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

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.

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.

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 More About Fighting Mobile Fraud and Abuse in the Real World
Bringing Real Value to Our Customers
QUOTE
“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
5-20%
of all installs detected to be fraud
For paid installs from major ad networks, DataVisor can detect fraud rates as high as 20%.
Millions
of dollars in refunds
Our customers have received millions of dollars of refunds from major ad networks for installs detected as fraudulent.
99%
detection accuracy
Detect the entire crime ring at greater than 99% accuracy by linking all malicious users together into fraud groups
One Day
integration time
DataVisor’s flexible data structure minimizes data pre-processing and integration time.
Fraud Reports
with detailed reason codes for each fraudulent install
Provide detailed, verifiable evidence of fraud to ad networks to justify each refund and understand fraud patterns.
The DataVisor Detection Solution
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.
DataVisor 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 Gaming
BLOG POST
Are You Paying for Fake App Installs? What You Can Do About Install Fraud
The mobile app landscape is extremely competitive. With more than three million apps available today in the major app stores, a new app has slim chances of standing out and making it to the top of the charts. Install ad campaigns are increasingly popular (if not necessary) for app marketers. But install fraud is an increasing problem.
BLOG POST
Virtual Goods, Real Fraud | Virtual Currency Fraud, Currency Arbitrage
The recent announcement from Activision Blizzard to acquire King Digital Entertainment, maker of the hit game Candy Crush, for a staggering $5.9 billion certainly turned some heads. Is there really that much money in the mobile gaming industry? In a word, yes, but it’s not just the game makers who look to profit.
BLOG POST
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 by fraudsters, such that they can be identified even when other attributes (such as user names or IP addresses) change.
Read DataVisor’s Latest Posts
Getting Started
Want to find out how DataVisor can identify fake installs and help you recover millions of dollars in advertising spend? Request a trial today!