Geographic targeting mistakes that waste half your budget

Location settings feel like a solved problem. You typed your city in during setup and moved on. The defaults underneath that choice are where the money goes.

Is it really half my budget?

No, and I want to deal with that before anything else, because the number in the title is the kind of claim this library exists to argue against.

Nobody has measured the share of local ad budgets lost to geography, and no study with a disclosed sample and method exists. The figure gets quoted anyway, in the same way that a local pack click-through-rate table gets quoted: confidently, with an attribution that dissolves when you follow it. Three of the four local pack figure sets in wide circulation trace to studies that do not exist or to a self-described meta-analysis with no sample size, and the pattern in paid search is the same.

What is true is narrower and more useful. In the local accounts I open, geographic waste is usually the largest single removable pool, it is the cheapest to remove, and you can measure yours exactly using the location report in your own account. That report is real data about you rather than an average of somebody else.

So the honest version of the headline is: it might be half, it might be a tenth, and you can find out this afternoon. Anyone who tells you the number before looking at your account is quoting a blog.

What is the presence versus interest setting?

Google offers two ways to interpret a location target, and the default is the looser one.

Presence or interest shows your ads to people in your target area and to people anywhere who show interest in it. Somebody in another state researching a move. A tourist planning a trip. Somebody who typed your city name once. All eligible.

Presence shows your ads only to people who are in or regularly in the area.

For a local service business, presence is almost always correct. You cannot serve somebody in another state and you should not pay to talk to them.

The same setting has an exclusion side, and it matters just as much. Exclude by presence, so you are not blocking people simply because they mentioned a city you do not serve.

Change this one setting in every campaign before you touch anything else in the account.

What does the waste actually cost?

Do the arithmetic on your own numbers rather than on a headline.

Price the clicks. LocaliQ, which publishes annual search advertising benchmarks under the WordStream name, puts the 2026 average cost per click at $8.33 for Home and Home Improvement, $8.00 for Dentists, $4.62 for Beauty and Personal Care and $5.42 across all industries. Those are medians across a large campaign sample, and LocaliQ sells advertising management, so treat them as vendor research and a starting estimate.

Count the clicks. A $3,000 monthly budget in home services at $8.33 buys about 360 clicks (derived).

Pull the location report and find the share. Say it shows one in five clicks came from cities you do not serve. That is 72 clicks (derived) and $600 a month (derived), which is $7,200 a year (derived).

Then price the second cost, which is bigger. Those 72 clicks were not just wasted. They were also fed to Google's bidding as examples of the traffic you wanted. Automated bidding learns from who clicks and who converts, and a fifth of its training data was people who could never buy. That distortion persists after you fix the setting, and it takes weeks of clean data to wash out.

Run those four lines with your own budget, your own category cost per click and your own location report. The output is a real number for your account rather than a claim about accounts in general.

How wide should my radius actually be?

As wide as you will genuinely send a truck on a Tuesday in traffic, and no wider.

Radius targeting feels precise because it draws a circle. Circles are a poor model of a real service area, especially here. In the Bay Area, twelve miles can be twenty minutes or an hour and ten depending on which side of a bridge you are on. A circle around your shop includes places you will never profitably serve and excludes places along a freeway that are easy.

Target cities, counties, and zip codes instead of drawing a circle, then remove the ones you do not want. It is more work once and more accurate forever.

There is an organic reason to think in cities rather than circles too. Whitespark's 2026 Local Search Ranking Factors report, in which 47 local search experts scored 187 factors, places proximity of your address to the point of search second among local pack factors and a physical address in the city of search fourth. Grade that honestly: it is expert opinion rather than test data, and Darren Shaw who runs the survey says so himself. But it points the same direction as the paid setting. Geography is not a filter you apply to your marketing. In local search it is most of the ranking.

Then check your location report monthly. Google reports where the people who clicked actually were. Owners are consistently surprised by this report, and it is the fastest way to find geography you never intended to buy.

