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An Investigation of Business Analytics in Optimizing Advertising Spend: A Study of Digital Marketers in Kaduna State

  • Project Research
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  • Abstract : Available
  • Table of Content: Available
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  • NGN 5000

Background of the Study

Business analytics has become a cornerstone of decision-making for organizations seeking to optimize advertising spend. It provides actionable insights through data analysis, enabling digital marketers to allocate resources effectively and maximize return on investment (ROI). Tools like Google Analytics, Tableau, and advanced machine learning algorithms are increasingly employed to measure campaign performance and predict consumer behavior.

In Kaduna State, the rise of digital marketing has made businesses more reliant on data-driven strategies to compete in the online space. Marketers must contend with budget constraints and the need to achieve measurable results, making business analytics a vital tool. According to Okoro and Musa (2023), firms using analytics-driven approaches reported higher campaign efficiencies compared to those relying on intuition or traditional methods. However, challenges such as limited expertise and inadequate infrastructure hinder widespread adoption in the region.

Statement of the Problem

Despite the proven benefits of business analytics in optimizing advertising spend, many digital marketers in Kaduna State face difficulties in leveraging these tools effectively. Common challenges include lack of access to robust data, insufficient technical skills, and resistance to change from traditional marketing methods.

Adebayo and Yusuf (2024) noted that organizations failing to implement analytics lose significant opportunities to improve campaign ROI and streamline advertising costs. This investigation explores the extent to which digital marketers in Kaduna State utilize business analytics to optimize their advertising spend and the barriers they encounter in the process.

Objectives of the Study

  1. To assess the level of adoption of business analytics by digital marketers in Kaduna State.

  2. To evaluate the impact of business analytics on optimizing advertising spend.

  3. To identify challenges hindering the adoption of business analytics in digital marketing.

Research Questions

  1. To what extent do digital marketers in Kaduna State adopt business analytics?

  2. How does business analytics impact the optimization of advertising spend?

  3. What are the challenges faced in adopting business analytics for advertising?

Research Hypotheses

  1. Business analytics is not significantly adopted by digital marketers in Kaduna State.

  2. Business analytics does not significantly optimize advertising spend.

  3. Challenges do not significantly hinder the adoption of business analytics in digital marketing.

Scope and Limitations of the Study

The study focuses on digital marketers in Kaduna State, exploring their adoption and use of business analytics to optimize advertising. Limitations include variations in the technical capacity of marketers and differences in access to analytics tools.

Definitions of Terms

  • Business Analytics: The use of statistical methods, data mining, and predictive modeling to analyze and optimize business operations.

  • Advertising Spend: The budget allocated for marketing and promotional activities.

  • Digital Marketers: Professionals who use online platforms and tools to promote products or services.





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