mFilterIt

  Eliminate invalid traffic from your app campaigns running on biddable and non-biddable platforms for both performance and brand campaigns  

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What Real Campaign Data Analysis by mFilterIt Reveals About Viewability and Attention Metrics

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. 

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DCB Integrity: Safeguarding Every Digital Interaction

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.

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$14.8B at Stake: Will You Let Cookie Hijacking Slip Through?

The U.S. affiliate marketing industry is entering a new phase of scale.

It is crossing the $10 billion mark for the first time, up from $9.1 billion in 2023, and projected to reach $14.8 billion by 2028. With giants like Amazon, Walmart, and Target running large, complex affiliate programs, the stakes have never been higher.

But as the channel grows, so does the race to claim commissions (sometimes wrongfully) which can also look like this-imagine a shopper comes directly to your website, ready to buy but yet somehow, a third-party partner ends up taking creadit for that sale.

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How to Stop Brand Bidding by Affiliates? Can Standard Marketing Tools Track This?

Many marketers find themselves stuck in this exhausting loop: ban one affiliate for bidding on your brand terms… only to see them resurface under a new account the next day. Despite hours spent checking different SERPs, tracing URLs, or monitoring CPC fluctuations, a significant portion of this activity still goes undetected. 

Frustrating, right?  

What makes it worse is the assumption that traditional SEO or analytics tools can catch brand bidding violations. 

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Types of Online Scams Brands Need to Watch Out For

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. 

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Programmatic Ad fraud: The bane of the Branding Campaigns

The global programmatic advertising market size is expected to grow at a CAGR of 22.8% from 2024 to 2030. Programmatic advertising encompasses a wide range of digital channels, from walled gardens like Google and Facebook to connected television (CTV) and OTT. This variety of channels’ capacity increased the reach of advertisements to even broader groups of audiences.   

However, this wider scope of innovation has also opened the door to significant fraud, with programmatic ad fraud becoming a growing concern for marketers worldwide. With the programmatically run advertisements at $546billion in 2023 according to a Statista report, the volume of ad fraud and low-quality impressions stand at 15-20% according to mFilterIt reports.  

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What Are Attention Metrics? Why Brands Need to See Beyond Viewability

Marketers have relied on viewability metrics for years to measure ad performance. Afterall, an ad seen means the ad is working, right?  

But with the auto-play video ads, endless scrolling, and shrinking attention spans, the ad being just ‘viewable’ or ‘seen’ is not enough. 

That’s the hard truth modern marketers are realizing nowadays. Viewability alone cannot tell whether users actually noticed, understood, or engaged with an ad, or was it getting completely ignored by the audience. 

That is why the industry has shifted its focus from traditional viewability to a more advanced ad metric, attention metrics, to evaluate ad performance.  

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What is Install Fraud? How to Solve Install Fraud?

Advertising platforms optimize for signals—not intent.  

In mobile marketing, the most important signal is the install. More installs usually mean a campaign is working. Platforms see this, assume success, and push more budget in the same direction.  

This is where install fraud begins.  

Fake installs are easier and cheaper to generate than real users. Fraudsters use bots, device farms, or incentivized tactics to create large volumes of installs that look genuine on the surface. Since the numbers look good, platforms assume the campaign is performing well. Budgets increase. The same sources get more spend.  

But the users aren’t real.  

At first, nothing feels wrong. Cost per install may even go down. Install numbers keep growing. The problem only becomes visible later, when users don’t open the app, don’t register, and don’treturn. What looked like growth turns into wasted spend.  

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Affiliate Lead Fraud Exposed: How Fake Leads Hijack Performance Marketing 

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. 

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Click Fraud: The Complete Guide for Marketers in 2026

A few years ago, a globally recognised brand cut two-thirds of its annual online advertising budget around $100 million. What happened next revealed a shocking truth about the digital advertising industry.  

There was little to no drop in performance. Conversions held steady, demand didn’t collapse, and the business continued as usual. The reason wasn’t efficiency; it was ad fraud and the brand that showed the mirror to the world was uber.

Fast forward to 2026, and the problem has only become more complex. 

