---
title: Pricing Strategy
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/pricing-strategy/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/pricing-strategy/
last_updated: 2026-06-20
---

# Pricing Strategy

> Design pricing that captures value instead of just covering cost, across packaging, value metric and price point.

An expert SaaS pricing and monetization engine that designs pricing to capture value instead of just covering cost. It walks you through the three pricing axes: packaging, value metric, and price point, and grounds every recommendation in willingness-to-pay research rather than guesswork. The result is a tier structure that converts, expands, and survives a price increase.

## Use cases
- Designing Good-Better-Best tier structure from scratch
- Running Van Westendorp price sensitivity surveys
- Choosing the right value metric (per-seat, usage, transaction)
- Planning and communicating a price increase
- Deciding freemium vs free trial vs hybrid
- Building an enterprise Contact Sales tier

## Benefits
- Price between the next-best alternative and perceived value, not at cost-plus
- Capture 25-50% more revenue from underpriced plans backed by research
- Reduce decision paralysis with a clear recommended-tier anchor
- Raise prices without churn using grandfathering and value-tied strategies

## What’s included
- Value-Based Pricing framework with the value-capture ladder
- Van Westendorp PMC/OPP/IDP/PME analysis with sample output
- MaxDiff and Gabor-Granger willingness-to-pay methods
- Persona-based packaging matrix mapping features to segments
- Pricing page psychology: anchoring, decoy effect, charm pricing
- Price-increase email templates and rollout playbooks

## Who it’s for
Founders, product leads, and growth teams setting or revising pricing for self-serve, sales-led, or hybrid SaaS products.

## How it runs
What would your customers actually pay? Most teams guess, or copy a competitor's page. This skill runs the research, Van Westendorp, MaxDiff, value metrics, and builds the tiers from what the numbers say.
1. Starts with the business context: product type, current pricing, conversion rate, ARPU, churn, and whether the motion is self-serve or sales-led.
2. Runs willingness-to-pay research: Van Westendorp's four questions to find the acceptable price band, MaxDiff to rank which features customers actually value.
3. Picks the value metric, the thing you charge for, by testing one rule: as a customer uses more of it, do they get more value?
4. Designs the tier structure (Good, Better, Best) from the research scores: table-stakes features in every tier, high-utility differentiators reserved for upper tiers.
5. Decides freemium versus free trial based on the product's virality, time to value and price point, including the credit-card-upfront conversion trade-off.
6. Plans the rollout: an anchored pricing page layout, a price testing method, and a grandfathering strategy for raising prices without a churn shock.

## FAQ
### Does this work for sales-led or usage-based pricing, or only self-serve tiers?
It covers self-serve, sales-led, and hybrid SaaS, including an enterprise Contact Sales tier and value-metric selection across per-seat, usage, and transaction models. The Good-Better-Best structure is one output, not the only one.

### How does it decide a price point instead of just guessing a number?
It grounds recommendations in willingness-to-pay research, walking you through Van Westendorp PMC/OPP/IDP/PME analysis plus MaxDiff and Gabor-Granger methods. The price lands between your next-best alternative and perceived value, not at cost-plus.

### Will it run the pricing survey and collect responses for me?
No. It designs the Van Westendorp survey, gives you the analysis framework and sample output, but fielding the survey and gathering respondents is your work. It then interprets the data you bring back.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [AI for ecommerce](https://forgehouse.ai/guides/ai-for-ecommerce/)