Increased online traffic exposes your goods and services to more people. more website or app traffic leads to more bot traffic. To minimize customer experience friction and ensure accurate marketing insights, use bot traffic detection tools to identify and block bot traffic activity, such as loyalty point fraud.
How To Spot Bot Traffic?
Bot detection is difficult for developers and engineers. Bot traffic might be difficult to identify, however analytics data, bot detection software, or browser console logs can aid in identifying bots. Integrated technologies like Google Analytics enable engineers and data scientists to develop bot detection methods and signs.
- Unusual high page views may indicate artificial traffic, and dashboards may detect bots by graphing aggregate page views over time.
- Your users’ origins are examined via unfamiliar referral traffic. If most of your site’s visitors originate from one or two sources, bot detection may be needed.
- Bounce rates might indicate the necessity for bot identification since they indicate a rush to get information. Low bounce rates may mean the bot discovered what it was seeking for, while high bounce rates may indicate a bot is using you for SEO.
- Large numbers of users not interacting with buttons or just utilizing one element and ignoring others may indicate bots, requiring bot identification.
- Bots may be able to impersonate users worldwide. Increased traffic from countries where your organization does not operate may indicate bot detection since they may not grasp cultural or linguistic differences.
- Bots are designed to travel in a specific way on a site, and if they don’t accomplish their objective in a given length of time (which varies based on the website’s goals and internal JavaScript), they stop.
- A high average session length may suggest that the bot is staying on your site and needs to be detected for harmful activities.
- Bots feed on little amounts of information, so even if you block a request in Google Analytics, it may return with a different user agent or IP address. Bots that frequently refresh material will show up in your browser console logs, so check them there.
- Bots that are very engaged on your website and then depart after clicking are likely harmful bots, therefore you may need to identify and ban them. For instance, if a user fills out a form but doesn’t click next or finish, they’re likely undecided actual people, so bot detection may not be needed.
- A lack of consistency between user time on pages may suggest automated traffic. This technique is more effective for browser-based bot identification than server-side solutions for server log analysis, where timing abnormalities are typically caused by network troubles. However, it is still crucial to recognize and prohibit bots.
- No more than one IP address should visit your website daily. If this figure is more than 100x, it may indicate an automated visit and bot identification, particularly if these IPs belong to an entity that hasn’t visited consistently.
What stops bot traffic?
Utilizing Google Analytics or comparable technologies to monitor and study traffic, you may also adopt these preventative tactics.
- Start by giving bots crawling instructions for your website’s resources.(Google’s robots.txt)
- Honeypots attract unwanted or harmful bots, enabling websites to discover and block their IP addresses.
- Anti-bot systems are the most reliable approach to identify and block bots from visiting your website.