Revenue Model Generator
Build data-driven revenue models for your startup. Compare pricing strategies, analyze unit economics, and optimize monetization with AI guidance.
How You Monetize Determines If You Survive
Many promising startups fail because they chose the wrong monetization strategy. Getting this right is critical.
Wrong Pricing Model
Choosing the wrong business model (freemium when you should be B2B, SaaS when you should be service, etc.) dooms you from the start.
Unit Economics Don't Work
If your customer acquisition cost is higher than customer lifetime value, no amount of growth saves you. Broken unit economics kill startups.
Guessing at Pricing
Most founders underprice out of fear. You have no idea what customers will actually pay or what competitors charge.
Ignoring Pricing Complexity
Pricing isn't just one number. You need plans, tiers, discounts, and packaging. Most founders don't think this through.
What You Get
Data-driven revenue models that pass investor scrutiny.
Pricing Strategies
Multiple pricing models with rationale and comparison.
- Value-based pricing analysis
- Competitive pricing benchmarks
- Tier and plan recommendations
Unit Economics
Detailed CAC, LTV, and payback period analysis.
- CAC calculation and reduction
- LTV and retention impact
- Payback period analysis
Scenario Analysis
Compare different pricing and growth scenarios.
- Best/realistic/worst case scenarios
- Sensitivity analysis
- Revenue impact of pricing changes
Recommendations
Actionable guidance on optimal pricing and model choice.
- Recommended pricing
- Go-to-market implications
- Implementation roadmap
Build a Revenue Model That Works
Generate realistic, defensible revenue models backed by data and competitive analysis.