Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Scalarr offers a cutting-edge solution for mobile ad fraud detection through advanced Machine Learning technology. To combat the most significant threats in mobile advertising, Scalarr employs a dual-layered approach with next-generation algorithms that achieve an impressive accuracy rate of up to 97% in identifying various forms of in-app fraud. Users can experience the benefits of Scalarr by exploring its capabilities to overview, analyze, and thwart mobile app install ad fraud using its unsupervised machine learning features before any harm occurs. The platform utilizes both unsupervised and semi-supervised machine learning techniques to automatically spot and understand fraud patterns across vast datasets. By examining countless clicks, installs, and post-install event variables, Scalarr significantly minimizes both false positives and false negatives in its detection process. With a sophisticated model design prioritizing result accuracy and thoroughness, Scalarr stands out as a robust tool that provides actionable insights at the individual conversion level, ensuring advertisers can make informed decisions regarding their ad campaigns. This comprehensive approach ultimately enhances the overall integrity of mobile advertising strategies.
Description
Traditional check-clearing methods primarily assess the legal and courtesy limits of check amounts, often resulting in low-risk scores and the potential for false positives. In contrast, Tungsten FraudOne software enhances the detection of counterfeit checks through an innovative fraud scoring engine, which can be integrated with various verification tools to more effectively uncover sophisticated fraud schemes. By utilizing adaptable fraud detection strategies during both the capture and clearing stages, particularly as transaction methods like mobile deposits evolve, businesses can significantly streamline their processes. This solution minimizes the labor-intensive manual review of false positives by effectively differentiating between questionable and valid items. Moreover, it bolsters customer assurance by providing safeguards against signature forgery, check alterations, and fraudulent discrepancies. With improved accuracy, organizations can identify a greater number of suspicious checks in a shorter period, enabling them to scrutinize all checks, not just those of high value. Ultimately, this leads to a more efficient and trustworthy check verification process.
API Access
Has API
No
API Access
Has API
No
Integrations
Adjust
Yes
AppsFlyer
Yes
Branch
Yes
Kochava
Yes
Singular
Yes
Tenjin
Yes
mParticle
Yes
Integrations
Adjust
No
AppsFlyer
No
Branch
No
Kochava
No
Singular
No
Tenjin
No
mParticle
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Scalarr
Founded
2016
Country
United States
Website
scalarr.io
Vendor Details
Company Name
Tungsten Automation
Founded
1985
Country
United States
Website
www.tungstenautomation.com/products/fraudone
Product Features
Click Fraud
Account Alerts
No
Activity Monitoring
No
IP Address Monitoring
No
IP Blocking
No
Keyword Tracking
No
Refund Management
No
Risk Assessment
No
Time on Site Tracking
No
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No