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Mintegral Anti-Fraud Measures

Label:anti-fraud ,ad traffic ,user acquisition

Mintegral’s Anti-Fraud Measures

Updated Q1, 2026

Mintegral is committed to delivering high-quality traffic to advertisers through our comprehensive, multi-layered anti-fraud system. We understand that fraud protection is essential to maximizing your advertising ROI and ensuring campaign success. Our system continuously evolves to stay ahead of fraudulent actors and protect your advertising investment. To report suspected fraud incidents, contact your Mintegral account manager for assistance.

Fraud Prevention Measures

  • Real-Time Signal Verification: Our system cross-validates impression data to identify discrepancies that may indicate fraudulent activity. This dual-verification process ensures that every impression we deliver is legitimate and measurable.

  • Performance Quality Monitoring: We continuously monitor campaign performance indicators to flag traffic that may indicate invalid activity. Our system tracks Return on Ad Spend (ROAS) to identify unusually low performance and monitors user retention rates to spot traffic sources that consistently deliver users with poor retention.

  • Advanced Behavioral Analysis: Our machine learning algorithms detect suspicious user behavior patterns including unnatural installation patterns with unrealistically fast click-to-install times (CTIT) that suggest automated behavior. We identify retention anomalies such as sharp drops in user retention that indicate low-quality or fraudulent installs, and detect bot behavior through highly regular, predictable patterns such as users opening apps or generating events at exactly the same intervals daily, or the active user amount doesn’t match with install amount in the Google Play/App Store.

  • Traffic Source Validation: We verify the authenticity and quality of our traffic sources through comprehensive validation processes. This includes app store verification to confirm apps are properly listed and maintained on official app stores, package name authentication to ensure requested package names match registered app identifiers, and distribution analysis that monitors OS versions, device models, and geographic distributions for unusual patterns that may indicate fraudulent sources.

  • Device Farm Fraud Detection: Our system identifies coordinated device farm operations where developers launch multiple low-DAU products with significant device overlap and introduce small volumes of fraudulent traffic to evade detection. By analyzing dimensions including IP addresses, User Play Time (UPT), device IDs, and device activity timestamps, we determine whether seemingly independent developers belong to the same DAU matrix, enabling us to flag and block fraudulent traffic networks operating across multiple apps.

  • Manual Review Process: In addition to our automated detection systems, we conduct thorough manual reviews of publishers to confirm their legitimacy. This process includes verifying publisher credentials, app authenticity, historical performance data, and compliance with industry standards, ensuring only trusted and legitimate publishers are part of our network.

  • Continuous System Enhancement: Our anti-fraud system undergoes regular updates and improvements to address emerging fraud tactics. We proactively enhance our detection capabilities to ensure your campaigns benefit from the highest quality traffic available in the market.

Requirements for Device-Level Investigations:

  • Complete postback data sharing must be enabled for all campaign events

  • All conversion events and user behavior data must be transmitted to Mintegral

  • Full data access is required for thorough pattern analysis and investigation

⚠️ NOTE: Device-level fraud investigations are only available when complete postback data is provided. Limited data sharing restricts our ability to conduct comprehensive fraud analysis.

Fraud Types and Detection Methods

Fraud Type

Description

Common Signs

Mintegral solutions

Signal Manipulation

Simulated scripts that produce false signals 

Impression/click reported but didn’t actually occur

Real-time signal cross-validation via SDK

Bot Traffic

Automated users with predictable behavior

Regular timed event intervals, identical timing patterns.

Active User amount doesn’t match with install amount in Google Play/App Store

Advanced behavioral analysis algorithms

Low-Quality Sources

Traffic sources with poor user quality

Consistently low ROAS, poor retention rates

Performance quality monitoring

Installation Fraud

Artificially fast or suspicious install patterns

Unrealistic click-to-install times (CTIT)

Behavioral pattern analysis

Package Spoofing

Mismatched app identifiers

Package name inconsistencies

App store and package authentication

Device Farm Fraud

Coordinated device farms across multiple low-DAU apps from linked developers

High device overlap across apps, small volumes of mixed fraudulent traffic

IP, UPT, device ID, and activity time analysis to identify linked developer networks

Frequently Asked Questions

Is suspicious traffic blocked in real time? 

Yes, Mintegral's fraud prevention systems operate continuously to identify and block invalid traffic in real time. For advertisers using MMP fraud detection tools like AppsFlyer 360, we receive and process real-time rejected installs only. Our multi-layered system applies blocking measures when fraud patterns are detected across our behavioral analysis and signal verification processes.

How does Mintegral provide fraud investigation support? 

We conduct comprehensive fraud investigations using device-level data analysis when complete postback data is provided. This enables detailed pattern identification, behavioral analysis, and remediation recommendations. Your account manager will coordinate investigation processes and provide detailed findings.

What reporting do advertisers receive? 

If a reasonable request is made, we can provide transparent reporting on traffic quality and the protective measures in place for your campaigns. Reports include fraud detection rates, blocked traffic volumes, and campaign performance impact from our fraud prevention measures. Your account manager can provide additional details about fraud protection settings for your specific campaigns.

How often are fraud detection capabilities updated? 

Our anti-fraud system receives regular updates to address emerging fraud techniques and enhance detection capabilities. Machine learning models are continuously refined, and new fraud patterns are incorporated to maintain the highest quality traffic standards for all advertisers.

 

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Last modified: 2026-03-03