The honest answer first, because most articles on this topic bury it: you cannot stop a fraudulent click from happening. By the time you see it, the click has already registered and the cost has already been charged. What you actually have control over is how fast you detect a pattern of fake clicks, and whether you stop paying that same source a second, third and fortieth time. That's a genuinely solvable problem — this is how to solve it.
What "fake clicks" usually means in practice
It's rarely one dramatic event. It's more often one of these, in roughly descending order of how often each actually turns out to be the cause:
- Automated bot traffic — scripts that visit ad landing pages, sometimes to exhaust a competitor's daily budget, sometimes as a side effect of scraping or scanning tools that follow ad links indiscriminately.
- Click farms — low-cost human click-through services, harder to distinguish from real traffic because a real person is genuinely clicking, just with no intent to buy.
- Competitor clicking — less common than advertisers assume, but real in high-CPC, low-competitor-count categories.
- Accidental repeat clicks — a single real, uninterested user clicking your ad multiple times across sessions. Not fraud, but it inflates cost the same way.
These need different responses, which is why "stop fake clicks" as a single instruction doesn't really work. Detection has to tell you which one you're looking at.
Google's own click fraud protection — what it does and doesn't cover
Google runs automated filtering on every ad click before it's even billed, and states publicly that it removes invalid clicks and issues credits when it identifies fraud after the fact. This is real and it does catch a meaningful share of obvious bot traffic. It is not, however, comprehensive — Google's own transparency reporting acknowledges that invalid traffic exists across the industry at rates advertisers should account for, and its filtering is necessarily conservative: it would rather under-flag than risk wrongly blocking real customers. That gap is exactly the space where account-level protection has a job to do.
Layer 1 — make the click itself harder to fake
Before you get to detecting suspicious accounts or IPs, the cheapest and fastest layer is making your own landing page and form resistant to the crudest automation:
- A honeypot field — a form field hidden from real visitors with CSS but visible to a script filling every field it finds. Anything that fills it is not a person.
- A timing check — a form submitted in under a second or two of the page loading almost never represents a person reading it first.
- Basic bot user-agent detection — filtering out the well-known signatures of scraping tools and headless browsers.
- Per-IP rate limiting — capping how many submissions one IP address can make in a short window, since a real prospect does not submit your enquiry form six times in a minute.
None of this stops the click Google Ads charges you for. It stops the fake click from becoming a fake lead that pollutes your pipeline and, worse, gets reported back to Google as a real conversion — which is a mistake that actively teaches the algorithm to find you more bad traffic.
Layer 2 — score traffic quality instead of guessing
Once obvious automation is filtered, the harder cases are the ones that look almost like real visits. A useful approach is scoring each visit or lead on a set of concrete signals — time on page before form submission, whether the same IP has submitted before, whether the device and browser fingerprint looks automated, whether the phone number or email pattern matches known throwaway formats — and surfacing that score in plain language rather than as an opaque number. "This lead submitted in 0.4 seconds from an IP that has submitted 11 times today" is something a sales team can act on immediately. A bare score of 87 is not.
Layer 3 — stop paying the same source again
This is the layer that actually reduces spend, and it's the one people mean when they ask how to "stop" fake clicks, even though what it really does is stop continuing to pay a source once it's been identified. Google Ads supports IP exclusions at the campaign or account level — once you've identified an IP address or range generating clearly fraudulent traffic, you can exclude it from ever being served your ads again.
The mechanics and the tradeoffs of doing this well — account-level versus campaign-level exclusion, and why you should review before pushing rather than auto-blocking on a single suspicious visit — are covered in full in Google Ads IP exclusion for bot traffic.
How to tell whether you actually have a fraud problem
Before building out protection, it's worth confirming there's a real problem rather than normal variance. Two checks are enough for a first pass:
- Look at click-through rate against industry norms for your category. An unusually high CTR combined with an unusually low conversion rate is a common fingerprint of low-quality or automated clicks — real prospects who click rarely do so at a dramatically higher rate than everyone else in the same category without also converting at a reasonable rate.
- Segment conversion rate by device and time of day. A spike of form submissions at 3 a.m. from a category where your real customers are awake between 9 and 9 is a stronger signal than almost anything else, and costs nothing to check — it's already in your existing Google Ads and analytics reporting.
If both checks come back unremarkable, the honest conclusion may be that your CTR and lead quality are simply what they are, and the fix is elsewhere — a weak landing page or a mismatched keyword, not fraud. Chasing fraud protection when the real issue is offer quality wastes effort that would be better spent testing the landing page.
The mistake that costs more than the fraud itself
If a fraudulent or bot-generated lead gets marked as a conversion and reported back to Google, you have told the bidding algorithm that a bot is your ideal customer. It will optimise toward finding you more traffic that looks exactly like it — while your cost per lead looks great and your actual sales quietly fall. This is the single most expensive mistake in this entire area, and it's avoidable entirely by filtering suspicious traffic before anything gets uploaded as a conversion, not after.
What this will not fix
Protection at every layer described here reduces wasted spend and stops the same bad source hitting you repeatedly. It does not retroactively refund clicks that have already been charged and filtered out by Google's own system, and it will not eliminate invalid traffic entirely — no advertiser, however protected, gets to zero. The realistic goal is catching the sources that are costing you the most, quickly, and making sure your own conversion data never trains Google's algorithm to find you more of them.
Where to start
If you're setting this up for the first time, start with Layer 1 — it's free, it's fast, and it stops the most obvious junk before it ever reaches your pipeline or your ad account's conversion data. Claudphic Ads includes all three layers, off by default so you choose what to turn on per landing page, with full detail on the pricing page on which plan includes which layer.