IN-APP FRAUD

“Fraudsters will always seek new ways to deceive consumers and brands alike, but there are ways to mitigate fraud fallout through a careful and thorough approach that addresses fraud on its many levels. At this stage in the fight against fraud, it is critical that all parties involved work together to help ensure the mobile app industry remains credible and trustworthy.”

-  Ofer Garnet / YouAppi CTO -

Battling Fraud

Fighting fraud is an ongoing battle that is fought in waves. Whenever new solutions are introduces to the market and solve one form of fraud, fraudsters will come up with new and increasingly sophisticated methods.

Losses from mobile fraud are considered to be in the billions, however this estimation relies solely on advertiser rejection rates using existing fraud prevention tools. The amount of preventable fraud is considered to be much higher.

All types of marketers are affected, with fraud rates showing the majority of sampled apps with 12% fraudulent installs to 30% fraudulent installs or higher! 

The higher the CPI or payout the heavier the hit. E-commerce is considered as the top app vertical to be targeted by fraudsters, while gaming, finance, travel and food & drink quick to follow.

UNSAFE DEVICES

Identifying Malware Infections

Tracking and analyzing system, network and behavioral data from each device, YaGa flags devices deemed as unsafe, displaying suspicious patterns, most likely infected by malware.

 

Placed directly on the device with a native plugin, enables YaGA in-depth analysis of the device and the ability to identify even subtle abnormalities.

Click spamming (or flooding) is when publishers send large amounts of fraudulent click reports, hoping to deliver the last-click prior to installs.

Too many impressions or clicks from the same device can indicate fraudulent behavior.

 

YaGa’s Machine learning determines when such activity is fraudulent.

CLICK SPAMMING

Stopping The Flood

APP SPOOFING

Flushing Out Pretenders

Similar to domain spoofing, In-app fraudsters try to gain programmatic bids by pretending to be a different app. Digitally signing all bid requests, YaGa’s post-analysis uncovers discrepancies between reported app bundle ID and the actual app bundle ID.

 

Unlike existing solutions that are based on web technology and can analyze only a fraction of all in-app traffic, YaGa's technology provides full, device based data.

YaGa’s technology can identify traffic (installs, impressions and clicks) generated by bots by applying machine learning models that learn from real device-level data.

YaGa determines whether the ad interaction is human or not.

 

Device-level signals allow for rich modelling of real-user behavior per device, significantly reducing false calls.

NON-HUMAN TRAFFIC

The Fight Against Robots

INSTALL HIJACKING

You Shouldn't Pay For Organic Users

Containing the click spamming fraud method, Install hijacking means stealing attribution for legitimate users.

 

Legitimate interactions are digitally signed and audited by YaGa, easily identifying artificially injected clicks who are meant to steal credit for an organic install.

 

Collecting both click and install information at the device level, provides extreme accuracy when identifying install hijacking.

A popular method for generating fraud at scale, running on non-mobile devices allowing fraudsters to mimic other device operating systems and behavior.

 

Relying on multiple signals from the publisher’s app and device, YaGa flags devices as a suspected emulated devices

EMULATED DEVICES

Flagging Clones