Why This Matters to You

If you run an ad network, you already know this pain: money flowing into traffic that never converts. Bots, click farms, proxies — all that “noise” in the system doesn’t just distort reports, it directly eats into your budget and erodes advertiser trust.

Post-bid filtering helps… but only partially. Refunds mean negotiations, back-and-forth emails, and wasted time. And the money? It’s already spent.

Pre-bid is a different approach – a filter standing at the entrance, blocking bad traffic before it even gets in.

Post-Bid vs. Pre-Bid: What It Means for a Network

Post-bid: You analyze traffic after buying clicks or impressions. If you find fraud, you request a refund. Sometimes you get it, sometimes you don’t.

Pre-bid: You check traffic before bidding. Bad requests never enter the auction.

The difference is simple:

  • Post-bid = fixing a hole in the ship when the water is already inside.
  • Pre-bid = closing the hatch before the water gets in.


Why This Is Critical for Ad Networks

  • Margins under pressure – You have commitments to advertisers, and every percent of IVT eats into profit.
  • Reputation – In this industry, it takes years to build and a single bad report to lose.
  • Operational costs – Fewer refunds mean fewer disputes with partners.
  • Optimization speed – Clean data lets you scale winning campaigns faster.


How It Works in Practice

In an RTB auction, you have 100–150 milliseconds to decide whether to bid.

In that time, our system:

  • Matches IP, ASN, User-Agent, and device fingerprint against billions of historical fraud records.
  • Checks GEO-IP consistency.
  • Evaluates behavioral risk patterns.
  • Assigns a score and returns a decision: bid or reject.

The secret is in the database — updated in real time and already “knowing” which traffic to let in and which to block.


What Pre-Bid Filtering Delivers in Numbers

From real ad network integrations:

  • 70–85% IVT reduction in the first month.
  • 20–30% CR increase from cleaner traffic.
  • Refunds and advertiser disputes cut nearly to zero.


Real-World Example

A network integrated pre-bid ASN filtering, excluding mobile proxies and data centers.

In just 3 weeks:

  • CR increased by 24%.
  • Complaints about invalid signups dropped 4x.
  • The advertiser renewed their contract for another year.


Why We’re Confident in Our Solution

At Kaminari Click, we don’t just block bots — we:

  • Process 460+ million checks per month.
  • Update fraud databases in real time.
  • Give networks the tools to customize filters for specific verticals and advertiser requirements.
  • Integrate seamlessly into RTB flows without slowing down auctions.


Bottom Line

Pre-bid filtering isn’t an optional “nice-to-have.” It’s your primary defense for protecting budgets and maintaining advertiser trust.

Post-bid fixes the damage. Pre-bid prevents it.

If you’re ready to stop patching leaks and start running on clean data from the first click – book a demo and we’ll show you how to integrate pre-bid filtering into your network.