Will an appointment deposit earn more than it costs?

Require a booking deposit only if the contribution it protects exceeds the contribution lost when customers abandon booking, plus the cost of administering it. A better attendance rate alone cannot answer that question.

This decision suits salons, studios and other businesses selling scheduled, fixed-price services. Start with one service whose missed appointments hurt. Keep its price, reminders and available hours steady while you compare payment policies.

The mechanics already exist. Square’s US documentation allows fixed or percentage deposits for selected services, collected during online booking. Acuity also supports fixed or percentage deposits and payment rules by appointment type. These are documented capabilities, not evidence that deposits will improve your profit. See Square’s deposit guide and Acuity’s payment options.

Both pages were checked on October 9, 2026. Acuity labels its page last updated March 27, 2026; Square displays no publication date. This analysis does not treat either feature as a new launch.

Use this formula for each policy over the same observation period:

Contribution = completed appointments × contribution per completed service + net retained cancellation payments − extra policy costs.

Then divide contribution by eligible booking-page visitors. Count visitors before they encounter the payment requirement, including those who leave without booking. Otherwise, the deposit policy can appear stronger simply because deterred customers disappear from your denominator.

Contribution per completed service is the service price, excluding collected taxes, less costs attributable to delivering it, including ordinary payment fees. Keep unchanged rent and salaries outside this comparison. Include additional staffing or overtime when the policy actually causes it.

A deposit credited against a completed service is part of that service’s payment. Adding it again would count the same money twice. Net retained cancellation payments means money actually retained after refunds, payment costs and disputes, less any wasted preparation costs. Unresolved refunds and deposits attached to future appointments are not gains.

Consider this entirely hypothetical example, in US dollars. A studio tests a $30 deposit on a $120 service. Contribution per completed service is $70. Each group contains 200 eligible visitors, and appointment outcomes have been resolved.

Input or result	No deposit	$30 deposit
Eligible visitors	200	200
Bookings	100	90
Completed appointments	80	81
Non-completed appointments	20	9
Average net retained payment per non-completed appointment	$0	$15
Extra processing and administration per booking	$0	$2
One-time setup cost	$0	$100

The hypothetical $15 is an average after refunds and other deductions, not an assumption that every missed customer forfeits the full deposit. The additional $2 covers costs beyond those already deducted elsewhere.

Without a deposit, contribution is 80 × $70 = $5,600, or $28 per visitor.

With a deposit, it is 81 × $70 + 9 × $15 − 90 × $2 − $100 = $5,525, or $27.63 per visitor, rounded.

Attendance improves from 80% to 90%, yet first-period contribution falls by $75. Excluding setup, the deposit produces $5,625, only $25 more than the original policy. That small recurring advantage is vulnerable to extra refunds or administration.

Calculate the booking floor before deciding:

Required bookings = (baseline contribution + setup cost) ÷ [attendance rate × service contribution + non-attendance rate × average net retained payment − extra cost per booking].

For this hypothetical first period, the floor is ($5,600 + $100) ÷ [(0.90 × $70) + (0.10 × $15) − $2] = 91.2 bookings. Round up to 92. The observed 90 bookings miss that floor. This calculation assumes the attendance rate and unit costs remain constant as booking volume changes.

Sensitivity matters. At the same 90 bookings, completing 83 appointments instead of 81 would produce 83 × $70 + 7 × $15 − $180 − $100 = $5,635. Two appointment outcomes reverse the decision. That makes this example inconclusive evidence for a broad rollout.

Copy these fields into a worksheet for each policy: eligible visitors, bookings, completed services, refunds, retained cancellation payments, delivery costs, extra processing costs, administration time and setup cost. Add service date and acquisition source so you can compare similar customers and allow rescheduled appointments to resolve.

Where practical, randomly assign eligible visitors to clearly disclosed booking policies. Otherwise, compare matched periods and acknowledge that seasonality, staff availability and customer mix can explain the difference. Keep replacement bookings visible; this example assumes no abandoned or missed slot is refilled.

Include the operational burden. Square says customers with deposits cannot cancel their own appointments; the seller must handle cancellation. Its documentation also lists restrictions on loyalty rewards and package redemption for deposit bookings. Those details can change both administration costs and customer response. Square documents these limitations.

Set a review date and maximum affordable test loss before starting. Stop expansion if contribution per eligible visitor remains below the original policy after outcomes settle. Reverse sooner if refund or support costs exhaust the loss budget. If a few outcomes determine the winner, keep the test bounded rather than declaring success.

Use your existing scheduler if it supports the policy. Our appointment-booking tool comparison addresses the separate software decision. The calculation here is based on current documentation and editorial analysis, not a hands-on product test or observed business results.