I'm thrilled to announce the publication of "Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach," now available from Springer.
A heartfelt thank you to our brilliant editors - Dr. Soumi Dutta , Álvaro Rocha, Dr. Pronaya Bhattacharya and Prof.(Dr.)Ramanjeet Singh - for their exceptional work in bringing together cutting-edge research in this rapidly evolving field.
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.
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.
We thank the editors for review and support
To all the contributing authors: your insights and expertise have created an invaluable resource for professionals and researchers alike. Your work will undoubtedly shape the future of influencer marketing analytics.
And to our readers: your support and interest drive the advancement of knowledge in this domain. I encourage you to explore this comprehensive volume, which offers a unique interdisciplinary perspective on data analytics in influencer marketing.
The book is now available in multiple formats:
Hardcover ISBN: 978-3-031-65726-9 (Published: 24 August 2024)
eBook ISBN: 978-3-031-65727-6 (Published: 23 August 2024)
Softcover ISBN: 978-3-031-65729-0 (Due: 07 September 2025)
For those interested in accessing the digital version, the DOI is: https://doi.org/10.1007/978-3-031-65727-6
This volume is part of the Information Systems Engineering and Management series (ISSN: 3004-958X, E-ISSN: 3004-9598).
Let's continue to push the boundaries of what's possible in influencer marketing analytics. Happy reading!
#InfluencerMarketing #DataAnalytics #NewRelease #SpringerBook