published marketing theory in the academic literature and practitioner research. The chapter also draws attention to how new media marketing and analytics has fostered new insights about the customer journey, such as the creation of the loyalty loop and the need for alignment in marketing strategy. The implications for analytics education are also examined in the chapter with recommendations for curricula shifts and training as they relate to higher demand for and a shortage of qualified graduates. The chapter concludes with a case study, "Einstein Health System: Erectile Dysfunction," which provides a straightforward illustration of the potential benefits for an organization to align their analytical methods with their marketing strategy.
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Details
- Title
- Aligning Analytics with Marketing Strategy: Using Analytics to Drive Marketing Strategy with New Media Applications
- Creators
- Lawrence Duke - Drexel UniversityAtif Ashraf - Sogeti
- Contributors
- M Anandarajan (Editor)T D Harrison (Editor)
- Publication Details
- ALIGNING BUSINESS STRATEGIES AND ANALYTICS: BRIDGING BETWEEN THEORY AND PRACTICE, pp 177-194
- Series
- Advances in Analytics and Data Science
- Publisher
- Springer Nature
- Number of pages
- 18
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Economics (School of Economics); Decision Sciences (and Management Information Systems); Marketing
- Web of Science ID
- WOS:000455875500011
- Scopus ID
- 2-s2.0-105027222202
- Other Identifier
- 991019169804604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Business
- Social Sciences, Mathematical Methods