HOW POLYMARKET WORKS

Polymarket turns questions about future events into markets people can trade.

Users buy YES or NO positions based on what they believe will happen.

The result is more than a betting platform. It becomes a real-time information system powered by money, incentives, and collective intelligence.

THE BIG IDEA

THE PROBLEM

People make important decisions using polls, news, social media, and expert opinions.

But these sources can be slow, biased, emotional, or incomplete.

People can say anything when being wrong has no direct cost.

THE SHIFT

Polymarket asks people to support their predictions with money.

Someone saying an event has a 70% chance means little.

Someone buying thousands of dollars of YES shares at 70 cents sends a stronger signal because they lose money when wrong.

THE SOLUTION

Polymarket creates tradable markets around clear future events.

Examples:

Will a candidate win?

Will Bitcoin reach a price?

Will a company launch a product?

Will a team win a match?

THE CORE PRODUCT

Every market asks one measurable question.

Users can buy YES when they believe the event will happen.

They can buy NO when they believe it will not happen.

The market price changes as new information and trading activity enter the system.

TWO PRODUCTS IN ONE

For traders, Polymarket is a place to profit from being correct.

For everyone else, it is a place to see what the market currently believes.

Trading produces probability data.

Probability data attracts more attention and more traders.

HOW TRADING WORKS

YES AND NO SHARES

A basic Polymarket market has two positions:

YES and NO.

Each share trades between $0 and $1.

When the event ends, the winning share becomes worth $1. The losing share becomes worth $0.

PRICE BECOMES PROBABILITY

A YES price of $0.65 represents an implied probability of approximately 65%.

A price of $0.20 represents approximately 20%.

Polymarket does not manually decide this probability. It emerges from buy and sell orders placed by users.

A SIMPLE EXAMPLE

Question:

Will Company X launch before October?

YES trades at $0.40.

You buy 100 YES shares for $40 because you believe the real probability is much higher.

WHEN YOU ARE CORRECT

Company X launches before October.

Each YES share becomes worth $1.

Your 100 shares become worth $100.

Position cost: $40.

Gross profit: $60 before applicable fees.

WHEN YOU ARE WRONG

Company X does not launch before October.

Each YES share becomes worth $0.

Your $40 position loses its value.

The trader who bought the correct NO position receives the winning payout.

YOU CAN EXIT EARLY

You do not always need to wait for the event to finish.

Suppose YES rises from $0.40 to $0.70 after positive news.

You can sell your shares at the higher price and take the trading profit before final settlement.

THE ORDER BOOK

Polymarket uses an order book.

Buyers submit the maximum price they are willing to pay.

Sellers submit the minimum price they will accept.

When prices match, the trade executes.

MAKER AND TAKER

A maker places an order and waits for someone to accept it.

A taker immediately accepts an existing order.

Makers add liquidity to the market.

Takers remove liquidity by executing against available orders.

WHERE THE MONEY GOES

FULLY COLLATERALIZED

Polymarket does not need to use company money to pay every winner.

YES and NO positions are backed by deposited collateral.

Together, one complete YES and NO pair always represents $1 of underlying value.

CREATING POSITIONS

$1 of collateral can be split into:

One YES token

One NO token

The two tokens can then be sold to different traders based on their beliefs about the future event.

AFTER RESOLUTION

When the event is resolved:

The correct token becomes worth $1.

The incorrect token becomes worth $0.

The original collateral is transferred to holders of the winning position.

POLYMARKET IS AN EXCHANGE

Polymarket generally operates as a marketplace between participants.

It connects people who disagree about future outcomes.

One side buys YES. Another side buys NO.

The platform provides the market infrastructure.

MARKET RESOLUTION

Every market needs clear rules before trading starts.

The rules define:

What counts as YES

What source determines the result

The exact deadline

What happens when the outcome is delayed or unclear

THE ORACLE

Polymarket uses external resolution infrastructure to verify outcomes.

A result is proposed after the event.

Participants can dispute an incorrect result.

Once finalized, winning positions become redeemable.

WHY WORDING MATTERS

A market such as 'Will Company X launch?' can be unclear.

Does launch mean announcement, beta access, public availability, or first customer delivery?

Good market design removes ambiguity before users put money at risk.

HOW POLYMARKET MAKES MONEY

TRADING FEES

Polymarket can earn revenue when users execute trades.

Fees may vary by market category, product, and jurisdiction.

The business grows when more people trade, trade more frequently, and return to trade new events.

WHY CHARGE TAKERS

Takers receive immediate execution because makers already placed orders in the market.

Charging takers allows Polymarket to monetize convenience while encouraging makers to keep adding liquidity.

MAKER INCENTIVES

Some collected fees can be returned to market makers through rebates or rewards.

This reduces short-term margin.

But it improves the product by creating tighter prices, deeper markets, and faster execution.

DATA AS A PRODUCT

Polymarket produces real-time probability data about politics, sports, finance, technology, and culture.

This data can be useful to media companies, financial platforms, researchers, analysts, and AI systems.

DISTRIBUTION PARTNERSHIPS

Polymarket can distribute its probabilities through media, sports platforms, websites, APIs, and embedded products.

