What Are the Ways to Monetise My Software? And How to Build a Money Model That Maximises Valuation

Monetisation is not a feature you add after launch. It is an architecture decision you make before Sprint 1 that shapes every feature, every user flow, and every valuation conversation.

Editorial note: Founder quotes throughout this article are composites drawn from multiple EB Pearls engagements. The numbers and decisions are real. Identifying details have been changed.

Why We Wrote This

Most founders think about monetisation as pricing: how much to charge. The real question is deeper: how does your money model align with user behaviour, product architecture, and investor expectations? This article covers the seven monetisation models, their valuation implications, and how to choose the right one for your product.

Introduction: Why Monetisation Is an Architecture Decision

A SaaS subscription model requires a permission system, billing cycle management, trial logic, and upgrade/downgrade flows. A transaction fee model requires payment processing, escrow (for marketplaces), refund handling, and revenue recognition. A freemium model requires feature gating, usage tracking, and conversion funnels.

Each model demands different database schemas, different API structures, and different user experience patterns. Choosing the wrong model and retrofitting later costs 3 to 5x more than building the right model from Phase 1. For the full cost picture, see what is included in development costs.

According to a ProfitWell study of 4,200+ SaaS companies, the companies that designed their monetisation model before building their product had 23% higher net revenue retention than those that added monetisation post-launch. The difference is architectural: purpose-built systems outperform bolted-on systems.

The Seven Monetisation Models

Model 1: SaaS Subscription

How it works: Users pay a recurring fee (monthly or annual) for access to the product. Pricing is typically tiered by features, usage limits, or number of users.

Best for: B2B tools, productivity software, analytics platforms. Any product where users derive ongoing value from continuous access.

Valuation multiple: 8 to 15x annual recurring revenue (ARR) for healthy SaaS metrics. The highest multiples go to products with net revenue retention above 120%.

Architecture requirements: permission system, billing cycle management, trial logic, upgrade/downgrade flows, usage metering (if tiered by usage).

Model 2: Transaction Fees

How it works: The platform takes a percentage of each transaction processed through it. Standard range: 5 to 20%.

Best for: Marketplaces, payment platforms, booking systems. Any product where the core value is connecting buyers and sellers or processing transactions.

Valuation multiple: 4 to 8x annual gross transaction volume margin. Higher for marketplaces with strong network effects.

Architecture requirements: payment processing (Stripe Connect for marketplaces), escrow for two-sided transactions, refund handling, revenue recognition, and robust fraud detection.

Model 3: Freemium

How it works: Core product is free. Premium features require payment. The free tier serves as a user acquisition channel.

Best for: Products with strong network effects, low marginal cost per user, and premium features that power users need but casual users do not.

Valuation multiple: Valued on conversion rate (free to paid) and paid user metrics. Typically 6 to 12x ARR of the paid cohort.

Architecture requirements: feature gating system, usage tracking, conversion funnel analytics, and the ability to demonstrate premium value within the free tier (the 'aha moment' must be accessible for free).

Model 4: Usage-Based Pricing

How it works: Users pay based on consumption. API calls, storage, compute time, messages sent.

Best for: Infrastructure products, AI/ML platforms, communication tools. Any product where usage varies significantly between customers.

Valuation multiple: 6 to 12x ARR, with premium for expansion revenue (customers naturally spend more over time).

Architecture requirements: granular usage metering, real-time billing calculation, usage alerts, and spending controls.

Model 5: Licensing

How it works: One-time or periodic fee for the right to use the software. Often perpetual with optional maintenance contracts.

Best for: Enterprise software with long implementation cycles, on-premise deployments, or regulated industries requiring data sovereignty.

Valuation multiple: 1 to 3x annual revenue. Lowest multiples because revenue is non-recurring.

Model 6: Advertising

How it works: Product is free. Revenue comes from displaying ads to users.

Best for: Consumer products with 100K+ monthly active users and high engagement. Not viable for B2B or low-volume products.

Valuation multiple: Highly variable. Valued on user base and engagement metrics rather than revenue.

Model 7: Data and API Monetisation

How it works: The product generates valuable data or capabilities that third parties pay to access via API.

Best for: Products with unique data assets, aggregation platforms, or specialised AI models. Many of these decisions start with the questions great founders answer before building.

Valuation multiple: 8 to 15x ARR, premium for unique data moats.

How to Build a Valuation-Maximising Money Model

1. Start with the Value Moment
   Identify when the user receives value. Charge at or after that moment, never before. A scheduling app's value moment is when the first appointment is booked, not when the account is created.

2. Choose the Model That Aligns with User Behaviour
   If users consume your product continuously (daily tool), subscription. If they transact through it (marketplace), transaction fees. If usage varies wildly (API), usage-based. Misalignment between model and behaviour creates friction.

3. Design the Architecture Before Sprint 1
   Permission systems, billing integration, and usage tracking built into the foundation. Retrofitting costs 3 to 5x more.

4. Price Against the Alternative, Not the Competition
   If your product saves 6 hours per week of manual scheduling, price against the cost of those 6 hours (AU$300+ per week for a tradesperson), not against the competitor's AU$29/month. Value-based pricing captures more of the value you create. For how pricing connects to growth, see a marketing strategy for custom software.

5. Track the Four Valuation Metrics from Day 1
   MRR (monthly recurring revenue), churn rate, LTV:CAC ratio (lifetime value to customer acquisition cost), and net revenue retention. These four metrics determine your valuation multiple. If you are not tracking them, you are not building toward a valuation. When you are ready to pitch investors, see how to be investor-ready.

• Monetisation model chosen before Phase 2 development begins

• Architecture supports the chosen model (permissions, billing, metering)

• Pricing validated through willingness-to-pay interviews (not guessing)

• Value moment identified and monetisation aligned to it

• MRR, churn, LTV:CAC, and net revenue retention tracked from launch

• Free trial or freemium tier designed to demonstrate value before payment

• Phase 2 scope includes billing integration and payment processing  

Frequently Asked Questions

Free Founder Resources

1. Monetisation Model Decision Matrix (PDF) A one-page framework for selecting the right model based on product type, user behaviour, and valuation goals.

2. Unit Economics Calculator (Google Sheets) Model MRR, churn, LTV, CAC, and net revenue retention for your chosen pricing. Includes valuation projections.

3. Pricing Validation Interview Script (Google Docs) 10 questions for willingness-to-pay interviews that reveal the price range your users will accept.

Final Thought

The money model is not something you add to a finished product. It is something you design into the product's foundation. The founders who maximise valuation are not the ones who charge the most. They are the ones who align their monetisation with user behaviour, build the architecture to support it, and track the metrics that investors use to set multiples. For what comes next, see life after launch.

Revenue is a feature. It needs to be designed, built, tested, and iterated just like every other feature in your product.