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A comparative study of conversion optimization on online sales performance: Evidence from a tech retailer in Kano, Nigeria

  • Project Research
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  • NGN 5000

Background of the study

Conversion optimization is fundamental for enhancing online sales performance, especially for tech retailers operating in competitive digital markets like Kano. Tech retailers are increasingly investing in conversion optimization techniques such as A/B testing, user experience enhancements, and personalized content to improve the effectiveness of their digital sales funnels (Okeke, 2023). By analyzing user behavior and iteratively refining website design and functionality, retailers can increase conversion rates and drive revenue growth. Comparative studies suggest that successful conversion optimization not only improves immediate sales performance but also fosters long-term customer loyalty (Adeniyi, 2024). This study examines various conversion optimization strategies implemented by a tech retailer in Kano and compares their impact on online sales performance. Metrics such as bounce rates, average order value, and overall conversion rates are analyzed to determine the effectiveness of these techniques. The goal is to provide insights into best practices that can be replicated to maximize online sales and ensure sustainable digital growth in the tech retail sector (Ibrahim, 2025).

Statement of the problem

Tech retailers in Kano face challenges in consistently improving online sales performance through conversion optimization techniques. Variability in user behavior and inconsistent implementation of optimization strategies lead to suboptimal conversion rates and lost revenue opportunities (Chinwe, 2023). The lack of a comprehensive framework to measure and compare the effectiveness of various optimization methods makes it difficult to determine which strategies yield the best results. This uncertainty hinders efficient resource allocation and limits the potential for sustained online sales growth. Addressing these issues is crucial for establishing best practices that can reliably enhance conversion rates and drive revenue performance.

Objectives of the Study:

To compare different conversion optimization techniques and their effect on online sales.

To analyze key metrics that indicate improved conversion performance.

To propose best practices for enhancing conversion rates for tech retailers.

Research Questions:

How do various conversion optimization strategies influence online sales performance?

Which key metrics are most indicative of successful conversion optimization?

What best practices can be implemented to improve conversion rates in tech retail?

Significance of the study (100 words):

This study is significant as it provides a comparative analysis of conversion optimization techniques and their impact on online sales performance for tech retailers in Kano. The findings will guide retailers in refining their digital strategies to enhance conversion rates and drive revenue growth. The research contributes practical recommendations to optimize user experience and offers insights that can be applied across the tech retail industry.

Scope and Limitations of the Study:

This study is limited to examining conversion optimization strategies and their impact on online sales performance for a tech retailer in Kano. It does not extend to other industries or regions, and findings are subject to local market trends.

Definitions of Terms:

Conversion Optimization: Techniques used to increase the proportion of website visitors who complete a desired action.

Online Sales Performance: The effectiveness of online sales channels in generating revenue.

Tech Retailer: A business that sells technology-based products through digital platform

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 





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