ScroogeFrog AI
AI ad fraud detection that protects your marketing budget
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ScroogeFrog AI - AI ad fraud detection that protects your marketing budget

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ScroogeFrog AI helps advertisers find out where their ad budget is going to waste. It audits website traffic and Google Ads campaigns to uncover suspicious clicks, bot activity, and underperforming spend, then turns complex data into clear recommendations on what to fix. For agencies and larger advertisers, it also offers custom AI fraud detection models trained on their own traffic data. Less guesswork, more control over every advertising dollar.

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Maker
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Hey Product Hunt! 👋 I'm Kostia, founder of ScroogeFrog. 🐸 We've spent over 15 years in digital advertising, and there's one problem we keep running into: advertisers paying for clicks that look legitimate but never turn into real customers. Traditional fraud filters don't always catch these. So we built ScroogeFrog AI Antifraud. Instead of relying only on generic bot rules and blacklists, we train custom AI models using your trusted traffic sources - the ones that actually bring conversions and quality leads. This helps us identify suspicious traffic based on what real customers look like for your business. We originally built it for our own advertising clients, and now we're opening it up to more advertisers. We're still actively testing and improving the models, and we'd love feedback from anyone running paid campaigns. 🎁 PH launch offer: 75% off your first year with code LAUNCH75. One question for the community: Have you ever suspected you were paying for fake clicks but couldn't prove it?

This is interesting - but some people use bots as their coworker these days so if it finds the ad and suggest it to people that will be useful right - how do your tool distinguish random spam bot vs the one people use as assistant

Maker

 Great question! They’re actually pretty different. A real AI assistant acts on genuine user intent to help a human. Fake bots just simulate meaningless clicks to burn your ad budget. Our AI tracks behavioral patterns (60+ signals) to catch the fake stuff while letting real traffic through

saved this to test on our next Gads campaign

Maker

 Waiting for your feedback, Quinn😉

I've been waiting for a proper click fraud tool that doesnt break the bank, tysm guys🙏

Maker

 You're welcome bro, we were struggling with it to, so we decided to make our own solution to this problem)

training on the sources that actually convert instead of generic bot lists makes sense, a click that looks clean but never signs up is still wasted budget

how many conversoins does an account need before the model is reliable??? small B2B accounts with 20 or 30 trials a month don't give it much to learn from

Maker

 Yep, you are right. It only needs 100 conversions for you to create a custom model, but you still have a generic model before it😉