# GlossGenius Financial Model All-in-one software-embedded payments platform for beauty and wellness small business owners. - Canonical: https://finamodel.com/startups/glossgenius - Excel download: https://finamodel.com/startup-models/glossgenius.xlsx - Category: Fintech - Model type: Marketplace / GMV - Funding round: Series A - Funding: $16.4M - Founded: 2021 - Geography: US (implied by platform branding; not stated explicitly). - Customer: B2B2C ## About the company GlossGenius is an all-in-one software and payments platform for beauty and wellness small businesses. It gives service providers the tools to run bookings, client relationships, and commerce while embedding payment acceptance in the same operating workflow. The vertical focus lets the company combine recurring software with a larger payments opportunity as salons and practitioners process more customer spend through the platform. This is a familiar but powerful vertical-SaaS distribution model. The model should forecast active businesses, subscription ARPU, retention, appointments or transactions per business, and average payment value. Gross payment volume multiplied by the net processing take rate creates the second revenue stream; payment costs and support costs should remain distinct from SaaS gross margin. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition 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". ## Revenue model 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. ## Traction & metrics 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.** ## Competition / moat 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 & funding ask / use of funds - 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. ## Recommended financial model - **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) ## Frequently asked questions ### Is the GlossGenius financial model free? Yes. The GlossGenius model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.