# Point.me Financial Model Award-flight search and booking platform that helps consumers redeem loyalty points and miles for maximum value - Canonical: https://finamodel.com/startups/pointme - Excel download: https://finamodel.com/startup-models/pointme.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Series A - Funding: $10M - Founded: 2023 - Geography: US-focused (searches US airlines, card programs); some international coverage implied by 150+ airline search - Customer: B2C ## About the company Point.me is an award-flight search and booking platform that helps consumers use loyalty points and miles more effectively. It reduces the complexity of finding reward availability and assessing the value of different redemption options. The business combines consumer software, concierge services, and possible B2B or white-label partnerships. This creates distinct monetisation paths: subscriptions or service fees from travellers and licensing economics from partners. The model separates consumer acquisition, active members, paid conversion, and concierge attach from B2B partner contracts. It tracks bookings or searches where relevant, service delivery, retention, gross margin, marketing spend, and cash needs by revenue stream. ## 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 - Aggregated search across 30+ credit card and airline reward programs, 150+ airlines - Self-serve tool: users find cheapest award redemption in one search vs. manually checking each airline portal - JAMES Concierge: 55+ points experts do the search and booking end-to-end for high-touch clients - Key value claim: typical consumer gets $0.01/point; point.me customers average $0.06–$0.12/point - 6–12x uplift - Illustrative example: NYC→Maldives business class costs 493,080 pts via Amex Travel vs. 70,000 pts via point.me (savings of ~423,000 pts / ~$5,000) - White-label / co-brand integrations for card issuers - B2B employee travel program (corporate books business/first class with points, saving cash travel budgets) - Affiliate channel: travel agencies (200+ advisor firms) reselling concierge ## Market - $48B USD in points & miles issued annually - $16B USD in points & miles unredeemed annually - ~10 trillion points & miles in circulation, estimated value $165B USD - "Frequent flyer miles are likely the second largest currency in the world. Larger than Bitcoin." - The Economist - No explicit TAM/SAM/SOM slide or market-growth CAGR in deck. Market sizing is presented as loyalty currency stock, not addressable revenue to point.me. ## Revenue model Four revenue streams identified: 1. **Consumer subscription** - self-serve platform access (subscription tier implied; pricing not shown in deck) 2. **Concierge fees** - JAMES Concierge white-glove booking service; revenue described as "$2M in revenue" from concierge; fee structure (flat fee per booking vs. % of savings) not specified 3. **White-label / co-brand integrations** - licensing/API access sold to card issuers (~1M targeted members per deal referenced); deal economics not disclosed 4. **B2B corporate travel** - discounted subscription + concierge pricing to enterprises and consultancies 5. **Affiliate** - revenue share with travel agencies for concierge referrals Note: Deck does not break out revenue by stream or show pricing schedules. ## Traction & metrics - 26,000+ subscribers signed up with no marketing - $2M in total revenue (consumer services, primarily concierge) - 4.3% churn (subscriber churn; period not specified) - Paid marketing launching in 2023 (deck appears to be from ~late 2022) - White-label: 6-month co-brand deal with "major card issuer" reached ~1M targeted cardholders; "highest engagement, conversion, and NPS scores of any partnership in the last five years" for that issuer - no numeric KPIs disclosed - New co-brand partnership signed (name undisclosed) - Affiliate: onboarding new travel agency partners weekly; concierge revenue "rising above pre-pandemic highs" - B2B: two US tech companies signed; one large consultancy - no ARR figures - Media coverage: NYT, Forbes, Bloomberg, WSJ, Condé Nast Traveler, TechCrunch, GMA, Business Insider, Washington Post ## Unit economics - Average value per point for point.me customers: $0.06–$0.12 vs. $0.01 industry baseline - Churn: 4.3% (period unspecified - assumed monthly given SaaS context) ## Competition / moat Competitors not named explicitly; moat framed as