The Radius and Targeting Decisions Behind Local Ads

Why this matters

Two shops can run the identical ad, with the identical budget, and get very different results purely because of where and to whom that ad is shown. A radius set too wide burns budget reaching people you cannot profitably reach or will not actually serve. A radius set too narrow starves a working ad of the volume it needs to prove itself. Getting the targeting settings right is a separate skill from writing good ad copy, and it is usually the more consequential one, because bad copy in front of the right audience still gets some conversions, but great copy in front of the wrong audience gets none.

Start with your actual service radius, not your aspirational one

The single most common mistake is targeting a radius based on where you would like to expand, rather than where you can profitably and reliably show up today.

• Base the radius on real drive time and existing route density, not a straight-line map circle. A circle on a map ignores traffic patterns, natural barriers, and how thin your existing job density already is at the edges.
• A tighter radius with denser existing coverage nearly always outperforms a wider one with thin coverage, because drive time between jobs eats into the same day's capacity, and a technician spending an hour driving to a job at the radius's edge is an hour not spent on two closer jobs.
• Widen deliberately, not accidentally. If you are trying to grow into a new area, treat that as its own separate, tracked test, rather than quietly expanding the radius on your main campaign and losing the ability to tell which distance band is actually converting.

Layer demographic and behavioral targeting on top of geography, but do not over-narrow

Geography answers "where," but most ad platforms also let you narrow by home age, household income band, homeownership status, or recent search behavior. This layering can sharpen an ad's efficiency significantly, but it is easy to overdo.

• Match the targeting layer to something genuinely predictive of needing your service, not a generic demographic guess. Homeownership status is a strong, relevant filter for most trades that work on homes; a specific income band is a weaker and easier-to-overdo one.
• Each additional targeting filter shrinks the audience the platform can show your ad to. Stack three or four narrow filters together and the remaining audience can become too small for the platform to reliably find, which quietly stalls delivery even though the budget is unspent.
• Start with one or two high-confidence filters, run the ad, and only add more narrowing if the resulting leads are still too broad a fit. Adding filters is easy to reverse; diagnosing why an over-narrowed ad barely spends its budget takes longer.

The trade-off between reach and relevance

Every targeting decision is really a trade-off between how many people see the ad and how well-matched those people are.

• A wider, looser target reaches more people but wastes more of the budget on people who will never become a customer.
• A narrower, sharper target wastes less per impression but needs enough remaining audience size to actually deliver at a useful pace.
• The right balance is found empirically, not guessed up front. Start reasonably tight around your real service area and a genuinely predictive filter or two, watch the actual lead quality and delivery pace, and adjust from there rather than treating the first setting as final.

Seasonal and time-of-day targeting is often more valuable than geographic fine-tuning

Owners spend a lot of effort narrowing the map and comparatively little effort on when the ad shows, even though timing can matter just as much.

• A service with a clear moment of need (something that just failed, an emergency) performs best targeted to show consistently, including nights and weekends, because the need does not wait for business hours.
• A service that is more discretionary or planned (an upgrade, a seasonal tune-up) can be timed to show ahead of the season it serves, rather than spread evenly all year, concentrating budget where intent is naturally highest.
• Check what times your actual booked jobs come from, not just when leads arrive, since a lead that arrives at an odd hour but converts well is a signal to keep targeting that window, not to assume it is off-hours noise.

A simple targeting checklist before launching or revisiting a local ad

• Radius reflects real, profitable drive time and existing job density, not an aspirational circle
• Any demographic or behavioral filter is genuinely predictive of needing the service, not a generic guess
• No more than one or two narrowing filters stacked at once, at least to start
• A wider "growth" radius, if used, is tracked as its own separate test
• Timing matches the nature of the service (urgent needs shown around the clock, planned or seasonal needs concentrated ahead of demand)

The mental model to keep

Targeting is not a settings screen you fill in once and forget, it is the lever that decides whether good ad copy ever reaches someone it can actually convert. Get the radius and the layered filters roughly right, watch the real lead quality that comes back, and adjust deliberately. A modest, well-targeted budget consistently outperforms a larger, loosely targeted one aimed at everyone within driving distance.

References

• Federal Trade Commission, guidance on targeted advertising disclosures and consumer data use
• U.S. Small Business Administration, guidance on defining a service area for local advertising
• See related: Local Search Visibility, the Fundamentals; Writing an Ad That Attracts the Right Customer, Not Just Any Customer