Machine Learning Application in Analyzing Online Customer Journey

Authors

  •   Subhabaha Pal Senior Faculty (Data Science and Machine Learning), Manipal ProLearn (Manipal Academy of Higher Education - South Bangalore Campus), 3rd Floor, Salarpuria Symphony, 7, Service Road, Pragathi Nagar, Electronic City Post, Bengaluru - 560 100
  •   Sampa Pal Consultant, Arminus Software Private Limited, HSR Layout, Bengaluru - 560 102

DOI:

https://doi.org/10.17010/ijcs/2019/v4/i3/146161

Keywords:

CIC

, Customer Journey, E-Commerce, FIC, Machine Learning.

Manuscript Received

, March 22, 2019, Revised, April 25, Accepted, April 28, 2019. Date of Publication, June 6, 2019.

Abstract

This is the era of internet which has given rise to multiple opportunities for online users to purchase from digital marketplaces. Understanding the consumer journey of users is important and it is also important to understand their behaviour in the online space. This is an attempt to analyze the behaviour of online users and to predict whether they will be purchasing or opting for a service based on the last touch-point they have accessed (whether it is a customer-initiated touchpoint or a company-initiated touchpoint).

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Published

2019-06-30

How to Cite

Pal, S., & Pal, S. (2019). Machine Learning Application in Analyzing Online Customer Journey. Indian Journal of Computer Science, 4(3), 11–14. https://doi.org/10.17010/ijcs/2019/v4/i3/146161

Issue

Volume 4, Issue 3, May-June 2019

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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