INFLUENCE OF SOCIAL MEDIA MARKETING ON SALES PERFORMANCE OF MOBILE NETWORK OPERATORS IN KENYA

Abstract: The general objective of this study was to examine the influence of social media marketing on sales performance of the mobile network operators in Kenya. A descriptive research approach was employed for the analysis. The focus of the study was on the marketing departments of three selected telecom companies in Kenya: Safaricom Plc, Telkom Kenya, and Bharti Airtel Kenya. A total of 2223 sales representatives from the marketing sector were part of the research. To achieve a representative sample, respondents were divided into two groups using a stratified sampling technique. The selection of participants was conducted through a simple random sampling method. Data was gathered through a structured questionnaire. An initial test was done with 22 participants from Safaricom, who were excluded from the main research. This study incorporated content validity, which evaluates how well the test items reflect the subject matter it aims to assess. The questionnaires' reliability was measured using the Cronbach alpha method. The analysis of quantitative data collected was subjected to mean and standard deviation-based descriptive statistical analysis. To understand the relationships between variables, the research utilized inferential statistics, including techniques such as multiple regression and correlation analyses. The findings indicated that social media marketing positively and significantly impacted the sales outcomes of mobile network providers in Kenya. The study concluded that social media marketing greatly benefits mobile network operators in Kenya by boosting sales because it allows direct customer engagement, helping operators understand preferences and tailor offerings, which builds brand loyalty and encourages repeat purchases. The study recommended that the companies should develop targeted advertising campaigns that focus on specific demographics and regions within Kenya, utilizing data analytics to identify potential customer segments. Keywords: Social Media Marketing, Digital Marketing Strategy, Sales Performance. Title: INFLUENCE OF SOCIAL MEDIA MARKETING ON SALES PERFORMANCE OF MOBILE NETWORK OPERATORS IN KENYA Author: Jean Adikinyi Namahia, Mr James Nzili, Mr Michael Kiama International Journal of Social Science and Humanities Research ISSN 2348-3156 (Print), ISSN 2348-3164 (online) Vol. 13, Issue 3, July 2025 - September 2025 Page No: 326-332 Research Publish Journals Website: www.researchpublish.com Published Date: 30-August-2025 DOI: https://doi.org/10.5281/zenodo.17008573 Paper Download Link (Source) https://www.researchpublish.com/papers/influence-of-social-media-marketing-on-sales-performance-of-mobile-network-operators-in-kenya

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17008573
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

INFLUENCE OF SOCIAL MEDIA MARKETING ON SALES PERFORMANCE OF MOBILE NETWORK OPERATORS IN KENYA

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

INFLUENCE OF SOCIAL MEDIA MARKETING ON SALES PERFORMANCE OF MOBILE NETWORK OPERATORS IN KENYA

article en

Abstract

Abstract: The general objective of this study was to examine the influence of social media marketing on sales performance of the mobile network operators in Kenya. A descriptive research approach was employed for the analysis. The focus of the study was on the marketing departments of three selected telecom companies in Kenya: Safaricom Plc, Telkom Kenya, and Bharti Airtel Kenya. A total of 2223 sales representatives from the marketing sector were part of the research. To achieve a representative sample, respondents were divided into two groups using a stratified sampling technique. The selection of participants was conducted through a simple random sampling method. Data was gathered through a structured questionnaire. An initial test was done with 22 participants from Safaricom, who were excluded from the main research. This study incorporated content validity, which evaluates how well the test items reflect the subject matter it aims to assess. The questionnaires' reliability was measured using the Cronbach alpha method. The analysis of quantitative data collected was subjected to mean and standard deviation-based descriptive statistical analysis. To understand the relationships between variables, the research utilized inferential statistics, including techniques such as multiple regression and correlation analyses. The findings indicated that social media marketing positively and significantly impacted the sales outcomes of mobile network providers in Kenya. The study concluded that social media marketing greatly benefits mobile network operators in Kenya by boosting sales because it allows direct customer engagement, helping operators understand preferences and tailor offerings, which builds brand loyalty and encourages repeat purchases. The study recommended that the companies should develop targeted advertising campaigns that focus on specific demographics and regions within Kenya, utilizing data analytics to identify potential customer segments. Keywords: Social Media Marketing, Digital Marketing Strategy, Sales Performance. Title: INFLUENCE OF SOCIAL MEDIA MARKETING ON SALES PERFORMANCE OF MOBILE NETWORK OPERATORS IN KENYA Author: Jean Adikinyi Namahia, Mr James Nzili, Mr Michael Kiama International Journal of Social Science and Humanities Research ISSN 2348-3156 (Print), ISSN 2348-3164 (online) Vol. 13, Issue 3, July 2025 - September 2025 Page No: 326-332 Research Publish Journals Website: www.researchpublish.com Published Date: 30-August-2025 DOI: https://doi.org/10.5281/zenodo.17008573 Paper Download Link (Source) https://www.researchpublish.com/papers/influence-of-social-media-marketing-on-sales-performance-of-mobile-network-operators-in-kenya

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
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