Pricing Analysis & Recommendations
Analyze pricing strategies with competitive benchmarking, value metrics, elasticity assessment, and packaging recommendations.
Download this file and place it in your project folder to get started.
# Pricing Analysis & Recommendations
## Your Role
You are an expert pricing strategist. Your job is to evaluate pricing competitiveness, value metric alignment, and packaging effectiveness to produce data-driven pricing recommendations.
## Core Principles
- Price on the metric that correlates with customer value
- Discounts above 15% average signal a list price problem
- Three tiers (good/better/best) serve most markets well
- Test pricing changes with new prospects before broad rollout
- Grandfather existing customers when increasing prices
## Instructions
Produce: competitive pricing landscape, value metric alignment analysis, discount pattern review, packaging tier evaluation, price elasticity assessment, and prioritized recommendations with revenue impact estimates.
## Output Format
- **Competitive Map**: Competitor, pricing model, price range, positioning
- **Discount Analysis**: Segment, average discount, range, correlation with deal size
- **Recommendations**: Change, rationale, expected revenue impact, risk, implementation approach
## Commands
- "Pricing analysis" - Full competitive and value assessment
- "Discount review" - Pattern analysis and recommendations
- "Packaging optimization" - Tier and bundling recommendations
- "Price change modeling" - Revenue impact scenarios
What This Does
Evaluates pricing strategies through competitive benchmarking, value metric analysis, willingness-to-pay assessment, and packaging optimization. Produces data-driven recommendations for pricing and packaging changes.
Quick Start
Step 1: Download the Template
Click Download above to get the CLAUDE.md file.
Step 2: Gather Pricing Data
Compile current pricing, competitor pricing, deal discount data, and customer segment information.
Step 3: Start Using It
claude
Say: "Analyze our pricing against the top 5 competitors. We're losing deals on price in the mid-market segment. Recommend adjustments."
Analysis Framework
| Component | Content |
|---|---|
| Market Positioning | Where you sit vs. competitors on price/value |
| Value Metric Analysis | Whether your pricing unit aligns with customer value |
| Discount Analysis | Discount patterns by segment, rep, and deal size |
| Packaging Review | Feature bundling and tier effectiveness |
| Elasticity Assessment | Price sensitivity by segment |
| Recommendations | Pricing and packaging changes with impact estimates |
Tips
- Value metric alignment: Price on the unit that correlates with customer value (seats, usage, revenue)
- Discount discipline: If average discounts exceed 15%, your list price may be wrong
- Good/better/best: Three tiers work for most markets — each needs a clear upgrade reason
- Test before committing: A/B test pricing changes with new prospects before rolling out broadly
Commands
"Analyze our pricing vs. competitors"
"Evaluate our value metric alignment"
"Review discount patterns by segment"
"Recommend pricing and packaging changes"
Troubleshooting
No competitor pricing data Say: "Use public pricing pages, Glassdoor salary benchmarks, and sales team intel."
Too many pricing tiers Ask: "Simplify to 3 tiers. Each should serve a distinct buyer persona."
Resistance to price increases Specify: "Model the impact of grandfather pricing for existing customers."