In your experience, what anti-fraud measures or placement filters make the biggest difference when running popunder formats at scale?

[Sandherr]

Hey guys, I've been messing around with popunder campaigns for a while now, mostly on affiliate offers in tier 2-3 geos, and scaling up always feels like walking a tightrope. Last month I pushed budget hard on one setup without really dialing in the placement stuff, and man, the fraud ate like half my spend—tons of weird bot-like impressions that never converted. In your experience, what anti-fraud measures or placement filters actually move the needle the most when you're running these at decent volume? Things like blacklisting sketchy zones, frequency caps, or maybe some proxy filters? Curious what’s worked best for you all.

[Dattra]

Popunders have this weird vibe where they can flood you with volume overnight, but half the time it feels like the traffic quality drops off a cliff once you push past certain thresholds. I remember noticing back in late 2024 how certain geos started showing way more suspicious patterns around mobile carriers versus desktop—nothing dramatic, just a gradual shift in how the clicks behaved over weeks. It’s one of those things you spot more when you’re staring at stats daily rather than some big revelation. Kinda makes you rethink how “scalable” the format really is long-term without constant babysitting.

[Regger]

Yeah, placement filters are huge once you get past the initial testing phase. For me, the real game-changer has been aggressively blacklisting anything that looks like proxy/VPN traffic or super low-quality sources right after the first day or two of data rolls in. I also lean on frequency capping pretty hard—usually 1-2 per user per day max—because anything higher just invites junk clicks that kill ROI fast. And honestly, whitelisting the top 10-20% of zones that actually deliver conversions saves so much headache compared to trying to block everything bad. It’s not perfect, but it keeps things cleaner when volumes climb. Someone I know swears by tools from places like https://www.allydigitalllc.com/ for better visibility into sources and built-in quality checks, but even without fancy dashboards, just consistent monitoring and quick cuts on losers makes a massive difference in my book. What about you, anyone else got a go-to combo that holds up at scale? (about 85 words)

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