Published Paper Details:

Affiliate marketing is defined as a performance-based marketing strategy where advertisers offer payment in exchange for quantifiable results. In the realm of affiliate marketing, publishers, marketers, affiliate networks, and customers are the main participants. Publishers use commercials to actively engage people in the process, advertisers grant publishers permission to use their content, customers click on ads to complete purchases, and affiliate networks monitor and facilitate transactions involving payment. This study looks into several types of Internet advertising compensation models, such as pay-per-lead, pay-per-sale, and pay-per-click. During the data analysis stage, the research employed quantitative and qualitative techniques to gain a thorough understanding of affiliate marketing. Moreover, various statistical techniques were applied to examine the dataset thoroughly. The results were displayed in a tabular style and included significant variables including pricing impacts and trustworthiness. The study looked at how affiliate marketing affected the behavior of online shoppers, with a focus on differentiating between affiliate programs. Success in the field of affiliate marketing depends on the tactical coordination of various models with organizational goals and the seamless integration of these models. Conducting a comprehensive analysis of consumers, commodities, and networks is vital to enable efficient planning.