# Zoe Financial Financial Model Two-sided marketplace matching mass-affluent consumers ($250k–$1M liquid assets) with vetted independent financial advisors via a proprietary 20-factor algorithm. - Canonical: https://finamodel.com/startups/zoe-financial - Excel download: https://finamodel.com/startup-models/zoe-financial.xlsx - Category: Fintech - Model type: Marketplace / GMV - Funding round: Seed - Founded: 2019 - Geography: United States. - Customer: B2B2C ## About the company Zoe Financial is a two-sided marketplace matching mass-affluent consumers with vetted independent financial advisors using a proprietary matching algorithm. It targets households with meaningful liquid assets that want help choosing an advisor rather than navigating the market alone. Zoe earns a share of the advisor’s recurring, AUM-based revenue rather than charging listing or per-lead fees. Content-led acquisition and an education process bring consumers into the platform, while long-lived advisor relationships can create recurring revenue on placed assets. The model should forecast consumer leads, matched clients, funded-advisor conversion, client AUM, advisor fee rate, and Zoe’s revenue-share percentage. Cohort retention, net flows, market appreciation, advisor capacity, and content-acquisition cost should show how marketplace placements compound over time. ## 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 consumers:** Search and hire a fiduciary, independent RIA advisor without relying on referrals or cold outreach. Instant communication, smooth onboarding experience. - **For advisors:** Outsource marketing and client acquisition at the click of a button; focus on servicing rather than selling. Advisors receive a "Delightful Profile," client generation, and practice analytics. - Vetting is proprietary: only ~5% of advisor applicants accepted, screened across credentials/experience, fiduciary/transparency standards, clean regulatory records, and a full assessment. ## Market - Target segment: 16M US households with $250k–$1M avg. liquid assets, aged 35–55, seeking holistic financial planning over portfolio management. - TAM framing: $85T investable assets × 1% advisor fee = $85B revenue opportunity. - Market growth: RIA (independent advisor) market share has grown from ~10% to ~30% over 15 years. No CAGR figure provided. ## Revenue model - Zoe takes a % of the advisor's recurring revenue (AUM-based advisory fee). - The exact % is redacted/blurred in the image. No explicit number in the text. - Explicit negatives: no network/listing fees charged to advisors; no fee-per-lead model. - Revenue is therefore recurring (trails the advisor's AUM-based fee stream), not transactional. - Marketing / client acquisition: content-led (SEO/blog/editorial) for consumer lead generation, plus an "Engage & Educate" nurture step. ## Traction & metrics - Milestones slide (slide 12) lists three KPIs - Happy Clients, Managed Assets, Advisor Applications - but all numerical values are redacted/blurred in the image. No figures extractable. - Two advisor testimonials present (qualitative only). - No ARR, revenue, GMV, client count, or growth rate numbers visible anywhere in the deck. ## Competition / moat - Zoe positions against two competitor archetypes: - **Managed directories/listings** (e.g. NAPFA, SmartAsset-style listing): revenue model = listing fee; advisor curation = none; trust = low; CX = low. - **Lightly managed / pay-per-lead** (e.g. SmartAsset, WiserAdvisor): revenue model = pay per lead; advisor curation = low; trust = low; CX = low. - **Zoe** (revenue sharing): high curation, high trust, high CX - positioned as the premium, curated tier. - Moat claims: 5% advisor acceptance rate; proprietary 20-factor matching algorithm; content/education flywheel for consumer trust. - "Fiduciary ruling" (DOL rule, ultimately struck down) educated consumers on advisor conflicts of interest - cited as a secular tailwind. ## Team & funding ask / use of funds - Founder/CEO: Andres Garcia-Amaya (andres@zoefin.com). - Team slide shows 6 members (names/bios redacted/blurred in image). - Investors: 6 investors shown (names/logos redacted in image). ## Recommended financial model - **Archetype + why:** Marketplace / revenue-share model with SaaS-style recurring revenue. Zoe's take-rate on advisor AUM fees means revenue compounds as placed clients accumulate AUM and stay with advisors - a GMV/take-rate structure with high retention characteristics. Best modelled as a marketplace GMV model (advisors' AUM × take-rate) with cohort-based client accumulation. - **Forecast horizon & granularity:** 5 years; monthly for Year 1 (cash burn visibility), quarterly thereafter. - **Key drivers & assumptions:** - Number of active advisors on platform - Advisor acceptance rate: 5% - drives advisor supply growth from applicant funnel - New clients matched per month - Avg. client AUM placed: $500k - Advisor fee rate: 1% of AUM per year - Zoe take-rate: % of advisor recurring revenue - Client retention / churn: - AUM market appreciation: - CAC (consumer): - Headcount & opex: - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: slow advisor supply ramp, low client conversion, take-rate at low end, higher churn - Base: moderate ramp, midpoint take-rate assumption, 87% client retention - Bull: fast advisor network growth, higher avg. AUM placed, take-rate at high end, low churn + AUM appreciation tailwind - **Required sheets / outputs:** - Assumptions (all toggles: take-rate, AUM, advisor ramp, churn, AUM growth rate) - Advisor Supply model (applicants → accepted → active → churned) - Client Cohort model (monthly cohorts; AUM placed, retained AUM, fee revenue per cohort) - P&L (Revenue = placed AUM × advisor fee × take-rate; Opex = headcount, marketing, tech, G&A) - Cash / Runway (burn rate vs. funding; key for pre-revenue stage) - KPI Dashboard (active advisors, total clients matched, AUM placed, GMV, take-rate revenue, months of runway) ## Frequently asked questions ### Is the Zoe Financial financial model free? Yes. The Zoe Financial 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.