SmileWorks Houston
A patient acquisition machine with 0.6s initial load and integrated smart scheduling.
Project Overview
SmileWorks Houston was struggling with high social media ad costs that yielded poor conversion due to an outdated, slow, mobile-unoptimized institutional website.I developed a new website focused on a fast conversion funnel, integrating a self-scheduling appointment system.
The Business Challenge
The main obstacle was conversion friction: potential patients had to fill out lengthy forms or make phone calls during business hours to book an appointment. Additionally, the original page took over 4 seconds to load on mobile 3G, where 85% of local traffic was concentrated.
The Engineering Solution
I developed a lightweight static architecture using Next.js with hybrid rendering. We implemented an intelligent interactive conversation agent (simulated chatbot) that guides the patient through choosing a specialty and time slot in under 1 minute. The entire page was optimized for Core Web Vitals, dynamically reducing images and using Tailwind v4 for minimal CSS footprint.
Data Flow Architecture
Ultra-optimized rendering pipeline integrated with Next.js Server Components. Static assets are distributed via global Edge CDN, and appointment data is processed by serverless API routes that update MongoDB asynchronously.
Performance Audit
Technologies Used
Next.js 19
Core Framework (Server Components)
Tailwind CSS v4
High-Speed Compiled Styling
Framer Motion
Smooth UI Micro-interactions
MongoDB / Mongoose
Agile Appointment Storage
Results Achieved
Increase in actual appointments compared to the previous system in the first month.
Interactive load time (Largest Contentful Paint) measured on 4G connections.
Fewer users leaving the page right after the entry click.
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