We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Data Science & Analytics/A Study on Factors Influencing to Purchase in Affiliate Marketing
PeriodicalsData Science & Analytics

A Study on Factors Influencing to Purchase in Affiliate Marketing

Checking your access to this record.

Abstract & Overview

All consumers' income depends on their ability to purchase products through affiliate marketing. An analysis of the variables influencing consumers' purchase decisions in affiliate marketing, including size, quality, and environment, is presented in "A Study on Factors Influencing to Purchase in Affiliate Marketing." 150 consumer responses were collected, with a particular focus on Coimbatore city. The data was analyzed to explain the study's findings comprehensively. The data collected from the consumers was analyzed using SPSS software. This data collection determines the consumer's influencing factor based on the affiliate products and services. According to the study, consumers can find new products and services through affiliate marketing, a helpful strategy. In this research, statistical tools such as descriptive analysis and simple percentage analysis were used. By understanding consumer views, habits, and preferences within the affiliate marketing industry, this study seeks to provide marketers with valuable insights that will help them optimize their affiliate marketing strategies and increase consumer engagement and profitability.

Cite this record

Janani .S, Pragadheeswari N, Keerthana R. (2024). A Study on Factors Influencing to Purchase in Affiliate Marketing. Recent Trends in Data Mining and Business Forecasting. https://library.shubhaarti.in/content/acecf1d0-f22f-49b8-ad2b-3af90402e04f

Copy in another style

.S, J., N, P., & R., K. (2024). A Study on Factors Influencing to Purchase in Affiliate Marketing. Recent Trends in Data Mining and Business Forecasting. https://library.shubhaarti.in/content/acecf1d0-f22f-49b8-ad2b-3af90402e04f
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.