Social media is constantly booming and at a rapid pace. People are spending a lot of time on social media. Social media is an important channel for business people because it is integrated into marketing and marketing communication through advertising services. Advertising is an integral part of social media websites. It is a good source of income for social media websites. Companies use social media to promote their products and services through social media ads. Although it annoys the users, business people use it to persuade consumers to buy the products. Empirical studies are widely used to assess social network ads and purchase intention. There is a lack of studies examining social media ads and purchase intentions using a machine learning perspective. The present study closes the gap by examining the aspects using algorithms. The aim of the study is to predict how advertising on social networks influences consumers when purchasing products. The analysis is carried out using an open data source from Kaggle. Exploratory data analysis provides insights into the variation of demographic factors such as age, gender and salary in purchasing intent through social media advertising. The outcome will give insights about how important the demographic factors are to present social network ads to influence the purchase intention of consumers.