Online Ad-Sales Analysis and Understanding Customer Behavior Towards Online Ads

Abstract

Abstract In the 21st century, the world is completely dependent on technology. Technology is used in every domain. One such domain is the marketing and sales domain. After the Covid pandemic, the reliance on internet for convenience has increased substantially. This is where E-commerce companies and their online advertisements come into picture. The U.S. online advertising had increased from $8.1 billion in 2000 to $21.2 billion in 2007 and from 3.2 percent of all advertising to 8.8 percent over that time period. Considering how important online ads have become for revenue increment in different companies, it has become a domain that requires analysis. This study aims to analyse the online ad sales revenue generated by Meta and Google using the Analysis of Variance (ANOVA) method. It will also analyse how different groups of customers respond to online ads and draw a significant inference based on this.