Stayflexi Financial Model
Marketplace Startup Financials (Free Excel Download)
Modern operating system for hotels and vacation rentals - SaaS management platform plus transactional upsell engine
professionals from Deloitte
Used by professionals from
About this model
Stayflexi is an operating system for hotels and vacation rentals that combines property management with a digital sales engine. It manages reservations, channels, housekeeping, revenue, payments, and operations while enabling guests to purchase upgrades, early check-in, late check-out, and in-room services.
The company reported 650 properties and more than 10,000 rooms managed, growing properties 30% month over month. Its business has two revenue streams: recurring per-property software fees and a transactional share of upsell and ancillary sales processed through the platform.
The model separates property SaaS ARR from guest-transaction revenue. Properties live, rooms, ARPU, and churn build subscription revenue; occupied rooms, upsell attach, average ancillary spend, and take rate build marketplace revenue. Property onboarding, hotel retention, payment costs, and guest adoption determine margin.
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 Stayflexi
stayflexi.com
How to build a detailed financial model for Stayflexi
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Stayflexi model - distilled from its pitch deck and publicly available information.
Product & value proposition
Stayflexi OS is a unified hotel property management system (PMS) built around guest flexibility and revenue automation. Two engines:
- Management Engine (SaaS): Reservations management, channel management, inventory calendar, housekeeping, revenue management, POS/shops, accounting, staff management, access control, reporting
- Sales Engine (Transactional): Direct website booking, booking extensions (early check-in / late check-out), pre-check-in upsell purchases, in-room purchases, contactless payments
Guest journey is fully digitised: reserves via OTA/direct site → self check-in via WhatsApp → self-upgrades → in-room orders → booking extension → self-checkout. Platform also supports post-stay review management and guest retention/retargeting.
Key value claim: a single flexible booking example would add $300 of incremental revenue and save 30 minutes of hotel staff time.
Market
No explicit TAM/SAM/SOM dollar figures in the deck.
Context provided:
- 80% of guests ask for early check-ins / late check-outs, yet few hotels can provide them
- Vacation rentals projected to grow 5x in the next 3 years post-COVID, fuelled by Airbnb
- Deloitte Hospitality Outlook cited as source for alternative revenues, automations, and guest connectedness
Revenue model
Two-stream model:
- SaaS subscription - Management Engine; recurring monthly/annual fee per property. No price point disclosed in deck.
- Transactional revenue - Sales Engine take-rate on upsell transactions (early check-in, late check-out, in-room orders, room upgrades, booking extensions, ancillary services). No take-rate % disclosed.
Distribution channels shown: Airbnb, Google, Booking.com, Expedia, TripAdvisor (OTA channel management), plus direct website. Payment infrastructure via Stripe and Shift4 Payments.
Traction & metrics
- 650 properties on platform
- 10,000+ rooms managed
- 30% MoM property growth
- Growth chart (slide 13): 60 properties in Jan 2020 → ~150 May 2020 → ~325 Sep 2020 → 650 Feb 2021
- Funding raised: $1.6M
- Target implied by opportunity slide: 3,000+ properties in US & India
Unit economics
Single illustrative data point: one flexible-booking guest interaction adds ~$300 revenue per booking while saving 30 min of staff time - not a stated average, presented as example.
Competition / moat
Implicit moat: end-to-end control of the booking funnel from search through post-stay; integrations with all major OTAs, Google, Airbnb plus WhatsApp-native self-service reduce switching friction; YC backing signals quality bar.
Team & funding ask / use of funds
Team:
- Venkatesh Sakamuri - CEO / Product; MS CS Carnegie Mellon; ex-Oracle
- Preetam Shetty - CTO / Tech; MS CS Cornell; ex-Oracle
- Sasank Talasila - CIO / UI; MS CS Cornell; ex-Oracle
Funding:
- Raised to date: $1.6M
- No explicit ask amount, valuation, or use-of-funds breakdown in deck
Recommended financial model
- Archetype + why: Dual-stream SaaS + transactional marketplace model. The Management Engine is a classic per-property SaaS subscription. The Sales Engine is a GMV/take-rate layer on top - similar to how Toast or Mindbody layer payments on PMS. Both streams must be modelled separately because their growth drivers, margins, and predictability differ significantly.
- Forecast horizon & granularity: 3 years monthly (Year 1 monthly detail, Years 2–3 quarterly then annual roll-up). Monthly is essential to capture the MoM property growth curve.
- Key drivers & assumptions:
| Driver | Value |
|---|---|
| Properties at model start | 650 |
| MoM property growth rate | 30% |
| Average rooms per property | ~15 |
| Monthly SaaS fee per property | $150–$300 |
| Average upsell revenue per occupied room-night | $25–$50 |
| Transactional take rate | 10–20% |
| Average occupancy rate (hotel customers) | 60% |
| Average room rate (for transaction GMV sizing) | $100 |
| SaaS gross margin | 75% |
| Transactional gross margin | 50% |
| Blended S&M % of revenue | 30% |
| Monthly churn (properties) | 2% |
| Headcount growth | model as % of revenue until revenue data available |
- Scenarios (Base / Bull / Bear - which variables flex):
- Bull: MoM growth sustains at 25–30% for 12 months, ACV per property at top of range ($300/mo), take rate 20%, churn 1%
- Base: Growth decelerates to 10–15% MoM by month 12 as TAM concentration hits; ACV $200/mo; take rate 15%; churn 2%
- Bear: Growth falls to 5% MoM (execution / market saturation in India); ACV $150; take rate 10%; churn 3.5%
- Required sheets / outputs:
- Assumptions - all drivers above with scenario toggles
- Property Cohort Model - monthly new property adds, churn waterfall, active property count
- SaaS Revenue - active properties × monthly ARPU
- Transactional Revenue - active properties × avg rooms × occupancy × room-night AOV × take rate
- P&L - blended gross profit, OpEx (S&M, R&D, G&A), EBITDA
- Cash & Runway - starting from $1.6M raised; monthly burn; months of runway
- KPI Dashboard - ARR, properties, rooms, GMV, take-rate revenue, blended ARPU, LTV/CAC (when data available)
Frequently asked
Is the Stayflexi financial model free?+
Yes. The Stayflexi 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 Stayflexi'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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