A Study on Smart Strategies in Digital Marketing on Online Business Growth

Sabarinath, S. and Priyadharshini, R (2026) A Study on Smart Strategies in Digital Marketing on Online Business Growth. A Study on Smart Strategies in Digital Marketing on Online Business Growth, 3 (5). pp. 743-756. ISSN ISSN 3048-8222

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Abstract

Digital marketing has emerged as one of the most transformative forces reshaping how businesses engage
customers, build brand identity, and drive revenue in the modern online economy. This study examines the
smart strategies in digital marketing and their measurable impact on online business growth, conducted at
Xorix Media, a Chennai-based digital media and marketing solutions organisation. Primary data was collected
from 200 respondents comprising digital marketing executives, social media managers, content creators, SEO
executives, sales executives, and team leaders, using a structured questionnaire with a five-point Likert scale
covering 23 performance-related statements. Statistical tools including percentage analysis, Pearson
correlation analysis, simple and multiple linear regression, One-Way ANOVA, and Chi-Square tests were
employed using SPSS. The findings reveal that integrated smart digital marketing strategies – encompassing
search engine optimisation (SEO), social media marketing, content marketing, data-driven personalisation,
real-time analytics, and performance tracking – have a strong and statistically significant positive impact on
online business growth. The simple linear regression model explains 89.89% of the variance in business
performance outcomes. Communication and transparency through digital analytics emerged as the strongest
predictor. This study provides actionable insights for market analysts, business strategists, and digital
practitioners seeking to leverage smart digital marketing for sustainable competitive advantage.
Keywords: Digital Marketing, Online Business Growth, SEO, Social Media Marketing, Content Strategy, Data Analytics,
Customer Engagement, Xorix Media, SPSS, Regression Analysis.

Item Type: Article
Subjects: Management Studies > Human Resource Management
Domains: Management Studies
Depositing User: user 12 12
Date Deposited: 23 May 2026 06:33
Last Modified: 25 May 2026 06:12
URI: https://ir.vistas.ac.in/id/eprint/20599

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