AI-powered ad fraud detection and protection help advertisers build a wall of defence.
The ad fraud detection and elimination suite for the app and web platforms by mFilterIt does real-time pattern analysis of events and engagements to review fraudulent performance. In a typical anti- ad fraud detection a post-mortem analysis is done on the events to draw patterns and identify fraud. The engagements which show expected behaviours are marked ‘Not Fraud’.
In such solutions, one can use advanced data science techniques and the power of machine learning and any AI engine. One can analyse the data dumps and figure out genuine versus fake patterns. A logic check is required on the data, which can very well serve through any spreadsheet application with advanced MS Excel functions.
mFilterIt has always prioritized ease of integration. It is a simple java script integration or an SDK integration for us to deploy ad-fraud monitoring and protection, depending on whether it is an app or web deployment and how deep protection is required. The SDK integration makes it a data-rich integration, assisting our data analysis engine produce some of the most unique event analyses.
We use data analytics, real-time computing services, and cognitive logic to provide the best ad fraud detection. According to internal analysis, we can detect 22% more ad fraud than the industry benchmark compared to other solutions on the market.
This is not just our analysis; it was done in collaboration with some of our key customers. We also perform over 70 checks to uniquely identify the origin of an event, including whether it originated from a human.
The layer of artificial intelligence built on top of it is even more critical, providing the suite with complete cognitive power. This is central to the solution’s architecture because it contains all thinking abilities. As soon as data piles up on our servers, the ‘brain’ of the solution, based on proprietary algorithms and AI, begins drawing patterns to distinguish between real and fake, human and BOT.
We have taken the solution to a proactive stage in version 2.0, where we can validate the integrity of the click and base the results; it can be blocked much before the event occurs. This enables the filter ad fraud suite to protect proactively rather than after the fact.
Bringing ad fraud detection to this level is a game-changer. Many advertisers relying heavily on non-affiliate marketing find any ad-fraud solution less effective because payment on such platforms is prepaid, and recovering the money after establishing any fake engagement is time-consuming.
Advertisers can make an informed decision about where to spend their money with click integrity capability. The brain of the solution has been one key differentiator in our more than 5-year journey at mFilterIt, where we have saved over $500 million for our happy and satisfied customers worldwide.
Like any human being, mFilterIt’s ad fraud detection thinks far ahead thanks to its cognitive power based on an artificial intelligence engine, which can distinguish between a genuine, unique human engagement and a BOT.
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