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Case study · 1st Choice Plumbing, Air & Insulation · HVAC · Phoenix + Prescott, AZ

Two shops, one state, four thousand feet apart. The ad account thought they had the same weather

Cost per booked visit
−22 to −28%
Lower is better
Two quarters against the two before · Call tracking
Prescott winter bookings
1.9×
Higher is better
November to February against the winter before · Client CRM
Spend outside either service area
−48%
Lower is better
Two quarters against the two before · Google Ads
Heating share of Prescott spend
+31 points
Higher is better
November to February against the winter before · Google Ads
1st Choice Plumbing, Air & Insulation logo
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At a glance

About a quarter off the cost of a booked visit, and Prescott stopped disappearing every winter.

Cost per booked visit: Two quarters against the two before · Call tracking · All four results

Company
1st Choice Plumbing, Air & Insulation
Trades
Plumbing, Air conditioning, Insulation
Market
Phoenix + Prescott, AZ
What we run
  • Google Ads
  • Local Services Ads
  • Call tracking
  • Landing pages
Window
Two quarters against the two before them
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Who this is

1st Choice sells plumbing, air conditioning and insulation out of two shops: Phoenix and Prescott. About a hundred miles apart on the map, and about four thousand feet apart vertically.

That second number is the one that matters. Phoenix sits around eleven hundred feet and does not freeze. Prescott sits around fifty-four hundred, gets snow most winters, and has a heating season that Phoenix simply does not have.

One account, two calendars

The advertising did not know about the elevation. One set of campaigns covered both shops, which means one budget, one seasonal shape, and one idea of what people are searching for in January.

In Phoenix in January, people are searching for very little. So the account throttled down for winter — correctly, for Phoenix. Prescott's heating season was throttled down with it, in the months it needed the money most.

The reverse happened in July. Phoenix at capacity pulled the budget, and Prescott — where July is a perfectly normal working month — got whatever was left.

Prescott demand across the year Booked visits in the Prescott area by month, as an index. Client CRM, the twelve months before the split. The band marks Prescott's strongest stretch, which is also when the shared budget was throttled for Phoenix.
Month Index
January 84
February 79
March 58
April 44
May 51
June 62
July 71
August 68
September 55
October 61
November 88
December 93

The money that went nowhere

Before any of the seasonal work, there was a simpler problem. A hundred miles of mostly empty Arizona separates the two shops, and the combined targeting covered a good deal of it.

Black Canyon City, Cordes Lakes, the stretch of the I-17 in between. Real places with real households, and nearly an hour from either shop. The account had been buying them for years because they fall inside a radius drawn around two points at once.

Spend by distance from the nearest shop Paid search spend by drive time from whichever shop is closer, each series indexed to its own largest bar. Google Ads, matched quarters either side of the split.
Before After
Under 25 minutes 52 100
25 to 45 minutes 71 66
Over 45 minutes 100 14

What we did not expect

We assumed the Prescott side would need a smaller version of the Phoenix campaigns. It needed a different one.

Prescott is a much older market in the demographic sense, with a housing stock full of systems that predate anything being sold in a Phoenix suburb. The searches are not the same searches, the objections are not the same objections, and the Phoenix landing page — written for a metro of newer builds — was answering questions the Prescott caller had not asked.

That page had been live for two years. It ranked. It just was not talking to anybody in Yavapai County.

What came back

Prescott stopped vanishing every November. The cost per booked visit came down across both locations, and most of that is the money no longer going to the hundred miles in between.

The insulation side is where this gets genuinely interesting, and it is also where we are least confident. Insulation sells for different reasons at two different elevations — heat exclusion in Phoenix, heat retention in Prescott — and those are two different arguments that had been sharing one advertisement.

Prescott: enquiry to sold job, November to February Indexed to 100 Prescott winter enquiries in the earlier period. Call tracking into the client's CRM, matched winters.
Before After
Enquiries 100 176
Booked visits 54 103
Jobs sold 27 58

The overlap has to be decided by a person

Two shops always produce a middle, and the middle cannot be left to the platform. If both locations are eligible for the same household, the same company enters the same auction twice and pays the difference for the privilege.

We assigned every contested area to one shop on drive time, wrote it down, and stopped revisiting it. It is not a sophisticated decision. It is just one that has to be made explicitly, because the default is to make it badly.

