An examination of antecedents of conversion rates of e-commerce retailers

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TL;DR

This study empirically examines the relationships between purchase intention, website satisfaction, and conversion rates across 85 US e-commerce websites, finding significant positive effects among these variables and confirming that website satisfaction influences both purchase intention and conversion rates, highlighting their importance for e-tailer success.

Abstract
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Purpose – This study aims to theorize and empirically examine the relationship between “purchase intention and conversion rate”, “website satisfaction and conversion rate” and “purchase intention and conversion rate”. E-Commerce conversion rate represents the percentage of visits to an e-tailer’s website that includes a purchase transaction. Despite the importance of conversion rates for e-tailers, prior research predominantly used purchase intention and website satisfaction as main dependent variables and implicitly assumed that these variables will influence the actual purchase. Design/methodology/approach – Data on 85 US retail websites were used to test the hypotheses. The unit of the analysis is the online retail website. Regression analysis was used to perform the data analysis. Findings – The results indicate that both purchase intention and website satisfaction positively influence conversion rates. It was also found that website satisfaction positively influences purchase intention. Research limitations/implications – Only data from 85 US e-tailers from the top-100 US online retailers are used to test the hypotheses. Also, conversion rate is only one of the several important success metrics used by e-tailers. Originality/value – This study not only examines antecedents of e-commerce conversion rates, but also theorizes and tests if there is a statistically significant relationship between “purchase intention and conversion rate” and “website satisfaction and conversion rate”. This is because, although previous studies used purchase intention and website satisfaction as main dependent variables and proxies for actual purchase behavior, they did not validate this relationship. This study shows that: there is a statistically significant relationship between “purchase intention and conversion rate” and “website satisfaction and conversion rate”, there is also a statistically significant relationship between “website satisfaction and purchase intention” and this study used firm-level data to theorize, measure and analyze the data, whereas prior literature used only individual-level data.

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Background: Iron deficiency can lead to anemia, negatively impacting children's cognitive and physical development. Mothers' knowledge of iron and the benefits of fortified complementary foods may have influenced their purchase intentions and decisions. Objective: This study aimed to investigate the association between mothers' purchase intentions, actual purchases of iron-fortified infant cereals, and iron intake in children aged 6–23 months in Tangerang, Indonesia. Research on this topic remained limited, emphasizing the need for further studies to strengthen the existing evidence. Methods: This study employed a cross-sectional design involving 162 mothers in pairs with their children aged 6–23 months, recruited consecutively. Data were collected using validated questionnaires. Data analysis was performed using the non-parametric Mann-Whitney test to compare groups and Spearman's correlation test to assess the strength of relationships between variables. A p-value < 0.05 was considered statistically significant. Results: Mothers showed positive attitudes and intentions towards purchasing iron-fortified cereals, with a notable 51.9% having made recent purchases. While these purchase intentions correlate with actual purchases, they did not directly influence children's iron intake. Instead, factors such as mother’s education, occupation, and household income played significant roles in determining iron intake levels. Conclusion: Purchase intentions were associated with actual purchase intention; however, factors such as gender, mother’s education, occupation, and household income did not exhibit a direct relationship with children's iron intake. This study indicates that while mother’s purchase intentions are associated with actual purchases, they do not directly impact children's iron intake.

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