At SEED, you proved people would pay — even in small amounts — and learned how money actually flowed in and out.
At PRODUCT DEVELOPMENT, the bar rises: now it’s not just about payment proof, it’s about building a financial engine strong enough to withstand launch conditions. Your task is to show that pricing, sales cycles, and delivery costs are not only workable — but scalable and sustainable.
This is where the back-of-the-napkin model becomes a launch-ready system.
“Revenue without margin is just busywork. A real model proves you can grow without breaking.”
Purpose
- Confirm that pricing, sales motion, and revenue logic are validated and launch-ready.
- Prove unit economics under realistic operating conditions (CAC, LTV, churn, margins).
- Flag and address operational bottlenecks that would break at scale.
- Ensure forecasts are grounded in actual data, not founder optimism.
When to Complete
- After MVP pricing tests and Seed-stage payment proof.
- Before finalizing launch budgets or committing to heavy GTM spend.
- Once delivery/support ops are stable enough to make margins predictable.
Proof Sections
Pricing Strategy & Value Alignment
- What’s the launch pricing, and how is it segmented?
- What evidence supports these choices?
- B2B SaaS: “Shifted from flat $49/mo → tiered ($29 Starter, $79 Pro, Enterprise custom). 30% higher adoption tied to feature-aligned tiers.”
- B2C CPG: “$5 trial pack → 42% convert to full size; bundle discount raised AOV 18%.”
- Services: “Outcome-based pricing for strategic accounts doubled close rate.”
Sales Cycle Realism
- How long to close, at launch scale?
- Where’s friction, and what’s reducing it?
- B2B SaaS: “SMB close time: 18 days. Enterprise: 45 days. Added pre-qual checklist cut SMB cycle by 3 days.”
- B2C CPG: “Retail onboarding ~60 days; accelerated by co-branded shelf talkers.”
- Services: “Proposal-to-close dropped 40% with pre-scoped packages.”
Forecasting & Financial Model
- What are 6–12 month targets?
- How are assumptions tested and updated?
- B2B SaaS: “Target $40K MRR in 6 months; model assumes 3:1 LTV:CAC, updated quarterly.”
- B2C CPG: “Forecasting 15% MoM growth; reorder velocity 28 days baseline.”
- Services: “$120K Q2 target; utilization modeled at 70%.”
Seasonality & Market Timing
- Which cycles matter most?
- B2B SaaS: “Budget resets drive Jan/July spikes.”
- B2C CPG: “Holiday gift packs = 40% of annual sales.”
- Services: “Tax advisory peaks Jan–Apr; off-season packages fill summer.”
Delivery, Margins & Operational Leaks
- Are margins sustainable? Where do they crack?
- B2B SaaS: “Live chat unsustainable; moving to async knowledge base saves ~2 hrs/user/mo.”
- B2C CPG: “Freight costs erode DTC small orders; free shipping threshold added.”
- Services: “Senior staff bottlenecking; mid-tier bench training underway.”
Execution Requirements
- Tested pricing strategy with paying customers.
- Documented sales cycle benchmarks.
- Financial model live, tracking CAC, LTV, churn, and margins.
- Forecast updated with real-world data.
Domain Adaptability — Moderate
Revenue principles are universal — but economics vary by domain.
B2B SaaS / Software
- Emphasize MRR/ARR, churn control, CAC payback, LTV multiples.
- Price by seats, features, or usage.
B2C Consumer Packaged Goods (CPG)
- Balance trial pricing vs. repeat purchase margin.
- Factor distributor/retail margins, promo impact, AOV.
Services / Ops-Heavy
- Anchor on utilization rates, project vs. retainer balance.
- Identify what scales vs. what bottlenecks.
Expected Output
- Launch-ready revenue model + forecast.
- Pricing tier breakdown + rationale.
- CAC/LTV snapshot + churn/margin risk log.
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Optional Enhancements (Pro-Level Execution)
- Price Sensitivity Analysis — Map adoption vs. margin tradeoffs.
- Scenario Forecasting — Best/mid/worst case projections tied to GTM plan.
- Cohort Revenue Tracking — Retention → revenue growth compounding.
- Contribution Margin Analysis — Validate scale economics.
- Competitive Benchmarking — Compare CAC, LTV, margins vs. category leaders.