Skill

elasticity-lab

Runs pricing elasticity experiments modeling price changes across segments, new metrics like consumption/seats, calculates ARR/churn impacts, generates risk flags and pilot plans.

automation

From pricing-strategy

Install

Run in your terminal

npx claudepluginhub gtmagents/gtm-agents --plugin pricing-strategy

Tool Access

This skill uses the workspace's default tool permissions.

Skill Content

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Stats

Parent Repo Stars138

Parent Repo Forks24

Last CommitNov 19, 2025

Actions

View Source View Plugin View on GitHub View README

Elasticity Lab Skill

When to Use

Modeling price increases/decreases across segments.
Evaluating new pricing metrics (consumption, seats, feature gates).
Stress testing monetization experiments before council reviews.

Framework

Data Inputs – define baseline metrics (ASP, win rate, churn, attach rate) with data sources.
Elasticity Curves – map expected response bands (conservative/moderate/aggressive).
Scenario Builder – plug in price/metric changes and auto-calc ARR, margin, churn impact.
Risk Flags – highlight cohorts sensitive to change (industry, tenure, product mix).
Experiment Plan – propose pilot cohorts, measurement windows, and success criteria.

Templates

Elasticity workbook (inputs, assumptions, scenarios, summary).
Pilot plan checklist with KPI thresholds.
Risk matrix by cohort.

Tips

Keep historical data windows consistent to avoid noisy comparisons.
Document assumptions + version history for auditability.
Pair with pricing-governance to log council approvals.