“I can get no e-satisfaction”. What analytics say? Evidence using satisfaction data from e-commerce

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

29 Citations (Scopus)

Abstract

This study mines customer satisfaction (CS) segments using almost 270 thousand responses from a CS survey which ran in 140 e-commerce stores of a European country. To achieve this, it develops and applies a business analytics (BA)-informed framework. Then, it presents examples of how one e-commerce store exploited the extracted CS segments to build automated marketing actions for its customers, ranging from social media sharing strategies for the satisfied segments, to discounts for the less satisfied. This study contributes to customer satisfaction and segmentation literature. The extracted insights can be utilized to support decision making, ranging from targeted advertising for specific customer segments, to benchmarking for companies in similar industries.

Original languageEnglish
Article number102954
JournalJournal of Retailing and Consumer Services
Volume66
DOIs
Publication statusPublished - May 2022

Keywords

  • Business analytics
  • Customer satisfaction
  • Customer segmentation
  • Retail analytics
  • e-commerce

Fingerprint

Dive into the research topics of '“I can get no e-satisfaction”. What analytics say? Evidence using satisfaction data from e-commerce'. Together they form a unique fingerprint.

Cite this