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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

HUMAN's Ad Fraud Defense system takes a proactive approach by examining bid requests before they are placed to block any invalid traffic from entering your inventory. By creating a secure environment for transactions, this solution not only enhances your brand's reputation but also protects revenue streams and increases demand from partners. It serves as a safeguard against fraud across essential inventory types, including desktop, mobile, connected TV (CTV), and audio, which ultimately results in better ad performance. Through its focus on transparency and the reduction of invalid traffic, this defense mechanism increases the overall value of your inventory while delivering proactive fraud protection. By conducting pre-bid analysis, HUMAN effectively prevents invalid traffic from compromising your inventory, thus elevating your standing in the marketplace and attracting more partners. Moreover, HUMAN's ability to detect and address ad fraud across various platforms ensures the highest level of pre-bid fraud mitigation available. This comprehensive approach not only secures your inventory but also fosters trust and reliability within the advertising ecosystem.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adjust
AppsFlyer
Branch
Human Defense Platform
Kochava
Singular
Tenjin
mParticle

Integrations

Adjust
AppsFlyer
Branch
Human Defense Platform
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

HUMAN

Founded

2012

Country

United States

Website

www.humansecurity.com/platform/solutions/ad-fraud

Vendor Details

Company Name

Scalarr

Founded

2016

Country

United States

Website

scalarr.io

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

Click Fraud

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

Alternatives

Alternatives

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