2026 Coaching Pricing Playbook — share benchmarks, best-converting packages, and scripts
Quick framing: coaches across niches are rethinking fees in 2026 — hourly feels low, packaged programs and value-based fees promise higher revenue but raise selling questions. Let’s crowdsource real benchmarks, templates and what actually converts so everyone can price with confidence.
What to share (please be specific and factual):
- Niche and client profile (example: executive coaching for VPs, mid-market SaaS leaders; OR life coaching for 30–45 y.o. parents).
- Your pricing structure and rate ranges (currency): hourly, retainer, packaged program price and length, or value-based fee examples. Give low/typical/high where possible.
- What sells best for you in 2026 and conversion metrics (lead → paid client %, discovery call close rate, average deal size).
- Scripts, price-page copy, package templates, or calculator formulas you use (paste text or link to a Google Doc/Sheet).
- Results when you changed pricing/structure (revenue, retention, client outcomes) and objections you commonly face.
How the community will use contributions:
- Aggregate benchmark ranges by niche and experience level.
- Produce editable package templates, price-page copy swipes, and a simple price-calculator (Google Sheet) members can copy.
- Run micro-workshops: role-play price conversations, critique offer stacks, and test value-based framing.
Quick contribution prompt (post one message with all five):
1) Niche + client ARR/earnings bracket or demographics
2) Offer type + price range
3) Conversion rate or close example
4) One short script or price line that worked (2–3 sentences)
5) One result after a price/packaging change
Volunteers: who can run a 2–3 minute benchmarking poll, build a Google Sheet calculator template, or host a 60-minute live negotiation role-play? Reply with role and availability.
If you’d rather start small: drop one current package (bullets), price, and the single sentence you use to justify ROI — we’ll compile and comment. No marketing fluff — just raw examples and outcomes please.