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Advances in data analytics for influencer marketing = an interdisciplinary approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in data analytics for influencer marketing/ edited by Soumi Dutta ...[et al.].
其他題名:	an interdisciplinary approach /
其他作者:	Dutta, Soumi.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	vii, 440 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Internet marketing. -
電子資源:	https://doi.org/10.1007/978-3-031-65727-6
ISBN:	9783031657276

Advances in data analytics for influencer marketing = an interdisciplinary approach /
Advances in data analytics for influencer marketingan interdisciplinary approach /[electronic resource] :edited by Soumi Dutta ...[et al.]. - Cham :Springer Nature Switzerland :2024. - vii, 440 p. :ill. (chiefly col.), digital ;24 cm. - Information systems engineering and management,v. 93004-9598 ;. - Information systems engineering and management ;v. 1..

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dynamic field requires more than just intuition-it demands a mastery of data analytics and an interdisciplinary approach. Introducing this groundbreaking book equips marketers, analysts, and business leaders with the tools and strategies to navigate the complexities of influencer marketing with precision and confidence. Written by leading experts in the field, this comprehensive book explores the intersection of data analytics, consumer behavior, and influencer marketing, offering a holistic perspective on this powerful marketing technique. This book equips the readers with the knowledge and tools to stay ahead of the curve and drive unparalleled success in the ever-evolving world of influencer marketing.

ISBN: 9783031657276

Standard No.: 10.1007/978-3-031-65727-6doiSubjects--Topical Terms:

559675
Internet marketing.

LC Class. No.: HF5415.1265

Dewey Class. No.: 658.872

Advances in data analytics for influencer marketing = an interdisciplinary approach /
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