gtm-strategydraft
GTM Strategy: Curator
Executive Summary
Curator enters via the coach as wedge buyer and channel (B2B2C): one coach carries 6–15 clients, so acquiring the coach is cheaper than acquiring each client. The beachhead is US, ICF-oriented coaches who already improvise with a transcriber + ChatGPT and feel the after-session load. We reach them through coaching schools/academies and ICF chapters (warm, trusted, concentrated) before any broad paid acquisition. Launch is gated: a 3–5 coach pilot must prove trust + adoption before scaling spend. The whole motion dies if reproducibility fails or if coaches won't pay — both are explicit kill criteria, not afterthoughts.
Market Entry Thesis (why this market, why now, wedge)
- Why now: good-enough ASR + capable LLMs make coaching-native analysis newly feasible; coaches are already DIY-ing with generic tools (demand signal).
- Wedge: the after-session loop (trustworthy analysis + editable follow-up) — narrow, high-frequency, painful, and it exercises the moat.
- Why us: reproducible, evidence-linked, human-in-the-loop analysis vs. ad-hoc ChatGPT.
Segment Selection (ICP, evidence-graded)
| Segment |
ICP fit |
Evidence |
Priority |
| US ICF-credentialed solo/boutique coaches, 6–15 clients, already tool-using |
High |
T5/T6 (founder + ICF study) |
Beachhead |
| Coaching schools/academies (as channel + multi-coach buyer) |
High (channel) |
T6 (precedent of tools entering curricula) |
Channel |
| Corporate L&D / program sponsors |
Medium (ROI buyer) |
T6 |
Expansion |
| Therapy/counselling |
Out |
boundary |
Excluded |
Channel Strategy (unit economics — structural, not fabricated)
| Channel |
Mechanism |
Econ logic |
Notes |
| Coaching schools / ICF chapters |
Workshops, curriculum, referrals |
Low CAC via trusted aggregator; one relationship → many coaches |
Primary |
| Coach word-of-mouth |
Pilot coaches refer peers |
Lowest CAC if NSM works |
Earned, not bought |
| Direct/content (ICF community) |
Thought-leadership, demos |
Medium CAC |
Secondary |
| Paid acquisition |
— |
Deferred until LTV/CAC understood |
Not now |
| (Real CAC/LTV require pilot data; do not fabricate.) |
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Launch Sequence (gates + kill criteria)
- Pilot (3–5 coaches) — Gate: reproducibility ≥ target + usefulness ≥ 8/10 + pain confirmed. Kill: reproducibility unattainable after 3 iterations.
- Design-partner expansion (1 school/chapter) — Gate: ≥X coaches active weekly, sending follow-ups. Kill: no WTP signal.
- Paid v1 rollout — Gate: positive early retention + a defensible price. Kill: LTV/CAC unviable.
Positioning
For time-pressed professional coaches who drown in after-session work and don't trust generic AI, Curator is a coaching-native operating system that turns sessions into reproducible, client-safe analysis and follow-up, unlike transcribers or ChatGPT, because it's methodology-grounded, evidence-linked, and keeps the coach in the loop.
Metrics / Failure Criteria
- Success: rising trusted-follow-ups-sent NSM; school channel produces multi-coach adoption.
- Failure: coaches use it once and revert to ChatGPT; schools won't refer; no payer emerges.
- Review cadence: weekly during pilot.
Assumption Registry
| Assumption |
Confidence |
If wrong |
| Coach is the cheapest entry point (H3) |
Med |
Re-evaluate client/sponsor-led entry |
| Schools will act as a channel |
Low-Med |
Fall back to direct ICF-community motion |
| US-first is the right beachhead |
Med |
Per studio scope; revisit for other regions |
Self-Critique (≥3)
- The school channel is asserted, not proven — if academies won't refer, CAC assumptions collapse.
- B2B2C wedge depends on coaches successfully onboarding their clients; client-side friction is under-examined.
- No real unit economics yet — the launch sequence gates are directional until pilot data exists.