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Independent MMP Attribution Auditor
A purely analytical SaaS tool that ingests a mobile app's internal event data and compares it against MMP (AppsFlyer, Adjust) reports. It automatically flags discrepancies, fraudulent installs, and wasted ad spend without requiring the user to switch MMPs.
Why this matters
A purely analytical SaaS tool that ingests a mobile app's internal event data and compares it against MMP (AppsFlyer, Adjust) reports. It automatically flags discrepancies, fraudulent installs, and wasted ad spend without requiring the user to switch MMPs.
- · Built for Mobile App Developers, Performance Marketers, User Acquisition (UA) Managers.
- · Most likely monetization: SaaS subscription based on event volume.
Score Breakdown
Market Signal
Differentiation
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Independent MMP Attribution Auditor
Sub-headline
A purely analytical SaaS tool that ingests a mobile app's internal event data and compares it against MMP (AppsFlyer, Adjust) reports. It automatically flags discrepancies, fraudulent installs, and wasted ad spend without requiring the user to switch MMPs.
Who It's For
For Mobile App Developers, Performance Marketers, User Acquisition (UA) Managers
Feature List
✓ API integrations with internal databases (Firebase, Mixpanel) and MMPs ✓ Automated discrepancy reporting (e.g., the 18% gap mentioned by users) ✓ Install fraud detection heuristics ✓ Exportable audit reports for ad network refunds
Where to Validate
Share your landing page in r/r/marketing — that's exactly where these pain points were discovered.
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Community Voices
Real quotes from Reddit comments that inspired this opportunity
- “the attribution numbers never matched what our internal events were firing lol.”
- “ended up doing a side by side with adjust and the discrepancy was like 18% on install counts.”
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