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AI ad audit · Protection

A d p a y p r o t e c t i o n .

When the audit catches malicious traffic, we build it into an exclusion audience and ask Google and Meta to stop targeting it. Your next dollar goes to real buyers.

It compounds. The more bad profiles we feed the audience, the more budget it protects.

Negative audience BUILDING
Meta · Google Ads Last analysis 2h ago
Connected · 2 websites acmebrands.com Meta + Google shop.acmebrands.co Pixel active
Invalid traffic blocked
Bot detection 1,240
Zero-second click 610
Out of geo 380
Platform spoofing 210
Invalid ad spend excluded $3,120

We touch only paid-channel traffic

Paid only

Self-identified bots, no overblocking

Blatant fraud

Where exclusions hold their targeting

New campaigns

Stronger as the audience fills

Compounds

How it fits together

One audit. Two ways to win.

Protection is built on the same foundation as recovery. We take the IAB and MRC standards and turn them into live metrics, then use what we find two ways.

Outcome 1

Recover credits

We file refund claims with the platforms for the invalid spend the audit already found.

Ad credit recovery
Outcome 2

Build negative audiences

We turn the same findings into exclusion audiences that stop the waste before it is ever billed.

The foundation

The audit. IAB and MRC standards, turned into live metrics and algorithms.

Scored on every click, from a 1st-party pixel on your own site.

How protection works

Flag it once. Exclude it for good.

A bad actor has to bill you once before we can see it. Most come back within days, so excluding it now protects every dollar after.

Yes, you pay for it once. We cannot exclude what we have not seen. The win is your next dollar, and the one after that.
  1. Step 01

    The audit flags the traffic

    Every click is scored against the standard. The malicious profiles are pulled out.

  2. Step 02

    We build an exclusion audience

    Those profiles are grouped into a negative audience tied to your account.

  3. Step 03

    We push it to Google and Meta

    We ask the platforms to stop serving your ads to that audience, full stop.

  4. Step 04

    The algorithm learns what to omit

    It stops chasing lookalikes of bots and profiles outside your targeting, so it spends on real buyers.

  5. Step 05

    Your next dollar is protected

    Spend flows to people who can actually convert, and it compounds as the audience grows.

Apply it right

Get the most out of protection.

A few practical rules. They are how the audience actually moves the numbers.

  • 01

    Apply to new campaigns

    Adding an audience to a live campaign tends to reset its targeting and learning. Start the audience on new campaigns so exclusions hold from day one.

  • 02

    Give it time to compound

    Audiences only bite once a few thousand bad profiles feed them. The payoff builds over the mid to long term, so turn it on and let it work.

  • 03

    Teach the algorithm

    Beyond blocking, we show the platform AI what to omit, so it stops building lookalikes of bots and profiles that sit outside your targeting.

Will it hurt performance?

Benign by design. We under-block on purpose.

More than half of web traffic is bots, but we do not touch most of it. We only act on traffic that comes through your paid channels, the spend that hurts your budget, and only on the blatant fraud, like self-identified bots.

We would rather miss a borderline profile than cut a real buyer, so we deliberately err on the side of letting traffic through, and we suggest applying to new campaigns only.

What we actually block
  • All web traffic 50%+ is bots
  • Your paid channels only the spend that hurts you
  • Blatant fraud only self-identified bots
  • Excluded what we actually block
A control
A control
B protected
B protected

The two A cells should match, and the two B cells should match. The gap within each pair is your natural noise. The gap between A and B is the real effect.

Don't take our word for it

Prove it with an A/A/B/B test.

The simplest check is an A/B test: run one campaign with protection and one without, then compare.

Better still, run A/A/B/B: two identical control campaigns and two identical protected ones. The two controls (and the two protected) measure the noise you would see anyway. If the controls track each other, the protected pair tracks each other, and the protected pair beats the controls, the lift is real, not luck.

Pricing

Included with your ad audit.

Protection runs on the same audit you already get. There is no extra fee to exclude bad traffic and protect your next dollar.

FAQ

Questions, answered straight.

No. We only act on paid-channel traffic and only on blatant fraud, like self-identified bots. We deliberately under-block so we never cut real buyers, and we suggest applying to new campaigns only.

Protect your next dollar.

Turn on protection, apply it to your next campaigns, and let the exclusion audience compound. Recovery wins back the last dollar; protection guards the next one.

  • Included with the audit
  • Paid-channel fraud only
  • Compounds over time