Anyone still dealing with fake traffic / bot clicks lately?

blolcknine

blolcknine

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Been noticing a lot of junk traffic lately — fake clicks, datacenter IPs, and random bots inflating stats.
Even traffic from “trusted” sources seems mixed these days.

I’ve been testing a few filtering setups recently to clean things up. Tried one called TrafficShield — it blocks bad traffic before it hits the LP, and I’ve seen some improvement so far.

Curious what others are using right now?
Are you filtering traffic in real time, or just analyzing after the fact?

Would love to hear how you’re handling it — especially if you’re running paid traffic or using redirect flows.
 
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It’s a game of cat and mouse. When I tighten traffic sources, I lose volume but gain quality.
 
Yeah, this has been a nightmare for me too. I started using some filtering tools to block suspicious traffic before it hits my LP. Not perfect, but it definitely reduced fake clicks. One of the tools I tried is same you mentioned i.e TrafficShield — pretty simple to set up and seemed to catch a lot of low-quality traffic.
 
I analyze logs daily and use IP quality APIs to block bad ones. Works decently so far.
 
If you run paid traffic, route to a QA landing first and scrub suspicious clicks before sending to the live funnel.
 
Aminovish49 said:
cloudflare isn't enough?
Click to expand...
recently I found the way.
and make mine hunter it bypass cloudflare turnstile as well challenge and for now it is only for me

so now yes cloudflare isn't enough

LOL cloudflare security/networking system
 
For paid traffic we pre‑filter at the CDN with bot rules, then do deeper analysis server‑side.
 
I've been using ClickCease alongside TrafficShield for filtering fake clicks. It's been a solid setup for real-time filtering, especially with paid traffic and redirect flows. Have you tested that combination yet?
 
I’m new to this as well, but I’ve started seeing similar issues.
At the moment, I’m leaning more toward blocking bad traffic instantly instead of reviewing it later bsince by then the data is already distorted.
 
yah tbh bot traffic feels worse lately even from some good sources. A lot of campaigns look profitable until you filter the junk out, i've seen cleaner stats after filtering suspicious clicks early bro, so suspicious recently.
 
maybe u should try real-time filtering , it helps better than post analysis imo. Bad traffic can already mess up optimization signals before you notice it.
 
For paid traffic we pre‑filter at the CDN with bot rules
 
We are facing a massive amount of fake bot clicks. They simply trick the ad platform and click away our budget. When dealing with pro fraudsters, you are almost defenseless. The real issue starts because Google doesn't protect the ads enough; their system is too easily exploited. This is the first front where the campaign bleeds out.
Sure, you can block 500+500 IPs at the campaign level, but what good is that against 10,000 attacks a day? We are being targeted from 8 different countries continuously. In reality, Google has a vested interest in letting this happen—they know about it, but they won't fix it for business reasons.
DNS protection (Cloudflare) and blocking attacker IPs (ClickGuard) can only do so much. Pro scammers jump from server to server for a few bucks. They spoof geo-locations and cause serious damage. You can try to chase down their datacenter rentals, but it turns into a never-ending game of cat and mouse. At the end of the day, you can rarely ever truly corner the actual attackers.
Click to expand...

 
TrafficShield, ClickCease, and CHEQ all do the same basic thing — IP/device blacklist + heuristic rules — and miss the same kind of attacks: residential botnet clicks and ML-driven mouse-movement bots. What actually catches modern fraud is honeypot fields on the LP (CSS-hidden inputs that humans never fill but bots do), plus behavioral biometrics on cursor entropy. If you're on a budget, build it yourself: a 100-line JS snippet that logs mouse movement variance + scroll depth + time-on-page, anything outside human distribution gets flagged. The paid tools mostly resell that exact logic with a dashboard.
 
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