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Evaluating Key Site Performance Metrics Using Google Pagespeed Insights

EasyChair Preprint 15175

5 pagesDate: September 30, 2024

Abstract

The article focuses on evaluating the important performance indicators of a desktop website using Google's Pagespeed Insights tool. It analysis important aspects such as page load speed, content optimization, recommendations for improving performance and impact on user experience. The study is based on the example of site diagnostics https://pm.lntu.edu.ua/ and includes an overview of the influence of loading speed on SEO indicators and positions in search engines. The findings demonstrate the value of using Pagespeed Insights to achieve optimal website performance across desktop platforms and maintain a high-quality user experience.

Keyphrases: Google Pagespeed Insights, URL, analysis, diagnostics, evaluation, metrics, site performance

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15175,
  author    = {Nataliia Huliieva and Nataliia Lishchyna and Viktoriya Pasternak and Zemfira Huliieva},
  title     = {Evaluating Key Site Performance Metrics Using Google Pagespeed Insights},
  howpublished = {EasyChair Preprint 15175},
  year      = {EasyChair, 2024}}
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