๐Ÿ”ง Case Study ยท HVAC Services

From "Below Average" ad strength to 54 booked service calls in 30 days.

Q3 2024 ยท 60-day optimization ยท Regional residential HVAC

The Challenge

A regional heating & cooling company was spending consistently on Google Ads but couldn't answer the only question that mattered: which keywords actually rang the phone. Ad strength scores sat at "Below Average" across most ad groups. Average CPC had crept up to $2.76. Conversion rate was stuck around 10%, and there was no offline conversion tracking โ€” so the team was making bid decisions on form fills while the real business came in through inbound calls they couldn't attribute back to a keyword.

The result was a Google Ads account optimizing toward the wrong signal entirely. Worse, with mobile traffic representing the bulk of search demand for emergency HVAC services, the existing desktop-first landing pages were leaking high-intent visitors at the click stage.

The Solution

Rebuilt every Responsive Search Ad to hit "Excellent" ad strength โ€” proper headline variety, dynamic keyword insertion where it added intent, and pinned messaging on emergency response time. Added search themes to Performance Max to give the algorithm explicit intent signals around "AC not blowing cold near me," "furnace not igniting," and other long-tail emergency queries the broad-match logic was missing.

Deployed CallRail with offline conversion import back into Google Ads. Every phone call could now be traced back to the keyword, ad group, and even ad creative that drove it. Rebuilt the mobile landing experience around a single click-to-call CTA above the fold, with form fills as a secondary path โ€” turning the page into a phone-first conversion engine.

"We finally know what's actually working. Before this, we were just guessing โ€” now we can see every call traced back to a keyword."
โ€” Operations Lead, Regional HVAC Company

The Impact

Within 30 days post-launch, the account was booking 54 conversions per month, with 92% of those conversions coming from mobile โ€” a complete reversal of the previous traffic-to-conversion mismatch. Cost per conversion dropped 41% as the algorithm finally had clean offline signal to optimize against. Ad strength scores moved to "Excellent" across the core search campaigns, dropping CPCs by an average of $0.78.

Beyond the immediate numbers, the team now had a full attribution loop โ€” every booked job traced to its source โ€” turning paid search from a black-box expense into a forecastable lead engine.

54
Conversions / 30 days
92%
Mobile Conversions
41%
Lower Cost / Conv
$0.78
Avg CPC Drop

Monthly conversions โ€” pre vs. post optimization

Booked service calls per month, attributable to paid search
60 40 20 0 14 18 16 22 38 54 M-3 M-2 M-1 M+1 M+2 M+3

The takeaway: in service-based local businesses, the real conversion is the phone call โ€” and an ad account that can't see that conversion will always optimize toward the wrong audience. CallRail + offline conversion import is non-negotiable for HVAC, plumbing, electrical, and any vertical where the sale happens by phone.

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