pricing-strategy

Pricing Strategy - Pricing and Monetization Strategy Design Assistant

Skill Overview

Pricing Strategy is a professional assistant for designing pricing and monetization strategies. It helps you create pricing plans that both capture value and support growth based on customers’ perceived value and willingness to pay, while protecting conversion rates and user retention.

Use Cases

1. SaaS/Product Pricing Design

When you need to set pricing strategy for a new product, or redesign pricing tiers for an existing one. This skill helps you choose appropriate value metrics (such as by number of users, usage, or a fixed fee), design a Good/Better/Best three-tier pricing structure, and determine feature differentiation strategies for each tier.

2. Pricing Research and Validation

When you need to determine a price range in a data-driven way. This skill guides you to use methods such as Van Westendorp price sensitivity analysis and MaxDiff/Conjoint feature value research to identify acceptable price ranges and the optimal price point.

3. Pricing Adjustments and Price Increase Strategy

When your product is already live and you need to consider a price increase or redesign your pricing. This skill evaluates signals for when to raise prices, recommends safe pricing increase strategies (such as only for new customers, delayed price increases, or value-based price increases), and develops an impact assessment and rollout plan.

Core Features

1. Value Metrics and Tier Design

Help you select billing metrics that align with customer value (such as number of users, API call volume, number of records, etc.) and design a clear tiered pricing structure. Supports differentiated packaging based on customer personas (company size, use cases, maturity level) to ensure each target customer segment has a clearly corresponding tier.

2. Guidance on Pricing Research Methods

Provides a complete pricing research framework, including Van Westendorp price sensitivity analysis, feature value research (MaxDiff/Conjoint), willingness-to-pay tests, and more. Each method comes with clear use-case guidance and output descriptions to help you obtain data-backed evidence for pricing decisions.

3. Pricing Model Selection Recommendations

Based on your product characteristics, target market, and acquisition channels, recommends freemium, free trial, or hybrid models. Analyzes factors such as viral effects, marginal costs, upgrade triggers, and more to help you choose the most suitable free strategy.

Common Questions

Can this skill help me design my pricing page?

No. Pricing Strategy defines what you “should charge.” The implementation and conversion optimization of the pricing page require support from the page-cro skill. The pricing strategy document output by this skill includes target user personas, value metric selection, tier structure, and pricing rationale—serving as foundational input for pricing page design.

I already have pricing. Do I still need this skill?

If your current pricing has high conversion but low ARPU, customer willingness to pay does not match the price, or you need to move upmarket/downmarket, this skill can help you assess whether pricing adjustments are needed and provide safe price increase strategies and implementation plans.

Which should I choose: freemium or free trial?

It depends on your product characteristics. Freemium is suitable for mass-market products with viral propagation effects, network effects, and low marginal costs. Free trial is suitable for products where setup is needed to demonstrate value, products with high average order value, or B2B products with procurement cycles. This skill can analyze your specific situation and provide recommendations.

What pricing research methods does this skill support?

Supports multiple methods, including Van Westendorp price sensitivity analysis (to identify acceptable price ranges), MaxDiff/Conjoint feature value research (to guide packaging design), and Gabor-Granger demand curve testing. Each method includes clear guidance on its applicable use cases.