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pricing strategy planner
Convert unit economics and market data into structured pricing tiers, margin diagnostics, and implementation roadmaps.
$5
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pricing strategy planner
Example session with this skill installed
Analyze pricing for a B2B SaaS tool. Current: $50/mo flat. Costs: $10/mo infra, $15/mo support. High users cost $40 in support. Competitors at $30 (entry) to $200 (pro). Target: 30% margin.
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- Compiled the pricing strategy planner
I have analyzed your B2B SaaS economics. Your current flat-rate model is high-risk due to heavy users eroding margins to 20%, well below your 30% target.
Pricing Strategy: SaaS Tiered Migration
| Component | Current State | Recommendation |
|---|---|---|
| Model | Flat Rate ($50) | 3-Tier Usage-Based |
| Gross Margin | ~20% (variable) | 35% - 60% (target) |
| Primary Leak | Support-heavy users | Capped support per tier |
1. Diagnostic Findings
Margin Leak: "Power users" costing $40 in support represent a negative margin risk when infrastructure costs are added.
- Packaging Gap: No entry-level "Starter" tier to capture price-sensitive users currently choosing $30 competitors.
2. Compared Alternatives
| Option | Revenue Impact | Margin | Implementation |
|---|---|---|---|
| A: Flat $75 (Price Hike) | +15% | 45% | Easy (High Churn Risk) |
| B: 3-Tier (Pro/Ent) | +28% | 52% | Medium (Best Value Fit) |
| C: Per-User Scaling | +22% | 48% | Complex (High Friction) |
3. Recommended Strategy: The 3-Tier Model
Starter ($39/mo): Capped support (email only), basic features. Targets the $30 competitor segment with a premium anchor.
- Professional ($89/mo): Includes standard support, advanced features. The primary volume driver.
- Enterprise (Custom): For users exceeding $40/mo support costs. Dedicated AM, custom limits.
4. Validation Matrix
| Validation Item | Type | What is needed | Owner |
|---|---|---|---|
| Support cost per ticket | Data Gap | Log analysis for top 10% users | Ops |
| Willingness to pay $89 | Assumption | Survey of current $50 cohort | Product |
| Competitive Response | Risk | Monitor $30 competitor for price drops | Marketing |
Next steps
- Audit the last 3 months of support logs to identify the "Enterprise" threshold.
- Draft the "Grandfathering" policy for existing $50/mo users to minimize immediate churn.
- Update the pricing page wireframes to reflect the new 3-tier structure.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Vague pricing models lead to margin erosion and missed revenue. Most teams guess their price points or copy competitors without accounting for actual unit economics or customer willingness-to-pay.
What it does
- Identifies margin leaks where support costs or resource usage outpace flat-rate fees.
- Benchmarks three distinct pricing structures including usage-based, tiered, and hybrid models.
- Projects quantitative revenue and margin impacts across base, optimistic, and conservative scenarios.
- Generates a validation matrix to flag high-risk assumptions and missing data points before rollout.
- Produces a phased implementation roadmap with value-based communication scripts for customers.
Why this beats prompting it yourself
General prompts often output arbitrary numbers without business logic. This skill forces a rigorous diagnostic of unit economics and packaging gaps, ensuring every price point is anchored in margin targets and risk assessment rather than gut feeling.
Use cases
- Transitioning a flat-rate SaaS product to a usage-based or tiered model.
- Evaluating the margin impact of volume discounts or annual prepay incentives.
- Diagnosing why high-growth products are failing to reach profitability targets.
- Preparing a structured, evidence-backed pricing proposal for stakeholder approval.
Known limitations
Requires manual input of unit costs and competitor benchmarks to produce accurate projections. Does not provide real-time market data or automated A/B testing execution.
Requires manual input of unit costs and competitor benchmarks. Does not integrate directly with live billing systems or provide real-time market data feeds.
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