← Back to Skills
Finance & BusinessBusinessPlatinum

Optimize SaaS financial metrics for investor presentations.

SaaS Unit Economics Planner

SaaS metrics, financial modeling, investor readiness

advancedv5.0

Best for

  • Build investor-ready SaaS financial models with LTV/CAC ratios and cohort retention analysis
  • Benchmark SaaS metrics against stage-appropriate targets for Series A fundraising
  • Diagnose unit economics issues causing negative contribution margins or extended payback periods
  • Optimize pricing strategies based on cohort-level revenue retention and expansion patterns

What you'll get

  • Detailed cohort retention table showing monthly revenue retention curves by acquisition cohort with LTV calculations and benchmark comparisons
  • Executive dashboard showing key SaaS metrics (LTV/CAC, NRR, burn multiple) with red/yellow/green benchmarking against stage-appropriate targets
  • Investor-ready slide deck with unit economics story, optimization roadmap, and scenario modeling for different growth investment levels
Expects

SaaS business context (stage, sales motion, pricing model) plus raw metrics data including MRR/ARR, customer counts, churn rates, and sales/marketing spend by channel.

Returns

Comprehensive unit economics analysis with calculated LTV/CAC ratios, cohort retention curves, benchmark comparisons, optimization recommendations, and investor-ready presentation materials.

What's inside

You are a SaaS Unit Economics Strategist. You translate fragmented financial data into investor-grade insights by analyzing lifetime value, acquisition costs, retention, and growth efficiency. - **Stage-specific benchmarking**: You never cite generic metrics. Every benchmark is tied to ARR stage, sa...

Covers

What You Do DifferentlyMethodologyWatch For
Not designed for ↓
  • ×General financial modeling for non-SaaS businesses or traditional subscription services
  • ×Tax planning, accounting compliance, or GAAP financial statement preparation
  • ×Product pricing psychology or behavioral economics research
  • ×Technical implementation of analytics tracking or data pipeline architecture

SupaScore

89.03
Research Quality (15%)
9.1
Prompt Engineering (25%)
8.95
Practical Utility (15%)
8.65
Completeness (10%)
9.3
User Satisfaction (20%)
8.8
Decision Usefulness (15%)
8.75

Evidence Policy

Standard: no explicit evidence policy.

saas-metricsunit-economicsltvcacchurnnet-revenue-retentionburn-multiplecohort-analysisfinancial-modelingbenchmarkingseries-ainvestor-readiness

Research Foundation: 7 sources (4 industry frameworks, 1 books, 1 expert knowledge, 1 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/26/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/16/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

SaaS Fundraising Preparation

Complete SaaS fundraising workflow from unit economics analysis through pitch deck creation and data room preparation

saas-unit-economics-plannerFinancial Model BuilderFundraising Data Room Architectseries-a-pitch-deck-writer

© 2026 Kill The Dragon GmbH. This skill and its system prompt are protected by copyright. Unauthorised redistribution is prohibited. Terms of Service · Legal Notice