These partnerships increase reach without requiring every user to discover Polymarket directly.

DEVELOPER INFRASTRUCTURE

Developers can use market data and trading infrastructure to create:

Trading terminals

News applications

AI forecasting agents

Analytics tools

Portfolio trackers

Embedded prediction products

THE GROWTH ENGINE

THE LIQUIDITY LOOP

More traders create more orders.

More orders create deeper liquidity.

Deeper liquidity produces tighter spreads and better prices.

Better markets attract more traders.

This loop strengthens the platform over time.

THE INFORMATION LOOP

Trading produces real-time probability data.

Media and social platforms share that data.

More people discover the market.

Some become traders.

Their trades improve the probability signal and generate more attention.

EVENTS CREATE INVENTORY

Polymarket does not need to manufacture physical products.

New market opportunities appear whenever the world produces elections, sports matches, product launches, economic decisions, awards, price movements, and major news events.

SPORTS INCREASE FREQUENCY

Political elections happen occasionally.

Sports happen every day.

Every match can create multiple markets, live updates, repeated trading, and predictable demand.

This can significantly increase user frequency and transaction volume.

NEWS IS FREE MARKETING

When media reports that a candidate has a 65% market probability, Polymarket receives distribution.

The probability becomes content.

The content sends people back to the market where the probability was created.

THE MAIN COSTS

LIQUIDITY INCENTIVES

A market without buyers and sellers is not useful.

Polymarket may need to reward market makers for maintaining competitive prices and sufficient order-book depth, especially in new or less popular markets.

TECHNOLOGY COSTS

Polymarket must operate trading engines, order books, wallets, APIs, databases, deposits, withdrawals, blockchain settlement, monitoring systems, security infrastructure, and customer support.

COMPLIANCE COSTS

The platform must handle identity verification, anti-money-laundering controls, restricted regions, market surveillance, insider trading, manipulation, consumer protection, and regulatory reporting.

CUSTOMER ACQUISITION

Growth costs can include referrals, promotions, sponsorships, creator partnerships, sports partnerships, media distribution, educational content, and incentives for new depositors.

RESOLUTION OPERATIONS

Every market must be researched, written, monitored, and resolved.

Unclear events may require disputes and human review.

Bad resolution damages trust across the entire platform, not only one market.

THE COMPETITIVE MOAT

LIQUIDITY IS THE MOAT

A competitor can copy the interface.

It cannot instantly copy active traders, market makers, available capital, order-book depth, and trading history.

Liquidity attracts liquidity.

BRAND AND TRUST

Users must trust that funds are secure, prices are real, rules are clear, and outcomes will be resolved fairly.

Brand trust becomes critical when users are placing money on uncertain future events.

HISTORICAL DATA

Over time, Polymarket builds a unique database of prices, probabilities, volume, trader behavior, news reactions, and final outcomes.

This history can improve analytics, market creation, risk detection, and future products.

REGULATORY INFRASTRUCTURE

Licenses, compliance systems, surveillance tools, legal relationships, and regulatory experience take years to develop.

This creates a barrier for new competitors entering the same market.

DEVELOPER ECOSYSTEM

When developers build products using Polymarket data and infrastructure, they create new distribution channels.

Every external application can bring more users, volume, use cases, and market data back into the ecosystem.

THE MAIN RISKS

REGULATORY RISK

Prediction markets may be classified as derivatives, gambling, sports betting, financial contracts, or another regulated product.

Each classification creates different licensing and operating requirements.

INSIDER INFORMATION

People may trade using confidential information about government decisions, company launches, economic data, sports injuries, or political campaigns.

The platform needs surveillance and enforcement systems.

MANIPULATION RISK

A trader may attempt to move a market price to create a misleading public signal.

Thin markets are especially vulnerable.

Deep liquidity and transparent order books make manipulation more expensive.

LIQUIDITY RISK

A market showing 80% is not automatically reliable.

The amount of money available near that price matters.

An 80% market with deep liquidity sends a stronger signal than one created by a few small trades.

RESOLUTION RISK

When market wording is vague, both sides may believe they won.

Even a technically correct decision can create backlash when users interpreted the question differently.

Clear rules are part of the product.

REPUTATION RISK

Markets involving war, death, disasters, crime, or public tragedy may attract criticism.

Polymarket must decide where to balance open information markets with responsible product standards.

STARTUP LESSONS

BUILD A MARKETPLACE

Polymarket creates the infrastructure for other people to exchange value.

The platform does not need to produce every market opinion or take the opposite side of every trade.

It organizes participants.

TURN ACTIVITY INTO DATA

The strongest platforms produce valuable data as a side effect of normal user activity.

Polymarket users come to trade.

Their trades generate probabilities that are useful even to people who never trade.

SUBSIDIZE THE BOTTLENECK

A prediction market fails when users cannot trade easily.

Polymarket can spend on market makers and liquidity rewards because liquidity improves every other part of the business.

CREATE A GROWTH LOOP

Trades create probabilities.

Probabilities become news.

News attracts users.

Users create more trades.

The best growth loops make product usage generate the next wave of distribution.

MAKE SUPPLY INFINITE

Polymarket's supply is connected to real-world events.

