Google Keyword Cost-Per-Click Analyzer

EasyChair Preprint 11988

Abstract

This study aims at the leading utilization and achieving of online advertising campaigns using advanced keyword CPC (cost-per-click) analysis techniques. The research focuses on predictive modeling, bid optimization, and anomaly detection to improve advertisers’ decision-making process. Understanding the factors that influence CPC allows advertisers to strategically allocate budget, adjust ad copy, and refine targeting techniques. This research highlights the importance of continuous learning that allows campaigns to adapt to evolving market dynamics. Overall,the results demonstrate how a nuanced approach to CPC analysis can improve the efficiency of online advertising, leading to improved performance and resource utilization.

Keyphrases: Cost Per Click, GOOGLE ANALYZER, analyzer

@booklet{EasyChair:11988,
  author    = {Mohammad Sabir Bepari and Shivanand Ekbote and Saifali Kalkeri and Yash Purohit and Shivakumar Hiremath and Priyadarshini Patil},
  title     = {Google Keyword Cost-Per-Click Analyzer},
  howpublished = {EasyChair Preprint 11988},
  year      = {EasyChair, 2024}}