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An exploration of social media micro-targeting on advertising effectiveness: A case study of a tech startup in Kano, Nigeria

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
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  • Recommended for :
  • NGN 5000

Background of the study

Social media micro-targeting has revolutionized digital advertising by enabling marketers to reach highly specific consumer segments with tailored messages. For tech startups in Kano, Nigeria, micro-targeting leverages advanced data analytics to deliver personalized content based on user behavior, preferences, and demographic profiles (Ibrahim, 2023). This approach maximizes advertising effectiveness by ensuring that messages are relevant to individual consumers, thereby increasing engagement and conversion rates. Micro-targeting allows tech startups to allocate advertising budgets more efficiently and generate higher ROI by focusing on niches that are most likely to respond positively to the campaign. However, despite its advantages, micro-targeting faces challenges such as data privacy concerns, algorithmic limitations, and the potential for over-segmentation, which can lead to audience fragmentation. This study explores how social media micro-targeting affects advertising effectiveness for a tech startup in Kano. It examines the methods used to segment audiences, the resulting engagement metrics, and the overall impact on campaign performance. The goal is to provide recommendations for optimizing micro-targeted advertising campaigns in a rapidly evolving digital landscape (Chinwe, 2024).

 

Statement of the problem

Tech startups in Kano encounter challenges in implementing social media micro-targeting effectively due to data privacy issues, segmentation complexities, and the risk of alienating broader audiences. While micro-targeting offers precision, its success is hindered by potential over-segmentation and inadequate data integration, which can reduce overall campaign effectiveness. This study seeks to identify the factors limiting the impact of micro-targeted ads on advertising performance and propose strategies for optimizing segmentation and message personalization (Ibrahim, 2023).

Objectives of the Study

To assess the impact of micro-targeting on advertising effectiveness.

To identify challenges in social media segmentation.

To recommend strategies for optimizing micro-targeted campaigns.

Research Questions

How does micro-targeting influence advertising effectiveness?

What challenges hinder successful audience segmentation?

How can micro-targeting strategies be optimized for better performance?

Significance of the study

This study provides critical insights into the role of social media micro-targeting in enhancing advertising effectiveness. Its findings will help tech startups in Kano refine their targeting strategies to achieve higher engagement and conversion rates. The research contributes to digital marketing literature by offering actionable recommendations for overcoming segmentation challenges and maximizing ROI (Chinwe, 2024).

Scope and Limitations of the Study

This study is limited to exploring social media micro-targeting on advertising effectiveness within a tech startup in Kano, Nigeria.

Definitions of Terms

Micro-targeting: Delivering highly specific advertising messages to narrowly defined audience segments.

Advertising Effectiveness: The degree to which an advertising campaign achieves its desired outcomes.

Tech Startup: A newly established company in the technology sector.





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