Advertising3 minJune 25, 2026

Click fraud and empty leads: investigate before buying protection

MikhailUpdated Oct 16, 2026

No sales does not prove deliberate clicking. The ad platform, website and staff observe different stages. Separate clicks, visits, enquiries and billing corrections before blaming competitors or assuming a filter saves money.

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01Define what was observed

A click is recorded by the ad system. A visit is measured on the site where measurement works. An enquiry is an accepted contact and request. A sale is confirmed by the business. A short visit is not automatically a bot. An unsuitable customer is not necessarily fraudulent. Blocking a form after arrival does not itself stop charging for the earlier click.

02Reconcile a fictional example

There are 100 clicks, 70 measured visits and 12 forms: five suitable, three outside scope, two repeated and two tests. These are teaching figures. You cannot conclude that 95 clicks were stolen. Remove repeats and tests, inspect search intent, measurement and delivery. Missing visits have multiple possible explanations. Use comparable time-stamped evidence rather than totals alone.

03Separate Google’s decisions from website actions

Google applies its own invalid-traffic classification. Detected invalid activity may be excluded before billing; later detection may lead to a credit when applicable. See the official explanation. A website can validate input, detect repeats and control uploaded events. Its rejection is not Google’s billing decision. The invalid-click count does not prove an external tool saved that amount.

04Investigate patterns and false positives

Review changes by time, query, placement, geography and enquiry quality alongside campaign changes and service availability. A broken form or misleading offer may explain the problem. An IP address is not one person; multiple genuine customers can share it. Broad exclusions can block real demand. Preserve necessary evidence and review uncertain cases rather than making accusations from one signal.

05Use a checkable investigation order

Save period and reports, inspect settings and searches, test the phone journey and reconcile forms. Check which goals influence optimisation and whether events duplicate. If evidence supports suspicion, prepare a platform support request. Do not promise refunds before a decision. Learning-data exclusions are not a mechanism for cancelling advertising charges.

06Evaluate the actual intervention

Compare confirmed enquiries, repeat rates, upload failures and false blocks. A prevented submission, a withheld conversion and a billing credit are different outcomes. Record simultaneous changes before attributing all benefit to a filter. UZNEO can review advertising, measurement and lead quality. Send the period, reports, anonymised examples and change history. Agree evidenced issues and possible measures; see the conversion guide.

Summary

Start with definitions and evidence. Distinguish unsuitable demand, technical failure, repetition and suspicious activity; verify money adjustments separately in the platform.

Anti-Fraud