# Koala Financial Model

Peer-to-peer vacation marketplace where timeshare owners rent unused weeks directly to travellers, at up to 70% below hotel rates.

- Canonical: https://finamodel.com/startups/koala
- Excel download: https://finamodel.com/startup-models/koala.xlsx
- Category: Marketplace
- Model type: SaaS ARR / Valuation
- Funding round: Series A
- Funding: $3.4M
- Founded: 2020
- Geography: USA primary; global aspiration (slide 4 shows USA, Europe, Rest of World rental market breakdown).
- Customer: B2B

## About the company

Koala is a peer-to-peer travel marketplace where timeshare owners rent unused weeks directly to travelers. The product offers verified listings, secure peer-to-peer payments, and search tools designed to give travelers lower-cost alternatives to hotels and conventional vacation rentals.

The platform's primary revenue is a 10–15% commission on bookings, supplemented by a $75 full-service listing fee and a $169 annual owner subscription. At launch, it had hundreds of listings and positioned itself as a way to unlock underused timeshare inventory.

The model builds booking GMV from listed supply, availability, occupancy, average stay value, and traveler demand. A blended take rate produces transaction revenue, while listing fees and subscriptions provide additional income. Listing growth, utilization, trust and payment costs, and seasonal destination mix determine the marketplace's path to scale.

## 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

- Platform (mobile, tablet, web) connecting timeshare owners ("hosts") with travellers ("users").
- Owners list unused timeshare weeks; travellers book directly - bypassing resort/OTA pricing.
- Proprietary inventory search algorithm + 3-Easy-Step listing process + peer-to-peer wallet.
- Verified hosts, verified listings, secure payments.
- Value illustration (Honolulu, Hilton Hawaiian Village, Dec 14–21 2019, 2BR/sleeps 6):
  - Hilton hotel: $6,354/week
  - Airbnb condo: $5,198/week
  - Koala: $2,757/week ($375/night implied, $62/person/night)
- Phase II: "Go Somewhere New" exchange feature (coming soon at time of deck).

---

## Market

- Global timeshare rental market: $30.5B total
  - USA rental: $15.3bn
  - Europe rental: $6.5bn
  - Rest of World rental: $7.6bn
  - Global exchange market: $1.1bn
- Industry context: $20B+ global timeshare sales annually; 22M+ timeshare owners globally.
- Competitor scale benchmarks: RCI (industry leader) $7.5B business, 3M+ members; Interval International acquired 2018 for $4.7B (by Marriott Vacations Worldwide).

---

## Revenue model

Three revenue streams:

| Stream | Details |
| -- | -- |
| Rental commission (primary) | 10–15% per transaction (take-rate on GMV) |
| Full-service listing fee | $75 flat fee per listing (owner pays for full-service) |
| Subscription | $169/year (owner subscription) |
| Big data / traveller subscription | Flagged as future "opportunity" - not live |

- Traveller (user) side: booking fee or included in take-rate - not specified.
- Payment processing via proprietary peer-to-peer wallet; gateway fees excluded from headline model.

---

## Traction & metrics

- Beta product launched: October 2019
- First booking: October 6, 2019
- Listings on platform: "100s" at time of deck
- Financing to date: Self-funded + friends & family $225K raised
- Incorporated: February 2017, Delaware
- Trademark: KOALA™ registered (USA)

Traction chart (slide 18) - two projected series, key redacted. Data points read from image:

| Period | Series A (larger) | Series B (smaller) |
| -- | -- | -- |
| Yr1 Q1 | (near zero) | - |
| Yr1 Q2 | 435 | 36 |
| Yr1 Q3 | 726 | 60 |
| Yr1 Q4 | 2,175 | 180 |
| Yr2 H1 | 8,700 | 1,776 |
| Yr2 H2 | 9,135 | 1,863 |
| Yr3 | 72,184 | 24,632 |
| Yr4 | 227,813 | 91,125 |
| Yr5 | 392,400 | 196,200 |

Note: Series labels are redacted. Given the business model and scale, Series A likely = cumulative registered users/owners and Series B = active/paying users or bookings - exact interpretation. These appear to be forward-looking projections, not historical actuals (beta launched Oct 2019 with "100s" of listings).

---

## Unit economics

- Take-rate: 10–15% per transaction
- Implied AOV: ~$2,757/week booking (Honolulu example); revenue per transaction at 10–15% = ~$276–$414
- Subscription ARPU: $169/year per subscribing owner
- Full-service listing fee: $75/listing

---

## Competition / moat

Competitors on positioning matrix (Value vs. Control axes):
- **RCI**: low value, low control for owners - $7.5B business, 3M+ members
- **Interval International**: low value, low control - sold 2018 for $4.7B
- **RedWeek**: higher value, medium control
- **Vacatia**: moderate value, low control
- **Koala**: positioned top-right (high value, high control)

Moat claims:
- Only secure & accessible peer-to-peer timeshare rental marketplace
- Proprietary inventory search algorithm
- Proprietary peer-to-peer wallet
- Inside industry network (direct club/owner access)
- Advisory board includes former Global CEO & President of RCI (Ken May), former Global Head of Airbnb (Shaun Stewart), former VP Global Online Strategy RCI (Jennifer Zuklie), former Product Director HomeAway/Expedia (Patrick Duncan)

