Investor FAQ

RoleFerry Platform

Version: 1.0 Audience: Investors, Board Members Purpose: Common questions and answers for due diligence

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1. Business Model

Q: How do you make money?

A: Freemium SaaS model with three revenue streams:

• Subscription Revenue (70% of revenue):

- Job Seekers: $0 (free) → $49/mo (Pro) → $149/mo (Teams for coaches) - Recruiters: $149/mo (Pro) → $99/mo (Teams, volume discount) → Custom (Enterprise)

• Usage-Based Revenue (20%):

- Enrichment credits: $0.10/contact beyond included allowance - Email sends: $0.02/email beyond 1K/month

• Enterprise Contracts (10%):

- White-label for outplacement firms: $25K-$100K/year - API access for ATS vendors: $10K+/year Unit Economics (Job Seeker Pro):

• ARPU: $49/mo ($588/year)

• CAC: $50 (paid) → $0 (organic)

• LTV: $600 (12-month retention)

• LTV:CAC: 12:1 (organic), 3:1 (paid)

• Gross Margin: 85%

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Q: What's your TAM/SAM/SOM?

A:

• TAM: $45B (job search tools $8B + recruiting software $15B + sales engagement $22B)

• SAM: $12B (English-speaking markets, white-collar jobs)

• SOM (Year 5): $500M (1% market share)

- 500K job seeker seats × $600/year = $300M - 20K recruiter seats × $2K/year = $40M - 200 enterprise contracts × $50K/year = $10M - Usage revenue = $150M

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Q: Why will you win vs. incumbents?

A:

• Unique combination: No competitor has tracking + intelligence + outreach + deliverability

• Deliverability moat: We own sending infrastructure; users can't DIY this safely

• Speed to market: Incumbents (LinkedIn, Simplify) move slowly; we're nimble

• Better mousestrap: Email beats LinkedIn InMail (3x response rate), we automate the hard parts

vs. Simplify/Huntr: They track; we act. We find contacts and send emails for you. vs. LinkedIn: 95% cheaper ($1,788/year vs. $8K), email-first (not InMail-only). vs. Apollo/Instantly: Sales tools adapted for recruiting; we're recruiting-native from day 1.

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2. Market & Growth

Q: How big is the market really?

A:

• 11M job openings monthly (US, BLS data)

• 40% white-collar (addressable) = 4.4M jobs/month

• 27M applications/month (4.5 applicants per hire)

• 30% would use automation = 8M potential job seeker users

• 200K companies with dedicated recruiting teams → 600K recruiter seats

Our SAM ($12B) is conservative; assumes 10% penetration of white-collar job search/recruiting.

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Q: What's your growth strategy?

A: Product-led growth (PLG) with organic as primary channel: Phase 1 (Months 1-6): Job Seekers via SEO + Community

• Target: 5,000 users, 500 paid

• Channels: Content marketing ("how to reach hiring managers"), Reddit/Blind, career coach partnerships

• CAC: $50 (paid ads) → $0 (organic, long-term)

Phase 2 (Months 7-12): Recruiters via Outbound Sales

• Target: 500 recruiter seats, 10 enterprise pilots

• Channels: Outbound (SDRs), ATS partnerships, HR Tech events

• CAC: $300 (outbound)

Phase 3 (Year 2+): Viral Loops

• Referral program ("Invite 3 friends, get 1 month free")

• Success sharing (LinkedIn/Twitter integrations)

• White-label (career coaches drive user acquisition)

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Q: What's your customer acquisition cost?

A:

• Job Seekers: $50 (paid ads) at launch → $5 (organic) by Year 2

• Recruiters: $300 (outbound sales, 6-week cycle)

• Enterprise: $10,000 (field sales, 6-month cycle)

Payback Period:

• Job Seekers: 1 month (paid), instant (organic)

• Recruiters: 2 months

• Enterprise: 2 months

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Q: How do you retain users?

A:

• Job Seekers: Average 6-month active search → 12-month retention (passive use + 2 search cycles)

• Recruiters: 85% annual retention (switching cost = re-training + integration)

• Enterprise: 90% retention (multi-year contracts, deep integration)

Retention Drivers:

• Habit formation: Daily/weekly Tracker usage

• Data lock-in: Historical applications, contacts, sequences

• Results: 15%+ reply rate keeps users coming back

• Network effects: More users → better benchmarks → stickier product

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3. Product & Technology

Q: What's your tech stack?

A:

• Frontend: Next.js 14, React 18, TypeScript, Tailwind

• Backend: FastAPI (Python 3.11), PostgreSQL 15, Redis 7

• Infrastructure: AWS (ECS Fargate, RDS, ElastiCache, S3)

• External APIs: Apollo/Clay (enrichment), SendGrid/Mailgun (email), Anthropic/OpenAI (AI)

Why this stack?:

• Fast development (MVP in 3-4 months)

• Scalable (10K → 500K users without major rewrites)

• Cost-efficient ($50K/month at 10K users)

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Q: How do you ensure deliverability?

A: Multi-pronged approach:

• Infrastructure: Pre-warmed RoleFerry domains (not user email)

• Health Monitoring: Bounce rate, spam reports tracked real-time

• Throttling: 50 emails/day per mailbox (ISP best practice)

• Warmup Protocol: New domains start at 5/day, increase 5%/day for 30 days

• Content Moderation: AI flags spam patterns, profanity

• Rotation: 100+ domains at scale (distribute risk)

Result: >95% inbox placement, <0.05% spam complaint rate.

