Launching today
ScroogeFrog AI
AI ad fraud detection that protects your marketing budget
372 followers
AI ad fraud detection that protects your marketing budget
372 followers
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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What's the minimum click volume needed for the AI to start detecting fraud accurately?
@evanbuildsai Great question!
Our AI starts analyzing traffic from the very first clicks. Ideally, we recommend around 10,000 clicks and 100 conversions for more accurate results.
But there's another cool thing! You can also build your own custom AI model by marking which traffic is good and which is fraudulent. This helps the model learn your specific traffic patterns faster, without relying only on general detection rules.
So basically, the more data you have (and the better you label it), the smarter your fraud detection gets! 🐸
is there a way to set custom threshold for fraud probability per domain?
@emilyrae Yes, of cource, in the Statistics module, you select the specific domain first and then set your own values for "Min. Fraud probability" and "Min. Suspicious probability"👌
Been looking for a product like this! Looks very useful for helping to get data on those pesky fraudulent clicks. Was a real problem when I tried out advertising haha. You say that it helps reduce ad spend in the future too - how does that work? Is it through optimizing campaigns?
@silvia_odwyer1 Yes, exactly Silvia, that's the problem every advertiser struggling with! And yes, you can cut off junk traffic before it drains your budget, so the ad algorithms stop optimizing for fake clicks, and your spend goes strictly toward real potential customers)
showing client conversion samples to train the model sounds like a smart approach
@libin_yao Yes, thats what makes our antifraud so different, we dont just analyze basic parameters one by one, we analyze the complete behavioral profile of a client’s actual customer.
saved this to test on our next Gads campaign
@quinnxie Waiting for your feedback, Quinn😉
name reminds me of ScreamingFrog haha
@pregasen this is my first impression as well 😂
@pregasen @justin2025 Haha, classic! 🐸 Though instead of screaming, ours just counts the ad budgets we saved like Scrooge McDuck! 💸
Does this work alongside existing google analytics 4 setups without double tracking?
@alexia_li Yes, it is, our service is very easy to set up😉