#bot traffic

ot traffic is taking up more than half of the internet traffic. Out of which, 37% of the traffic is driven by bad bots.

And this bot traffic is beyond just inflated activity.

Sophisticated ad fraud techniques penetrate the funnel, impacting not just analytics but end goals like sign-up, purchase, etc.

They can bypass basic ad fraud detection methods easily, mimicking human-like behaviour. It skews the data, further impacting decision-making, conversion rates, and retention across mobile and web campaigns.

That is why it is important for advertisers to know about not just surface-level signs of ad fraud but also the sophisticated indicators.

But here's what the numbers aren't telling you.

Up to 30% of that traffic is malicious bots. Crawlers. Scrapers. Vulnerability testers.

They eat your server resources. They skew your data. And they never—not once—become a customer.

You're paying for every single "visit." Including the fake ones.

OnliveInfotech filters out the bad. You pay for real customers.

Clean traffic. True analytics. Genuine engagement. That's real growth.

Bots now account for up to 63% of global internet traffic, fundamentally reshaping how marketing performance, analytics accuracy and content visibility must be understood. This shift reflects rapid growth in AI-driven systems that crawl, fetch and act across the web at scale. Traditional assumptions about human audiences, conversion funnels and engagement metrics no longer hold in isolation.…

In today’s digital marketing landscape, bots impacting your campaigns, website analytics, and overall performance is becoming an enormous issue with all the organizations running any kind of advertising campaign. To put a stop on the ad fraud that is caused by bots, having bot detection tools is vital.  After all, how can you put a stop to bots if you can’t detect.  

Unfortunately, many firms struggle to detect bot traffic, and the methods they employ are not all created equal. Choosing the right bot detection tool is essential for safeguarding your marketing efforts. Here’s a comprehensive guide to help you select the best tool for your needs.

What Is Invalid Traffic and How Does It Relate to Bots? 

Bot fraud in digital advertising generally falls in the category of invalid traffic by the marketers no matter good or bad since the bots are not the target audience and cannot be converted into a protentional lead.  

Types of Invalid Traffic:   

General Invalid Traffic (GIVT) :

It is one of the simplest bots that can be detected easily, and a lot of good bots traffic comes under GIVT as they are not meant to fool the bot detection tool. But some fraudsters may also deploy GIVT as they are easy to make and work against some of their targets.  

Sophisticated Invalid Traffic (SIVT) :

 SIVT detection is the bots that one should look out for as these are more capable and are often designed to target to bypass cybersecurity and ad fraud prevention tool. For Example – sophisticated bots might imitate how a human would use a website so it would be difficult to identify between a human and bot. SIVT is common in ad fraud schemes.

How Bots Impact Your Marketing Campaigns 

Bots can have a negative impact on your digital marketing campaigns in several ways: 

Wasted ad spend

Bots can boost your impressions and clicks, resulting in ad spend burn. For example, if you bid on a brand term that costs $1 per click and a click bots on your ad 1000 times, you would have wasted $1000. 

Inaccurate reporting

These bots can alter your reporting data, making it nearly impossible to track the actual performance of your campaigns. For Example, if a bot is boosting your impressions by 50%, your CTR will appear to be much higher than it is.  

Damage to your brand

So, if your brands are revealed to internet bots, it might damage your brand reputation. For example, if a bot clicks on your ad for a product the customer is not interested in, the user will consider your ad spam. 

the full insights, search for

Ad fraud is an evolving threat and no longer linear. It is becoming more advanced everyday with AI and automation also contributing towards speed and scale. What once looked like normal bot activity has now become far more sophisticated, subtle, and harder to distinguish from genuine user behavior. 

This sophistication of ad fraud raises a lot of questions in the minds of advertisers, marketers, publishers, brand owners, or anyone involved in the digital advertising ecosystem for that matter. 

Hence, the purpose of this blog. To ensure you get answers to the most asked questions about ad fraud in one place. We will talk about everything from what is ad fraud to knowing how to respond to it with clarity and confidence. 

One of the common pain points our clients have expressed is that their number of installs doesn’t match the number of conversions. They see a high volume of installs happening, but this doesn’t convert into outcomes.  

There is not just one reason behind an unusual spike in installs. It can be bots, or something more advanced which a human eye might miss easily. In one of a recent campaign data we evaluated, we observed that a new and unusual technique is used to hide invalid traffic driving fake app installs from Android mobile versions.  

In the sections ahead, we’ll break down how fraudsters are hiding their trails by spoofing device related information – like mobile app versions and why it matters more than you think.  

In today’s digital marketing landscape, bots impacting your campaigns, website analytics, and overall performance is becoming an enormous issue with all the organizations running any kind of advertising campaign. To put a stop on the ad fraud that is caused by bots, having bot detection tools is vital.  After all, how can you put a stop to bots if you can’t detect.  

Unfortunately, many firms struggle to detect bot traffic, and the methods they employ are not all created equal. Choosing the right bot detection tool is essential for safeguarding your marketing efforts. Here’s a comprehensive guide to help you select the best tool for your needs.

For app marketers, with fraud checks now bundled into most attribution platforms, it’s easy to assume traffic quality is covered. But these validations are mainly built to ensure installs are attributed correctly, not to deeply assess how users behave after they enter the app. And that’s where things start to drift. 

The challenge for marketers isn’t spotting obvious fraud anymore; it’s making sense of why validated traffic still underperforms. Cohorts don’t retain as expected. Conversions don’t scale the way spend does. Business impact feels weaker than what the top-line numbers suggest.