---

## Team & funding ask / use of funds

**Management team**:
- Mike Kennedy - Co-founder & CEO; 10+ years Hilton Grand Vacations (master sales executive)
- James Burbridge - Co-founder & COO; 20+ years digital media, web/mobile
- Chris Johnson - CTO; former CTO of Weholi (timeshare rental & exchange platform)
- Jeff Ruiz - MD; 10+ years hospitality, CRM, systems management

**Advisory board** (selected):
- Ken May - former Global CEO & President, RCI; Walt Disney Co. SVP Disney Vacation Club
- Shaun Stewart - CEO NewLab; former Global Head Airbnb; former CEO Jetsetter; former Comms Officer Google Waymo
- Jennifer Zuklie - former VP Global Online Strategy & Development, RCI
- Patrick Duncan - former Product Director HomeAway/Expedia Group

**Funding ask**: $3.5M raise

**Use of funds**:
| Category | % | Implied $M |
| -- | -- | -- |
| Marketing | 57% | $2.0M |
| Personnel | 30% | $1.05M |
| Development | 13% | $0.46M |

**24-month investment strategy** (slide 19): headcount columns for Technical, Marketing, Admin/Sales, Senior Management - all dollar values redacted. Percentages align with use-of-funds split (13% / 57% / 13% / 17% by function).

---

## Recommended financial model

- **Archetype + why**: Marketplace GMV / take-rate P&L model. Koala is a two-sided marketplace (owner-host supply, traveller demand) with a percentage take-rate as its primary revenue stream, augmented by flat fees and subscriptions. Correct archetype is a marketplace operating model: build GMV from supply (listings) × demand (bookings/utilisation), apply blended take-rate, then layer flat fees and subscription ARPU on top. A SaaS ARR model would misrepresent the transaction-heavy core.

- **Forecast horizon & granularity**:
  - Yr1: quarterly (Q1–Q4) to match deck's traction cadence
  - Yr2: semi-annual (H1/H2) - matches deck
  - Yr3–Yr5: annual
  - Total: 5-year integrated forecast

- **Key drivers & assumptions**:

  *Supply side (owner/listings)*
  - Active listings at launch: ~100s; use 200
  - Listing growth rate Yr1–Yr2: ~4× per year, calibrated to traction chart Series B trajectory
  - Mix: free listings vs. paid full-service ($75 flat fee)
  - Subscription penetration: % of active owners on $169/year plan

  *Demand side (bookings/GMV)*
  - Average booking value (ABV): $2,757/week blended ABV $1,200–$1,500/booking]
  - Bookings per active listing per year:
  - Utilisation ramp: low in Yr1 (marketplace cold-start), scaling through Yr3+

  *Revenue*
  - Take-rate: 10–15% of GMV; blended 12%
  - Full-service listing fee: $75 × paid listings
  - Owner subscription: $169/year × subscribing owners
  - Big data / traveller subscription: excluded from base case (flagged as opportunity only)

  *Cost structure* (from slide 19/20 structure, values redacted):
  - Staff costs - categories: Technical, Marketing, Admin/Sales, Senior Management
  - Technical development (capex/opex)
  - Travel costs
  - App & Web costs
  - PR & Marketing (~57% of raise = ~$2M over 24 months)
  - Koala Foundation (CSR line item, unknown quantum)
  - COGS = payment processing fees (~2–3% of GMV) + trust & safety + hosting

  *Funding*
  - $225K self/F&F raised to date; $3.5M new raise
  - No debt or equity structure disclosed beyond this

- **Scenarios (Base / Bull / Bear)**:
  - Flex variables: ABV, take-rate, listing growth rate, bookings/listing utilisation, marketing efficiency (CAC implied by 57% marketing spend)
  - Bull: ABV $2,000+, 15% take-rate, 8× listing growth Yr1→Yr2, viral owner acquisition
  - Base: ABV $1,300, 12% take-rate, 4× listing growth, marketing-driven supply acquisition
  - Bear: ABV $900, 10% take-rate, slow supply ramp, high CAC, delayed product-market fit

- **Required sheets / outputs**:
  1. Assumptions - all drivers, colour-coded by /
  2. Supply model - listings added, active listings, paid vs. free mix, subscription owners
  3. GMV model - listings × utilisation × ABV
  4. Revenue - take-rate revenue, flat fees, subscriptions, blended ARPU
  5. Opex / headcount plan - by function (Technical, Marketing, Admin/Sales, Senior Management), per slide 19 structure
  6. P&L summary - Revenue, COGS, Gross Profit, Opex by line, EBITDA, D&A, EBIT, Margin (matches slide 20 structure)
  7. Cash / runway - use of $3.5M raise by bucket (Marketing 57%, Personnel 30%, Development 13%)
  8. Traction chart - replicate slide 18 with assumptions unlocked (label the two series properly once defined)
  9. Scenarios - toggle Base/Bull/Bear on a single driver sheet

## Frequently asked questions

### Is the Koala financial model free?

Yes. The Koala 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.
