Affle’s new India patent takes aim at real-time ad fraud

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Affle 3i has secured an Indian patent for a machine-learning system that detects click-to-install ad fraud in real time, a timely move as advertisers push harder for clean conversions and measurable digital ad spends. The patent, earlier granted in the US, covers a “method and system for click-to-install behavior based detection of fraud”.

The technology analyses device data, app data and user behaviour across connected devices to spot suspicious patterns in click time, redirection time, install time and network signals. Affle says the system can distinguish genuine human engagement from bot traffic and fraudulent publisher activity, then score and block offending publishers in real time so “advertisers pay only for authentic consumer conversions”.

That matters because mobile advertising fraud often attacks the attribution layer: fake clicks, manipulated installs and non-human traffic can drain performance budgets while making campaigns look successful on paper. Google defines invalid traffic as activity that does not come from “a real user with genuine interest”, including fraudulent clicks and botnets.

The patent also strengthens Affle’s cost-per-converted-user, or CPCU, model, where campaign economics depend on verified outcomes rather than raw impressions or clicks. With this grant, Affle’s IP portfolio stands at 18 unique patent grants out of 39 filed patents, with about 300 enforceable patent claims.

The larger signal is clear: ad-tech differentiation is moving from targeting promises to fraud-proof measurement. For advertisers, the real test will be whether patented detection can reduce wasted spend without adding opacity to campaign reporting.