Some clicks come from genuine users; others result from mistakes, bots, crawlers or systems designed to imitate human interactions. Advertising platforms use click data to optimize campaigns. Invalid traffic (IVT) can therefore affect both budget allocation and the way bidding algorithms learn.
What is IVT traffic
IVT includes clicks, impressions and ad interactions that do not reflect genuine human interest. In Google Ads, this can include accidental or duplicate clicks, bots, crawlers and other automated activity.
The IVT is divided into two main categories:
GIVT (General Invalid Traffic): traffic is not easily recognizable, such as known bots and crawlers, traffic from data center or user agent;
SIVT (Sophisticated Invalid Traffic): sophisticated traffic that simulates human behavior using real browsers, residential proxy, emulators and spoofing techniques.
SIVT traffic is particularly insidious because it is not detected by standard filters and may seem like authentic behavior, making it difficult to identify it via Google Ads or GA4.
IVT is more than click fraud
The common concept of fraud clicks as a competitor action that repeatedly clicks on ads is just a part of the problem. Much of the fraud was born from low-quality publishers, such as sites created to monetize impressions and clicks, apps with artificial traffic and untransparent audience networks. These systems artificially inflate metrics without real engagement.
How significant is the IVT problem
Estimates vary widely according to source, channel, country and measurement method. According to Juniper Research, in 2023 22% of digital advertising spending, amounting to approximately US$84 billion, was lost to fraud, with a growth forecast of up to 170 billion by 2028. Studies such as those of TAG and IAS show a significant gap between certified and non-certified channels, with fraud rates up to 15 times higher in campaigns without anti-fraud protection.
In the case of Search campaigns, fraud click estimates often range between 5.2% and 15% of advertising traffic, but can rise a lot in the most competitive sectors, such as legal services and insurance, where it is between 15% and 25%. Signals like CTR over 8% and almost zero conversion rates, repeated clicks in unusual times or traffic from non-target geographic areas can indicate that a part of the expenditure is feeding not really useful interactions.
The IVT affects three fundamental levels:
Budget: Each invalid click removes resources from potential real users, and often credit systems do not cover all sophisticated traffic;
Reporting: metrics can become noisy and misleading, with altered CTRs, abnormal bounces, unstable conversion rate and low-quality lead;
Automatic learning: the most important damage, as the algorithm learns from false signals, generating campaigns optimized on wrong data and worsening performance over time.
When campaign settings may not be enough
Negative Keywords, Geographic Exclusions and placement exclusions help reduce unsuccessful traffic more evident, but are ineffective against sophisticated traffic that changes IP, device and behavior to look human. For this, protection must operate at traffic level, session analysis and cleaning of conversions, not only at country level.
Protect against invalid traffic: try Adefence for free
IVT traffic is not a marginal problem, nor it concerns only large advertisers. Any campaign that buys clicks, impressions or conversions can be exposed to traffic that does not represent real demand. The difference lies in understanding how much it weighs, where it comes from and how much it affects the countryside.
Adefence analyzes and mitigates invalid traffic, connecting this data to real outcomes from CRM, ecommerce and internal systems to protect the funnel and improve the quality of signals for advertising platforms.
Questions and answers
What is the IVT traffic and why not all the clicks that reach the campaigns are the same?
While some clicks come from authentic users, others are the result of errors, bots, crawlers or systems created specifically to simulate human interactions. Advertising platforms, without knowing, use all these data together to optimize campaigns, without distinguishing real clicks from invalid ones. The invalid traffic, or IVT (Invalid Traffic), can therefore negatively affect both budget distribution and automatic learning of bidding algorithms. That is why understanding the nature of the traffic received is as important as understanding how much it costs.
What is the difference between GIVT and SIVT?
