How to Calculate Ad Spend Wasted on Fake Clicks (With Example)

"How much am I losing to fake clicks?" — if you've asked yourself that without a concrete number, this post gives you a simple formula and a real example to work it out.

The formula

Wasted spend isn't a vague idea. It equals:

Low-quality clicks × average CPC = money burned.

"Low-quality clicks" here means clicks scoring below a safe threshold (usually under 50/100) — bots, VPN/Tor, duplicates, or abnormal velocity.

A worked example

Say in one month you have:

That's about $6,480 a year on clicks that never become customers. This number shocks most advertisers — because it's hidden inside total ad spend, and nobody breaks it out for you.

Notice what the formula is not: it isn't your total ad spend, and it isn't every non-converting click. Plenty of real people click and don't buy for legitimate reasons — they're comparing, they got distracted, the timing was wrong. Those are normal. Wasted spend counts only the clicks that had no chance of converting because there was no human behind them. Keeping that distinction clear stops you from blaming fraud for what is really a landing-page or offer problem.

The 18% figure above is just an illustration. Your real rate could be 5% or it could be 40%, and the only way to know is to score your own traffic rather than guess from an industry average.

How to bring it down

1. Measure first. Score each click's quality so you know what your real "18%" actually is.
2. Block the worst sources. Prioritize Tor > datacenter > VPN > high velocity — the group least likely to be real customers.
3. Exclude in Google Ads and block at the server level for Meta.
4. Recheck after 2 weeks to see if the rate dropped.

Calculate it for your site: run a free audit to estimate your low-quality click rate, or look up a suspicious IP as a sample.

Conclusion

You can't optimize what you haven't measured. Once you know your monthly "money burned," the decision to block or not becomes far clearer.