# Bolt Financial Model

One-click checkout network that lets shoppers transact across any Bolt merchant with a single identity.

- Canonical: https://finamodel.com/startups/bolt
- Excel download: https://finamodel.com/startup-models/bolt.xlsx
- Category: Fintech
- Model type: Marketplace / GMV
- Funding round: Series D

- Founded: 2021
- Geography: US-primary (merchant logos are US brands); international scope implied ("global network" language) [DECK slide 2].
- Customer: B2B2C

## About the company

Bolt operates a one-click checkout network that lets shoppers use a single identity across participating merchants. The product is designed to improve conversion and repeat purchasing by removing repeated account creation and checkout friction.

Its commercial model depends on both sides of the network: merchants adopt checkout infrastructure, while returning shopper identities make that infrastructure increasingly valuable. The research does not disclose a confirmed price card or take rate.

The model should connect active merchants, shopper accounts, purchase frequency, and average order value to GMV. Apply a merchant transaction take rate and, if used, platform fees; then test conversion uplift, merchant retention, and network-driven acquisition costs as core value drivers.

## 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

- Bolt sits between merchants and shoppers as a hosted checkout layer.
- For shoppers: one account / one-click purchase across all Bolt merchants (no per-site credential creation).
- For merchants: higher conversion (75% Bolt shopper vs. 49% guest - a ~53% lift) and incremental GMV from the shared shopper pool.
- For Bolt: every new merchant adds shoppers to the network; every new shopper increases merchant value - a classic two-sided network flywheel.
- Three-phase roadmap: (1) build the checkout layer, (2) build the network, (3) ubiquitous "Bolt everywhere."
- End-market coverage: micro-merchants, mid-market, enterprise, platforms, portfolio groups, publishers, digital goods & subscriptions - claimed as uniquely broad vs. redacted competitors.

## Revenue model

Not explicitly stated in deck. Implied model based on product description:
- Transaction-fee on GMV processed through Bolt checkout (standard for checkout/payments infrastructure; typical range 0.5%–2.5% of GMV). Rationale: Bolt processes payments; merchant pays per transaction.
- Possible monthly SaaS platform fee layered on top for enterprise merchants. Rationale: common in checkout-as-a-service (e.g., Checkout.com, Stripe).
- No pricing page, take-rate, or revenue line shown in deck.

## Traction & metrics

- Network size: 5.6M one-click shoppers in Bolt's network
- Network growth: 180%+ YoY
- GMV on platform: "$XB GMV Live with Bolt" - exact figure redacted in image
- Network-driven transactions as % of GMV: grew from ~0.8% (Jan 2020) to ~4.7–5.0% (Apr–May 2021)
- Breakout verticals - network-driven GMV share, Jan 2020 → May 2021: Automotive 12%→31%, Clothing 3%→11%, Furniture 12%→49%
- Bolt shopper conversion rate: 75%
- Guest shopper conversion rate: 49%
- ~24 named merchant logos displayed; brands include Forever 21, Lucky Brand, Milk Makeup, Swiss Gear, Burt's Bees Baby

## Unit economics

- AOV lift: Bolt shoppers have 23% higher AOV vs. guest checkout
- Repurchase lift: Bolt shoppers 39% more likely to repurchase vs. guest checkout
- Checkout speed: 38% faster completion vs. guest checkout
- Conversion lift: 50% higher conversion rate vs. guest checkout (note: slide 5 states 75% vs. 49%, a ~53% relative lift; the "50%" figure on slide 7 appears to be rounded/approximated)

## Competition / moat

- Comparison table (slide 6) shows Bolt vs. two redacted competitors across end-market segments. Bolt claimed as the only player serving all segments (micro-merchant through publisher/digital goods).
- Moat thesis: network effects - each merchant adds shoppers; each shopper reduces friction on all future merchants. At claimed critical mass of 50M accounts, Bolt would power ~1/3 of a merchant's transactions before signing.
- Named competitors redacted; category implies PayPal One Touch, Shop Pay (Shopify), Amazon Pay, and fast-checkout challengers.
- "Conscious Culture" brand/employer-value-proposition highlighted as a retention/recruiting moat.

## Team & funding ask / use of funds

- Founder/CEO: Ryan Breslow
- No other team slides shown.

## Recommended financial model

- **Archetype + why:** GMV-based payments / checkout SaaS model. Bolt's economics are driven by gross merchandise volume flowing through the network, a take-rate on that GMV, and optionally a per-merchant SaaS fee. The network flywheel means shopper and merchant counts are co-dependent inputs. This is structurally similar to a two-sided marketplace model (Adyen/Stripe hybrid with network-effect overlay).

- **Forecast horizon & granularity:** 5 years (2021–2026), monthly for Year 1–2 (network ramp is nonlinear and monthly granularity captures the S-curve inflection), quarterly thereafter.

- **Key drivers & assumptions:**

| Driver | Seed value |
| -- | -- |
| Bolt network shoppers (base) | 5.6M |
| Shopper YoY growth rate | 180% (current) → normalizes to ~60% by Y3 |
| Target shoppers at critical mass | 50M accounts |
| GMV per active shopper per year | ~$800–$1,200 |
| Take-rate on GMV | 1.0%–1.5% of GMV |
| Merchant platform fee (monthly) | $0–$500/mo blended by tier |
| Bolt shopper conversion rate | 75% |
| Guest (baseline) conversion rate | 49% |
| AOV lift from Bolt shoppers | +23% vs. guest |
| Repurchase lift | +39% vs. guest |
| Network-driven GMV as % total | ~5% as of Apr 2021, trending up |
| Gross margin | 50%–65% (SaaS/payments infra typical) |
| S&M as % revenue | 40%–60% in growth phase |
| R&D as % revenue | 20%–30% |
| G&A as % revenue | 10%–15% |

- **Scenarios (Base / Bull / Bear):**
  - Flex variables: shopper growth rate, take-rate, merchant count, and network-driven GMV % penetration.
  - Bull: shopper growth stays >100% through Y3; take-rate 1.5%; network GMV% reaches 15% by 2024.
  - Base: shopper growth decelerates to ~50% by Y3; take-rate 1.0%; network GMV% reaches 8% by 2024.
  - Bear: growth competition from Shop Pay/PayPal compresses take-rate to 0.7%; shopper growth stalls at 30% by Y3.

- **Required sheets / outputs:**
  1. `Assumptions` - all input toggles; scenario selector.
  2. `Shopper & Merchant Model` - two-sided network build (shoppers, merchants, cross-network transaction penetration).
  3. `GMV Build` - GMV by cohort (merchant vintage), network-driven vs. direct.
  4. `Revenue` - take-rate revenue + SaaS fee revenue by merchant tier.
  5. `P&L` - gross profit, EBITDA, operating expenses (S&M, R&D, G&A), net income.
  6. `Cash Flow & Runway` - burn, fundraise timing (if modeling to next round).
  7. `KPI Dashboard` - Shopper count, Merchant count, GMV, take-rate, conversion lift, network GMV%.
  8. `Sensitivity` - take-rate × shopper growth; GMV × margin.

## Frequently asked questions

### Is the Bolt financial model free?

Yes. The Bolt 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.