The hidden conversion funnel of mobile vs. desktop consumers

Anat Goldstein, Chen Hajaj

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We compare mobile and desktop user progress through the conversion funnel. Using detailed log-files of an online flight search engine, we analyze consumer search behavior and model the stages consumers go through along the funnel in both mobile and desktop platforms. We ask: Do mobile and desktop users go through similar funnel stages? Are the funnel stages of both platforms characterized differently? To analyze the progress through the funnel, we use hidden Markov models (HMM) that capture latent funnel stages based on observable search-behavior variables indicative of convergence towards a purchase. We find that while similar stochastic processes characterize funnel stages on both platforms, the distribution of visits across stages in the two platforms is significantly different: a larger percentage of mobile visits resides in more advanced stages, indicating that mobile consumers use the website when they are more advanced in the funnel, where less cognitive effort is required.

Original languageEnglish
Article number101135
JournalElectronic Commerce Research and Applications
Volume53
DOIs
StatePublished - 1 May 2022
Externally publishedYes

Keywords

  • Conversion funnel
  • Hidden Markov models
  • HMM
  • M-commerce
  • Mobile
  • Purchasing funnel

ASJC Scopus subject areas

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

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