In brief
To investigate repeated clicks from one area or city, start by treating the location as a clue, not a conclusion. A city that appears often in your reports is not automatically fraudulent. It may be a strong market, a dense business area, a shared network zone, or a place where several real users are searching for your offer.
The investigation should focus on whether those clicks behave like real prospects. If the city sends repeated clicks and those users engage, convert, call, or return later, the pattern may be normal. If the city sends repeated clicks with short sessions, no page depth, no form activity, no real calls, and no sales value, the traffic may be suspicious.
The goal is to find out whether the repeated clicks are caused by real demand, campaign settings, location reporting issues, poor targeting, competitor activity, bots, or invalid traffic.
Compare the city against other locations
Start with a simple comparison. Look at the city’s clicks, cost, conversion rate, qualified lead rate, bounce behavior, session depth, and revenue or pipeline value. Then compare those numbers with other cities in the same campaign.
A city with high clicks and strong conversions is not necessarily a problem. It may be one of your best markets. A city with high clicks, high cost, weak engagement, and poor lead quality is more concerning.
Do not judge only by click volume. A large city will naturally generate more activity than a small one. The better question is whether the city is overrepresented in wasted spend compared with its business value.
If the city consumes 30% of spend but produces almost no qualified outcomes, it deserves attention. If it consumes 30% of spend and produces 35% of qualified leads, it may be performing well.
Review campaign settings
Before assuming fraud, check whether the campaign setup explains the pattern. Location settings may be wider than expected. A radius may include nearby areas. The campaign may be targeting people interested in the location, not only people physically located there.
Also check whether the campaign is using Search Partners, Display expansion, Performance Max, broad match, or copied settings from older campaigns. These can all affect where traffic appears to come from and how relevant that traffic is.
If repeated clicks from one city are caused by loose targeting, the fix is campaign cleanup. You may need to tighten location options, add exclusions, separate campaigns by region, narrow keywords, or remove weaker networks.
If the pattern continues after the settings are corrected, then it is worth looking deeper into traffic quality. That is where a structured guide to diagnosing fake leads and bad traffic in Google Ads becomes useful.
Look at behavior after the click
The most important evidence is post-click behavior. Real users usually interact with a website in a way that matches their intent. They may read, scroll, click, compare pages, start a form, tap a phone number, or return later.
Suspicious repeated clicks often look thin. Sessions may last only a few seconds. Users may never leave the landing page. They may not scroll or click. They may repeat several times without moving forward in the funnel.
Look at the difference between that city and your better-performing locations. If good cities produce page depth and actions while the suspicious city produces only bounces, the issue is likely not just geography.
Also check whether the traffic creates bad leads. Fake form submissions, irrelevant messages, unreachable phone numbers, or strange requests can indicate a broader quality issue.
Check timing and repetition
Timing can reveal patterns that location reports hide. Review when the repeated clicks happen. Are they spread naturally throughout the day, or do they come in bursts? Do they happen after campaigns go live? Do they happen during business hours when competitors are active? Do they appear shortly after budget increases?
A normal city pattern usually has variation. Suspicious patterns often feel compressed or repetitive. Many clicks within a short window, followed by weak sessions, should be investigated.
Also check whether the same behavior repeats over several days. A one-day spike may be noise. A recurring pattern from the same area is more meaningful, especially if the traffic quality stays poor.
Do not rely only on IP addresses
IP data is useful, but it is not enough. Repeated clicks may not always come from the same IP. Mobile networks, VPNs, proxies, shared offices, and rotating systems can make the pattern harder to see.
Look beyond IPs. Review devices, browsers, locations, timing, session behavior, and conversion quality. If several different IPs produce the same low-quality pattern from the same area, the issue may still be suspicious.
At the same time, be careful with shared networks. One office building, school, hospital, or coworking space may generate several legitimate clicks that look similar. That is why behavior matters more than any single technical signal.
Example from a regional campaign
A regional advertiser notices repeated clicks from one city. The city is within the service area, but spend is rising and leads are not improving.
The team compares the city with nearby locations. Other cities have lower click volume but better calls and form submissions. The suspicious city has short sessions, very little page depth, and almost no qualified enquiries.
Next, the team checks settings and finds the radius is slightly too broad, but that does not explain everything. After tightening the radius and reviewing keywords, some waste drops. However, a smaller repeated pattern remains during business hours.
The team does not remove the whole city. Instead, it watches the suspicious segment, blocks the clearest repeat offenders, adds negative keywords, and keeps the area open for real users. That prevents overblocking while reducing waste.
Bottom line
To investigate repeated clicks from one area or city, do not start with assumptions. Start with comparison, settings, behavior, timing, and repeat patterns.
A city may repeat because it is valuable, messy, misconfigured, or suspicious. The difference is what the clicks do after they arrive.
If the city produces real engagement and qualified leads, protect it. If it repeatedly drains spend without meaningful behavior, tighten the campaign and use click fraud protection software to block suspicious patterns as precisely as possible.