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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Hoopoz is an advanced AI platform designed for monitoring ad compliance, tracking affiliate advertisements, discovering creators, and eliminating illegal competitor ads specifically tailored for regulated sectors where non-compliance poses significant legal, financial, and performance threats. It actively scans the market to remove unauthorized advertisements while ensuring that compliant brands receive the visibility they rightfully deserve. In instances where unethical competitors inundate the marketplace with prohibited claims, absent disclosures, dangerous content, or deceptive promotions, the cost-per-click (CPC) increases, causing compliant ads to lose their visibility; Hoopoz effectively automates the process of cleaning such environments without revealing user identities. This platform meticulously examines every advertisement across various significant channels and markets, including Meta, Google Ads, TikTok, YouTube, Instagram, X, Twitch, Facebook, Rumble, Kick, Snapchat, and LinkedIn. Furthermore, Hoopoz Defend meticulously analyzes every aspect, such as frames, audio tracks, captions, overlays, images, affiliate links, and creator posts, to identify any policy infringements, missing FTC disclosures, unsafe health or financial claims, restricted imagery, and brand mentions, thus ensuring a safer advertising landscape. By providing these comprehensive features, Hoopoz not only safeguards brands but also promotes a more transparent and responsible 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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adjust No 
AppsFlyer No 
Branch No 
Facebook Yes 
Google Ads Yes 
Instagram Yes 
Kick Yes 
Kochava No 
LinkedIn Yes 
Meta AI Yes 
Rumble Yes 
Singular No 
Snapchat Yes 
Tenjin No 
TikTok Yes 
Twitch Yes 
X (Twitter) Yes 
YouTube Yes 
mParticle No 

Integrations

Adjust Yes 
AppsFlyer Yes 
Branch Yes 
Facebook No 
Google Ads No 
Instagram No 
Kick No 
Kochava Yes 
LinkedIn No 
Meta AI No 
Rumble No 
Singular Yes 
Snapchat No 
Tenjin Yes 
TikTok No 
Twitch No 
X (Twitter) No 
YouTube No 
mParticle Yes 

Pricing Details

€1,000 per month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Hoopoz

Founded

2024

Country

Lithuania

Website

www.hoopoz.com

Vendor Details

Company Name

Scalarr

Founded

2016

Country

United States

Website

scalarr.io

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

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 

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