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A comparative study of conversion optimization on online sales: Evidence from a retail electronics brand in Kaduna, Nigeria

  • Project Research
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  • NGN 5000

Background of the study

Conversion optimization is a vital process for enhancing online sales, particularly in competitive markets such as retail electronics in Kaduna, Nigeria. Retail brands in this sector are increasingly utilizing conversion optimization techniques—such as A/B testing, user experience enhancements, and personalized content—to improve website performance and customer engagement. By systematically analyzing user behavior and adjusting digital interfaces, companies aim to increase the percentage of website visitors who complete desired actions, such as purchases or sign-ups (Balogun, 2023). This comparative study focuses on the effectiveness of various conversion optimization strategies employed by a retail electronics brand, providing evidence on how these techniques contribute to online sales growth. The study further compares the performance of optimized campaigns against standard online marketing practices, highlighting the role of data analytics in refining digital strategies. With the rapid growth of e-commerce, conversion optimization has become a competitive differentiator, enabling brands to maximize revenue and improve customer satisfaction (Adeniyi, 2024). Despite these advancements, challenges remain in sustaining high conversion rates due to fluctuating consumer behavior and market competition. This research will provide a comprehensive analysis of best practices and emerging trends in conversion optimization (Ibrahim, 2025).

Statement of the problem

Retail electronics brands in Kaduna encounter difficulties in consistently achieving high online sales despite implementing various conversion optimization strategies. While techniques such as A/B testing and personalization have shown promise, there is ambiguity regarding their long-term effectiveness in improving conversion rates. Factors such as changing consumer preferences, website usability issues, and external competitive pressures further complicate the optimization process (Chukwu, 2023). The lack of comprehensive comparative studies on conversion optimization techniques limits the ability of retailers to understand which strategies yield the highest returns. Consequently, there is a critical need to evaluate the effectiveness of different conversion optimization methods to ensure that online marketing efforts translate into measurable sales growth. Addressing these challenges is essential for optimizing digital marketing investments and achieving sustainable revenue increases (Ogunleye, 2024).

Objectives of the Study:

To compare various conversion optimization techniques in improving online sales.

To evaluate the impact of website usability and personalization on conversion rates.

To identify best practices that drive sustainable online sales growth.

Research Questions:

How do different conversion optimization techniques affect online sales?

What role does website usability play in enhancing conversion rates?

Which personalization strategies are most effective in driving conversions?

Significance of the study:

This study is significant as it provides empirical evidence on the effectiveness of conversion optimization techniques for a retail electronics brand. The findings will guide marketers in refining digital strategies, improving online sales performance, and optimizing customer engagement efforts.

Scope and Limitations of the Study:

This study is limited to examining conversion optimization strategies and their effect on online sales for a retail electronics brand in Kaduna. It does not extend to other sectors or regions, and findings are influenced by local market conditions.

Definitions of Terms:

Conversion Optimization: Techniques aimed at increasing the percentage of visitors who complete desired actions on a website.

Online Sales: Transactions conducted over the internet.

Retail Electronics Brand: A business that sells consumer electronics through online and offline channels.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 





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