Open AccessCharacterizing and Predicting Early Reviewers for Effective Product Marketing on E-commerce Websites
Author(s) -
S S S D Saichand Chebolu,
P. L. Kiranmay
Publication year - 2020
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-640
Subject(s) - product (mathematics) , marketing , e commerce , business , new product development , website design , advertising , computer science , world wide web , geometry , mathematics
Before making an informed purchase decision, online reviews have become an important source of information for users. Early reviews of products often have a significant impact on subsequent product sales. For companies, it is important to find early reviewers, because their feedback can help the company adjust marketing strategies and improve product design, which ultimately leads to the success of new products. In this article, we take the initiative to study the behavioral characteristics of early commenter’s through their comments published on two large e-commerce platforms in the real world.