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Q: What's your AI strategy?

A: AI as feature, not product (we're not an AI company):

• Match Scoring: ML model (XGBoost) trained on user feedback (thumbs up/down)

• Draft Generation: LLM (Anthropic Claude) personalizes emails from resume + JD

• Copilot: Q&A assistant ("Why is this a fit?", "Write an email")

Why this works:

• AI improves core value prop (better matches, faster drafts)

• Human-in-the-loop (user reviews before sending)

• Cost-manageable ($0.02/draft, $0.005/match score)

Moat: Data compounds over time (match accuracy improves with usage).

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4. Competition

Q: What if LinkedIn builds this?

A: Unlikely for 3 reasons:

• Deliverability risk: LinkedIn can't risk their core email reputation by adding bulk sending

• Strategic focus: They monetize via ads + Recruiter seats, not automation

• Speed: We can iterate 10x faster (startup vs. MSFT bureaucracy)

If they do: We have 18-24 month head start on deliverability infrastructure + brand.

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Q: What if Simplify adds outreach?

A: We have moat they can't replicate quickly:

• Deliverability: Requires 100+ warmed domains, 6+ months setup, $500K+ investment

• Enrichment: Multi-provider integrations (Apollo, Clay, Hunter) take 6+ months

• AI: Draft generation, match scoring require ML expertise

Timeline: 12-18 months to reach feature parity. By then, we're at scale (50K users, data advantage).

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5. Financials

Q: What's your burn rate?

A:

• Pre-MVP: $150K/month (2 FT engineers, 1 contractor, infra, APIs)

• Post-MVP: $250K/month (5 engineers, marketing, infra)

• Runway: 18 months on $2M seed round

Path to Profitability:

• Break-even: $300K MRR (Month 18-24)

• Profitable: Month 24+ (assume 70% gross margin)

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Q: What are you raising and why?

A: $2M seed round Use of Funds:

• 40% Engineering ($800K): Hire 3 engineers (2 full-stack, 1 ML)

• 30% GTM ($600K): Growth marketing, content, partnerships

• 20% Infrastructure ($400K): Deliverability domains, APIs, hosting

• 10% Operations ($200K): Legal, compliance, admin

Target Metrics (18 months):

• 50K registered users

• 5K paying subscribers

• $1.5M ARR

• 85% gross retention

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Q: What's your exit strategy?

A: M&A or IPO (long-term) Comparable Exits:

• Lever: Acquired by Employ Inc. (2022, $100M+ valuation)

• Hired: Acquired by Adecco (2021, $100M)

• Jobvite: Acquired by Employ Inc. (2021, ~$200M)

IPO Path: $100M+ ARR, grow-into-multiple markets (recruiting → sales → partnerships). Ideal Acquirers:

• LinkedIn (MSFT): Bolt-on to Recruiter offering

• Indeed: Expand beyond job board

• Workday/ADP: Add to HCM suite

• Apollo/ZoomInfo: Expand into recruiting vertical

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6. Risks

Q: What keeps you up at night?

A: Top 3 risks:

• Deliverability failure: If domains blacklisted, core value prop fails

- Mitigation: Multi-domain pool, health monitoring, slow ramp

• Regulatory (CAN-SPAM, GDPR): Non-compliance = fines, injunctions

- Mitigation: Legal review, privacy-by-design, lawyer-approved templates

• Competition from incumbents: LinkedIn/Simplify add similar features

- Mitigation: Speed, deliverability moat, niche depth

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Q: What's your moat long-term?

A: 3 compounding advantages:

• Data Moat: Match accuracy improves with usage (feedback loop)

• Infrastructure Moat: 100+ warmed domains = 18+ months, $1M+ to replicate

• Network Effects: More users → better benchmarks (reply rates, time-to-interview) → stickier product

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7. Team

Q: Who's on the founding team?

A: (This would be customized with actual team details) CEO/Founder: 10+ years recruiting tech, scaled SaaS to $50M ARR CTO: Ex-FAANG, led email infra at scale (1B+ sends/month) Head of Product: Built job matching ML at major job board Why we'll win: Domain expertise (recruiting) + technical depth (email infra) + product sense (ML).

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Q: What are you hiring for?

A: Next 6 months:

• 2 Full-Stack Engineers (Next.js + FastAPI)

• 1 ML Engineer (match scoring, LLM integration)

• 1 Growth Marketer (SEO, content, community)

Next 12 months:

• 1 Sales Lead (recruiter segment)

• 1 Designer (UX/UI)

• 1 DevOps Engineer (scale infrastructure)

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8. Next Steps

Q: What do you need from investors?

A:

• Capital: $2M seed round

• Intros: HR Tech buyers, ATS partnerships, career coach networks

• Expertise: Scaling SaaS, recruiting industry insights

Q: What's your timeline?

A:

• Now: Fundraising ($2M seed)

• Q4 2025: MVP launch (100 users)

• Q2 2026: 1K users, $10K MRR

• Q4 2026: 10K users, $100K MRR

• 2027: 50K users, $500K+ MRR, Series A ($10M)

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Contact: hello@roleferry.com Deck: [Link to pitch deck] Demo: [Link to product demo video]

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Document Owner: CEO, CFO Version: 1.0 Date: October 2025 Next Review: Monthly (update with traction)