For businesses with a wide territory, the fix is often on the website rather than in the account. If a whole city produces clicks and no calls, you may simply have nothing on your site that speaks to it, and ranking for a service you offer but never wrote a page about is the same problem in geographic form.

Why does the wrong geography cost more than it looks?

Because it damages three things at once.

It spends money on people who cannot buy, which is the obvious cost.

It teaches the bidding algorithm the wrong lesson, which is the cost described in the arithmetic above.

And it makes every other number in the account unreadable. Your conversion rate looks bad, your cost per lead looks high, and you start fixing the ad copy or the landing page when the actual problem was a checkbox. Chasing the wrong cause for a quarter costs more than the wasted clicks did.

There is a related failure that looks identical in reports. Correct geography, wrong destination. If the page you send people to does not name their city or answer their question, you get the same flat conversion rate, and ads pointed at a page that cannot carry them lose money quickly regardless of how clean the targeting is. Paid traffic amplifies what the destination already does. Perfect targeting into a weak page just delivers the right people to the wrong experience, faster.

What does the location report actually prove?

Less than the interface implies, and knowing the limit keeps you from overcorrecting.

Google's geographic reporting gives you two different views and people read them as one. Matched location is the target that made the ad eligible, which can be a city named in the search rather than a place the person was. User location is Google's estimate of where the person actually was. Those two columns disagree constantly, and the disagreement is the whole subject of this article. Read user location when you are hunting waste. Read matched location when you are working out which of your targets is doing the work.

The limit worth stating plainly: you cannot audit Google's location inference. It is derived from signals Google does not fully disclose, it is an estimate rather than a fact, and a share of it will be wrong. Somebody on a corporate network, on a VPN, or on a phone with location services off is a coin flip. Nobody publishes the error rate.

That does not make the report useless. It makes it directional evidence about your own account rather than proof about individual clicks, which is the same posture the honest parts of local search reporting take generally. Google exposes no local pack position dimension either, and every published table claiming to convert local rank into click share traces to a lab test on five San Francisco desktop results pages from 2018 or to studies that do not exist. The discipline is the same in both cases: measure the movement in your own account before and after a change, and do not import a number from somebody else's.

So when the location report says a fifth of your spend went to cities you do not serve, treat that as a strong signal worth acting on, not as a precise dollar figure to put in a report. Exclude the locations, wait a month, and compare leads rather than clicks.

What about the people just outside my area?

Decide deliberately rather than by accident.

Some businesses genuinely want a halo. If you will take a larger job further out but not a small one, express that in the campaign structure. Run a separate campaign for the outer ring with a lower bid, different copy naming a minimum job size, and its own budget. Then you can see whether the outer ring pays for itself.

What does not work is a wide circle with one message and one bid. It blends two different economics into one average and you cannot read either.

Bid adjustments by location help once you have enough conversion data to justify them. Most small accounts do not, so start with hard inclusion and exclusion instead. Adjustments are a refinement, not a starting point.

If you want to stay in front of people who visited but were outside your zone, that is a remarketing question, and remarketing behaves differently at low traffic than the tactic usually promises.

What to do this week

Open every campaign, go to the location settings, and change the target option to presence and the exclusion option to presence. This is the highest return two minutes in the account.

Replace radius targets with named cities, counties, or zip codes that match where you actually work. Remove the ones you added because they were nearby on the map.

Pull the location report for the last ninety days and sort by cost. Anywhere you spent real money and got nothing goes on the exclusion list today. Write down the total you spent outside your service area, because that is your version of the number in this article's title.

Set an ad schedule that matches when you answer the phone, since hours and geography waste money the same way.

None of this requires an agency, and doing it yourself is realistic if you understand what managing ads yourself takes week to week.

Questions about where your ads are showing?

Email me at eric@seod.com with the cities you actually serve and a screenshot of your current location settings, including the target and exclude options. I will tell you exactly what to change and which locations I would exclude outright.

That is a five-minute answer and it is usually the cheapest fix available in a local account. You keep the recommendations either way.

Or keep reading more on paid search for local businesses.