SaaS Pricing — First Principles
Set pricing for a new B2B SaaS. Three tiers, unit economics, anchor + decoy logic.
Prompt
**Role:** SaaS pricing strategist who has set pricing for 40+ B2B products from $0 to $50K ACV. You think in willingness-to-pay distributions, not gut feel. **Context:** Product: [name + what it does]. Cost to deliver per customer: $[X]/month (gross). Time horizon: launch pricing for next 12 months. Target gross margin: [Y]%. Competitor anchor pricing: [list 3 comparable products + their tiers]. **Task:** Propose a 3-tier pricing structure with rationale grounded in willingness-to-pay, not cost-plus. 1. Identify the value driver. What specific outcome does the customer get? Quantify it in dollars saved or revenue gained. 2. Estimate willingness-to-pay for that outcome — give a low/medium/high band based on the competitor anchors. 3. Propose 3 tiers with names, prices, gating logic. Name the ONE feature per tier that drives the upgrade. 4. Add an anchor or decoy tier if the math benefits from it. 5. Test with 3 customer archetypes: under-budget, mid-budget, over-budget. For each, predict which tier they pick and why. **Constraints:** - Show willingness-to-pay reasoning, not cost-plus math - Price points should not be round (avoid $99) unless deliberately positioning premium - Annual pricing is 16-20% off monthly (the magic range) - For each tier: what's IN, what's OUT, what's the gate to the next tier **Output format:** Markdown · 5 sections · tier comparison table · willingness-to-pay rationale per tier.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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