NovaMed Clinic: 5x Patient Inquiries via Google Ads

NovaMed was spending $15,000/month on Google Ads with disappointing results—high cost-per-click, poor quality scores, and a cost-per-lead that made the channel barely profitable.

The Challenge

Healthcare advertising requires compliance with strict Google policies while still delivering compelling messaging. Their existing campaigns were generic, poorly structured, and targeted keywords that attracted the wrong audience—with no predictive layer to catch wasted spend before it happened.

Our Approach

We rebuilt their entire account structure from scratch, creating tightly themed ad groups for each service line and layering in machine-learning bid strategies that adjust spend in real time. New ad copy emphasized trust signals and specific outcomes, while a comprehensive negative keyword list—continuously refined by AI—and call tracking sharpened targeting further. Landing pages were redesigned and tested for conversion.

The Results

By pairing predictive bid optimization with AI-refined targeting, NovaMed quintupled monthly patient inquiries, cut cost-per-lead by 58%, lifted average Quality Score to 7.8, and reached an 8.2x return on ad spend—turning a barely-profitable channel into their most efficient source of new patients.