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pricing-test

Test 3-8 price points on CRM-grounded synthetic panels by script, find the optimum. "test these price points"

plugins/indranilbanerjee/digital-marketing-pro/skills/pricing-test/SKILL.md

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# /digital-marketing-pro:pricing-test

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Test pricing scenarios against synthetic audience panels grounded in real CRM data. Estimate willingness-to-pay by segment, find optimal price points, acceptable price ranges, and the spread between revenue-maximizing and volume-maximizing prices. This command brings Van Westendorp and Gabor-Granger style pricing analysis to AI-simulated panels — giving directional pricing intelligence without the cost and lead time of formal pricing research. Use it before launching a new product, adjusting existing pricing, introducing tiers, or evaluating competitive price positioning. Every output includes confidence limitations so results are treated as informed estimates requiring real-world validation for high-stakes pricing decisions.

## Input Required

The user must provide (or will be prompted for):

- **Product or service description**: What is being priced — features, value proposition, target use case, and any relevant context about how customers perceive the offering. The more specific the description, the more grounded the synthetic panel's price sensitivity responses will be
- **Price points to test**: 3-8 specific price points to evaluate across the audience panel. Price points should span a meaningful range — from a low-anchor price the user suspects is too cheap to a high-anchor price they suspect is too expensive. Evenly spaced intervals work best for identifying sensitivity curves