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Fixing the slow site that was losing patients

Every second of load time loses mobile patients. We traced the root cause to server response, rebuilt caching and delivery, and restructured department pages patients actually search for.

Case DZ-011Super-speciality instituteHaryana

The challenge

The site was slow enough that mobile patients were abandoning it before pages rendered. Previous attempts had focused on image compression and plugins, which addressed symptoms rather than the underlying cause.

What we did

  1. Traced the delay to server response time rather than front-end weight, which redirected the entire fix.
  2. Rebuilt caching and content delivery configuration at the hosting layer.
  3. Restructured department pages around the terms patients actually search for, rather than internal department naming.
  4. Consolidated overlapping pages that were competing with each other in search.
  5. Established a monthly performance check so regressions get caught rather than accumulating.

The result

−70%server response time (TTFB)
12treatment pages restructured
Improvedorganic enquiries quarter on quarter

Figures are drawn from client reporting over the engagement period and rounded for confidentiality. Results depend on catchment, specialty mix, capacity and competition, and are not a prediction for any other hospital.

What we learned

Most hospital site speed problems are diagnosed at the wrong layer. Compressing images on a site with slow server response is optimising the wrong thing — measure time to first byte before touching anything else.

Why this case is anonymousHospitals prefer discretion about their marketing partners, so we publish the specifics that matter — size, region, engines, timeline and numbers — without the name. Full context is shared on request during an audit call.
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