Results

Cost per booked visit
−22 to −28%
Lower is better
Two quarters against the two before · Call tracking
Prescott winter bookings
1.9×
Higher is better
November to February against the winter before · Client CRM
Spend outside either service area
−48%
Lower is better
Two quarters against the two before · Google Ads
Heating share of Prescott spend
+31 points
Higher is better
November to February against the winter before · Google Ads

What this does not prove

  • The company does not publish a licence number in its main footer, so unlike the other cases here we cannot point at a registry entry as the cheapest proof this is a real contractor. We have asked.
  • Prescott is the smaller of the two markets by some distance, so its percentages move on a small base.
  • A mild Prescott winter and a hard one are very different years, and the two winters in this comparison were not equivalent. Some of the improvement is weather.
  • Cutting the corridor between the shops improved the cost per booked visit and also removed customers. We have not shown that the corridor is unprofitable at every budget, only that it was the worst use of this one.
  • The insulation split by elevation is the newest part of this work and has the least evidence behind it. We believe it and we cannot yet prove it.

What to take from this

  1. Check the elevation before you copy the campaign Two locations in one state can be on completely different heating calendars, and a budget shaped for one of them starves the other in its best months.
  2. Give each location its own seasonal curve A shared budget throttles by the dominant market's calendar, so the smaller market is cut back in exactly the months it should be scaling.
  3. Do not let a radius bridge the gap between two shops The empty ground between locations falls inside both circles and gets bought twice, at a drive time neither shop can service profitably.
  4. Write the second location its own landing page An older market with older housing stock asks different questions, and a page that ranks is not the same thing as a page that answers them.

Questions people ask about this one

Can two locations share one advertising account?
They can share an account. They should not share a budget, a service area or a seasonal schedule. The account is an administrative container; the budget is a decision about which market gets to spend in which month. Merging those two things is what causes the smaller location to be quietly defunded during its own peak season.
How do you decide who owns the area between two shops?
On drive time from each address, not on distance or on postcode. Then you write it down and stop changing it. The overlap is not a difficult judgement, but it has to be an explicit one, because the default behaviour is for both locations to bid on the same household and for you to pay the difference.
Is a hundred miles too far apart for one company?
Not at all — it is two businesses that happen to share an owner, a brand and a back office. The mistake is treating them as one business with a wide radius. Nearly an hour of empty road separates the two service areas here, and the households living in it are not profitably reachable from either shop.
Does insulation really sell differently at different elevations?
We believe so, and this is the part of the case with the least evidence behind it. In Phoenix the argument is keeping heat out of a house in July. In Prescott it is keeping heat in during a winter with snow on the ground. Same product, opposite pitch, and the single advertisement they had been sharing could only make one of those arguments well.

More cases

All cases
  • Cost per sold job
    −30 to −35%
    90 days against the 90 before · Call tracking

    Forty-seven cities of coverage, one shop to drive from.

  • Rescue Air

    Dallas, TX

    Plumbing jobs sold from search
    2.0 to 2.2×
    Two quarters against the two before · Client CRM

    A large heating and cooling base that did not know the same company did plumbing.

  • Barbosa

    Dallas, TX

    Booked calls after 6pm
    +25 to +30%
    120 days against the 120 before · Call tracking

    A phone that rang until ten, and a budget that ran out by five.

  • Reeis

    Phoenix, AZ

    Cost per sold electrical job
    −31 to −37%
    90 days against the 90 before · Call tracking

    Electrical priced and measured as if it were a smaller version of air conditioning.

  • Way Cool

    Phoenix, AZ

    Audits booked in the off-season
    2.3 to 2.5×
    December–February against the year before · Client CRM

    A dead Phoenix winter, and a whole-home audit nobody was being told about.

  • Cody & Sons

    Dallas + Plano, TX

    Maintenance plan signups
    +38 to +45%
    Two quarters against the two before · Client CRM

    A plan with a published price, sold nowhere except at the kitchen table.

  • A.P.E.S.

    Phoenix, AZ

    Septic inspections booked
    3.2 to 3.6×
    150 days against the 150 before · Client CRM

    A service almost nobody else in the metro sells, buried under generic plumbing terms.

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