Artificial Intelligence (AI) and Cyber Tools in Marketing and Sales
Marc Helmold
Additional contact information
Marc Helmold: IU, International University of Applied Sciences
Chapter 22 in Performance Excellence in Marketing, Sales and Pricing, 2022, pp 235-245 from Springer
Abstract:
Abstract Of all a company’s functions, marketing has perhaps the most to gain from artificial intelligence. Marketing’s core activities are understanding customer needs, matching them to products and services and persuading people to buy – capabilities that AI can dramatically enhance (Kreuzer, 2022). No wonder a 2018 McKinsey analysis of more than 400 advanced use cases showed that marketing was the domain where AI would contribute the greatest value. Chief marketing officers are increasingly embracing the technology: An August 2019 survey by the American Marketing Association revealed that implementation of AI had jumped 27% in the previous year and a half. Also, a 2020 Deloitte global survey of early AI adopters showed that three of the top five AI objectives were marketing oriented: enhancing existing products and services, creating new products and services and enhancing relationships with customers.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-031-10097-0_22
Ordering information: This item can be ordered from
http://www.springer.com/9783031100970
DOI: 10.1007/978-3-031-10097-0_22
Access Statistics for this chapter
More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().