Textual customer data handling for quantitative marketing analytics

Kristof Coussement, Koen W. De Bock

Research output: Chapter in Book/Conference paperChapter

Abstract

Recently there has been a huge influx in the creation, storage, and accessibility of textual consumer information resulting in challenging opportunities for database marketing analysts in academia and business. Three main circumstances are identified in which textual customer information is produced and could help to deliver better customer knowledge and insights. First, companies are shifting from traditional consumer contact methods such as telephone or letters, to more advanced online ways of communicating and interacting with their customers such as emails, online helpdesks/question forms, third-party customer contact solutions (for example, feefo.com) or 24/7 chat boxes. This individual traceable client/company interaction information could help to deliver valuable insights in explaining customers’ behavior. Second, the popularity of mass online usergenerated content mechanisms in the form of social media environments like Twitter, Tripadvisor, Rottentomatoes, and so on, where consumers post their opinions and thoughts about the company’s product or services, delivers new challenges to marketing managers nowadays. Third, traditional offline marketing research by paper and pen and face-2-face interviews shifted toward online surveying at the beginning of this century, after which it moved toward an online (n)ethnography-based research environment where customers are put together for a longer period in an online community in which different topics are discussed. Community-based research regularly results in a tremendous amount of textual information that has to be analyzed at the end of each research session.
Original languageEnglish
Title of host publicationAdvanced Database Marketing
Subtitle of host publicationInnovative Methodologies and Applications for Managing Customer Relationships
EditorsKristof Coussement, Koen W. de Bock, Scott A. Neslin
Place of PublicationUK
PublisherTaylor & Francis
Chapter2
Pages41-66
Number of pages26
Edition1
ISBN (Electronic)9781317185291, 9781315565682
ISBN (Print)9781409444619
Publication statusPublished - 2013
Externally publishedYes

Fingerprint Dive into the research topics of 'Textual customer data handling for quantitative marketing analytics'. Together they form a unique fingerprint.

Cite this