UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1906M83


Registration ID:
217368

Page Number

550-558

Share This Article


Jetir RMS

Title

Computational Benchmarking in Digital Marketing: An Opportunity for Machine Learning

Abstract

With the dawn of internet revolution and digital marketing, the light on mass media advertising has been diminishing at a staggering rate and things like personalization, neuro marketing, conversion optimization, marketing automation, voice recognition have been booming, allowing the technology like Artificial Intelligence (AI) to grab the limelight. Although AI has originally been conceived during the 1950s, it has taken nearly half a century for businesses to enjoy the real benefits from its applications. It was only during the twentieth century that the insight related AI-based marketing application took a rapid and wide leap due to the accumulation of rich consumer data generated from popular social engines and private influence of industrial giants. However, AI for marketing is already on the hype and has become a pervasive part of today’s competitive world. Businesses, no matter small or large, are utilizing the marketing opportunities to procure big goals and create massive breakthrough using AI. Since marketing is truly dynamic in nature and deals with the ever-changing people’s emotions, AI takes its form in different business verticals, formulating itself to be the real game changer. Hence this paper attempts to address the prominent use cases of AI in marketing and also aims to establish the future scope of artificial intelligence in various marketing activities.

Key Words

Market Intelligence, Managerial Aspects, Soft Computing, Artificial Intelligence, Machine, Machine Language, Real – Time Data, Marketing Learning.

Cite This Article

"Computational Benchmarking in Digital Marketing: An Opportunity for Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.550-558, June 2019, Available :http://www.jetir.org/papers/JETIR1906M83.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Computational Benchmarking in Digital Marketing: An Opportunity for Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp550-558, June 2019, Available at : http://www.jetir.org/papers/JETIR1906M83.pdf

Publication Details

Published Paper ID: JETIR1906M83
Registration ID: 217368
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 550-558
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002817

Print This Page

Current Call For Paper

Jetir RMS