Fast Financial Model
Fintech Startup Financials (Free Excel Download)
Fast is a universal 1-click checkout and login layer for e-commerce, eliminating passwords and multi-step checkout flows.
professionals from Deloitte
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About this model
Fast was a universal one-click checkout and login layer for e-commerce, designed to remove passwords and multi-step purchase flows. It aimed to help merchants increase conversion while giving consumers a reusable identity across participating stores.
The product’s commercial logic resembles other checkout networks: merchant adoption creates checkout volume, and a growing consumer identity network can improve the value of the service to each merchant. The research does not disclose confirmed pricing or a take rate.
The model should forecast merchants, active shoppers, checkout conversion, purchase frequency, and average order value to derive GMV. Apply a merchant transaction fee and, if relevant, a subscription layer; retention, merchant acquisition cost, and payment-processing expense are the key sensitivities.
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 Fast
fast.co
How to build a detailed financial model for Fast
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Fast model - distilled from its pitch deck and publicly available information.
Product & value proposition
Three core products:
- Fast Checkout - 1-click checkout embedded on merchant sites. Consumer sees a pre-filled form; order confirmed in one click.
- Fast re/Order - Zero-click reorder of previously purchased items directly from product pages or via timeline.
- Fast Login - Passwordless, universal login across merchant sites using email.
Post-purchase layer (Fast Timeline): unified receipt, delivery tracking, refunds, and subscription management across all Fast merchants in one consumer dashboard.
Platform integrations: Shopify, WooCommerce, Magento, BigCommerce, Salesforce Commerce Cloud, SAP.
Security stack: Stripe, Very Good Security (VGS), Google Cloud.
Value prop to merchant: reduced cart abandonment, higher conversion. Value prop to consumer: no passwords, no re-entry of shipping/payment details.
Revenue model
Not explicitly stated in deck. No pricing slide, no take-rate or fee structure shown. Standard checkout/payment middleware model: Fast likely earns a per-transaction fee (basis points on GMV processed) charged to the merchant, analogous to PayPal/Bolt. Rationale: competitive context lists PayPal and Bolt as primary competitors; Stripe is a security/infrastructure partner not a revenue-sharing partner per the deck. Possible secondary revenue: SaaS subscription or setup fee for merchant integration, common in this category.
Traction & metrics
No revenue, transaction volume, merchant count, GMV, or consumer adoption numbers are shown anywhere in the deck.
Only qualitative traction signals:
- Social proof from investors, VCs, and Twitter users indicating the product exists and has early buzz
- CEO previously led an on-demand towing company in Australia that "transacted $50M in 4 years" - this is founder background, not Fast traction
- Deck appears to be a very early seed-stage deck with no live metrics
Competition / moat
Primary competitors named: PayPal, Bolt, Shopify (Shop Pay), Apple Pay.
Fast's claimed differentiation:
- Platform agnostic - works on every device and platform (vs. Shopify limited to Shopify merchants, Apple Pay limited to Apple devices)
- Consumer-centric - reduces friction while maintaining security
- Login + Payments + Identity combined - competitors focus on either auth OR payments, not both
- Distribution - claims it will have the largest merchant distribution (forward-looking, no evidence provided)
Team & funding ask / use of funds
Team:
- Domm Holland - Co-founder & CEO. Serial technical entrepreneur; prior company transacted $50M in 4 years (on-demand towing, Australia).
- Allison Barr Allen - Co-founder & COO. Former Head of Global Product Operations, Money Team at Uber (scaled 2k → 26k employees). Active angel investor in fintech/marketplaces.
- Jason Alderman - CCO (Comms + Gov). Former Global VP of Communications at Visa (9 years), DraftKings, CloverHealth.
- + teams with backgrounds from Uber, Google, Square, Postmates, Shopify, Bond, Synapse, Walmart, Wish
Investors: Stripe, Index Ventures, SUSA Ventures, Kleiner Perkins (KPCB), GFC, Rocket Internet, plus unnamed industry angels (media, travel, retail, e-commerce, security, technology).
Recommended financial model
- Archetype + why: Payments / checkout infrastructure GMV model with merchant SaaS overlay.
Fast sits between the consumer and merchant at point of transaction - the natural model is a GMV-driven take-rate P&L, identical to how Bolt, Klarna, or PayPal Checkout are modeled. Revenue = GMV processed × net take rate (basis points). If a SaaS/setup fee component exists, layer a merchant count × ARPU SaaS line on top.
- Forecast horizon & granularity:
Monthly for Year 1–2 (early-stage, high variance); quarterly for Years 3–5. 5-year horizon appropriate for a seed-stage payments infrastructure play.
- Key drivers & assumptions:
- Scenarios (Base / Bull / Bear - which variables flex):
- Bull: Rapid Shopify/WooCommerce plugin adoption drives merchant count 3–5× base; take rate holds at 1%+; consumer network effect reduces CAC per merchant materially.
- Base: Steady merchant ramp via direct sales + platform marketplaces; 0.75% blended take rate; growing but not viral consumer adoption.
- Bear: Shopify launches competing product (Shop Pay expansion) or Apple Pay/Google Pay commoditizes the space; merchant acquisition stalls; take rate compressed to <50 bps.
- Required sheets / outputs:
- Assumptions dashboard (all drivers in one place)
- Merchant cohort model (by integration month, GMV ramp, churn)
- GMV → Revenue bridge (take rate × GMV)
- P&L (Revenue, COGS/processing costs, Gross Profit, Opex by function, EBITDA)
- Headcount plan (by department)
- Cash / runway (seed capital burn vs. revenue ramp)
- Scenario toggle (Bull/Base/Bear)
Frequently asked
Is the Fast financial model free?+
Yes. The Fast 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 Fast'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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