#adtrafficvalidation

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Is your CTV Ads Budget ROI Optimized with Ad Fraud Detection?

Approximately, $1.14 billion in global CTV open programmatic ad spend was lost to invalid traffic in Q2 2024. This highlights the gravity of ad fraud in the CTV ecosystem. CTV ad fraud causes inflation in ad campaign metrics of CTV ads due to invalid traffic, bot-driven engagement, and app spoofing. Some of the most common CTV ad fraud include:  

Invalid or Bot Traffic: That does not come from a genuine user, including traffic generated by data centers (DCH), automated clicks, and other non-human sources. Bots generate fake ad views or clicks, making it appear as though there is legitimate engagement from real users. 

Device Spoofing via: Creating fake CTV devices or apps to mimic real ones. It often tricks advertisers into buying ads on non-existent or fraudulent platforms. 

VPN/DCH: Traffic coming from Virtual Private Networks (VPNs) or data centers, is often used to hide the true location of the user and generate fake engagement from non-targeted regions. 

CTV ad fraud also includes device spoofing, running ads through secondary devices while the TV is off, and invalid server-side ad insertion (SSAI). 

To read more visit: Is your CTV Ads Budget ROI Optimized with Ad Fraud Detection?

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How Bot Detection Enhances Marketing Campaign Accuracy and Safeguards Ad Spends

There is a need for a full-funnel ad fraud detection tool to provide omnichannel protection against general and sophisticated invalid traffic i.e. GIVT & SIVT. An additional brand safety layer of protection helps to boost campaign performance. To guarantee the success of digital marketing efforts, the traffic validation tools should provide coverage across app, web, OTT, and CTV ecosystems.  

Let’s understand how bot detection works, why it is so important in marketing campaigns, the technologies involved, and how we help organizations overcome the risks of ad fraud in the bot-driven world and enhance marketing analytics accuracy.

Device Fingerprinting 

Device fingerprinting helps track and identify unique devices across the internet. Each time a particular device accesses a website or clicks on an advertisement, a unique “fingerprint” can be created with various signals and device attributes. This technique is driven by AI & ML algorithms to analyze data and identify anomalies that pinpoint bot traffic in real time. Sophisticated bots are largely identified at down-the-funnel (i.e. clicks, visits, leads, or sales) metrics. The General IVTs are identified at the pre-bid impression stage. 

Behavioral Analysis 

Human users do not exhibit predictable patterns, but the behaviors are predictable in the case of bots. Behavioral analysis tracks user interactions to detect unusual activities. One of the most common types is mouse movement. Bots tend to have straight-line patterns vis-a-vis a random pattern in the case of real humans. For any traffic validation tool, behavioral checks should feed into the overall ad fraud checks.  

  Read more Bot Detection.

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App fraud detection  

App fraud detection is a technique that helps in identifying and preventing fraudulent activity in mobile apps. There are so many different types of fraud including account takeover fraud, payment fraud, in-app purchase fraud, device fraud and identity theft. App fraud can be a major for developers and business organizations and it can lead to financial losses and reputational damage.  

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Challenges In Programmatic Advertising: Know How You Can Combat Them

An insight into the challenges in programmatic advertising an advertiser might face and how to combat them.

Programmatic has brought a revolutionary change in digital advertising. With its complete automation process, it has made it easier for advertisers to get the best place for their ads. However, every change comes with its own set of challenges. It is a challenging decision for an advertiser to make a move toward the big and promising world of real-time bidding advertising. All the things are shiny, but certainly, some red flags can be avoided to get the best returns on the ad spends...

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mFilterIt’s ad traffic validation suite is focused to detect invalid traffic sources and prevent wastage of ad spends with the capabilities of AI, ML, and data science.

mFilterIt’s Ad Traffic Validation Suite is a holistic ad-fraud detection and prevention solution. It aims to validate the ad traffic sources using the capabilities of AI, ML, and data science. The Ad Fraud solution ensures to protect the digital advertising spends across platforms like web, app, programmatic, and walled gardens.  

The solution focuses on a full-funnel approach to prevent the impact of fraudulent practices across the sales funnel and save from further wastage of ad spends for advertisers.