GlossGenius Financial Model

GlossGenius is an "operating system" for beauty and wellness SMB owners. Core product pillars:

• Booking - client-facing booking pages and appointment scheduling.
• Payments - software-embedded card processing with earnings analytics (pie-chart breakdown: 45% Service, 20% Head, 18% Tip, 12% Fees, 5% Other).
• Marketing - mass text / SMS campaigns for last-minute openings and re-booking reminders.
• Analytics - earnings dashboard showing Total Sales, Avg Ticket, period comparisons (2018/2019/3 Mo/4 Wks).
• Client management / CRM - tracks new clients, appointment counts, reviews.
• Branded business pages - custom storefronts (portfolio, services, "Book Now").

Key differentiator: purpose-built for beauty/wellness, versus generic tools like Square or Booksy; "industry's easiest, most elegant platform".

The deck describes a "software-embedded payments platform" but does not disclose explicit pricing tiers, monthly subscription fee, or payment take-rate.

Inferable model components (not confirmed in deck):

• SaaS subscription - monthly fee per seat/business for software access.
• Payments processing - take-rate on gross payment volume (GPV) processed through the platform; earnings breakdown on slide 1 shows "Fees" as 12% slice of earnings but this is the merchant's earnings composition, not GlossGenius's take-rate.
• Potential referral/affiliate revenue - slide 7 shows a "$30 for signing up" referral offer, suggesting a referral/growth mechanism.

Only proxy metrics visible in product UI screenshots - no aggregate company-level traction slide:

• Example merchant earnings shown in analytics UI: $90,387 Total Sales, $187 Avg Ticket.
• Social proof testimonials show individual user outcomes: "5 new clients, 17 appointments" in a single week for one user.
• Mass text campaign result: "appointment filled in less than 10 minutes".
• No aggregate GMV, customer count, revenue, or growth rate disclosed.

Not explicitly addressed in a competition slide. Implied moat:

• "Most loved platform" positioning - NPS/word-of-mouth flywheel via social media sharing.
• Purpose-built UX: vs. Square (generic), Vagaro, Booksy, MindBody - GlossGenius is "not purpose built" describes competitors, not themselves.
• Embedded payments create switching costs (merchant data, client list, payment history).
• Team pedigree: hires from Squarespace, Amazon, Uber, Morgan Stanley, Stripe, Goldman Sachs, Shopify, J.P. Morgan, Twilio, Deliveroo, Postmates, Zynga, Bridgewater, IBM, American Express, LendingTree, Pipedrive, VMware, Stack Overflow, Symphony, Justworks.

• Team: not individually named beyond founding context; team slide shows prior employer logos (slide 9).
• Funding ask: Not in deck - no round size, valuation, or use-of-funds slide.
• No cap table, existing investors, or board members disclosed.

• Archetype + why: Vertical SaaS + embedded payments (GMV-attached revenue model). Two revenue streams must be modeled jointly: (1) recurring SaaS subscription per active merchant, and (2) payment processing revenue as a take-rate on GPV generated by those merchants. This mirrors the Shopify/Toast/Boulevard architecture - software drives adoption; payments is the higher-margin monetization lever at scale.

• Forecast horizon & granularity: Monthly for years 1–2; quarterly for years 3–5. Five-year total horizon. Monthly granularity needed because SaaS cohort churn and GPV seasonality (beauty/wellness has holiday peaks) matter.

• Key drivers & assumptions:
• Merchant count (new adds/month): ramp from ~50–100/month at launch, growing 10–15% MoM early stage; based on vertical SaaS comps.
• Monthly churn rate: 2–4%/month; beauty SMBs have high business mortality; target best-in-class is ~2%.
• Monthly SaaS fee per merchant: ~$24–$48/month; consistent with Vagaro ($25), Booksy ($29.99), GlossGenius public pricing (historically ~$24–$48/mo); no pricing disclosed.
• Average monthly GMV per merchant: ~$8,000–$15,000/month; extrapolated from $90,387 annual total sales example in UI → ~$7,500/month for that merchant; adjust for portfolio mix.
• Payments take-rate: 2.6%–2.75% on GPV; standard card processing take-rate for this category.
• Revenue split (SaaS vs. payments): early stage: 60% SaaS / 40% payments; shifts to 40/60 at scale as GPV grows.
• Gross margin - SaaS: ~70–75%; typical vertical SaaS after hosting/support costs.
• Gross margin - Payments: ~20–30%; net of interchange/card network costs.
• Blended gross margin: ~50–60% at early scale.
• CAC: ~$150–$300/merchant (SMB acquisition via social/referral is lower-cost than enterprise); referral program ($30 sign-up incentive) suggests low-CAC viral loop.
• LTV: Driven by ARPU × gross margin / churn; at $36/mo SaaS + ~$250/mo payments revenue per merchant at 2.5% churn → LTV ~$11,400 at 55% gross margin.
• Payback period: 6–18 months depending on blended CAC/ARPU.
• Headcount / OpEx: engineering-heavy early team; S&M low given viral/referral growth model; model headcount by function.

• Scenarios (Base / Bull / Bear - which variables flex):
• Bull: Churn at 1.5%, faster merchant adds (20%+ MoM), take-rate expansion via premium features or lending; GPV per merchant at high end.
• Base: Churn at 2.5%, steady 10% MoM merchant growth, take-rate stable at 2.65%.
• Bear: Churn at 4%, slower ramp, pricing pressure from Square/Stripe Terminal, lower GPV per merchant.

• Required sheets / outputs:

1. Merchant cohort waterfall (new adds, churned, active by period)
2. SaaS revenue build (active merchants × monthly fee)
3. GMV / payments revenue build (active merchants × avg GMV × take-rate)
4. Blended P&L (gross profit, S&M, R&D, G&A, EBITDA)
5. Unit economics summary (CAC, LTV, LTV:CAC, payback)
6. Cash / runway model
7. Sensitivity table (churn × merchant growth; take-rate × GPV per merchant)