How to Detect Bots on Your Website

Detecting bots on your website can be a daunting task. Bots are often designed to steal or phish content and data. They also attempt to hijack user accounts and steal identity information. They are a growing threat to both your brand and your customers. The number of bots on the internet has increased dramatically over the past few years. To stay on top of the game, you need to implement a strategy to detect and block bots.

First and foremost, you need to understand why a bot would want to visit your site. If you are hosting a coupon site, you might see thousands of dollars in coupon feeds each month. This could mean a bot is trying to scrape your site for data without paying for it. You also need to be aware of VPNs, proxies, and other tactics that raise suspicions. If a bot is spoofing your site, you may also notice that your conversion rate is lower.

Another important metric is the number of page views. This is especially important for digital campaigns. Bad bots will waste your resources and impact the effectiveness of your digital marketing. The most effective bot detection solution will monitor changes in metrics over time. You may even be able to identify bot traffic with a simple Google Analytics stats report.

You should also look at your access log. ThisĀ detect bots is where you’ll find a lot of information about the device used to get to your site. Using a fingerprinting technology, you can determine if a visitor is a human or a bot. You should also consider your network’s performance. There’s a chance that your bots are being slowed down by network issues. A sudden increase in visitors from a certain region can be a sign of a bot on your site.

The same can be said for the average session duration. While this isn’t the most accurate measure, it can still be a good indicator of how long someone is on your site. It’s not always easy to identify a bot, but you should at least have a high confidence level in its presence.

It’s also possible to detect bots by analyzing a user’s IP address. These bots often change IP addresses to avoid detection. However, a single IP address can indicate automated traffic, especially if it hits your website more than once per day. Alternatively, you can use machine learning to spot the spikiest of patterns.

For example, a high average session length indicates a bot is spending time on your site. This is particularly relevant if you have a lot of users from a particular location. The best bot detection solution will be able to identify if the traffic is actually coming from a human or from a bot. You can do this by comparing your JavaScript data to your server-side data.

The secret to a good bot detection program is to combine multiple factors. For instance, you might find that your IP address changes frequently, so you’ll need to monitor that over a period of time. You can also use a user agent identification system. This compares your visitor’s browser information to a list of known good browsers.