International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Leveraging YouTube Audience Segmentation: Data-Driven Strategies for Sustainable Digital Marketing and Engagement

Author(s) Ms. Anju B
Country India
Abstract In the digital era, YouTube audience segmentation plays a pivotal role in shaping data-driven marketing strategies that foster sustainable engagement and brand growth. With over 2 billion active users monthly, YouTube serves as a dynamic platform were businesses, content creators and advertisers compete for audience attention. Understanding viewer preferences, behavioural patterns and content engagement drivers is essential for optimizing digital marketing efforts. This research delves into statistical segmentation techniques to categorize YouTube audiences based on factors such as content consumption habits, demographic variations and engagement triggers.
To gather relevant insights, primary data was collected from 120 YouTube users through an online survey conducted via Google Forms, supplemented by audience interaction data from Twitter polls and Instagram stories. The survey explored key elements including preferred content types, watch time duration, thumbnail effectiveness, title attractiveness and responsiveness to personalized recommendations. The study employs statistical analysis techniques to classify distinct audience segments and assess their preferences, providing valuable data for strategic decision making in content creation and marketing optimization.
The findings underscore the significance of data-driven segmentation in crafting customized content strategies that align with diverse audience expectations. By identifying the characteristics of high engagement segments, content creators and marketers can tailor video formats, themes and marketing campaigns to boost viewer retention, watch time and audience loyalty. Furthermore, the study highlights how data-driven insights contribute to sustainable digital marketing by reducing resource wastage and enhancing content relevancy.
By bridging the gap between audience behaviour and strategic content creation, this research offers a framework for enhancing YouTube’s digital marketing ecosystem. These insights will aid marketers, influencers and businesses in maximizing engagement, ensuring a suitable and data-backed approach to digital marketing on YouTube.
Keywords YouTube, Data-Driven Marketing, Content Strategy, Segmentation, Consumer Behaviour
Field Computer > Data / Information
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.54082
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals