Struggling to choose between AWStats and Plerdy? Both products offer unique advantages, making it a tough decision.
AWStats is a Network & Admin solution with tags like log-analysis, web-traffic, statistics.
It boasts features such as Analyzes web, FTP, mail and streaming media server log files, Provides statistics on visits, pages, hits, hour by hour usage, domains/countries of hosts, search engines, keywords, robots, broken links, file types, browsers etc, Supports log files from all major web servers like Apache, IIS, etc, Generates HTML reports for easy viewing of statistics, Supports geolocation of visitors based on IP address, Customizable with plugins and language translations and pros including Free and open source, Works on all major operating systems, Very customizable and extensible, Large user community and developer support, Provides very detailed analytics and reporting.
On the other hand, Plerdy is a Ai Tools & Services product tagged with analytics, user-experience, page-views, bounce-rate, conversion-rate, page-load-speed.
Its standout features include Heatmaps to see user clicks and scrolls, Form analytics to see form abandonment, Page analytics for page views, bounce rate, etc, A/B testing, Session recordings, and it shines with pros like Easy to install and use, Good value for the price, Lots of useful analytics features, Good customer support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
AWStats is a free, open source log file analyzer for web analytics. It produces statistics about website traffic and visitors from web, FTP, mail server or streaming media server log files.
Plerdy is a user experience analytics tool that helps website owners understand how visitors interact with their site. It tracks metrics like page views, bounce rate, conversion rate, and page load speed.