# Verishop Financial Model Marketplace and shared-services platform connecting independent and emerging brands with consumers via AI-driven discovery, livestream shopping, and creator tools. - Canonical: https://finamodel.com/startups/verishop - Excel download: https://finamodel.com/startup-models/verishop.xlsx - Category: Marketplace - Model type: Marketplace / GMV - Funding round: Series B - Funding: $40M - Founded: 2022 - Geography: US (primary); Snap partnership suggests US-first, global ambition implied - Customer: B2C ## About the company Verishop is an asset-light commerce marketplace that connects independent brands with consumers through AI-driven discovery, livestream shopping, and creator tools. Brands receive merchant software, shared services, distribution partnerships, data insights, and support that extend beyond a conventional storefront. The company had more than 3,000 brands, 400,000 SKUs, and $1 billion-plus of inventory value on the platform, with 99.5% merchant retention. Revenue includes a transaction take rate, partner-network economics, and potential software, data, and financing services for merchants and creators. The model starts with brand supply, SKUs, buyer conversion, average order value, and repeat frequency to build GMV. A blended take rate creates marketplace revenue, while merchant software and services create recurring lines. Livestream adoption, merchant retention, creator activity, payment costs, and service mix determine contribution 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 - **For brands:** sell on Verishop and partner networks; manage business via "Dash" dashboard; brand profile/storytelling; collective data insights; returns software; image management; negotiated vendor rates; micro-financing - **For consumers:** AI-driven "Explorer" feed browsing $1B+ inventory across 3,000+ brands; two-click purchase; no site redirects; Livestream Shopping with in-stream purchase; "Shop Party" (patented) - **Platform extensions:** Snap Mini integration; Instagram, YouTube, shoppable video distribution - **Technology moat:** proprietary recommendation engine (computer vision AI); patent-pending Live Shopping; patented Shop Party; automatic video editing + product tagging; merchant onboarding in <30 minutes ## Market - 972K+ retail businesses created in 2021 - 91% of US shoppers like to try new brands/products; 36% "love to try new brands" (US), 42% globally; 55% "sometimes try" (US), 49% globally ## Revenue model Revenue streams mentioned: 1. **Transaction / take-rate:** brands sell on Verishop; commission on GMV implied (rate not disclosed) 2. **Partner network distribution:** brands sold across partner networks (Snap, Instagram, YouTube); revenue share implied 3. **SaaS / software services:** "Dash" merchant management tool; returns software; image management; Creator Studio (onboarding, product matching, stylist program, monetization, reporting) - pricing not disclosed 4. **Data / insights:** collective data insights sold or bundled - pricing not disclosed 5. **Micro-financing:** described as a service offering; economics not disclosed 6. **Negotiated vendor rates:** implied referral/rebate revenue No explicit pricing tiers, take-rate percentages, or SaaS ARR figures disclosed. ## Traction & metrics All from slide 15 ("Verishop By the Numbers"), as of ~May 2022: - 3,000+ brands on platform - 400K+ SKUs - $1B+ GMV inventory value on platform - 99.5% merchant retention (LTM average ending May 2022) - NPS = 70 (survey July 1, 2019 – May 1, 2022) - 85 full-time employees, 40%+ in tech - 1,000+ hours of livestream video content library ## Competition / moat - **Competitive context:** fragmented independent brand landscape; brands currently discovered via social feeds with poor shopping UX - **Moat claims:** - Patented "Shop Party" technology - Patent-pending Live Shopping - Proprietary AI recommendation engine (computer vision) - 99.5% merchant retention - high lock-in via services and data - Network effect: more brands → better discovery → more consumers → more brands - 1,000+ hours of auto-generated video content library (unique asset) - Direct competitors not named in deck. ## Team & funding ask / use of funds --- ## Recommended financial model - **Archetype + why:** Marketplace GMV model with SaaS/services layer. Verishop is asset-light, multi-revenue-stream: the primary engine is GMV (brands transacting on platform) with a blended take-rate, layered on top of recurring software/services revenue (Dash, Creator Studio, data insights) and a micro-financing spread. A pure 3-statement model is secondary; GMV → revenue → contribution margin is the core. - **Forecast horizon & granularity:** 5 years (2023–2027); quarterly for years 1–2, annual for years 3–5. Given early-stage traction data (May 2022 as base), monthly cohort detail is optional but useful for merchant onboarding curve. - **Key drivers & assumptions:** - **Active brands on platform** - base: 3,000; growth: +30% Y1, decelerating to +15% by Y5 (marketplace S-curve; high existing retention supports base) - **Merchant retention rate** - 99.5%; held flat (best-in-class; sustaining it is a key model risk) - **Average GMV per brand per year** - ~$33K/brand implied if total inventory is $1B across 3,000 brands (note: $1B is stated inventory value, not transacted GMV; actual GMV likely a fraction - assume 30–50% sell-through rate = ~$10K–$16K transacted GMV/brand/year) - **Blended take-rate** - 15–20% of transacted GMV (typical for fashion/lifestyle marketplace; Verishop rate not disclosed) - **SaaS/services ARPU per brand** - $500–$1,500/year/brand for Dash + data + returns software bundle (no pricing disclosed) - **Consumer count & AOV** - Not in deck; model as derived: GMV / AOV = orders; AOV $60–$80 for lifestyle/apparel - **Micro-financing revenue** - small (1–3% of GMV as origination fee); model as optional add-on - **Content/platform distribution revenue** - small initially; may grow as Snap Mini and shoppable video scale - **Headcount and opex** - base: 85 FT employees; scale ~20% Y1, slower thereafter; tech = 40%+ of headcount, so R&D heavy - **Gross margin** - 60–75% on SaaS/services revenue; 40–55% blended (marketplace platforms carry customer service, payment processing, and partial fulfillment support costs) - **Scenarios (Base / Bull / Bear - which variables flex):** - **Base:** Brand growth +30%/+25%/+20%/+15%/+15%; take-rate 17%; SaaS ARPU $800 - **Bull:** Brand growth accelerates via platform integrations (Snap, Instagram scale); take-rate expansion to 20%; financing revenue material contributor - **Bear:** Brand growth stalls (<10%/yr); consumer demand softens; take-rate compression from competition; SaaS conversion low - **Required sheets / outputs:** 1. Assumptions - all drivers, toggleable scenarios 2. GMV Build - brands × avg GMV/brand × sell-through 3. Revenue Bridge - take-rate revenue + SaaS/services + financing 4. P&L - revenue, COGS/payment processing, gross profit, S&M, R&D, G&A, EBITDA 5. Headcount plan - by function 6. Cash flow & runway 7. KPI Dashboard - brands, GMV, take-rate %, NPS, merchant retention, NTM revenue ## Frequently asked questions ### Is the Verishop financial model free? Yes. The Verishop 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.