Title: Web Analytics for Conversion Rate Optimization: Analyzing User Behavior to Improve Website Performance


Authors:

Mahender Kumar Beniwal

mbeniwal@gmail.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Sunil Dhankhar

sunil@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Anjana Sangwan

anjana@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA)

Pages: 28-34

DOI:

Abstract:

Abstract-In the fast-paced terrain of the digital world, websites serve as the digital front doors of companies, which is why it is essential to optimise the performance of these websites. This abstract examines the usefulness of online analytics in improving conversion rates as well as the efficacy of websites as a whole. This abstract dives into those aspects. It emphasises the necessity of measuring key performance indicators (KPIs), such as bounce rates, click-through rates, and session length, and explains how these metrics give a holistic perspective of the efficacy of a website. The abstract places a strong emphasis on the function that user segmentation and demographic data play in the process of customising content and design to suit to the tastes of a variety of audiences. The summary emphasises the significance of A/B testing and multivariate testing as essential tools for clinical research organisations (CRO). These experiments provide website proprietors with the ability to systematically evaluate the effect of modifications made to sections of their websites, which assists in determining which variations provide the greatest results. Additionally, ethical questions are discussed, with an emphasis placed on the significance of protecting one's privacy and data in this day and age of expanding data regulation.

 

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