# Card Blanch Financial Model

Card Blanch consolidates all a consumer's payment and loyalty cards into a single physical/digital card plus app, automatically routing each transaction to the card with the best reward or discount.

- Canonical: https://finamodel.com/startups/card-blanch
- Excel download: https://finamodel.com/startup-models/card-blanch.xlsx
- Category: Crypto/Web3
- Model type: SaaS ARR / Valuation
- Funding round: Angel
- Funding: $460K
- Founded: 2022
- Geography: USA (primary market) [DECK, slide 3].
- Customer: B2C

## About the company

Card Blanch combines a physical or digital card with an optimisation app that consolidates payment and loyalty cards. At checkout, it routes a transaction to the card with the user’s best reward or discount, turning portfolios into one experience.

The US-focused company was raising a $1 million seed round after closing $0.5 million from angels. Its monetisation is hybrid: users can pay a subscription, while merchant cashback or commission arrangements provide transaction-linked revenue. These lines have different economics and should not be collapsed into an ARPU assumption.

Forecast active users and cards first, then model subscription conversion, monthly payment volume, and the rate earned from merchant partners. Offset revenue with rewards, payment-network or partner costs, and customer acquisition. Sensitise retention and engagement because the proposition depends on users continuing to route spending through Card Blanch for savings to be tangible.

## 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

- Single ceramic or digital card that replaces 4 credit/debit cards and 10+ loyalty cards the average American carries.
- App connects all bank cards (Chase, BofA, Wells Fargo, US Bank, Citi shown) and loyalty/reward programs (Starbucks, Amazon, Walmart+, Zara, Chevron, 7-Eleven, Macy's shown).
- At point of sale, algorithm selects the connected bank card that yields the best reward or discount for that merchant; transaction is routed accordingly.
- App surfaces "best card to use" recommendations by merchant category, savings tracker, and full spending analytics by card and category.
- Differentiator: combines bank card routing AND merchant loyalty/reward management in one place; competitors (Fuze, Curve, Key Ring, Stocard) address only one side.

## Market

- Key market: USA.
- 176M cardholders in the USA with 1.06B cards in use (source: Statista, Nilsonreport, Shift).
- 144B purchase transactions projected 2025 USA.
- Total addressable market claimed: $11B.
  - $1.5B from discount/merchant transaction revenue stream.
  - $10B from monthly subscription model revenue stream.
- No market growth rate cited for the core TAM.

## Revenue model

Four stated streams:
1. **Merchant cashback** - Card Blanch receives a cashback/commission from merchants when their card routes a transaction to a merchant partner.
2. **User monthly subscription** - recurring fee charged to end-users (price not stated in deck).
3. **Up-sell on merchant rewards** - premium merchant reward tiers or featured placement sold to merchants.
4. **Up-sell on banking card** - presumably referral/distribution fee for onboarding new bank cards through the platform.

Pricing: No subscription price per user stated in deck.

## Traction & metrics

Projections (deck labels these "forward looking projections and can't be guaranteed"):

| Year | Revenue | Users |
| ----- | -------- | ------ |
| 2022 | $3M | 50k |
| 2023 | $18M | 300k |
| 2024 | $42M | 700k |

- $0.5M angel investment successfully raised.
- No live traction/actuals disclosed (product appears pre-launch or in MVP stage based on "Finalize product development" being a next step).

## Unit economics

- Implied revenue per user (from projections): $3M / 50k = $60/user in 2022; $18M / 300k = $60/user in 2023; $42M / 700k = $60/user in 2024.
- No CAC, LTV, gross margin, or payback period stated.

## Competition / moat

Competitors named: Fuze, Curve, Key Ring, Stocard.

Claimed differentiation:
- Competitors don't solve bank card + loyalty card together.
- No discount/offers management in existing solutions.
- Manual card-adding process in competitors; Card Blanch automates.
- Moat implied by routing algorithm and planned patent portfolio.

## Team & funding ask / use of funds

- Seed round: $1M.
- Previously raised: $0.5M angel.
- Use of funds: implied - product development finalization, go-to-market, marketing campaign, bank partner deals, patent portfolio.

## Recommended financial model

- **Archetype + why:** Consumer subscription + merchant revenue-share model (SaaS-style ARR layered with transaction-based revenue). Two distinct revenue lines (subscription fees and merchant cashback/commission) with different drivers; mirrors a two-sided marketplace economics but driven by user count as the primary lever.

- **Forecast horizon & granularity:** 3 years monthly (2022–2024 matches the deck's own projection period); show monthly for Year 1, quarterly for Years 2–3. Use deck projections as base case anchor.

- **Key drivers & assumptions:**

| Driver | Value / Basis |
| ------- | ------------- |
| Starting users (2022) | 50,000 |
| Users 2023 | 300,000 |
| Users 2024 | 700,000 |
| Monthly user growth rate (implied 2022→2023) | ~+500% YoY = ~17% MoM |
| Monthly subscription price per user | ~$5/month - consistent with $60/user/year implied ARPU from deck projections; needs confirmation |
| Subscription take rate (% of users paying) | 80–100% - deck treats subscription as the primary model |
| Merchant cashback / commission per transaction | small % (1–2%) of transaction value routed through platform; deck states $1.5B TAM from this stream |
| Average monthly spend per user routed through app | ~$500/month based on sample UI showing ~$4,800 monthly spend |
| Gross margin on subscription revenue | ~70–80% (software delivery + card issuance costs) |
| Gross margin on merchant cashback revenue | ~50–60% (pass-through to users as rewards offset) |
| CAC | $10–$30/user initially; aggressive marketing spend mentioned |
| Monthly churn | 3–5%; no retention data in deck |
| Seed capital deployed | $1M; $0.5M already raised |

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - Base: Deck projection trajectory ($3M → $18M → $42M revenue, 50k → 700k users).
  - Bull: Faster user growth (reach 700k by mid-2024), bank partnership signed early boosting merchant revenue stream.
  - Bear: Slower adoption (50% of deck user targets), higher CAC, subscription conversion rate 50%.
  - Flex variables: monthly user growth rate, subscription price, merchant commission rate, churn.

- **Required sheets / outputs:**
  1. Assumptions - all drivers in one place.
  2. User Cohort Model - monthly new users, churn, cumulative active users.
  3. Revenue Build - subscription revenue + merchant cashback revenue, monthly.
  4. P&L - revenue, COGS (card issuance, processing), gross profit, S&M (CAC × new users), R&D, G&A, EBITDA.
  5. Cash Flow & Runway - given pre-revenue / early stage and $1M seed.
  6. Scenario toggle - Base / Bull / Bear.
  7. Summary KPIs - ARR, users, ARPU, gross margin, runway (months).

## Frequently asked questions

### Is the Card Blanch financial model free?

Yes. The Card Blanch 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.