Glambook Financial Model

• Two apps: one for beauty professionals (CRM / schedule / booking management), one for clients (discovery and booking)
• Positioned as "personal CRM system with a stream of incoming leads" for pros
• Targets independent beauty professionals (hair, nails, makeup, tattoo/piercing, barbers, lashes)
• Funnel logic: attract salon-employed pros to moonlight on Glambook, then convert them to full-time independents as earnings grow
• Available on App Store

• UK: ~45,000 hair and beauty businesses; ~288,000 beauticians, hairdressers, and barbers as of 2020
• EU + UK combined: estimated up to 2 million beauty specialists
• Target market share: up to 30% of EU+UK market (~600,000 pros); benchmarked against Styleseat (US), which claims 350,000 pros out of ~1.5M total
• Self-employment trend: 60% of UK hairdressers/barbers were self-employed in 2020, up from 54% in 2019; majority of all workers projected to freelance by 2027
• ESG angle: global ESG assets cited at $40T today, projected >$53T by 2025 - used as tailwind narrative, not a direct TAM

Two monetisation tracks, applied to the supply side (beauty pros):

• No client-side fee mentioned
• Acquisition channels: paid + viral social media; partnerships with beauty schools; proprietary lead-gen at fixed £0.50 cost per pro contact in any country

• 20,000 professionals on platform
• +10,000 pros added in the last few months (implies ~doubling)
• 200% professional growth rate cited over recent months
• 100,000 bookings made on the platform
• "First sale of subscriptions" - revenue is early/nascent
• Present in 38 countries

• Pro acquisition cost (supply side): £0.50 per contact via proprietary channel; total blended CAC not stated
• Commission rate: 10–20% of each booking
• Subscription price: £20/month per pro

• Deck states the beauty industry is "very fragmented" and existing solutions target B2B (salons), not independent pros
• No direct competitor names cited; indirect reference to Styleseat (US) as a comparable supply-aggregation model
• Moat claims: proprietary low-cost pro acquisition channel (£0.50/contact); network effects implied by marketplace structure; team's insider domain expertise (CPO is a practicing beauty professional)

Team:

• Alex Tomchenko - CEO & Founder; London-based; 12+ years in marketing/sales/business development; prior digital agency founder (2008)
• Anastasia Tomchenko - CPO & Co-Founder; 12+ years as makeup artist and hairstylist; beauty industry domain expert
• Sergey Akhapkin - CTO; 10+ years server-side and web development, scalable/fault-tolerant systems

Funding history:

• $150K founder capital at start
• €500K raised in 2021
• $2.5M Seed round raised (timing not specified - appears current as of deck date)

Post-money valuation: €12M (x3+ vs. last round)

Funding ask: Not explicitly stated in deck (no use-of-funds slide)

12–18 month target: Grow from 20,000 to 100,000 professionals

Archetype + why: Marketplace + SaaS hybrid (supply-side driven). Two revenue lines must be modelled separately: (1) subscription MRR from paying pros, and (2) GMV-based take-rate revenue from commission-paying pros. The supply side (pro count) is the primary growth driver - demand (clients + bookings) is derivative. This is closer to a Styleseat / Mindbody / Fresha archetype than a pure SaaS play.

Forecast horizon & granularity: Monthly, 3 years (36 months). Monthly is necessary to model the subscription cohort build and the freemium-to-paid conversion funnel properly.

Key drivers & assumptions:

Supply side (professionals):

• Starting active pros: 20,000
• Monthly new pro adds: ~3,000–5,000/month implied by "+10,000 in last few months"; use 3,500/month base
• Pro churn rate (monthly): 3–5%; beauty freelancers are sticky once earning but early platform churn is high
• Subscription conversion rate (% of pros on paid plan): 10–15% at steady state; deck says subscriptions have "just started"
• Subscription price: £20/month

Demand side (bookings / GMV):

• Bookings per active pro per month: ~5–8 bookings/month; beauty pros typically book 20–30 sessions/week but early platform fill rate will be low
• Average booking value (ABV): £35–50 based on UK beauty market norms; no deck data
• Commission rate (on non-subscription pros): 10–20%; model at 15% blended
• Paying vs. freemium mix: 85% on commission track initially, shifting toward 50/50 over 3 years as subscription scales

Cost / CAC:

• Pro acquisition cost: £0.50/contact via proprietary channel; assume 50% contact-to-sign rate → effective CAC ~£1/pro
• Blended CAC (inc. social/partnership): £3–5/pro until proprietary channel scales
• Gross margin: 70–80% (software/marketplace; no physical COGS); hosting/payment processing ~5–10% of revenue

Scenarios (Base / Bull / Bear - which variables flex):

• Base: 3,500 new pros/month, 12% subscription conversion, 15% take-rate, £40 ABV, 6 bookings/pro/month
• Bull: 6,000 new pros/month (viral + school partnerships fire), 20% subscription conversion, ABV £50
• Bear: 1,500 new pros/month (paid acquisition underperforms), 5% subscription conversion, high churn (8%/month)

Required sheets / outputs:

1. Assumptions dashboard (all and inputs in one place)
2. Supply funnel - monthly pro adds, churned pros, active pros by track (freemium vs. subscribed)
3. Demand / GMV model - bookings = active pros × bookings/pro; GMV = bookings × ABV
4. Revenue build - subscription MRR + commission revenue; total net revenue
5. CAC & marketing spend - pro adds × blended CAC; LTV/CAC ratio
6. P&L (simplified) - Revenue, gross profit, S&M, G&A, R&D, EBITDA
7. Cash & runway - starting from $2.5M Seed close; monthly burn; months of runway
8. KPI summary - pros (total, active, subscribed), bookings, GMV, MRR, take-rate revenue, blended ARPU
9. Scenario toggle - Base / Bull / Bear