The IVT traffic is divided into two main categories. The GIVT, General Invalid Traffic, is an unrecognizable traffic, such as known bots and crawlers, traffic from data center or user agent. The SIVT, Sophisticated Invalid Traffic, is much more insidious, because it simulates human behaviors using real browsers, residential proxy, emulators and spoofing techniques. This second type is particularly dangerous because it is not detected by standard filters and can look like authentic behavior, making it difficult to identify it via Google Ads or Google Analytics.
Is the fraud click on the part of the competitor the main cause of the unsuccessful traffic?
Actually, it's just part of the problem. The common concept of fraud clicks, i.e. competitors who repeatedly click on ads to exhaust the budget, only tells a part of what really happens. Much of the fraud was born instead of low-quality publishers, such as sites created specifically to monetize impressions and clicks, apps with artificial traffic and untransparent advertising networks. These systems artificially inflate metrics without creating any real interest in the product or advertised service.
How much does the traffic problem really weigh on advertising spending?
The estimates vary widely according to source, channel, country and measurement method, but the numbers are still significant. According to Juniper Research, in 2023 22% of digital advertising spending, amounting to approximately $84 billion, was lost to fraud, with a forecast of growth up to 170 billion by 2028. In Search campaigns, fraud click estimates often range between 5.2% and 15% of traffic, but in the most competitive sectors, such as legal services and insurance, they can rise up to 15-25%. Signals like a CTR more than 8% along with an almost zero conversion rate, or repeated clicks in unusual times or out target geographical areas, are alarm bells to keep an eye on.
How does IVT traffic affect campaigns in addition to simple budget waste?
The IVT affects three fundamental levels. The first is the budget: every non-restricted click removes resources from potential real users, and often credit systems do not cover all the more sophisticated traffic. The second is reporting: metrics become noisy and misleading, with altered CTRs, abnormal bounces and low-quality lead. The third, the most important, is machine learning: the algorithm learns from false signals, generating campaigns optimized on wrong data that worsen over time.
Negative keywords and geographical exclusions are enough to protect themselves from the invalid traffic?
These tools reduce obvious invalid traffic, but they are not enough on their own. More sophisticated traffic may change IP address, device and behavior to appear human. Protection therefore needs several layers: traffic and session analysis, plus conversion quality checks, rather than only campaign settings. Adefence connects traffic data with real outcomes from CRM, ecommerce and internal systems to protect the funnel and improve signals sent to advertising platforms.
How do I know if I'm getting bad traffic on my campaigns?
Some signals are easy to notice even without specialized tools. A very high CTR but with very few conversions is a first alarm bell, as well as sudden peaks of clicks concentrated in a few hours. Even the traffic that always comes from the same night hours, or from geographical areas completely out of your target, should be checked carefully. None of these signals alone prove that there is no traffic, but together draw a clear picture. Looking at Google Ads reports with a critical eye, and not only at total numbers, is the first step to notice it.
Does invalid traffic affect only Google Ads, or other platforms too?
Invalid traffic affects any channel that charges for clicks or impressions, including Google Ads, Meta Ads, Microsoft Ads and display networks. Platforms differ in how they detect and handle it. This page focuses on Google Ads, where the issue has been studied extensively, but spending on interactions without real value is a concern across paid advertising.
Can I block the traffic without an external service alone?
You can do some things independently, such as excluding suspicious IPs, setting frequency limits and periodically update geographic exclusions, but it is a manual work that must be repeated continuously, because the invalid traffic changes shape over time. The simplest traffic can be blocked so, but the more sophisticated one easily escapes manual controls because it imitates human behavior. A dedicated automatic system continuously monitors traffic and updates the block rules alone, saving you the daily monitoring.
How long does it take to see results after triggering protection?
It depends on the starting point, but typically the first effects are already noticed in the first 1-2 weeks, when the most obvious traffic is filtered and reports begin to show cleaner numbers. The most important benefits, however, come a little further: it takes a few weeks because the Smart Bidding algorithm absorbs new signals and recalibrates its decisions. It is a gradual process, not a switch that turns on and solves everything immediately, but improvements are consolidated over time as the data accumulates.