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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adjust
AppsFlyer
Branch
Kochava
Singular
Tenjin
mParticle

Integrations

Adjust
AppsFlyer
Branch
Kochava
Singular
Tenjin
mParticle

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Product Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

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