Yeah-Anti Fraud is the proprietary ad quality inspection system of Yeahmobi. Designed to analyze and filter fraudulent traffic in mobile marketing, Yeah-Anti Fraud platform intelligently detect anomaly in ad traffic, real-time installation data and user behavioral data.

Purifying Mobile Marketing Environment Has Always Been Our Calling!

Yeah-Anti Fraud analyzes real-time campaign data, dynamically optimizes and adjusts campaign traffic structures, while cutting time and human resources cost for advertisers.

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Highlights

01.

Intelligent detection

Traffic profile: conversion volume, characteristics, historical data,etc. User click-install data analysis: click injection, click flood, bots, device farm, etc. User in-app data analysis: user behavioral data distribution model

Intelligent detection

Automated warning & optimization

02.

Automated warning
& optimization

Real-time monitoring and warning system. AI-powered optimization on abnormal traffic.

03.

BI data analysis

Visualized BI statistics report, transparent quality inspection.

BI data analysis

Core technique

04.

Core technique

Intelligent big data analysis, in-depth machine learning, AI-powered smart model, traffic profile database, blacklist.

Strength

Yeah-Anti Fraud proactively verify performance data and its authenticity, monitor and rate each campaign to ensure the marketing results. Yeah-Anti Fraud system’s algorithm could detect all fraudulent types, and closely follow any suspicious traffic performance.

Yeah-Anti Fraud

Yeah-Anti Fraud is the proprietary ad quality inspection system of Yeahmobi. Designed to analyze and filter fraudulent traffic in mobile marketing, Yeah-Anti Fraud platform intelligently detect anomaly in ad traffic, real-time installation data and user behavioral data.

Purifying Mobile Marketing Environment Has Always Been Our Calling!

Yeah-Anti Fraud analyzes real-time campaign data, dynamically optimizes and adjusts campaign traffic structures, while cutting time and human resources cost for advertisers.

Highlights
01.
Intelligent detection

Traffic profile: conversion volume, characteristics, historical data,etc. User click-install data analysis: click injection, click flood, bots, device farm, etc. User in-app data analysis: user behavioral data distribution model

Automated warning & optimization

03.
BI data analysis

Visualized BI statistics report, transparent quality inspection.

Core technique

Intelligent detection

02.
Automated warning
& optimization

Real-time monitoring and warning system. AI-powered optimization on abnormal traffic.

BI data analysis

04.
Core technique

Intelligent big data analysis, in-depth machine learning, AI-powered smart model, traffic profile database, blacklist.

Highlights
01.
Intelligent detection

Traffic profile: conversion volume, characteristics, historical data;User click-install data analysis: click injection, click spamming, device farm, bots, IP VPN, abnormal IP, SDK spoofing, emulated devices, referral hijacking, artificial/fake attribution, duplicate user, data center, etc. User in-app data analysis: retention, ROI, ROAS, Event, user behavioral data distribution model.

Intelligent detection

02.
Automated warning & optimization

Real-time monitoring and warning system. AI-powered optimization on abnormal traffic.

Automated warning & optimization

03.
BI data analysis

Visualized BI statistics report, transparent quality inspection.

BI data analysis

04.
Core technique

Intelligent big data analysis, in-depth machine learning, AI-powered smart model, traffic profile database, blacklist.

Core technique

Strength

Yeah-Anti Fraud proactively verify performance data and its authenticity, monitor and rate each campaign to ensure the marketing results. Yeah-Anti Fraud system’s algorithm could detect all fraudulent types, and closely follow any suspicious traffic performance.

Strength

Yeah-Anti Fraud proactively verify performance data and its authenticity, monitor and rate each campaign to ensure the marketing results. Yeah-Anti Fraud system’s algorithm could detect all fraudulent types, and closely follow any suspicious traffic performance.