What is A/B testing?
A/B testing compares two versions of a page, ad, email or message by showing each to a random share of the audience and measuring which produces more of a chosen outcome. For hospitals it is useful for booking forms, ad copy and reminder messages, but traffic is often modest, so tests must run long enough to give a reliable answer.
Why it matters for hospitals
It replaces opinion with evidence when teams disagree about headlines, forms or calls to action. In healthcare, small changes like showing doctor availability or a WhatsApp button can shift enquiry rates. Without discipline, though, hospitals declare winners from too little data.
How to put it into practice
- Test one change at a time and decide the success measure before starting, ideally enquiries or bookings.
- Estimate how much traffic you need and run the test for full weeks to cover weekday patterns.
- Use your ad platform’s experiment tools or a testing tool rather than switching versions manually.
- Keep both versions compliant; never test misleading claims.
- Record every result, including losers, so the team learns over time.
The common mistake
Stopping a test after a few days because one version looks ahead, when the difference is just random noise.
An illustrative example
A hospital tested a booking button reading ‘Book appointment’ against ‘Check doctor availability’. After four weeks, the second version produced more completed bookings, and it was rolled out across doctor pages. (Composite example, not a specific hospital.)
Related terms
- Conversion rate optimisation (CRO)
- Landing page (healthcare)
- Click-through rate (CTR)
- Marketing automation
Further reading
Part of the healthcare growth and digital glossary. Last reviewed 7 October 2026.