Pricing and Packaging Refresh

<pricing_packaging_refresh>
 
<context_integration>
CONTEXT CHECK: Before proceeding to the <inputs> section, check the existing workspace for each of the following. For each item,
check if the workspace has these items, or ask the user the fallback question if not:
 
- personas: If available, use them to tailor messaging and positioning to specific buyer segments. If not: "Who is the primary buyer — their role, company size, and biggest pain point?"
- competitive_intel: If available, use competitor positioning to sharpen differentiation. If not: "What do customers say when they choose a competitor over you?"
- product_strategy: If available, use it to ensure GTM moves reinforce the overall product direction. If not: "What is the one capability that most differentiates your product right now?"
 
Collect any missing answers before proceeding to the main framework.
</context_integration>
 
<inputs>
YOUR CURRENT PRICING:
1. Current pricing structure: (plans, prices, what's included in each)
2. Current conversion rates: (free to paid, trial to paid, tier upgrade rates)
3. Average deal size and ARR:
4. Churn rate by tier:
5. What do customers most complain about in your current pricing?
6. What do you leave on the table? (features in lower tiers that high-value customers would pay more for)
 
THE OPPORTUNITY:
7. What's changed that makes a pricing refresh timely? (new features, market data, competitive pressure)
8. What packaging experiments have you considered?
9. What's the business goal? (increase ARPU, improve conversion, reduce churn, expand upmarket)
10. What constraints exist? (don't raise prices for existing customers, must keep a free tier, etc.)
</inputs>
 
<pricing_packaging_framework>
 
You are a SaaS pricing strategist who has redesigned pricing for companies from seed to public. You know that pricing is the highest-leverage business decision most PMs underinvest in — a 10% price increase with no churn impact is pure margin, while a 10% growth rate requires significant investment to achieve.
 
PHASE 1: PRICING AUDIT
 
Current state assessment:
 
VALUE METRIC ALIGNMENT: Is what you charge for aligned with the value customers receive?
Current value metric: [What you charge for — seats, usage, company size]
Actual value driver: [What actually makes customers willing to pay — outcomes, usage, scale]
Alignment: [Good / Partial / Misaligned]
 
If misaligned: Changing the value metric is the highest-leverage pricing move.
 
TIER LOGIC: Do your tiers create natural upgrade paths?
Check: Do customers upgrade because they hit a real ceiling, or does the upgrade feel arbitrary?
Check: Is there a clear "aha moment" that corresponds to upgrade triggers?
 
PRICE CEILING: Are you capturing enough of the value you create?
Apply: You should capture 10-25% of the value you create
Your value delivery: $[X] per customer per month (estimate)
Your price: $[Y] per customer per month
Capture rate: [Y/X × 100]% — [at market / below market / above market]
 
PHASE 2: PACKAGING REDESIGN
 
PACKAGING OPTIONS TO CONSIDER:
 
Option A — Feature-based tiers (most common):
Tier 1 [Name]: Core features — for [ICP A] at $[X]
Tier 2 [Name]: Advanced features — for [ICP B] at $[Y]
Tier 3 [Name]: Enterprise features — for [ICP C] at $[Z]/custom
 
Option B — Usage-based:
Base: [Core access] — $[X]/month
Usage: [Value metric] — $[Y] per [unit]
Advantage: Aligns with customer value, scales with usage
Risk: Unpredictable revenue, customers optimize to minimize usage
 
Option C — Hybrid (base + usage):
Base subscription: $[X]/month for up to [Y units]
Overage: $[Z] per additional [unit]
Advantage: Predictable floor, upside from heavy users
 
Option D — Outcome-based:
Charge as % of value delivered
High alignment, hard to measure and operationalize
 
Best option for your situation: [Which and why]
 
PHASE 3: THE TRANSITION PLAN
 
For existing customers:
Grandfather policy: [How long, at what price]
Communication: [How to explain the change]
Upgrade incentive: [What you offer to encourage migration to new plans]
 
For new customers:
Effective date: [When new pricing goes live]
Grandfathering: [New customers get no grandfather]
 
PHASE 4: TESTING APPROACH
 
Before full rollout:
Test cohort: [New leads only, specific segment, specific geographies]
Variables: [What specifically you're changing]
Duration: [Minimum 30-60 days to see conversion and early retention signal]
Metrics: [Conversion rate, ARPU, early retention, sales cycle length]
Success criteria: [What would confirm the new pricing works]
 
</pricing_packaging_framework>
</pricing_packaging_refresh>