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cro-advisor

Analyze B2B SaaS revenue forecasting, pricing, and retention with Python scripts.

Updated Mar 7, 2026
Search Tags:#pricing strategy#cro#nrr#revenue forecasting#sales model#b2b saas
One-click install
npx skills add https://github.com/tapanshah/Claude-Skills --skill cro-advisor-tapanshah
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cro-advisor
Source: https://github.com/tapanshah/Claude-Skills/tree/main/c-level-advisor/cro-advisor
Command: npx skills add https://github.com/tapanshah/Claude-Skills --skill cro-advisor-tapanshah

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires revenue_forecast_model.py, churn_analyzer.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides revenue leadership frameworks for B2B SaaS companies, addressing challenges in revenue forecasting, sales model design, pricing strategy, and net revenue retention.

Core Features & Use Cases

  • Revenue Forecasting: Develop accurate forecasts using weighted pipeline models and scenario planning.
  • NRR & Retention Analysis: Analyze churn, identify at-risk accounts, and optimize expansion revenue.
  • Pricing Strategy: Evaluate and refine pricing models based on value and market benchmarks.
  • Use Case: A startup founder needs to build their Q3 board forecast and wants to understand their NRR drivers.

Quick Start

Use the cro advisor skill to analyze the current churn rate and suggest retention strategies.

Frequently Asked Questions about cro-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze B2B SaaS churn and identify at-risk accounts for retention?▼

Analyze net revenue retention by examining churn rates and identifying at-risk accounts. You can optimize expansion revenue by leveraging Python scripts for detailed financial analysis and strategic retention frameworks.

Can I use Python scripts to calculate net revenue retention for B2B SaaS?▼

Evaluate your B2B SaaS pricing strategy by benchmarking models against market standards and value metrics. This process helps refine your sales model to ensure predictable, scalable revenue generation.

Does this revenue forecasting approach work for early stage B2B SaaS startups?▼

You need Python scripts to perform detailed financial analysis for calculating net revenue retention and churn. These scripts process your operational data to identify at-risk accounts and support strategic decision-making.

Why does my B2B SaaS net revenue retention drop despite new sales?▼

This revenue forecasting approach works for early-stage B2B SaaS startups by focusing on scalable sales models and pricing strategy. It provides the necessary strategic frameworks to build predictable ARR growth engines.

Why does my B2B SaaS net revenue retention drop despite new sales?▼

Net revenue retention drops despite new sales when churn and downgrades exceed expansion revenue. Analyzing at-risk accounts and optimizing expansion strategies helps isolate leakage and restore positive NRR.

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