Adaptive Sales Automation - Chatbots as Personalized and Scalable Sales Agents
Anouk S. Bergner
Marketing Review St.Gallen, 2020, vol. 37, issue 5, 50-57
Abstract:
Artifcial intelligence and natural language processing are fundamentally changing consumer-firm interactions. Sales automation via chatbots is often merely thought of as a cost-saving opportunity. This paper argues that well-designed chatbots allow to establish and nurture customer-firm relationships. The paper proposes a framework that assists in designing and dynamically adapting interface features to brand characteristics and customer needs. The framework is mapped along the traditional sales funnel, suggesting strategies for integrating chatbots throughout the entire customer journey.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/276109/1/MRSG_2020_5_50-57.pdf (application/pdf)
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:zbw:hsgmrs:276109
Access Statistics for this article
Marketing Review St.Gallen is currently edited by Sven Reinecke, Thomas Bieger, Johanna Gollnhofer, Dennis Herhausen, Andreas Herrmann, Christian Hildebrand, Thomas Rudolph, Christian Schmitz, Marcus Schögel, Torsten Tomczak, Dirk Zupancic, Christian Belz, Heinz Weinhold-Stünzi
More articles in Marketing Review St.Gallen from Universität St.Gallen, Institut für Marketing und Customer Insight
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().