How We Drove $1.1 Million for a NYC Remodeler

We began with a review of the company’s sales history—analyzing job profitability, close rates, and lead sources by borough and service type. The business owner provided insight into which project types delivered the best margins and which ones tended to cause delays or client friction. Based on that data, we crafted messaging around the benefits that mattered most to their customers: control over dust, help with permitting, and timelines that stayed on track. These proof-driven values became the foundation of the brand’s digital presence.

Next, we activated CyberEngine™ Advertising across three key platforms. Google Search Ads were used to reach high-intent homeowners actively looking for remodeling help. Google Local Services Ads (LSAs), which charge only when a lead is verified, helped capture mobile users ready to call directly. Facebook Lead Ads complemented these efforts by offering quick, low-friction lead capture from casual scrollers beginning their research. Every platform played a specific role in the lead funnel.

We structured campaigns by borough and major renovation category. This allowed each ad to align tightly with the location and scope the prospect was searching for. A homeowner in Queens looking to update a basement saw entirely different creative and messaging than someone in Manhattan planning a full-home renovation. Responses from all platforms were routed into a shared inbox and CRM, enabling fast, organized follow-up from the sales team. This structure ensured every lead received timely attention.

To filter out low-quality leads, we implemented a rigorous negative keyword strategy. This blocked traffic from searchers outside the target profile—such as renters, ultra-low-budget inquiries, and general research terms. The ad copy was written in clear, everyday language with promises rooted in real deliverables. Licensing and insurance were prominently featured in LSAs, and Search Ads focused on reliability, not fluff. The entire system was built to attract serious homeowners.

Meanwhile, we optimized the client’s Google Maps presence. Twice weekly, we added geo-tagged photos of real projects and ensured service areas were clearly defined. We also corrected NAP citations—making sure the company’s Name, Address, and Phone were consistent across major directories—and populated the Q&A section with straightforward answers to common questions. These improvements increased visibility in proximity-based searches.

All ad and Maps activity fed into a live performance dashboard that tracked leads, conversions, and revenue estimates by source. Each metric included a short explanation, so the team could interpret results without needing a marketing background. With data in one place, decisions became evidence-based—not guesswork.