Most no-show calculators do "missed appointments × revenue" and stop. That misses the four costs that actually leak from a service practice: direct revenue lost during the empty slot, staff idle cost (the wage you paid for that hour anyway), reactivation overhead (admin time chasing rescheduling), and LTV erosion — Lacy 2004 found no-show patients are roughly 2× more likely to discontinue care entirely. This calculator layers all four with industry baselines for dental, primary care, mental health, specialty medical, salons, spas, vets, and restaurants.
Five proven interventions with cited effect sizes: SMS reminders (-26-38% no-shows per Schwebel & Larimer 2018 meta-analysis), required deposits (-60-80% per OpenTable 2019), waitlist auto-fill (-40-60% per Zocdoc/HBR 2017), two-way confirmation (-10-15% per Perron 2013), strict cancellation policy (-15-25% per Lehmann 2007). Toggle them on and the calculator computes combined recovery using the proper diminishing-returns formula 1 - ∏(1 - effectᵢ). Most practices recover 40-70% of bleed by stacking 2-3 interventions.
Industry baselines vary widely: dental 12% (ADA), primary care 20% (Kaplan-Lewis 2013), mental health 22% (Mitchell & Selmes 2007), salons 15% (Booksy 2023), restaurants 13% (UK Hospitality 2023). Vendor-cited numbers (Booksy, Mindbody) are flagged separately because they typically overstate effectiveness vs peer-reviewed measures. The calculator uses peer-reviewed baselines where available, with vendor data clearly labeled.
Lacy et al., J Family Practice (2004), found no-show patients are roughly 2× more likely to discontinue care within 18 months. Each no-show isn't just a missed slot — it carries real probability of losing the patient entirely. For a dental practice with $250 visits and 4 future visits per patient, each no-show carries $200+ in expected LTV erosion alone, often dwarfing the slot revenue.
Treat with caution. Booksy, Mindbody, and similar platforms report self-collected data that often overstates effectiveness vs peer-reviewed studies. The calculator labels vendor-cited numbers (VENDOR-CITED tag) so you can discount them appropriately. Where peer-reviewed data exists (Schwebel 2018 SMS meta-analysis, Lehmann 2007 cancellation policies), we use that.
When you stack interventions (SMS + deposit + waitlist), they don't add linearly — patients reminded by SMS who would have shown up anyway aren't affected by the deposit requirement. The formula 1 - ∏(1 - effectᵢ) treats each intervention as a probability of preventing the no-show, properly handling overlap. Combined effect is always less than the sum of individual effects.
Probably yes for restaurants and salons (60-80% reduction is huge), more carefully for healthcare (regulatory and ethical considerations). The calculator shows the recovered revenue from each intervention so you can weigh against potential booking-volume loss. In practice, deposit requirements typically reduce booking volume <5% while cutting no-shows 60-80%.
Staff wage during the slot + chair/room overhead + utilities pro-rated. For dental: assistant + hygienist coverage during the slot ($30-50/hr) plus chair amortization. For salons: stylist guarantee or commission lost. For restaurants: cook + server time during prep window. The calculator uses defaults of $30 USD but adjust for your actual cost structure.
Sources: Lacy J Fam Pract 2004 · Schwebel & Larimer TBM 2018 · OpenTable 2019 · Kaplan-Lewis JPCCH 2013 · Mitchell & Selmes 2007 · ADA practice surveys · UK Hospitality 2023