# SUMA Wealth Financial Model All-in-one fintech platform targeting Latino youth, blending in-culture content, AI coaching, and savings tools to close the Latino wealth gap. - Canonical: https://finamodel.com/startups/suma-wealth - Excel download: https://finamodel.com/startup-models/suma-wealth.xlsx - Category: Fintech - Model type: SaaS ARR / Valuation - Funding round: Series A - Funding: $2.2M - Founded: 2024 - Geography: United States (Latino market); headquartered in California. - Customer: B2C ## About the company Suma Wealth is an all-in-one fintech platform for Latino youth, combining in-culture content, AI coaching, and savings tools to address the Latino wealth gap. Its brand and community are designed to make financial education and action more relevant to its target audience. The company has two commercial pillars: enterprise campaigns, consumer insights, and lead generation sold to financial-services brands, plus direct and enterprise-sponsored memberships. This creates a hybrid media, services, and consumer-subscription model. The model should separately forecast enterprise contracts, campaign revenue, repeat rate, membership users, conversion, monthly ARPU, and churn. Content and community costs, enterprise sales productivity, and member-acquisition costs should be allocated by revenue stream rather than collapsed into one generic SaaS 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 - Mobile-first financial platform with culturally resonant branding and Spanish-English content. - Core membership features: money management tools, tailored financial coaching (AI + human coaches), in-culture content, family co-savings, gamified education. - Engagement mechanic: culturally themed UX (e.g., "Guacamalo or Guacaready" credit score, "Flan Budget Method" 50/30/20 budgeting). - Enterprise offering: "Financial Culture as a Service" - lead generation, amplification, consumer insights sold to financial institutions and brands. - Family multiplier: each user manages finances for up to 3 family members, extending effective reach 3x. ## Market - Latinos contribute $3.4 trillion to the US economy. - No explicit TAM/SAM/SOM breakdown or market size dollar figure in deck. - Implicit addressable market: ~62M US Latinos, skewing young (GenZ + Millennial cohort underserved by incumbents). ## Revenue model Three revenue pillars: 1. **Sales Revenue (B2B / Enterprise)** - Lead generation, amplification campaigns, consumer insights sold to financial services companies (Morgan Stanley, Chase, Fidelity, Verizon, TurboTax, etc.). - Channel: direct enterprise sales. 2. **Memberships (D2C + Enterprise)** - Direct-to-consumer subscription (membership tier unlocks AI coaching, family co-savings, advanced tools). - Also sold via enterprise (white-label or co-branded memberships to community partners). 3. **Non-dilutive Revenue** - Financial literacy grants and educational certifications. - Likely government/foundation grants; non-recurring / lumpy. ## Traction & metrics - 1,000,000 users (total registered). - 61% user growth 2022 → 2023 (chart shows ~620K in 2022 to ~1M in 2023). - 4.8X revenue growth 2022 → 2023. - 17X engagement vs. industry average. - 2.5X increase in savings vs. national average among users. - 70% of users increased their savings; 51% of those now have 3 months of emergency savings. - 87% repeat rate (enterprise client repeat/retention). - Users manage finances for up to 3 family members ("3X Latino Youth Multiplying Effect"). - User demographics: 80% GenZ (18+) and Millennial; 65% Female; 70% Latino / 30% general market. ## Competition / moat - Direct fintech competitors listed: MoneyLion, Rocket (Money), Cleo. - Suma's claimed differentiation: sole focus on Latinos, in-culture education, community-driven, money coach, savings, AI insights, rewards/gamification. - Moat narrative: cultural positioning + community trust + enterprise relationship flywheel; 87% enterprise repeat rate as evidence. - Notable enterprise partners as social proof: Morgan Stanley, Chase, Fidelity, Wells Fargo Foundation, SBA, TurboTax, QuickBooks, Verizon, ASU, Match, Stockpile, NAR Realtor. ## Team & funding ask / use of funds - Beatriz Acevedo - CEO & Co-Founder; 3x founder, mitú, Beneficial State Bank. - Mary Hernandez - COO & Co-Founder; mitú. - Xavier A. Gutiérrez - Chairman & Co-Founder; Clearlake Capital, True Road Capital, Congressional Black Caucus. - Daniela Corrente - Chief of Strategy & BD; Reel, Grey, Saatchi & Saatchi. - Silvia Patiño - Head of Product; Nu (Nubank), Mercado Libre. - Kennit Ruiz - Head of Engineering; Merqued. - Funding ask: Seed round - no dollar amount disclosed; stated as oversubscribed. --- ## Recommended financial model - **Archetype + why:** Dual-stream consumer fintech model - D2C subscription (membership ARR) + B2B enterprise revenue (annual contracts/campaigns). The B2B enterprise stream behaves like a professional-services / media-sales P&L (project-based, high repeat rate); the D2C stream is a subscription ARR model. Given the hybrid nature, build a combined model with two distinct revenue blocks rather than a pure SaaS ARR or pure DTC model. Non-dilutive grant revenue treated as a third, non-recurring line. - **Forecast horizon & granularity:** 3 years (2024–2026), monthly for Year 1 (cash-flow visibility at seed stage), annual for Years 2–3. Monthly cohort tracking for D2C membership. - **Key drivers & assumptions:** *D2C Membership stream* - Total registered users: 1,000,000; conversion to paid membership rate - Monthly membership price - Monthly churn rate - New user growth rate - Family multiplier effect: 3x stated - model as a qualitative reach multiplier for B2B pricing, not a direct D2C revenue driver *B2B / Enterprise Sales Revenue* - Number of enterprise clients - Average contract value per enterprise engagement - 87% repeat rate → model as 87% revenue renewal + upsell factor - New enterprise client adds per year *Non-dilutive / Grants* - *Cost structure* - Headcount: 6 named founders/leads; total team size not disclosed - COGS: platform hosting, AI coaching infra, content production - S&M: community-led, high organic engagement (17X industry avg) - G&A - **Scenarios (Base / Bull / Bear - which variables flex):** - Base: 4% D2C conversion, 40% new user growth, $80K avg enterprise contract, 4 new logos/year - Bull: 6% D2C conversion, 55% user growth (sustained 2023 momentum), $120K avg contract, 6 new logos - Bear: 2% D2C conversion, 20% user growth, $50K avg contract, 2 new logos; grant revenue zero - **Required sheets / outputs:** 1. Assumptions - all drivers with toggle for Base/Bull/Bear 2. User Funnel - registered → active → paid; monthly cohort table 3. D2C Revenue - MRR/ARR by cohort, churn waterfall 4. Enterprise Revenue - client count × ACV, renewal matrix 5. Non-dilutive Revenue - grant schedule 6. P&L - consolidated IS (Revenue, COGS, Gross Profit, OpEx by line, EBITDA) 7. Cash Flow & Runway - monthly burn, cash balance, months of runway 8. Dashboard - KPI summary (users, paid subs, ARR, enterprise clients, burn, runway) ## Frequently asked questions ### Is the SUMA Wealth financial model free? Yes. The SUMA Wealth 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.