three interlocking assets: - **Knowledge & business logic**: proprietary rules/algorithms for parsing redemption rules across all programs - **Relationships & reputation**: team has longstanding ties to major card issuers and airlines; key for partnership deals - **Technology & product**: real-time award search + quality control + UX Implicit competitive threat from: award-search blogs/tools (The Points Guy, AwardHacker, ExpertFlyer), airline own portals, and potential in-house builds by card issuers. ## Team & funding ask / use of funds **Team**: - Adam Morvitz - CEO & Founder - Tiffany Funk - President & Co-Founder - Sanjay Sharma - Head of Product - Lewis Hall - Head of Engineering - Jordan Rozum - Director, Product Development - Gilbert Ott - Lead, Strategic Partnerships - Ngozi Nkwoji - Director, Growth - Jimmy Yoon - Director, Client Services - 55+ concierge experts **Funding**: - $2M seed raised - Investors: PAR Capital, Google Flights / ITA Software Founders, WndrCo / Jeffrey Katzenberg / Sujay Jaswa, Gaingels, Chantal Noble Haldorsen (Certares), Ron Levin (Yard Ventures / Alumni Ventures) --- ## Recommended financial model - **Archetype + why**: Multi-stream consumer SaaS + marketplace/concierge P&L. The business has a recurring subscription base (SaaS ARR logic for self-serve) layered with a high-margin transactional concierge revenue line, plus B2B/white-label deal revenue. A 3-statement model is overkill at seed; a detailed revenue-build + P&L with scenario analysis is appropriate. - **Forecast horizon & granularity**: Monthly for Year 1–2, quarterly for Year 3. 3-year total horizon is standard at seed stage for this type of raise. - **Key drivers & assumptions**: *Subscriber base* - Starting subscribers: 26,000 - Monthly new subscriber adds (organic): ~1,500/month pre-paid-marketing, scaling with paid spend from 2023 - Monthly churn rate: 4.3%; this is monthly churn given SaaS framing - Monthly subscription price: $9–$19/month (typical for award-search SaaS; not in deck) - Paid marketing start: 2023; CAC $30–$60 given B2C fintech/travel comps *Concierge* - Revenue to date: $2M - Concierge bookings per month: derived from revenue run-rate; pricing per booking not disclosed - Concierge fee per booking: $150–$500 flat or % of points-value-saved; sensitivity required - Concierge team headcount: 55+ experts; assumed variable with booking volume - Margin: 50–70% gross after labor (concierge staff) *White-label / B2B* - Deal 1: ~1M targeted card members, 6-month pilot; annual contract value $500K–$2M (range; no deal economics disclosed) - B2B corporate: 2 tech companies + 1 consultancy; deal values $50K–$200K ARR each - Pipeline conversion: 1–2 new enterprise/white-label deals per year in base case *Affiliate* - Revenue share per concierge booking sourced via agency: 15–25% of concierge fee - Partner agencies: weekly onboarding implied; ramp *Cost structure* - Concierge staff (55+): largest OpEx item; $50–$80K fully-loaded per expert - Engineering & product (headcount per slide 14): 10–15 engineers at $150K blended - G&A, marketing: standard startup ratios - **Scenarios (Base / Bull / Bear - which variables flex)**: - **Base**: Organic subscriber growth ~1,500/mo, paid marketing kicks in mid-2023 driving 3,000–5,000 net adds/mo; 1 new white-label deal/year; churn holds at 4.3%/mo - **Bull**: Paid marketing succeeds, CAC <$30; churn improves to 2–3% with product improvements; 2 white-label deals/year at higher ACV; concierge scales to $5M+ ARR - **Bear**: Paid marketing underperforms; CAC >$80; churn worsens to 6%+; white-label deals delayed; concierge capacity constrained - **Required sheets / outputs**: 1. Assumptions dashboard (all tagged drivers in one place) 2. Subscriber cohort model (monthly adds, churn, ending subscribers, subscription MRR) 3. Concierge revenue build (bookings/month × fee × margin) 4. B2B / white-label deal tracker (deal count × ACV) 5. Affiliate revenue (% of concierge from affiliate channel) 6. Consolidated P&L (revenue by stream, gross margin by stream, blended gross margin, OpEx, EBITDA) 7. Headcount plan (concierge staff variable with volume; fixed eng/product/G&A) 8. Cash & runway (cash from seed, monthly burn, months to breakeven) 9. Scenario toggle (Base / Bull / Bear) ## Frequently asked questions ### Is the Point.me financial model free? Yes. The Point.me 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.