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Clinics

Publishing prices and availability lifted enquiries

A physiotherapy practice was withholding cost and waiting times until the phone call. The two questions people most wanted answered.

Primary result

+34.1%

enquiry form submissions

ControlVariant

Overview

Where we came in

An independent physiotherapy practice with three treatment rooms and a website that read like a brochure. The practice was reluctant to publish prices, on the assumption that cost transparency would attract only bargain hunters. Search data and the enquiry inbox both suggested the opposite. Again, this work was about the enquiry process, not about treatment.

The baseline problem

  • No prices anywhere on the site, while 41% of branded search queries included the words cost or price.
  • No indication of waiting time, and the second most common inbox question was how soon someone could be seen.
  • The enquiry form asked for a preferred appointment time before establishing whether any were available.
  • The mobile call button sat below the fold on every service page.

Hypothesis

What we expected, and why

Written before the test was built. Because we observed X, we expect Y, measured by Z.

Because visitors cannot judge cost or availability without making contact, we expect that publishing session prices and current typical waiting times will increase enquiry form submissions, without increasing the share of enquiries that go nowhere.

Experiment plan

How the test was set up

Sample size and stop date were both fixed before launch, so no result here was called early.

Two-arm split test across all service pages. Control kept the existing pages. Variant added a session price table, a current typical waiting time updated weekly from the practice diary, and a sticky call button on mobile.

Primary metric
Enquiry form submissions per service page visitor
Traffic
~7,300 service page visitors per arm
Duration
35 days, extended to reach the pre-calculated sample size
Guardrails
  • Share of enquiries that convert to a booked appointment, to catch a drop in enquiry quality
  • Average enquiry-to-booking time
  • Phone call volume, so gains are not just shifted between channels

Results

What actually moved

Control and variant values for each measured metric, with the change between them
MetricControlVariantChange
Enquiry submissions per visitor5.84%7.83%+34.1%
Enquiry to booked appointment58.2%61.7%+3.5pp
Mobile enquiry rate4.91%7.24%+47.5%
Phone call volume112 / mo119 / mo+6.3%
Average enquiry-to-booking time2.8 days1.9 days-0.9 days

The fear was that price transparency would bring in worse enquiries. The conversion rate from enquiry to booked appointment went up rather than down, because people arriving at the form had already accepted the price. Phone volume rose slightly too, so this was not channel cannibalisation.

What changed

Shipped to production

  • Session prices published on every service page.
  • A typical current waiting time shows on each service page, updated weekly from the practice diary.
  • The enquiry form asks for a preferred time only after showing what is realistically available.
  • A sticky call button on mobile, positioned to avoid the browser chrome on smaller devices.

Next experiments

Already in the queue

  1. 01Test a block-of-sessions price alongside the single-session price.
  2. 02Test practitioner profiles on service pages, since named practitioners appear in search queries.
  3. 03Test an online booking option against the current enquiry-first model.
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