Freestanding ER network grew patient visits 45% in 90 days, DFW Metroplex
A three-location freestanding ER network in the DFW Metroplex had weak Google local pack placement, high patient acquisition cost, a 3.2 average rating, and a slow mobile experience. Disciplined local SEO, Google Ads restructuring, and a post-visit review system added $800K+ in annual revenue across all three locations in 90 days.
Starting conditions
The problem
The work
- Google Business Profile rebuild for each location, with consistent NAP, services, and category logic aligned to emergency-intent search behavior.
- Google Ads account restructure with location-specific campaigns, negative-keyword discipline, and intent-mapped landing pages. This cut waste and improved conversion rate per click.
- Local citation audit and cleanup across healthcare-relevant directories.
- Review collection workflow built into the post-visit moment, paired with owner response standards that improved visible engagement.
- Technical site work focused on Core Web Vitals, mobile speed, and emergency-intent page paths to reduce load time at the moment patients search from the parking lot.
Operational constraints
Timeline
Business outcome
45% growth in patient visits and $800K+ added annual revenue by rebuilding the local search and paid acquisition infrastructure across all three locations.
Key takeaways.
For freestanding ERs, search ranking at the moment of emergency intent is the product. A faster page and a cleaner local profile directly translates to patient volume.
A 3.2 rating with 40 reviews signals neglect. Patients who have already decided to seek emergency care will choose the facility with the best visible signal. Review infrastructure is an operating system, not a marketing add-on.
Paid search waste in healthcare is usually structural (wrong campaign architecture) rather than budget-related. Restructuring before increasing spend is the correct sequence.
Patient acquisition cost is an operating metric, not a marketing metric. Cutting it by 65% is the same as improving margin per visit at scale.
Other proof.
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