Study of data science in Online Behavioural Advertising

Neha Sureshchandra Maurya

Data science, advertisement, online behavioural advertisement, process model, marketing, behavioural targeting

Abstract - Since the COVID-19 pandemic spread, social media has become an increasingly important element of people's life. Online activity in the digital domain has expanded considerably, showing a higher reliance on social media platforms for communication in both personal and professional situations. Coronavirus has a global impact on e-commerce and hence transformed the nature of business. Despite the Covid-19 issue and economic slowdown, the Indian e-commerce industry exhibited an upward trend after the lockdown, registering a 17% increase in the order volume as of June 2020, when compared to the pre-lockdown period, which continues after the post lockdown period as well. [1] As a result, advertisers took the time to rethink their methods in order to develop the perfect commercials and reassess who their target audience was. The outbreak proved to be the ideal time for this, given how markets and algorithms are constantly shifting, particularly while individuals are stuck at home. Companies began looking for ways to attract buyers for their products utilizing data science methodologies in order to enhance their revenue. We are consolidating our results on how advertisers use data science methodology to acquire customers and the influence on them.

Published Paper   E-Certificate

"Study of data science in Online Behavioural Advertising", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 1, page no.36 - 40, January-2024, Available :https://ijsdr.org/papers/IJSDR2401005.pdf

Volume 9 Issue 1, January-2024

Pages : 36 - 40

Paper Reg. ID: IJSDR_209740

Published Paper Id: IJSDR2401005

Downloads: 000347192

Research Area: Information Technology 

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2401005

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2401005

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition