#adfraudsolution

Many advertisers still believe ‘if an ad is viewable, it means the user actually saw it.’  But that’s not the case anymore. Impressions and viewability still dominate reporting, but they don’t reflect whether audiences actually watched or engaged with an ad. That is why the digital marketing industry and advertisers have now started shifted their focus towards a more reliable metric – attention measurement. 

DCB fraud risks have grown over the years. It has not evolved into a structural challenge reshaping how telecom operators monetize mobile subscribers across Africa and beyond. This direct carrier billing fraud playbook by mFilterIt is built from the field: real deployments, live transaction data, and direct observation of how mobile billing fraud has evolved across three distinct generations, from device-level automation to behavioral mimicry that defeats every rule-based system built against it.

Every second, somewhere on the internet, a brand is being impersonated. A customer is being deceived. And a business is losing more than just money; it’s losing trust. 

Imagine a fraudster impersonating your brand by using your logo, your colors, and your tone, keeping hawk’s eye on your customers. They camouflage themselves in your brand and your customers see the difference only when it is too late. 

The modern fraud ecosystem is growing more sophisticated. Fraudsters are sitting at every touchpoint including the ad your customers clicked on, the website they landed on, and the checkout they trusted. 

Performance Programmatic Platforms follow the same rules as traditional programmatic platforms, but the focus on performance campaigns is to optimize ad placements through real-time bidding and enable data-driven decision-making.

These platforms buy and place ads for advertisers with targeting functionalities, dynamic creative optimization, and performance analysis. As they market themselves, the entire process is ML and algorithm-driven. However, there is a prevailing myth that these platforms are fraud-free. Even MMPs are failing to do anything to curb these frauds because they have no protection at the impression level and minimum protection at clicks.

While online fraud perhaps started with email spamming, it has come a long way. Today, ad fraud takes many forms, and it costs digital advertisers several billion dollars. According to Statista Reports, within the 5 years between 2023 & 2028, the costs due to digital advertising fraud will increase from $88 billion to $172 billion. The lure of making quick money has motivated modern fraudsters to employ sophisticated techniques to commit fraud.

Ad fraud techniques such as domain spoofing, cookie stuffing, ad stacking, ad injection, geo masking, and many others are just a few of the many techniques employed by modern fraudsters. Ad fraud is a serious problem that drains budgets and can cause long-term damage by skewing campaign performance data.

AI is no longer just accelerating digital advertising; it’s powering a new generation of bot-driven fraud. 

As AI adoption surges, growing from USD 8.6 billion market in 2023 to a projected USD 81.6 billion by 2033, it has unlocked unprecedented speed and scale. But this same power is now being exploited to generate massive volumes of intelligent bot traffic that looks, behaves, and performs like real users. 

Are you proactively analyzing the ad traffic of your campaigns?  

Is it really coming from genuine users or just being generated by bots? 

Yes, a significant portion of traffic that makes your ad campaigns seem successful could be invalid traffic. According to mFilterIt’s analysis featured in FICCI Report 2025, invalid traffic contributes to as much as 30–50% of activity across digital channels, directly distorting performance metrics and draining ad budgets. 

Ad fraud has become one of the biggest reasons impacting your campaigns and marketing budgets across walled gardens, open networks, affiliate platforms, apps, and programmatic ecosystems.

The first half of 2025 recorded an average global ad fraud rate of 39.7%, and fraud peaked at 49% in June, the highest in five years. With AI-driven bots, fake users, and manipulated attribution becoming more advanced, the financial impact is far deeper than most marketers realize.