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A Case Study of Big Data Analytics in Marketing Campaigns: A Study of Telecom Companies in Kano State

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  • NGN 5000

Background of the Study

Big data analytics has emerged as a transformative tool in modern marketing, allowing businesses to gather, analyze, and interpret large datasets to make informed decisions. In the telecom industry, where competition is fierce and customer expectations are high, big data analytics enables companies to design targeted marketing campaigns, predict customer behavior, and improve service personalization (Adebayo & Yusuf, 2024).

In Kano State, telecom companies operate in a highly dynamic environment characterized by increasing data consumption and diverse customer needs. The ability to leverage big data for marketing campaigns is critical for improving customer retention, optimizing resource allocation, and driving profitability. However, challenges such as data privacy concerns, lack of technical expertise, and high implementation costs often hinder the effective utilization of big data analytics (Abubakar et al., 2023).

This study examines the application of big data analytics in marketing campaigns by telecom companies in Kano State, focusing on its impact on customer engagement, campaign effectiveness, and organizational growth.

Statement of the Problem

Despite the potential of big data analytics to revolutionize marketing campaigns, its adoption in Kano State's telecom sector remains inconsistent. Many companies face challenges related to data integration, analytics infrastructure, and skill gaps, which limit their ability to harness the full potential of big data (Ibrahim & Mohammed, 2025).

Moreover, the absence of empirical research on the effectiveness of big data-driven marketing strategies in the region creates a knowledge gap that needs to be addressed. This study aims to explore these challenges and provide insights into the benefits and limitations of big data analytics in marketing.

Objectives of the Study

1. To assess the extent of big data analytics adoption in marketing campaigns by telecom companies in Kano State.

2. To evaluate the impact of big data analytics on customer engagement and campaign effectiveness.

3. To identify challenges faced by telecom companies in implementing big data analytics.

Research Questions

1. To what extent have telecom companies in Kano State adopted big data analytics in their marketing campaigns?

2. How does big data analytics impact customer engagement and campaign effectiveness?

3. What challenges do telecom companies face in implementing big data analytics?

Research Hypotheses

1. H₀: Big data analytics does not significantly enhance the effectiveness of marketing campaigns in telecom companies.

2. H₀: Big data analytics does not significantly improve customer engagement in marketing campaigns.

3. H₀: Challenges such as skill gaps and infrastructure limitations do not significantly hinder the adoption of big data analytics.

Scope and Limitations of the Study

The study focuses on telecom companies operating in Kano State, examining their use of big data analytics in marketing campaigns. Limitations include the varying levels of data analytics maturity among companies and potential biases in data collected through surveys or interviews.

Definitions of Terms

Big Data Analytics: The process of examining large and complex datasets to uncover patterns, trends, and insights for decision-making.

Marketing Campaigns: Organized efforts by businesses to promote products or services to target audiences.

Telecom Companies: Firms providing telecommunication services, including voice, internet, and messaging.

 





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