Will this session end with a purchase? Inferring current purchase intent of anonymous visitors

Osnat Mokryn, Veronika Bogina, Tsvi Kuflik

Research output: Contribution to journalArticlepeer-review


Understanding the online behavior and intent of online visitors is the subject of a long line of research. mechanisms to understand the purchase intent of visitors, to increase the number of visits that end with a purchase. anonymous visitors garner little attention, having no shopping history or known interests. Compared to profiled returning customers whose history is known, anonymous visitors garner less attention. The lack of a known shopping history or interests makes it hard to learn from their behavior, or infer their shopping intent. Here, we suggest the use of products’ popularity trends and visit's temporal information to infer the purchase intention of anonymous visitors. We model these dynamics and utilize our model to infer purchase intent of visitors of two large real e-commerce retailer sites. Our model identifies online signals for purchase intent that can be used for online purchase prediction.

Original languageEnglish
Article number100836
Pages (from-to)1-25
JournalElectronic Commerce Research and Applications
StatePublished - 1 Mar 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.


  • Anonymous visitors
  • Products trendiness
  • Purchase intent
  • Session dynamics
  • Temporal session information

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Marketing
  • Management of Technology and Innovation


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