#clickfraud

Digital advertising demands proactive measures to ensure every click is measured and validated.  Approved Click Trackers are now mandatory if anyone wants to track p-max or demand gen campaigns.

However, click tracking needs to be backed up with comprehensive monitoring to ensure genuine engagements that reflect the impact of an ad campaign. This is the gap fraudsters exploit manipulating clicks to divert ad budgets without driving real results.

Ad fraud is not just a basic bot traffic problem anymore. It’s an issue contaminating the entire marketing funnel silently. Here’s what the data says, and what leaders must do next. 

Imagine spending ₹100 on a digital campaign and losing ₹20–30 before a single real customer ever sees your ad. Not due to a bad creative. Not a flawed targeting strategy. But because the digital advertising ecosystem, the programmatic advertising pipelines, the affiliate networks, and the ad placements, are structurally misplaced

Bots are becoming sophisticated and more human-like every passing day. And with the emergence of AI, it is becoming a dominant force for shaping online traffic.  

According to Imperva BadBot Report 2025, 51% of the internet traffic is driven by bots, which is further amplifying with the introduction of AI and LLM. Unlike the basic bot traffic showing abnormal signs like high number of clicks/installs etc., the sophisticated bots can mimic human behaviour, therefore bypassing the validation checks.   

Mobile app advertising is all about data coming from CPI campaigns – ROAS and LTV being the go-to metrics to measure campaign performance and success. But are you sure the metrics you are relying on are giving you the right results? 

The numbers on your dashboard are not always true.  

As advertisers pour more budget into mobile performance campaigns, many overlook critical vulnerabilities – mobile ad fraud. It’s not just a line-item loss, it’s a performance killer that inflates Return on Ad Spend (ROAS) and erodes Customer Lifetime Value (LTV). 

Fraudsters exploit the systems marketers depend on – attribution models and campaign metrics – using sophisticated tactics like click fraud, fake installs, click injection, SDK spoofing, etc.  

You know you need an answer when your campaigns don’t perform as you expect them to. Or maybe they do perform, but just on dashboards? 

Click fraud is no longer limited to just basic bot traffic. In 2026, it has evolved into more sophisticated threats that many traditional detection tools are not equipped to identify. 

Fraudsters now deploy AI-powered bots that simulate real user behaviour to evade behavioural detection. They operate across performance marketing ecosystems, including Google Search, display, GDN, Pmax, Meta, affiliate networks, app install campaigns, lead generation, and re-engagement campaigns. 

Meta’s advertising ecosystem (Facebook, Instagram, Messenger, and the Facebook Audience Network) is where billions of marketing dollars flow every single year. The platform offers unmatched reach, precise targeting, and a direct line to almost every consumer demographic.

But here’s a number that should make every CMO pause. Meta reportedly projected 10% of 2024 sales came from scam and fraud ads. 

Welcome to the world of Pay Per Lead! A more trustworthy and monetized model. 

When impressions were being faked, clicks were being hijacked, and brands were receiving barely any conversions. Hence marketers, especially in tier-1 markets like the United States, decided to do what any rational person would do. They stopped paying for clicks and started paying for outcomes. Fill a form, generate a lead, get paid. Simple, accountable, fraud-proof. 

The moment payment moved to the lead event; some affiliates simply moved their operation there too. Suddenly, forms were being filled by scripts, credentials were being recycled, and conversion metrics were spiking in ways that looked extraordinary on a dashboard and meant absolutely nothing in a sales pipeline.