MMP built-in fraud filters vs dedicated tools (Protect360 vs Interceptd vs Scalarr)

MMP built-in fraud filters vs dedicated tools (Protect360 vs Interceptd vs Scalarr)

Your MMP catches the obvious stuff. Whether you need a dedicated layer depends on traffic source quality.

MMP built-in (Protect360, Adjust Fraud Prevention)
— ✓ Free with the platform, blocks click-flooding and known device farms inline
— ✓ Pre-attribution rejection, fraud never hits your bill
— ✗ Rules tuned conservatively to avoid blocking real installs, misses sophisticated SDK spoofing

Dedicated (Scalarr, Interceptd, mFilterIt)
— ✓ ML models catch evolving spoof patterns and bot-behavior fraud
— ✓ Post-install behavioral analysis your MMP won't do
— ✗ Extra cost, integration overhead, and overlap with what you already pay for

Buying clean DSP and tier-1 social? MMP filters are usually enough. Running incent, SDK-heavy networks, or cheap unknown sources? A dedicated behavioral layer pays for itself.

Verdict: MMP filters for clean sources, add a dedicated ML layer for incent and unknown supply.
Best for: buyers scaling spend into riskier traffic mixes.