# Productfy Financial Model

API-first embedded finance / BaaS platform enabling non-bank companies to launch financial products (cards, accounts, ACH, credit) in weeks.

- Canonical: https://finamodel.com/startups/productfy
- Excel download: https://finamodel.com/startup-models/productfy.xlsx
- Category: Fintech
- Model type: SaaS ARR / Valuation
- Funding round: Series A
- Funding: $19M
- Founded: 2021
- Geography: US (founded 2018 [DECK, slide 02]); international remittances listed as future "escape velocity" product [DECK, slide 14].
- Customer: B2B2C

## About the company

Productfy is an API-first embedded-finance platform that lets non-bank companies launch cards, accounts, ACH, and credit products in weeks. It gives product teams a single infrastructure layer instead of requiring separate bank, KYC, and payments integrations.

The company combines per-unit fees for account opening, identity checks, and payments with platform pricing based on active users. Interchange and sponsorship economics add another revenue layer as customers put card products into market.

The model should forecast platform customers, monthly active end users, accounts opened, verification events, ACH volume, card spend, and associated fee yields. Subscription-like MAU revenue, usage fees, and interchange must be kept separate, with bank-partner and compliance costs deducted by product.

## 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

- Embedded finance platform that lets any company embed financial features (debit/credit card issuance, deposit accounts, ACH, KYC/KYB, data aggregation, credit builder) via UI widgets, GraphQL APIs, and SDKs.
- "FinTech-in-a-Box": unified due diligence, built-in compliance templates, multiple bank sponsors (Stearns Bank NA named), and a marketplace of strategic data/processor partners (Marqeta, Equifax, Envestnet Yodlee).
- Key time-to-market claim: launch in as little as 3 weeks vs. DIY 16–18 months.
- Proprietary omnipurpose general ledger on HADR (High Availability Disaster Recovery) platform with event-sourcing architecture.
- Strategic investors: Point72 Ventures, 500 Startups.

## Revenue model

Three monetization streams:

1. **Per-unit fees** (transaction-based):
   - ACH volume fees
   - Instant Account Verification (IAV) fees
   - KYC fees
   - Bank account opening fees

2. **Per-MAU platform fees**:
   - Monthly platform/subscription fee per active user
   - Data aggregation fees

3. **Interchange / sponsorship fees (BPS)**:
   - Card interchange revenue (basis points on spend)
   - Sponsorship fees from bank/network partners

GTM motion: "Land and Expand" - start clients on Money Movement (MM), expand to MM + Banking, then MM + Banking + Cards. Channels: direct outbound to competitor clients, direct outbound to fintechs via leads DB, strategic partner channels.

Future "escape velocity" revenue lines: international remittances, servicing infrastructure, elastic banking infrastructure, investments, bank white labeling, payment network, enablement services.

## Competition / moat

**Competitive positioning**:
- Slide 05 frames three weak incumbent archetypes: (1) Technology Only - no bank sponsor, incomplete; (2) Bank Expose APIs - charter limits functionality, can't achieve AWS scale; (3) Thin Veneer on Top of Bank - single charter, high friction and cost.
- Productfy's claimed moat: multi-bank-sponsor model for breadth + redundancy; unified compliance/due diligence layer; marketplace of strategic vendors; proprietary event-sourcing general ledger; AWS-style self-service onboarding.
- Slide 10 references "Our Competitors" section but no named competitors or comparison table is legible in text extraction; no specific competitor names appear in OCR.

## Team & funding ask / use of funds

- **Founder / CEO**: Duy Vo (duy.vo@productfy.io).
- No other named team members in the deck.
- **Ask**: $15M Series A.
- **Use of funds - milestones stated**:
  1. Commercial and Personal Debit and Credit Card Issuance
  2. Program Management for KYC, KYB, Credit, Deposit Accounts, and Credit Builder
  3. Money Transmittal License and Elastic Banking Infrastructure
  4. World-Class DevX and Self-Service Onboarding
- No explicit use-of-funds percentage split (engineering vs. sales vs. compliance) disclosed.

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## Recommended financial model

- **Archetype + why**: **B2B SaaS + usage-based / transaction revenue model** (sometimes called "platform + consumption"). Productfy has three blended revenue streams - a recurring per-MAU platform fee (SaaS-like), transaction/volume-based fees (usage-based), and interchange BPS (payment economics). The right model captures all three, with a client cohort build-up driving MAU × fee rate + ACH/IAV/KYC volume × unit price + card spend × interchange rate. This is structurally identical to how Marqeta and Galileo are modeled.

- **Forecast horizon & granularity**: 5-year model (Year 1–5), monthly for Year 1–2, quarterly for Year 3–5. Series A capital implies 18–24 month runway planning is the immediate need.

- **Key drivers & assumptions**:

  *Client acquisition*
  - New B2B clients signed per quarter
  - Average client ramp time to full utilization
  - Client segments: B2C fintech vs. B2B/SMB financial OS (slides 11–12 show two distinct journeys) - model separately

  *Per-MAU revenue*
  - MAUs per client
  - Monthly platform fee per MAU

  *Per-unit / transaction revenue*
  - ACH transactions per MAU per month
  - ACH fee per transaction
  - IAV per new user
  - KYC checks per new user

  *Interchange revenue*
  - Card-enabled MAUs as % of total MAUs
  - Monthly card spend per active cardholder
  - Interchange rate net to Productfy

  *COGS / gross margin*
  - Bank sponsor fees + partner pass-through costs
  - Compliance/program management headcount

  *Opex*
  - Engineering / DevX headcount ramp
  - Sales & GTM
  - G&A / compliance / legal

- **Scenarios (Base / Bull / Bear - which variables flex)**:
  - **Base**: 4 new clients/quarter, 1,500 avg MAU/client at steady state, 50% card attach rate
  - **Bull**: faster enterprise client wins (competitor client poaching per GTM slide), higher MAU/client (10,000+), interchange rate at top of range
  - **Bear**: slower client ramp, regulatory/MTL delays push card revenue out 12 months, lower MAU/client (500), higher bank-sponsor COGS

- **Required sheets / outputs**:
  1. **Assumptions** - all drivers in one tab, flagged vs.
  2. **Client Cohort Build** - quarterly client additions × MAU ramp curve
  3. **Revenue Schedule** - three streams (platform fee, per-unit, interchange) summed by month/quarter
  4. **P&L (Income Statement)** - Revenue → Gross Profit → EBITDA → Net Income
  5. **Headcount Plan** - by function (Eng, Sales, Compliance, G&A)
  6. **Cash / Runway** - $15M raise, monthly cash burn, months to zero
  7. **Scenario Toggle** - Base / Bull / Bear switchable via single input cell
  8. **Dashboard** - KPI summary: clients, MAUs, ARR, gross margin %, cash runway

## Frequently asked questions

### Is the Productfy financial model free?

Yes. The Productfy 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.
