Google and Meta Ads for Home Services

There is no universal minimum, but below $1,500/month in ad spend most home-services categories don't generate enough data to optimize bids meaningfully. For high-ticket trades like HVAC replacement or full remodels, $3,000-$5,000/month is a more realistic floor to achieve statistical significance. We model your specific trade and metro before recommending a figure.

Standard Google Search Ads charge per click and appear above organic results with a text headline. Local Services Ads (LSAs) charge per lead, appear even higher and carry a Google Guarantee or Google Screened badge. LSAs require a background check and license verification but typically deliver lower cost per lead for eligible trades. We manage both formats and allocate budget across them based on your eligibility and cost data.

They serve different stages of the buying cycle. Google Search captures homeowners already looking to hire; Meta Ads reaches people who haven't started searching yet but match the demographic and behavioral profile of your best customers. For trades with long consideration cycles — kitchen remodels, room additions, solar — Meta's retargeting sequences can shorten the decision timeline significantly. We recommend starting with Google Search and adding Meta once the conversion baseline is established.

For Google Search, leads typically start within the first week for in-demand trades in competitive metros, assuming the landing page converts. For Meta Ads, the pixel needs 50 conversion events per ad set before the algorithm exits the learning phase — usually two to four weeks. We set expectations by trade and city before launch, not after.

The cost is entirely wasted. A NextPhone study of 130,175 US home-services calls found that 74% go unanswered. For every four calls your ads generate, only one is typically captured. That's why our paid media engagements include a review of your capture infrastructure — whether that's a receptionist, an answering service or an AI call handler — before we scale spend.

Through a conversion tracking stack that goes beyond click data: call tracking with dynamic number insertion attributed to the keyword level, form submission events wired to GA4, and where possible, CRM integration to close the loop from lead to booked job. We build this stack in Week 2 of the engagement so every optimization decision is backed by lead data, not proxy metrics.

Technically yes, but it's rarely the right structure. A single campaign targeting multiple metros mixes cost-per-click benchmarks, search volume and conversion rates, making bid optimization nearly impossible. We build separate campaigns per city so each market competes on its own data and budget isn't reallocated from a cheaper market to an expensive one without you seeing it happen.

Before-and-after photo and video consistently outperforms stock imagery. Specific project details — «23-day kitchen remodel in Phoenix, $38k» — outperform generic service claims. Testimonials with the customer's city and project type outperform anonymous reviews. We produce a creative brief and either source assets from your project portfolio or guide you on what to photograph.

Yes, within the applicable privacy framework. In the US, CCPA applies to California residents and sets requirements around disclosure and opt-out. We configure audience lists, customer match uploads and pixel data collection to comply with CCPA and we apply GDPR-grade data minimization principles across all markets. We sign a data processing agreement on every engagement.

Yes, and often those engagements perform better because there is no historical budget waste to unwind. We start with a market model — estimated search volume, average CPC, typical conversion rate for your trade and city — so you enter the channel with realistic CPL expectations. The first four weeks are structured around proving the model with real data before scaling.