Zoe Financial Financial Model
Fintech Startup Financials (Free Excel Download)
Two-sided marketplace matching mass-affluent consumers ($250k–$1M liquid assets) with vetted independent financial advisors via a proprietary 20-factor algorithm.
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About this model
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.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Zoe Financial
zoefin.com
How to build a detailed financial model for Zoe Financial
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Zoe Financial model - distilled from its pitch deck and publicly available information.
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
Is the Zoe Financial financial model free?+
Yes. The Zoe Financial model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Zoe Financial's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
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