How to tell if your Google Ads traffic is real
Before buying anything, find out whether you have a problem. Most of the useful signal is already sitting in your Google Ads and Analytics accounts, and the checks below cost nothing but an hour. If they all come back clean, you do not need a fraud tool — and any vendor who tells you otherwise is selling, not diagnosing.
1. Read your invalid click credits
Google filters some invalid traffic before it bills you, and issues credits for what it catches after the fact. In Google Ads, add the Invalid clicks and Invalid click rate columns to your campaign view and look at the last 90 days. This is Google grading its own homework, so treat it as a floor rather than a total — but a number that jumps in one campaign or on one keyword tells you where to look.
2. Compare click counts to session counts
Put Google Ads clicks next to Analytics sessions for the same campaign and date range. A gap is normal — people bounce before the tag fires, and tracking is imperfect. A large and widening gap, especially on one campaign, means a meaningful share of clicks never became a real page view.
3. Look at time-on-page distribution, not the average
Averages hide this completely. What you want is the shape: a healthy landing page has sessions scattered across a few seconds to a few minutes. Automation clusters, often tightly, at the very bottom. A spike of hundreds of sessions at under two seconds is not impatient humans.
4. Check the hour-of-day curve
Segment clicks by hour in the advertiser's own timezone. Real demand follows waking hours for the geography you are targeting. A flat line across the night, or a sharp burst at a consistent odd hour, is a scheduling artefact of something automated.
5. Check geography against your targeting
Pull the Locations report, then the user locations rather than the matched locations. Clicks from countries you are not targeting are not necessarily fraud — VPNs and travellers exist — but a concentration from one unexpected region is worth a closer look.
6. Look for repeated IPs and identical device profiles
Google Ads does not show you visitor IPs, so this one has to come from your own server logs or analytics. What you are looking for is the same IP, or the same exact device-and-browser string, appearing many times across a short window against a paid landing page.
7. Reconcile spend with conversions at the keyword level
A keyword that takes a healthy share of spend and produces no conversions over hundreds of clicks is either badly matched or not being clicked by buyers. Both are worth fixing; only one of them is a fraud problem, which is why this check comes last rather than first.
What the results mean
| What you found | What it usually means |
|---|---|
| High invalid click rate, one campaign | Worth investigating that campaign's placements and keywords first |
| Clicks far above sessions | Clicks that never render a page — scripted clients, or a broken tag |
| Sessions clustered under 2 seconds | Automation that loads and leaves |
| Flat overnight click volume | Something running on a schedule, not human demand |
| Spend with no conversions at all | Could be fraud, could be a mismatched keyword — check intent before blaming bots |
If several of these point the same way, you have something worth filtering. If only the last one does, your problem is more likely campaign structure than fraud, and a filtering tool will not fix it.
Running the same checks continuously
The checks above are a snapshot. The reason tooling exists is that doing them weekly, per campaign, by hand does not survive contact with a real workload. TryNoBot scores each visit as it lands and shows the signals behind the score, which is the same diagnosis on a continuous basis — but run the manual pass first, because knowing your own numbers is what lets you judge whether any tool is earning its price.
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