Customer segments: 
Value delivered: 
Current pricing: 

Design optimized tiers:

1. Segment willingness to pay
   - Who would pay premium? Why?
   - Who's price-sensitive?
   - Who wouldn't pay for this at any price?
   - What's the price elasticity per segment?

2. Define tiers by value captured
   - Tier 1 (Basic): 30% of value, captures low-end users
   - Tier 2 (Pro): 70% of value, main revenue driver
   - Tier 3 (Enterprise): 95% of value, custom deals

3. Feature packaging strategy
   What goes in each tier?
   - Basic: Feature X, Y (solves core problem)
   - Pro: Feature X, Y, Z (adds power users)
   - Enterprise: Everything + custom

4. Pricing formula
   - What's the unit? (per user, per month, per API call?)
   - What's the base price?
   - Tier 2 typically 3-5x tier 1
   - Tier 3 typically 5-10x tier 2

5. Upgrade incentives
   - What makes someone want to upgrade?
   - Is there a usage trigger that forces upgrade?
   - Natural upgrade path?
   - Do they feel pain staying on Basic?

6. Tier gotchas (avoid these)
   - Don't make Pro so good Basic feels useless
   - Don't make Basic too limited (people give up)
   - Don't have too many tiers (3 is optimal)
   - Don't hide critical features in high tier

7. Test & iterate
   - Launch with 2 tiers first
   - Measure conversion by tier
   - Add tier if you see clear segment
   - Change pricing if conversion issues

Examples

Input

{
  "segments": "Solo developers, small teams (2-10), enterprises (100+ eng)",
  "valueProposition": "Saves $50-200k/year in infrastructure costs + prevents outages",
  "currentModel": "Flat $500/month"
}

Output

WTP segmentation, 3-tier structure with value capture, feature packaging, pricing formula, upgrade incentives, gotchas to avoid, and test plan.

Sources

https://www.profitwell.com/pricing

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