Identifying Fraudulent Traffic

Imagine you launch a meticulously crafted ad campaign, expecting to see a surge in engagement and conversions. Instead, you uncover a significant portion of your traffic is fraudulent—clicks and impressions generated by bots that falsely inflate campaign metrics. Identifying fraudulent traffic is one of the biggest challenges in digital advertising, and it can distort key performance indicators (KPIs) and lead to unintentional wasted spending on advertising campaigns.

Identifying Fraudulent Traffic: Key Tools and Techniques for Website Protection

Fake traffic can appear in many forms, and it is not limited to click fraud. Traffic can also be generated by malware-infected devices, bad bots that mimic human behavior to spread malware or commit ad fraud, and by automated scripts used for various purposes, including site crawling, search engine optimization, and form filling. Invalid traffic can also be a result of data corruption, or simply accidental.

While it’s important to understand the different types of fraud, the first step in identifying invalid traffic is to look at your own analytics reports and pay attention to some common red flags. Traffic originating from strange or suspicious sources, short visits and session durations, and inconsistent browsing patterns are all indications that something is amiss.

In addition, you should always be wary of traffic that is sourced from unknown referral channels. Some fraudsters create websites with gibberish domain names or multiple numbers in them to obscure their true source. It’s also a good idea to monitor your Google Analytics page and referral filters for traffic that is not consistent with your business model or the type of visitors you are targeting.