Sets sensible defaults for the inputs below.
Headcount that actually delivers the service (dentists, stylists, technicians, attorneys, trainers).
Model default: 3-6 typicalHours actually open for client work. Net of admin time, breaks, internal meetings.
Model default: 30-38 hrsAverage length of one booked appointment, door to door. Include cleanup / transition time.
Model default: 45-75 min% of confirmed appointments that don't actually show up. Use your own booking history.
Model default: 10-15%Average revenue per completed appointment. Use blended average across service mix.
Model default: $200-300Total appointments booked into your calendar this month. This drives utilization, revenue, and headroom math.
Model default: ~70% of maxFree Detailed Report
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MeetingHow this calculator works
How do you compute max monthly bookings?
(hoursPerWeek x 4.33 x 60 / apptMins) x providers. That gives you total deliverable
slots per month assuming everyone shows up. Real-world capacity is lower because of no-shows, which
we track separately.Why does utilization matter more than raw booking count?
Why does the model assume the AI booking agent fills 40% of open slots?
Does the no-show rate include cancellations?
What if my appointment length varies a lot (some 30 min, some 2 hr)?
(0.6 x 45) + (0.4 x 90) = 63 min. For maximum accuracy, run this calculator twice (once
per service type) and add the results. For most operators, the weighted average is close enough to
drive the right decisions.