# Empowerly Financial Model Tech-enabled marketplace matching high school students with vetted college and career counselors via a proprietary software platform. - Canonical: https://finamodel.com/startups/empowerly - Excel download: https://finamodel.com/startup-models/empowerly.xlsx - Category: Health-tech - Model type: Marketplace / GMV - Funding round: Seed - Funding: $10M - Founded: 2022 - Geography: SF Bay Area (hyperlocal origin) → 30+ US states and 10+ countries. [DECK slide 9] - Customer: B2C ## About the company Empowerly is a tech-enabled marketplace matching high-school students with vetted college and career counsellors. It combines human guidance with software and aims to make a complex admissions journey more accessible to families. Counselling packages are sold to students and parents, with referrals, content, and paid advertising driving acquisition. A future self-service programme can expand the addressable market at a lower price point. The model should forecast student leads, package conversion, average selling price, counsellor capacity, engagement length, upsell, and repeat referrals. Counsellor payouts, CAC by channel, and self-service subscription economics should be tracked separately. ## 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 that matches students to counselors based on fit; proprietary "Empowerly Score" tracks college readiness. - Counselors assigned are primary + secondary; sessions conducted via integrated video portal. - Software stack: student dashboard, to-do lists, school list builder, essay tracking, time management, resources, student folder. - Technology roadmap (Q3 '21–Q4 '22) targets: internship program integration, mobile app, ML-enabled guidance, self-service tier, API optimization. - Value prop: democratizes access to high-quality counseling (vs. 470:1 student-to-counselor ratio in public schools; 38 min/year average counseling). ## Market - Total addressable US market claimed at $47B (2021): - College counseling: $10B TAM - Internship & career counseling: $14B TAM - Graduate school counseling: $3B TAM - Staffing & recruiting: $20B TAM - Note: $47B is presented as the sum of four adjacent segments; Empowerly currently competes primarily in college counseling. The larger segments (staffing, internship) represent future expansion. ## Revenue model - Counseling packages sold to students/parents (B2C); exact pricing not disclosed. - Three acquisition channels ranked: (1) Referrals, (2) SEO/Content Marketing, (3) Paid Ads. - Upselling flagged as a platform feature. - Future: "Empowerly Basic Self Service Program" (lower-price self-serve tier) on roadmap. - Revenue unit = per-student package or subscription (duration and price not in deck). ## Traction & metrics - 6x revenue growth in one year. - 20% month-over-month (MoM) sales growth. - Monthly sales line shows consistent upward trajectory from Oct 2020 through Aug 2022 (projected). - Gross margins: XX% (redacted). - Reaches students across 30+ US states and 10+ countries. - 98% of students accepted into a top-100 school. - 3x improved admissions rates vs. baseline. - 94% of students accepted into one of their top 3 choice schools. - Counselor rating: 4.8/5. ## Unit economics - LTV:CAC ratio: X:X (redacted). - Margins: XX% (redacted). - Organic + Referral mix: XX% (redacted). - Paid / Organic split: XX% / XX% (redacted). - Average counselor capacity: XX students (redacted). - Annual counselor retention: XX% (redacted). - Average Empowerly customer tenure: XX months (redacted). - Close rate from consult to close: XX% (redacted). - Average close time: XX (redacted). - Note: All key unit economics are present in the deck but numerically redacted. The structure confirms CAC, LTV, margins, close rate, and tenure are tracked and disclosed to investors on request. ## Competition / moat - Implicit competitive moat: proprietary matching algorithm, Empowerly Score, integrated curriculum, and counselor supply management. - No explicit competitor comparison slide in deck. - Structural moat: two-sided marketplace with supply buffer policy ("always maintain 2 months ahead of available counselor capacity"). - Student success outcomes (98% top-100 acceptance, 3x improved rates) cited as demand-side proof. ## Team & funding ask / use of funds - Existing investors: Goodwater Capital, Spero Ventures, FJ Labs, Berkeley SkyDeck, Azure Capital Partners, Translink Capital, Scrum Ventures, StartX. - Use of funds: 1. Grow product & engineering team 2. Invest in existing and new acquisition channels 3. Build mobile app ## Recommended financial model - **Archetype + why:** Marketplace / EdTech subscription P&L with cohort-based LTV model. Empowerly is a two-sided marketplace (counselors = supply, students = demand) where revenue is driven by student package volume × ASP. A cohort model captures the recurring/tenure dynamic (XX-month average tenure implies multi-month engagements). Margins and CAC are tracked, so a unit-economics-first build is appropriate. - **Forecast horizon & granularity:** 3 years (2022–2024), monthly for Year 1, quarterly for Years 2–3. Monthly granularity in Year 1 is warranted given the 20% MoM growth rate and the operational detail visible in the roadmap. - **Key drivers & assumptions:** | Driver | Value / Rationale | | -- | -- | | Starting monthly revenue (Oct 2021 base) | Derive from 6x growth claim; if Oct 2020 = base, Oct 2021 ≈ 6× that; absolute unknown - placeholder needed from company | | MoM revenue growth rate | 20% MoM (slide 2) | | MoM growth decay (taper) | Growth tapers from 20% to ~5% by end of Year 3; hypergrowth rarely sustains | | Average selling price (ASP) per student package | ~$2,000–$4,000 based on private college counseling market benchmarks; confirm with company | | Average engagement tenure | Multi-month (XX months redacted); model as 6–12 months pending data | | Gross margin | 50–65% placeholder; consistent with marketplace/services hybrid; exact % redacted | | LTV:CAC | >3:1 (redacted); use 3:1 as floor | | Counselor capacity per counselor | ~10–20 students (redacted); drives supply headcount model | | Counselor retention rate | ~80–90% annualized (redacted) | | Organic + referral % of new customers | ~50–70% (redacted); remainder via paid | | Paid CAC | Derive from LTV and LTV:CAC ratio once ASP/margin confirmed | | Headcount growth (eng + product) | Primary use of funds; model as 2–3 hires/quarter starting Q1 2022 | | Mobile app launch | Q2–Q3 2022 per roadmap; model incremental demand uplift | - **Scenarios (Base / Bull / Bear - which variables flex):** - Base: 20% MoM growth tapering to 8% by end of Year 2; margin holds at midpoint. - Bull: Growth sustains at 15%+ through Year 2 driven by mobile app launch + new acquisition channels; margin expands as organic mix rises. - Bear: Growth decelerates to 5% MoM by end of Year 1 (counselor supply constraint or demand softening); CAC rises as paid mix increases. - Flex variables: MoM growth rate, gross margin %, organic/paid mix, counselor capacity utilization. - **Required sheets / outputs:** 1. Assumptions - all drivers in one editable block 2. Revenue build - monthly new students × ASP, existing student retention, total MRR/ARR 3. Cohort model - LTV by cohort, cumulative revenue per cohort 4. Unit economics - CAC by channel, LTV, payback period, LTV:CAC 5. P&L - revenue, COGS (counselor payouts), gross profit, S&M, R&D, G&A, EBITDA 6. Headcount plan - eng/product, sales, ops; links to opex 7. Supply model - counselor headcount, capacity utilization, buffer metric 8. Cash flow & runway - monthly burn, cash balance 9. Scenario toggle - Base / Bull / Bear switcher feeding P&L and runway ## Frequently asked questions ### Is the Empowerly financial model free? Yes. The Empowerly 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.