Pricing Analysis & Recommendations
Analyze pricing strategies with competitive benchmarking, value metrics, elasticity assessment, and packaging recommendations.
You're leaving money on the table or losing deals — and you don't know which one. Your pricing was set two years ago based on gut feel, and now competitors have moved. A structured pricing analysis with competitive benchmarks, value metrics, and elasticity insights tells you exactly where your price should be.
Who it's for: product managers evaluating pricing model changes, revenue operations leaders optimizing pricing and packaging, CFOs assessing pricing strategy impact on margins, growth-stage founders pricing their product for the first time, strategy consultants advising clients on pricing optimization
Example
"Analyze our SaaS pricing against 8 competitors" → Pricing analysis: competitive benchmark matrix with feature-to-price mapping, value metric assessment (per-seat vs. usage-based), price elasticity indicators from churn and win-rate data, 3 packaging scenarios with revenue projections, and migration strategy for existing customers
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add recipe-pricing-analysis# 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
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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."