Niket Mehta – författare

In today's digital age, data is ubiquitous and holds tremendous value for businesses looking to better understand their customers and make smarter decisions. Companies that effectively collect, analyze, and act on data insights can gain a significant competitive edge. This is especially true in marketing, where data-driven strategies are becoming crucial for success. In this book, the chapters explore how data can transform marketing by enabling more precise targeting, better optimization of campaigns, and deeper understanding of what drives customer engagement. With the massive amounts of customer data available today - from web analytics to social media to mobile apps - marketers can develop highly customized segments and messages.Examined are techniques and tools for collecting and making sense of all this data, including methods like A/B testing, regression analysis, and machine learning algorithms. Using real-world examples and case studies, the reader will learn how leading companies use data-driven insights to optimize digital marketing campaigns, website experience, and content strategy.The Advances in Digital Technology and Data-Driven Business Practices series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.

In today's digital age, data is ubiquitous and holds tremendous value for businesses looking to better understand their customers and make smarter decisions. Companies that effectively collect, analyze, and act on data insights can gain a significant competitive edge. This is especially true in marketing, where data-driven strategies are becoming crucial for success. In this book, the chapters explore how data can transform marketing by enabling more precise targeting, better optimization of campaigns, and deeper understanding of what drives customer engagement. With the massive amounts of customer data available today - from web analytics to social media to mobile apps - marketers can develop highly customized segments and messages.Examined are techniques and tools for collecting and making sense of all this data, including methods like A/B testing, regression analysis, and machine learning algorithms. Using real-world examples and case studies, the reader will learn how leading companies use data-driven insights to optimize digital marketing campaigns, website experience, and content strategy.The Advances in Digital Technology and Data-Driven Business Practices series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.