What is page speed worth for healthcare appointment booking? A worked example.
Patients booking care want it done quickly and reliably. A slow availability lookup or booking step is friction at exactly the moment a patient is ready to commit. On this profile, going from 3.4s to 1.8s models about $38.9K a month in extra revenue.
assumptions
A planning profile for this kind of site. Every figure is yours to change in the calculator.
- Current load time (p75): 3.4s
- Target load time: 1.8s
- Monthly visits in scope: 60K
- Current conversion rate: 5%
- Value of a booked appointment: $90.00
- Conversion lift per 100ms faster: 0.9%
revenue_uplift
+$38.9K/ month
$466.6K / year · +432 booked appointments / month
- Time shaved off
- 1.6s
- Relative conversion lift
- +14%
- Conversion rate
- 5% → 5.72%
- Each 100ms is worth
- $2,430/mo
- Revenue now → at target
- $270.0K → $308.9K
Computed by the Page Speed → Revenue model · planning estimate, not a guarantee
why_speed_pays_here
Why speed maps to money for healthcare appointment booking
Intent is high once a patient reaches the booking flow, so conversion rates are strong and speed mostly protects bookings that are already likely. A reliable, fast slot picker also reduces the support calls that follow when a flaky page makes patients unsure the booking went through.
Where the load time goes. Real-time slot availability often blocks the page while it queries a scheduling backend. Show the calendar shell immediately, load availability for the visible range first, and avoid re-fetching the whole schedule on every navigation between days.
faq
Questions & answers
- How much revenue can faster page speed add for healthcare appointment booking?
- On this profile (3.4s to 1.8s at 60K visits a month), the model puts the gain at about $38.9K a month, or $466.6K a year, from a roughly 14% relative lift in conversion. Your real numbers will differ; tune them in the calculator.
- Is the 14% conversion lift realistic?
- It comes from one assumption you can change: a 0.9% relative conversion change per 100ms faster, applied to the 1.6s this profile shaves off. That sensitivity is in the range of widely cited retail studies; for lower-intent traffic use a smaller figure, for high-intent checkout flows a larger one. The model also caps the modeled lift so an extreme speedup can't imply a fantasy multiplier.
- What's the fastest way to speed up healthcare appointment booking?
- Real-time slot availability often blocks the page while it queries a scheduling backend. Show the calendar shell immediately, load availability for the visible range first, and avoid re-fetching the whole schedule on every navigation between days.
That uplift is the business case. Hitting the target is the work.
I'll find where your real load time goes and what it takes to actually reach the target. Book a call, or leave your email and I'll reach out.
Prefer proof first? See how this plays out in real case studies →