Case study · Local Service Business

Remodel Me Pros: 61% reduction in cost per lead

How a disciplined Google Ads rebuild — tighter match types, aggressive negative keywords, landing pages matched to intent — cut cost per lead 61% for a remodeling contractor without cutting lead volume.

Remodel Me Pros, a remodeling contractor, was buying leads at a price that quietly ate its margins — the account was spending heavily on clicks that were never going to become jobs. Gobiya rebuilt the Google Ads account around one principle: pay only for intent. Tighter match types, an aggressive negative-keyword program, and landing pages rebuilt to match what each searcher actually wanted cut cost per lead by 61% — while lead volume held.

−61%

cost per lead

Held

lead volume — no drop while costs fell

The challenge: paying full price for the wrong clicks

The account looked busy — spend going out, clicks coming in, leads arriving. The problem was underneath: loose match types let Google expand the ads onto searches that were near the business but not of it, and every one of those clicks cost the same real money as a qualified one. In home services, where a single job is worth thousands, it’s easy for an account like this to look "fine" while burning more than half its budget on searchers who were never going to hire anyone.

The approach: pay for intent, nothing else

The rebuild started with match-type discipline: campaigns restructured so the ads ran against the searches the business actually wanted to win, not Google’s loose interpretation of them. Alongside that, an aggressive negative-keyword program — built and expanded continuously from real search-term data — systematically walled off the DIY searches, the job seekers, the bargain hunters, and the adjacent services the contractor doesn’t offer.

The other half of cost per lead is what happens after the click, so the landing pages were matched to intent rather than pointing everything at one generic page. A searcher looking for a kitchen remodel landed on kitchens; a bathroom searcher landed on bathrooms — with the proof, the photos, and the ask matched to the job they were considering. Same traffic, meaningfully more of it converting.

The results: 61% cheaper leads, none lost

Cost per lead fell 61%. The volume of leads did not fall with it — because the spend that was eliminated had been producing clicks, not customers. The account ended up doing what a well-run local service account should do: turning the same budget into roughly two and a half times the efficiency, with search-term reports clean enough to audit at a glance.

The broader lesson for local service advertisers: before raising budgets, find out what fraction of current spend is buying intent. It’s usually less than anyone expects — and fixing it is the cheapest growth available.

What this engagement proves

  • Loose match types quietly convert ad budget into unqualified clicks — match-type discipline is the first lever, not the last.
  • Negative keywords are a program, not a set-up task: built continuously from real search-term data.
  • Landing pages matched to searcher intent move cost per lead as much as anything inside the ads account.
  • A 61% CPL reduction with flat lead volume means the eliminated spend was never producing customers in the first place.

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