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3 Important Data Sets for Analyzing Real-Time Web Traffic

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Website traffic graphWeb analytics has refined tremendously in all these years and now you can track from a simple visit to a complex multi-visit conversion cycle with precision. Real-time analytics is one of the important modules present in almost every robust tracking software. Websites with medium to high traffic often use this feature to monitor and analyze the events happening on the web server in real-time. While using real-time reports, a webmaster may get overwhelmed by the sheer volume of data puked by the tracking software. This often results in poor, incomplete or irrelevant traffic analysis. This problem is more evident on websites receiving a decent volume of traffic. Let's see how we can make most out of our real-time analytics data and how we can filter out unnecessary junk to focus only on the meaty part that may help us understand how our website behaves under peak traffic conditions.

Google analytics real-time traffic statistics

HTTP Requests per Second

Several web hosting environments apply a limit on the number of raw HTTP requests external sources can make at a given time. This also includes maximum HTTP requests that can be made in an hour. If your web analytics software provides you with HTTP request data in real-time, you must monitor this metric very carefully.

The big question is - Why do I need to bother about monitoring this data set? Well, if the restrictions mentioned above are applied on your web server, you must monitor and must calculate the average of maximum HTTP requests during peak hours to get a fair idea about the volume of raw HTTP requests you're consuming per hour.

It will help you prepare in advance because you can easily predict when you're going to reach the threshold. This way, you can migrate to a more powerful web server in time to avoid any kind of downtime which may cost you money and business.

Page Views per Minute

This is one of the common metrics that's monitored by every webmaster using real-time reports. The dataset simply shows the number of page views your website in receiving per minute at a given time. One cannot undermine the importance of this metric as it helps you calculate yet another important restriction often imposed on shared and virtual web hosting environments.

Hosting companies always put a cap on the number of concurrent connections your account can handle at a time. In simple words, it can be broadly defined as the number of web pages that can be opened simultaneously by different visitors at a given time.

Following this data set helps you determine when you may cross the threshold of maximum concurrent connections allowed on your web server. This metric also shows the peak hours on your website. If your website content has gone viral on a social media channel, this metric can help you keep track of the entire traffic rush in a better and easy way.

Geolocation Hotspots

Illustrative representation of data is always appreciated by the users. Real-time reports often contain a section with a live map having tags or bubbles representing a visitor and his location. This is one of the best ways to know the location of traffic rush at a glance.

If your analytics system includes interactive geolocation maps, nothing can be better than that. These maps are very handy when you're receiving a massive amount of visitors from a social media channel. You must ensure that your web browser is capable of rendering such type of interactive maps so that you can take advantage of this handy feature.

If your web analytics software does not support interactive geolocation maps within real-time statistics report, I'll strongly suggest you switch to the version which includes such kind of maps.


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