Mobile Applications

DataVisor helps the world’s largest mobile applications stop millions of dollars of fake installs, promotion abuse, and in-app purchase fraud. Unlike traditional solutions, DataVisor’s Unsupervised Machine Learning Engine analyzes all users and events simultaneously to find the hidden connections between them. This allows DataVisor to detect suspicious accounts even as fraudsters change their techniques of camouflage their fake installs with real-looking user activity.

Stop Fake Installs and Abuse with Unsupervised Machine Learning

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App Install Fraud

Save millions in ad spend by automatically detecting fake installs even as attackers change techniques or camouflage their fake users with real-looking user activity.

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Promotion Abuse

Catch fraudsters attempting to game your system by abusing new player bonuses and other promos by uncovering the hidden connections between their accounts.

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In-App Purchase Fraud

Detect and stop fraudulent in-app purchases in real time by analyzing all user events as well as connections with other suspicious users to prevent charge-backs later.

Learn how DataVisor Fights Mobile Fraud and Abuse

 Case Study 

App Install Fraud Case Study

DataVisor has partnered with one of the most well respected gaming companies in the world, with a massive install base of more than 300 million users across 180+ countries, to help them fight user acquisition fraud.

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Bringing Real Value to our Customers


“We are keenly focused on growing our global user base of gamers. DataVisor helps us ensure new installs are from legitimate users, thereby maximizing our ROI from our user acquisition marketing and maintaining the quality of our gaming community.”

– CTO | Top 50 Mobile Gaming Company

Key Benefits of the DataVisor Detection Solution

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5-20% Fraud Rate Detected

For paid installs from major ad networks, DataVisor can detect fraud rates as high as 20%.

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Millions of Dollars of Refunds

Our customers have received millions of dollars of refunds from major ad networks for installs detected as fraudulent.

high accuracy and coverage to detect account takeover

99% Detection Accuracy

Detect the entire crime ring at greater than 99% accuracy by linking all malicious users together into fraud groups

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One-Day Integration

DataVisor’s flexible data structure minimizes data pre-processing and integration time.

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Fraud Reports 

Provide detailed, verifiable evidence of fraud to ad networks to justify each refund and understand fraud patterns.

The DataVisor Platform

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

What’s Happening in Mobile Applications

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Mobile Fraud Gone in a (Device) Flash

Device fingerprinting, i.e., collecting information from a device for the purposes of identification, is one of the main techniques used by online services for mobile fraud detection. The goal is to recognize “bad” devices used

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Ready to enhance your detection with unsupervised machine learning?