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What is Scalarr?

Scalarr presents an innovative solution for detecting mobile ad fraud by leveraging state-of-the-art Machine Learning technology. To address the most pressing issues in mobile advertising, Scalarr implements a dual-layered strategy featuring next-generation algorithms that boast an outstanding accuracy rate of up to 97% in recognizing various types of in-app fraud. Users can take advantage of Scalarr’s offerings by delving into its capabilities to monitor, assess, and prevent mobile app install ad fraud through its unsupervised machine learning functionalities before any damage occurs. The platform effectively employs both unsupervised and semi-supervised machine learning methods to autonomously identify and comprehend fraud patterns within extensive datasets. By analyzing numerous clicks, installs, and post-install event variables, Scalarr greatly reduces the occurrence of both false positives and false negatives in its detection framework. With a sophisticated model designed to prioritize accuracy and thoroughness, Scalarr emerges as a powerful tool that delivers actionable insights at the individual conversion level, enabling advertisers to make well-informed decisions about their ad campaigns. This holistic methodology not only fortifies the integrity of mobile advertising efforts but also empowers marketers to optimize their strategies for better performance and outcomes. Ultimately, Scalarr’s commitment to innovation ensures a safer advertising environment for all stakeholders involved.

What is Pixalate?

Pixalate is recognized as the leading platform dedicated to preventing fraud, improving privacy, and ensuring compliance analytics across connected TV (CTV), mobile apps, and websites. The programmatic supply chain poses significant trust and safety challenges for both advertisers and publishers alike. To address these issues, Pixalate has implemented a pre-bid blocking mechanism that successfully reduces invalid traffic (IVT) throughout CTV, mobile apps, and websites, leveraging a substantial network that includes over 5 million apps, 80 million domains, and 300 million OTT devices. The platform offers valuable analytics aimed at detecting fraud, protecting brands, and ensuring ad visibility while actively monitoring the expansive network of apps and domains to recognize more than 40 distinct types of IVT. Additionally, Pixalate has introduced Supply Path Quality (SPQ), marking the first analytics platform focused on optimizing supply paths regarding ad fraud and inventory quality, which is driven by a thorough examination of the Supply Chain Object (SCO) from the bitstream. The platform also features sophisticated technology designed to assess child-focused applications found in Google and Apple app stores, significantly broadening its array of tools. This pioneering strategy not only safeguards users but also contributes to creating a more transparent and trustworthy advertising environment, ultimately benefiting all stakeholders involved. Furthermore, by continuously innovating and adapting to new challenges, Pixalate reinforces its commitment to enhancing the integrity of digital advertising.

Media

Media

Integrations Supported

Adjust
AppsFlyer
Branch
Kochava
Singular
Tenjin
mParticle

Integrations Supported

AdMedia
App Store
Criteo Commerce Growth
Google Play

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Scalarr

Date Founded

2016

Company Location

United States

Company Website

scalarr.io

Company Facts

Organization Name

Pixalate

Date Founded

2012

Company Location

United States

Company Website

www.pixalate.com

Categories and Features

Ad Fraud Detection

Not specified

Click Fraud

Not specified

Categories and Features

Ad Fraud Detection

Not specified

Click Fraud

Not specified

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