From 228 paying subscribers and 26 institutional partners today to $3.3M ARR and 12,187 subscribers at Month 24. Cash-flow positive by Month 24 on a $2.25M raise, with 4.5× LTV:CAC. Built bottom-up from current unit economics and stress-tested across 12 assumptions.
Twelve growth drivers, three scenarios. Three findings that shape our plan.
Print and marketplace transactions account for 37% of Month 24 revenue. Early transactional data shows a 33% hardcover attach rate on digital story purchases — small sample, but the purchase behavior is real. Our model assumes 4–7% on the much larger subscriber base, deliberately conservative.
We modeled content generation costs ($0.85/story declining to $0.45 at scale via scene batching and API price declines), audio narration, variable infrastructure, book fulfillment, payment processing, and refunds. Month 24 COGS of $154K on $441K revenue produces 65% gross margins — defensible for an AI content platform with physical product fulfillment. The model reaches cash-flow positive at Month 24 with $322K minimum cash.
Subscriber ARPU is the #1 sensitivity driver — it multiplies every subscriber in the base. CPC dropped to #4 after our COGS audit revealed natural hedging: slower subscriber growth also reduces content generation, audio, and infrastructure costs, dampening the cash impact. 45% of subscribers arrive through referral networks at zero acquisition cost.
$2.25M deploys across two tranches. First: strengthen consumer unit economics — engineering, product, and retention investment that maintains 55% trial-to-paid activation and moves churn from 9% toward the 6% benchmark. Then: scale institutional sales with a dedicated partnerships team, growing from 26 orgs to 299.
Capital maps to specific hires, each gated to a growth threshold in the model. The base case reaches cash-flow positive at Month 24 with a $322K cash trough — then recovers to $348K and growing.