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revenue-optimizer

Community

Turn code into data-driven revenue.

Marketing & Sales#pricing#monetization#Stripe#SaaS#revenue#pricing-patterns#revenue-modeling
Authoracaprino
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps teams extract maximum monetization value from software by analyzing features, usage, and costs to design data-driven pricing, margins, and revenue projections.

Core Features & Use Cases

  • Pricing strategy design: Build tiered plans, margins, and break-even points from codebases and usage data.
  • Revenue modeling: Forecast MRR/ARR, LTV, and churn-based outcomes based on plan distributions.
  • Stripe integration guidance: Outline how to implement subscriptions, metered usage, and billing portals with reliable syncing.
  • Use Case: For a SaaS app with 2 features and 1000 users, generate a three-tier pricing model and a 12-month revenue forecast.

Quick Start

Launch a revenue-optimizer analysis on a Stripe-enabled project to create a pricing plan and a 12-month forecast.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: revenue-optimizer
Download link: https://github.com/acaprino/alfio-claude-plugins/archive/main.zip#revenue-optimizer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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