Landing-page protection
Screen risky sessions before they hit the real page, form, or offer.
Anti-Bot Traffic Filtering
Anti-bot traffic filtering for landing pages, redirect domains, and campaign links.
KillBot helps teams filter fake clicks, suspicious proxy traffic, datacenter sessions, repeat risky IPs, and low-quality requests before they reach the sensitive destination. The product is built around visible routing decisions rather than hidden scoring.
Fake click protection
Proxy and VPN detection
Datacenter traffic detection
Traffic quality control
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Why teams deploy it
Bad traffic wastes budget before it looks fake.
Campaign traffic filtering
Add a decision layer for paid traffic so analytics and spend stay closer to real visitor quality.
Redirect-domain control
Use Smart Links on your own domain to decide where the click should go before the landing page opens.
Fake click protection
Reduce budget loss caused by low-quality or obviously suspicious click patterns before they reach the page that matters.
Signal layers
Signals used in the filtering decision.
Network layer
Bad-IP, proxy, VPN, hosting, Tor
Start with the infrastructure around the request.
ASN layer
Provider and operator context
The network owner changes how a click should be interpreted.
Environment layer
Browser and crawler markers
Device and browser behavior can confirm or challenge the network view.
Behavior layer
Repeat-risk and route policy
The route rules decide what to do with the combined signal stack.
Filtering board
Paid clicks are judged by more than one clue
KillBot treats anti-bot traffic filtering as a routing decision. The product combines infrastructure, ASN, browser, and behavior signals before it decides what reaches the page.
- Separate suspicious infrastructure from normal visitor paths early.
- Use ASN context to understand whether the network looks like hosting, proxy, or risky transit.
- Let page or link policy control the final action after the signal stack is built.
Explainable filtering
Routing result
The goal is safer traffic control, not one hidden score
Broad risk groups can be redirected first while the team studies live outcomes. That keeps the rollout safer and makes the first proof easier to validate in Traffic Log.
- Keep landing-page protection visible in the log.
- Use Smart Links when the redirect domain needs the first decision.
- Expand the policy only after the first route is stable.
Redirect-first safety
Network intelligence
Live bad-IP coverage, proxy and VPN indicators, datacenter and hosting ranges, and Tor data.
ASN intelligence
Suspicious network operators, hosting-heavy ASNs, and provider context.
Browser and environment signals
Crawler markers, suspicious browser environments, and request-pattern mismatches.
Behavior and repeat-IP activity
Cross-site repeat-IP tracking and page-level repeat-visit handling.
Operational workflow
What anti-bot traffic filtering looks like in practice.
| Traffic path | KillBot approach |
|---|---|
| Visitor lands directly on the landing page | Use a Protected Page so the routing decision happens on the real destination path. |
| Visitor first hits a redirect or tracker domain | Use a Smart Link so risky traffic can be screened before the landing page opens. |
| Campaign needs both layers | Use Smart Links and Protected Pages together so the click path and destination path each have their own decision layer. |
| Team needs to explain why traffic was filtered | Use Traffic Log to review the IP, country, ASN, category, reason, and outcome instead of relying on one hidden score. |
Priority assets
What operators usually protect first.
Landing pages
Protect the page where budget is being spent and the sensitive destination becomes visible.
Prelanders and bridge pages
Filter low-quality traffic before the real conversion path is exposed.
Redirect or tracker domains
Screen risky clicks before they reach the landing page.
Lead forms or signup steps
Reduce low-quality traffic before it creates operational noise downstream.
Visibility
Why the workflow is safer than one hidden score.
Every decision appears in Traffic Log. That means teams can see the IP, country, ASN, category, reason, and outcome instead of guessing why traffic was allowed, redirected, or blocked.
- Use redirect-first handling for broad risky categories.
- Tune country, referrer, and schedule rules per page.
- Review the result in the dashboard before scaling the policy to more campaigns.
Rollout guidance
How anti-bot traffic filtering usually rolls out.
Step 1
Protect the highest-risk page first
Start with the page or routing domain where bad traffic is causing the clearest budget or analytics pain.
Step 2
Use redirect-first handling
Route broad risky categories away from the sensitive destination while the team studies the real traffic pattern.
Step 3
Review Traffic Log
Use the decision trail to confirm what is being filtered and whether the routing policy needs adjustment.
Step 4
Expand once the flow is proven
Add more Protected Pages, Smart Links, or stricter rules only after the first route is working predictably.
FAQ
Questions teams ask before rollout.
What does KillBot filter before the landing page loads?
KillBot can filter bot traffic, proxy and VPN traffic, datacenter or hosting traffic, suspicious repeat-IP activity, and other risky sessions before the destination page loads.
Should anti-bot filtering happen on the landing page or the redirect domain?
Use the landing page when the visitor lands directly on the real destination. Use the redirect or tracker domain when the click reaches that layer first. KillBot supports both patterns.
Why does KillBot emphasize visible decision logs for filtering?
Visible logs make anti-bot filtering easier to tune and explain because teams can review the IP, country, ASN, category, reason, and outcome for every decision instead of relying on a hidden score.
Get started
Start with one page, verify the log, then scale the routing.
KillBot is easiest to roll out when you start with one page or one Smart Link, verify the first decisions in Traffic Log, and then expand to more traffic paths.