An Analysis of Digital Marketing Strategies and Website Content Usage : Key Requirements, Metrics and Tactics for Hyper-Personalized SMEs Websites

The study evaluates the integration of website content into Digital Marketing Strategies (DMS) to drive the hyper-personalization of Small and Medium Enterprises (SMEs) websites. The study's objectives were to analyse the key requirements and metrics for integrating website content and DMS for SMEs websites, examine the relationship between website content consumption patterns and DMS, and suggest data-driven tactics for hyper-personalized SMEs websites. The study employs a descriptive design and targets a sample of 95 Digital Marketing Agencies using random and purposive sampling techniques. Data collection was through an online questionnaire and desktop research. Data analysis was done through content analysis and the IBM SPSS statistical tool for descriptive and inferential statistics. The Spearman’s rank correlation revealed patterns highlighting both positive and negative monotonic associations between website content usage and DMS. Additionally, the results show that digital marketing strategies have a statistically significant impact on content usage that can influence the hyper-personalization of websites. In today’s competitive landscape, hyper-personalized websites are essential for SMEs to stand out. Therefore, the study suggests data-driven tactics for leveraging hyper-personalized websites to gain a competitive edge in the digital era.

Authors

Institutions

Publication Details

Journal
International Journal of Scientific Research in Science Engineering and Technology
Published
2024-10-06
DOI
https://doi.org/10.32628/ijsrset24115100
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis of Digital Marketing Strategies and Website Content Usage : Key Requirements, Metrics and Tactics for Hyper-Personalized SMEs Websites

Alice Nambiro, Anselemo P. Ikoha, Julia N. Korongo
1 citations
International Journal of Scientific Research in Science Engineering and Technology
Digital Marketing and Social Media
1.13
article

An Analysis of Digital Marketing Strategies and Website Content Usage : Key Requirements, Metrics and Tactics for Hyper-Personalized SMEs Websites

Alice Nambiro, Anselemo P. Ikoha, Julia N. Korongo
article en
1 citations

Abstract

The study evaluates the integration of website content into Digital Marketing Strategies (DMS) to drive the hyper-personalization of Small and Medium Enterprises (SMEs) websites. The study's objectives were to analyse the key requirements and metrics for integrating website content and DMS for SMEs websites, examine the relationship between website content consumption patterns and DMS, and suggest data-driven tactics for hyper-personalized SMEs websites. The study employs a descriptive design and targets a sample of 95 Digital Marketing Agencies using random and purposive sampling techniques. Data collection was through an online questionnaire and desktop research. Data analysis was done through content analysis and the IBM SPSS statistical tool for descriptive and inferential statistics. The Spearman’s rank correlation revealed patterns highlighting both positive and negative monotonic associations between website content usage and DMS. Additionally, the results show that digital marketing strategies have a statistically significant impact on content usage that can influence the hyper-personalization of websites. In today’s competitive landscape, hyper-personalized websites are essential for SMEs to stand out. Therefore, the study suggests data-driven tactics for leveraging hyper-personalized websites to gain a competitive edge in the digital era.

International Journal of Scientific Research in Science Engineering and TechnologyVol. 11(5)
Moi University (KE), Kibabii University (KE)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Digital Marketing and Social Media
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.