If you are investing in paid media in 2026, it’s important to know that your PPC campaigns may already be exposed to highly sophisticated fraud tactics, many of them powered by advancements in AI. What once started as a side effect of digital advertising has now evolved into a deeply embedded part of the ecosystem marketers operate in today. 

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What is Brand Infringement? Its Types, & How to Keep Your Brand Protected in 2026

When customers search for your brand online, they expect to find you. But sometimes, what they find instead is a fake version. A fake website, a counterfeit product, or an offer you never approved.

This is the alarming reality brands face today.

A brand’s value lies in the unique identity and reputation it builds with customers over time. They create digital representations that are instantly recognizable and trusted. However, that very identity is increasingly being misused by others for unethical and fraudulent gain.

Brand infringement isn’t just about copied logos or trademark infringements anymore. It is now more prominent across marketplaces, social media, and other platforms designed to closely mimic genuine brands.

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How Fraudsters Manipulate App Installs and What Marketers Can Do About It?

Mobile apps are big business and the same is apparent through the significant advertising budgets dedicated to increasing app installs. In 2022 alone, advertisers spent more than $18 billion on advertising their apps to drive more installs. This makes the app install advertising business lucrative.  

Unfortunately, this lure also attracts bad actors and frauds. That’s perhaps why, today, app install fraud is one of the most common forms of ad fraud in the online realm. According to our analysis, we have found that on IOS, the average fraud at the install level is 57% which rapidly increases to 70% on Android devices.  

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What is Install Fraud? How to Solve Install Fraud?

Advertising platforms optimize for signals—not intent.  

In mobile marketing, the most important signal is the install. More installs usually mean a campaign is working. Platforms see this, assume success, and push more budget in the same direction.  

This is where install fraud begins.  

Fake installs are easier and cheaper to generate than real users. Fraudsters use bots, device farms, or incentivized tactics to create large volumes of installs that look genuine on the surface. Since the numbers look good, platforms assume the campaign is performing well. Budgets increase. The same sources get more spend.

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What Are Attention Metrics: Why Brands Need To See Beyond Viewability

Marketers have relied on viewability as a metric for the longest time to measure the success of an ad campaign. Afterall, an ad seen means the ad is working – right?

But with the auto-play video ads in the picture and the attention of the users moving to instant scrolling, the ad being just viewable cannot be reliable.

The hard truth that modern marketers are realizing – the ad might be technically “seen” but it can be completely being ignored by the audience.

Focusing just on viewability metrics is not sufficient to understand whether the user absorbed the ad’s message or not. Therefore, the need for an advanced ad metric to evaluate ad performance was required. This shifted the focus to attention measurement or what the industry now calls attention metrics.

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Ad Fraud Explained: Types, Impact, and How Advertisers Can Fight Back

Ad fraud in 2026 is emerging as a global problem. 

With global digital marketing spends hitting USD 21.2 billion in 2024 and projected to grow to USD 51.1 billion by 2034, expanding at a 9.2% CAGR, brands are investing heavily across platforms, formats, and audiences, betting on data-driven precision to deliver results. 

But as digital advertising scales, so does its biggest hidden challenge: digital ad fraud. Brands still see ad fraud as a linear problem, neglecting the roots till which it has extended its feet. 

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The $1 Billion Wake-Up Call: FTC Compliance Risks in Affiliate Marketing Explained

The Federal Trade Commission (FTC) is one of the most important regulatory bodies in the U.S., playing a critical role in protecting consumers and preserving trust in the marketplace. For brands, it sets the standards for fair advertising, transparent communication, and ethical business practices, helping prevent deceptive marketing and unfair trade conduct.  

Hence, non-compliance with FTC guidelines does not just slow growth, it directly impacts credibility, customer trust, and long-term business sustainability. 

Amazon learned this firsthand, paying $1 billion in civil penalties for misleading customers. For brands running affiliate programs in the U.S., this is not a distant cautionary tale, FTC compliance is the current reality, one that has been playing out for years and shows no sign of slowing down.

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Ad Fraud in Programmatic Ads: Why Impression-Level Protection Matters

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.

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