# Front of the Pack Financial Model

Science-backed dog supplement brand targeting the preventive pet health market

- Canonical: https://finamodel.com/startups/front-of-the-pack
- Excel download: https://finamodel.com/startup-models/front-of-the-pack.xlsx
- Category: Health-tech
- Model type: Unit-economics / DTC
- Funding round: Seed
- Funding: $35M
- Founded: 2020
- Geography: US primary market; Global and EU cited in market data [DECK slide 9]
- Customer: B2B2C

## About the company

Front of the Pack is a science-backed dog-supplement brand focused on preventive pet health. It sells physical products directly online, positioning supplements as an ongoing wellness routine rather than a one-off purchase.

Repeat purchase and auto-ship adoption are the main commercial opportunities. Customer value depends on product efficacy, palatability, reorder cadence, and the ability to acquire pet owners efficiently while expanding baskets across supplement SKUs and maintaining reliable fulfilment.

The model tracks new customers, subscription mix, order frequency, SKU margin, CAC, fulfilment, and churn. It separates one-time and auto-ship cohorts, then forecasts product and packaging COGS, marketing spend, inventory, customer support, working capital, cash burn, and runway.

## 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

- Two SKUs shown:
  - "The One" - all-in-one daily dog supplement
  - "Move" - joint & mobility daily dog supplement
- Positioning: story-telling + science; "unconditional love, uncompromising science"
- Mission: lead the revolution on preventive pet health
- Core insight: most common vet diagnoses (obesity, arthritis, skin, dental, stress, GI) are preventable; existing market is reactive, misinformation-heavy, and underserved

## Market

- Global pet treats + supplements market: ~$8.5b (Treats ~$8b, Supplements ~$1.5b)
  - US portion of pet treats: ~$5b; EU: ~$2b
  - US portion of pet supplements: ~$0.8b (estimated from chart proportion)
- Annual growth rate for US pet supplements: ~3.5%–5% CAGR (2015–2023, stabilising ~5%)
- US online pet supplement sales: ~$150m (2017) → ~$225m (2018) → ~$285m (2019); CAGR 32.2%
- Hemp-derived pet supplies: ~$10m (2017) → ~$125m (2022); CAGR 57%
  - Pet share of hemp CBD sales grew from 9.4% (2017) to 19.3% (2022)
- Human supplement market (analogue / leading indicator): ~$30b (2016) growing to ~$55b (2024) at 7.5% CAGR
  - Global dietary supplements market predicted to reach $278b by 2024 (Grand View Research)

## Revenue model

- Products sold direct-to-consumer
- Channel: online / e-commerce
- No pricing, SKU cost, or order economics disclosed

## Competition / moat

- Market framing: "the market leader spot is open" in pet supplements - implicit claim of no dominant branded player
- No named competitors
- Moat narrative: science-led formulation + emotional brand storytelling; comparison to human supplement market trajectory

## Team & funding ask / use of funds

- Co-founders:
  - Neil Hutchinson (CEO): serial entrepreneur; founded Forward3D ($65m exit); acquired uSwitch ($120m exit, later part of $3bn Zoopla Group / Silver Lake deal); co-founded Forward Partners VC and Kindness.org
  - Chris Wilkinson (VP People & Ops): built leadership teams for NASDAQ/FTSE-listed startups; built team for Forward Partners, helped raise second fund from BlackRock (2017)

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## Recommended financial model

- **Archetype + why:** DTC subscription + one-time revenue model (similar to human supplement DTC brands - HelloFresh, Care/Of, etc.). The deck shows two physical SKUs sold direct, in a category with strong repeat-purchase / auto-ship conventions. Revenue = (new subscribers × monthly price) + (one-time buyers × AOV), with subscriber churn governing LTV.
- **Forecast horizon & granularity:** 3 years monthly (Y1–Y2 monthly, Y3 quarterly); subscription cohort tracking required from Month 1. Pre-revenue at deck date, so model starts with launch ramp.
- **Key drivers & assumptions:**

| Driver | Value |
| -- | -- |
| Launch date | Q1/Q2 2020 |
| SKUs | 2 (The One, Move) |
| Starting price per SKU / month | $40–$60 |
| New subscriber adds per month (Y1 avg) | 200–500 |
| % subscribers vs one-time buyers | 70% / 30% |
| Monthly churn rate | 8–12% |
| CAC (blended, paid + organic) | $60–$120 |
| COGS as % of revenue | 25–35% |
| Gross margin | 65–75% |
| Fulfilment / shipping cost | 8–12% of revenue |
| Contribution margin (post-fulfilment) | ~55–65% |
| Marketing spend as % of revenue | 40–60% (early) declining to 25–30% |
| Headcount (Y1) | 5–10 FTE |
| Online channel only | 100% |
| Online pet supplement market CAGR | 32.2% |
| Total addressable market (US supplements) | ~$0.8b |

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - **Bull:** CAC at low end ($60), churn 7%, subscriber growth 2× base; paid media scales efficiently
  - **Base:** CAC $90, churn 10%, moderate organic growth; market-rate 32% online growth tailwind
  - **Bear:** CAC $130+, churn 15%, competitive entrants raise paid media costs; slower subscriber ramp

- **Required sheets / outputs:**
  1. Assumptions dashboard (all inputs in one place)
  2. Subscriber cohort model (monthly new adds, churn waterfall, active subs by month)
  3. Revenue build (subscription MRR + one-time revenue by SKU)
  4. P&L - COGS, gross margin, fulfilment, contribution margin, S&M, G&A, EBITDA
  5. Cash flow & runway (burn rate, months of runway, break-even month)
  6. LTV / CAC summary (LTV by cohort, payback period)
  7. Scenario toggle (Base / Bull / Bear)
  8. KPI summary (MRR, active subs, churn %, CAC, LTV:CAC, gross margin)

## Frequently asked questions

### Is the Front of the Pack financial model free?

Yes. The Front of the Pack 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.