Industry

Beauty & Personal Care SaaS

Employer

Ongoing Side Project

Timeline

2 weeks

123 Marcou — WhatsApp Scheduling Validation for Brazilian Salons

0→1 Validation, No-Code, WhatsApp Bot

How I validated a WhatsApp-based scheduling solution for salons through fake door testing and price experimentation, pivoting from cost differentiation to competitive parity.

Outcome

60%

real purchase intent (9/15 establishments approached)

2/2

spots filled for free trial via concierge

Context / Problem

Class C/D salons/barbershops (low tech-touch profile) lose clients and time with manual scheduling or migrate to apps/sites (Trinks, Booksy, Bemp, Gendo) that require mandatory registration, generating abandonment for bookings and cancellations. Competitors demand channel switching and offer complex interfaces for audiences with low tech familiarity (owners and clients).

My Role

End-to-end PM: validated problem through interviews with 5 salon owners and 5 clients, desk research (500k registered salons in Brazil, +170k new beauty businesses Jan-Sep/2024), and customer review analysis of competitors (Booksy, Trinks, Bemp, Gendo). Created solution hypothesis and tested with fake door (Landing Page on Lovable + Mixpanel), built prototypes (web calendar on Lovable, bot on n8n + WhatsApp Business + Supabase), and validated willingness to pay via in-person/phone pitches with 15 establishments.

Discovery

Initial hypothesis: Salon owners would pay less (R$29–39/month) for a simple WhatsApp-integrated solution vs competitors (R$80–100/month). Salon owner pain validation (interviews with 5 establishments): Confirmed client loss due to slow response during in-person service, frustration with no-shows, and price discrepancy between apps vs actual salon prices. Resistance to apps/sites due to complexity + mandatory registration at critical moments. WhatsApp validated as natural channel for low tech-touch audience. Client pain validation (interviews with 5 clients + customer review analysis): Confirmed frustration with mandatory registration for simple bookings, unwanted promotional messages from scheduling apps, and poor UX on salon websites. Pattern reinforced across competitor reviews: clients prefer WhatsApp for its familiarity and simplicity. Price validation (fake door + 15 pitches): Early conversations revealed pain with existing solutions was so great that price parity (R$80–100/month) still made sense despite reduced features. Pivoted pricing from cost differentiation to competitive parity. Result: 60% showed real purchase intent, 2/2 trial spots filled. Critical scope decision: Prioritize simplicity and accessibility (concierge activation, 3-step bot, mobile-first calendar) vs advanced features, betting that superior experience on the right channel would compensate for feature gap with competitors.

Solution

WhatsApp bot 100% integrated with establishment's number: 3-step booking, 24h confirmation, escalation to human after unrecognized messages, registration-free cancellation. Mobile-first web calendar: receives bot bookings, allows manual scheduling, blocks, schedule adjustments, cancellation notifications. Pricing: R$89 (solo) / R$79 per calendar (teams).

Landing page, WhatsApp bot prototype with 3-step booking flow sequence, and mobile-first calendar prototype interfaces.

Next Step

4-6 weeks: execute concierge MVP with 2 partners to validate: • Bot usage rate (goal: >70% of bookings via automation) • No-show reduction (benchmark vs previous period) • Available slot fill rate • Post-trial conversion (goal: >50% at $79-89/month) With positive validation: develop self-service activation (LP form → configured bot). If <50% conversion: revise pricing or pivot to audience with higher digital maturity.