Cro Advisor

Cro Advisor

Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. U

Category: design Source: alirezarezvani/claude-skills

What Is Cro Advisor?

Cro Advisor is a specialized Claude Code skill designed to provide revenue leadership frameworks and analytics for B2B SaaS companies. Developed by Alireza Rezvani, Cro Advisor targets the critical needs of chief revenue officers (CROs) and revenue leaders, offering tools for revenue forecasting, sales model design, pricing strategy, net revenue retention (NRR) analysis, and sales team scaling. By integrating established playbooks and Python-based analytics, Cro Advisor enables users to build and operate predictable, scalable revenue engines — whether managing a $1M startup or a $100M+ SaaS enterprise.

Cro Advisor is particularly valuable when designing revenue engines, setting sales quotas, modeling NRR, evaluating pricing strategies, constructing board-level forecasts, or when dealing with topics like ARR growth, churn reduction, expansion revenue, and sales capacity planning.

Why Use Cro Advisor?

Revenue leadership in B2B SaaS demands a blend of strategic insight and operational rigor. Traditional spreadsheet models and ad hoc analytics often fall short in capturing the complexity and dynamism of modern SaaS businesses. Cro Advisor addresses these gaps by:

  • Standardizing Revenue Processes: It provides structured frameworks for revenue forecasting, quota setting, and sales capacity planning, reducing guesswork and inconsistency.
  • Supporting Data-Driven Decision Making: Integrated Python tools offer robust analytics for churn analysis, pipeline weighting, and pricing tests, empowering leaders with actionable insights.
  • Aligning Stakeholders: By implementing best-in-class playbooks (e.g., MEDDPICC, NRR modeling), Cro Advisor helps unify revenue, product, and finance teams around shared targets and methodologies.
  • Driving Growth and Retention: The skill emphasizes both acquisition and expansion revenue, supporting models for upsell, cross-sell, and customer success, as well as strategies for minimizing churn and maximizing NRR.
  • Enabling Board-Ready Reporting: With standardized revenue forecasting and scenario modeling, Cro Advisor streamlines board communication and investor updates.

How to Get Started

To begin using Cro Advisor, clone the repository and familiarize yourself with its core tools and frameworks:

git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills/c-level-advisor/cro-advisor

Running the Revenue Forecast Model

The primary forecasting tool is revenue_forecast_model.py, a Python script that applies weighted pipeline modeling using historical conversion rates and pipeline data.

python scripts/revenue_forecast_model.py --input data/pipeline.csv --output forecasts/output.csv

Input Example (data/pipeline.csv):

deal_id,stage,amount,probability
101,Qualified,25000,0.2
102,Proposal,50000,0.5
103,Negotiation,75000,0.8

Running the script outputs projected revenue by stage, weighted by probability, and aggregates forecasts for board-ready reporting.

Running the Churn Analyzer

To analyze churn and retention dynamics:

python scripts/churn_analyzer.py --input data/customers.csv --period monthly

This tool calculates churn, gross revenue retention (GRR), and net revenue retention (NRR) over specified periods, helping you pinpoint areas for improving customer retention and expansion revenue.

Key Features

Cro Advisor encapsulates a suite of frameworks and code-driven tools, including:

  • Revenue Forecasting: Weighted pipeline models, scenario planning, and historical trend analysis.
  • Sales Model Design: Playbooks for territory planning, quota setting, ramp modeling, and capacity analysis.
  • Pricing Strategy: Frameworks for value-based and usage-based pricing, with support for pricing experiments and board-level evaluations.
  • Net Revenue Retention Modeling: Built-in tools for analyzing churn, expansion, downgrades, and upsell/cross-sell, supporting NRR optimization.
  • Sales Team Scaling: Guidance on team structure, onboarding, enablement, and scaling strategies from SMB to enterprise sales motions.
  • Board Reporting: Auto-generated forecasts and dashboards tailored for board and executive communication.

Frameworks and methodologies supported: MEDDPICC, PLG (Product-Led Growth), sales-led growth, ICP (Ideal Customer Profile), and more.

Best Practices

To maximize the value of Cro Advisor:

  1. Integrate with Source Data: Connect tools to your CRM and financial systems for real-time pipeline, bookings, and retention data.
  2. Iterate on Assumptions: Revenue models are only as good as their inputs—regularly update conversion rates, probabilities, and pricing assumptions based on actuals.
  3. Adopt Playbooks Consistently: Standardize how your team applies sales stages, MEDDPICC criteria, pricing experiments, and retention drivers.
  4. Use Scenario Planning: Leverage the forecasting tool to test upside, base, and downside scenarios for more resilient board and investor communications.
  5. Collaborate Across Functions: Involve finance, sales, success, and product teams in model design to ensure alignment and buy-in.

Important Notes

  • Skill Scope: Cro Advisor is optimized for B2B SaaS revenue models; applicability may be limited in non-SaaS or B2C contexts.
  • Customization: The Python tools are open source (MIT License) and designed for extension—adapt scripts and frameworks to fit your company’s revenue motion.
  • Versioning: The current release is 1.0.0 (as of March 2026); check the repository for updates and community contributions.
  • Data Security: Ensure sensitive pipeline and customer data are handled securely, especially when integrating with external systems or sharing output files.
  • Support: For advanced scenarios or customizations, review the source documentation or engage with community forums on the project’s GitHub page.