Revenue analytics program options

Choose Your Revenue Analytics Path

Three specialized programs designed to develop capabilities in subscription metrics, pricing strategy, and customer value optimization.

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Revenue Analytics Programs

Each program focuses on a specific area of revenue analytics, providing structured frameworks and practical tools you'll use in your professional work.

SaaS Metrics and Analytics program

SaaS Metrics and Analytics

¥53,000

Master subscription business metrics for driving growth and investor readiness through systematic analysis of MRR/ARR, cohort behavior, and unit economics.

MRR/ARR calculation and forecasting
Cohort analysis and retention tracking
Unit economics optimization
Investor dashboard development
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Pricing Strategy and Optimization program

Pricing Strategy and Optimization

¥58,000

Develop data-driven pricing strategies that maximize revenue through elasticity analysis, competitive intelligence, and value-based models.

Price sensitivity analysis
Willingness-to-pay research
Subscription tier optimization
Pricing experiment design
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Customer Lifetime Value Optimization program

Customer Lifetime Value Optimization

¥50,000

Maximize customer value through retention improvement and expansion revenue strategies, building predictive models and retention programs.

CLV modeling and forecasting
Churn prediction frameworks
Expansion revenue strategies
Customer health scoring
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Program Comparison

Feature SaaS Metrics Pricing Strategy CLV Optimization
Investment ¥53,000 ¥58,000 ¥50,000
Primary Focus Subscription metrics tracking Revenue pricing strategies Customer value maximization
Core Metrics MRR, ARR, CAC, LTV Elasticity, WTP, conversion CLV, churn, expansion
Key Deliverables Metrics dashboard Pricing models Retention frameworks
Suitable For SaaS professionals, analysts Pricing analysts, product managers Retention specialists, growth analysts
Program Duration weeks weeks weeks

What All Programs Include

Structured Curriculum

Comprehensive frameworks covering foundational concepts through advanced applications, with progressive complexity building on each phase.

Practical Templates

Spreadsheet models, dashboard templates, and analytical frameworks you can adapt and use immediately in your professional work.

Real-World Scenarios

Case examples and exercises that mirror actual business challenges, helping you develop judgment alongside technical proficiency.

Quality Standards

Frameworks based on established analytical methodologies, validated through industry application and professional practice.

Choosing the Right Program

Each program addresses a distinct area of revenue analytics, though they share common analytical foundations. Your choice depends on your current role responsibilities, the challenges you're looking to address, and where you want to develop capabilities.

Program Selection Guide

1 Choose SaaS Metrics and Analytics if:

  • • You need to establish systematic subscription metrics tracking for your organization
  • • You're building financial models for investors and need confidence in your assumptions
  • • You want to develop dashboards and reporting frameworks for stakeholders

2 Choose Pricing Strategy and Optimization if:

  • • You're responsible for pricing decisions and want data-driven frameworks
  • • You need to evaluate pricing changes systematically and project revenue impact
  • • You want to conduct pricing experiments and analyze customer willingness to pay

3 Choose CLV Optimization if:

  • • You're focused on retention improvement and reducing customer churn
  • • You want to build predictive models for identifying at-risk customers
  • • You need frameworks for expansion revenue and customer value maximization

Ready to Begin Your Analytics Journey?

Reach out to discuss which program aligns with your professional development goals and current experience level.

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