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Sheet C-02 · Case record

Client withheld — NDA

Healthcare

Case study C-02 · From the record

62%

CPA Reduction

Building a 62% More Efficient Patient Acquisition Engine for a Hospital Network

A 12-location hospital network across Karnataka was spending over ₹4 crore annually on patient acquisition with declining returns. We engineered an integrated digital infrastructure that connected their web presence, appointment systems, and CRM into a unified patient acquisition machine.

Sector: Healthcare · Engagement: Multi-Location Hospital Network, Karnataka · Client withheld — NDA

Building a 62% More Efficient Patient Acquisition Engine for a Hospital Network
C-02 · Healthcare

Sheet 01 · Challenge

The Challenge

What They Faced

The client operated 12 locations but each had siloed marketing, separate websites, and no centralized patient tracking. Their cost per patient acquisition had risen to ₹3,200 while competitors were acquiring at ₹1,400. The operations team spent over 500 hours monthly on manual appointment coordination and follow-up calls, and 40% of web inquiries received no response within 48 hours.

Sheet 02 · Solution

The Solution

What We Engineered

We built a centralized digital platform with location-specific landing pages optimized for local SEO, an intelligent appointment routing system that directed patients to the nearest available specialist, and a multi-touch automated nurturing sequence. The CRM integration ensured every inquiry received an instant response and was systematically moved through the patient journey with zero manual intervention for routine follow-ups.

FIG. 01System schematic · Healthcare growth engine16/9

Sheet 03 · Results

Client withheld — NDA

The Results

Measurable Impact

Outcomes directly attributable to the systems we engineered. Client identity protected under NDA.

Measured outcomes
MetricRecorded value
CPA Reduction62%
Conversion Rate12.4%
Time Saved Monthly420 hrs
Appointment Growth185%
  • Cost per patient acquisition dropped from ₹3,200 to ₹1,216
  • Web-to-appointment conversion rate increased from 3.8% to 12.4%
  • Manual follow-up hours reduced from 500+ to under 80 per month
  • Online appointment bookings increased by 185% across all locations

Sheet 04 · Stack

Technology Stack

Tools & Platforms Used

  • Next.js
  • TypeScript
  • Salesforce Health Cloud
  • Twilio
  • Google Ads API
  • Meta Conversions API
  • Vercel
  • PostgreSQL

Sheet 05 · Next

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