As long as the world keeps producing uncertainty, the platform has new inventory.

This allows the product to stay fresh without manufacturing physical goods.

TRUST IS THE PRODUCT

Users are not only trusting the interface.

They are trusting the market rules, collateral, settlement, resolution process, security, compliance, and fairness.

Every layer must protect confidence.

THE REAL BUSINESS

The visible product is prediction trading.

The deeper business is converting millions of beliefs into continuously updated probabilities.

Those probabilities can power media, finance, research, sports, AI, and decision-making.

THE POLYMARKET FLYWHEEL

More markets create more trading.

More trading creates better probability data.

Better data attracts media, users, and developers.

More users deepen liquidity.

Deeper liquidity makes the next market more valuable.

FINAL TAKEAWAY

Polymarket turns uncertainty into a product.

It connects people with different beliefs, uses money to measure conviction, and transforms trading activity into public information.

Its long-term advantage is the combination of liquidity, data, distribution, regulation, and trust.

STARTUP BUSINESS MODELS & PRICING

A strong product still needs a strong way to make money.

This StackSlide explains nine proven startup business models, what YC’s biggest winners teach us, how durable companies build moats, and how founders can price products to learn and grow.

CHOOSE THE ENGINE

WHAT IS A BUSINESS MODEL?

A business model is the system your company uses to earn revenue.

Many startups struggle because they build a product without choosing a clear money-making engine. Growth stalls, investors hesitate, and the team cannot explain how the business becomes large.

NINE PROVEN MODELS

Most billion-dollar companies use one of nine models:

• SaaS
• Transactional
• Marketplace
• Usage-based
• Enterprise
• Advertising
• E-commerce
• Hard tech
• Bio

The product can be new. The money model usually should be proven.

USE ONE PRIMARY MODEL

Large companies may combine several models later.

An early-stage startup should focus on one primary model. This makes pricing, metrics, customer acquisition, product priorities, and investor communication easier to understand.

COPY THE MODEL, INNOVATE THE PRODUCT

Founders often try to invent both a new product and a new way to make money.

That creates unnecessary risk. Use a business model customers already understand, then focus innovation on the product, experience, technology, or market insight.

SAAS

WHAT IS SAAS?

Software as a Service gives customers continuous access to cloud-based software.

Customers usually pay monthly or annually. The company keeps earning as long as the product continues solving an important and recurring problem.

HOW SAAS MAKES MONEY

Revenue comes from subscriptions based on users, features, storage, or company size.

Key metrics:
• Monthly recurring revenue
• Churn
• Retention
• Lifetime value
• Acquisition cost

The main challenge is keeping customers subscribed.

WHEN SAAS WORKS BEST

SaaS works best when customers need the product repeatedly.

Examples include accounting, customer management, collaboration, security, and workflow software. The product should become part of the customer’s routine and improve over time.

TRANSACTIONAL

WHAT IS A TRANSACTIONAL MODEL?

A transactional business helps customers receive, send, manage, or process money.

The company earns a fixed fee or percentage whenever a transaction happens. Stripe, Coinbase, and Brex are examples highlighted in the Startup School lesson.

HOW TRANSACTIONAL MAKES MONEY

Revenue grows with the number and value of transactions processed.

Key metrics:
• Transaction volume
• Take rate
• Revenue per transaction
• Payment losses
• Customer retention

The strongest products become critical financial infrastructure.

WHY TRANSACTIONAL MODELS WIN

The closer a company is to the transaction, the easier it is to capture value.

When customers depend on a platform to receive or move money, switching becomes painful. Embedded workflows and high switching costs make the business durable.

MARKETPLACE

WHAT IS A MARKETPLACE?

A marketplace brings two groups together so they can exchange products, services, assets, or information.

Airbnb connects travelers with hosts. DoorDash connects customers with restaurants and delivery workers. The platform becomes more valuable as participation grows.

HOW MARKETPLACES MAKE MONEY

Marketplaces charge commissions, listing fees, service fees, subscriptions, or payment fees.

Key metrics:
• Gross transaction value
• Take rate
• Supply growth
• Demand growth
• Match rate
• Repeat transactions

THE MARKETPLACE CHALLENGE

A marketplace cannot grow by serving only buyers or only sellers.

It must create enough supply to attract demand and enough demand to retain supply. This chicken-and-egg problem makes marketplaces difficult to launch.

THE MARKETPLACE ADVANTAGE

Once the marketplace reaches liquidity, each new participant can increase value for everyone else.

More supply attracts more demand. More demand attracts more supply. This loop can create a winner-take-most market.

USAGE-BASED

WHAT IS USAGE-BASED PRICING?

A usage-based business charges according to what customers consume.

The unit may be API calls, computing time, storage, messages, transactions, generated outputs, or data processed. Customer spending grows naturally when usage increases.

HOW USAGE-BASED MAKES MONEY

The company defines a measurable unit and charges for each unit consumed.

Key metrics:
• Usage volume
• Revenue per unit
• Gross margin
• Expansion revenue
• Customer concentration

Pricing must remain understandable and predictable.

WHEN USAGE-BASED WORKS BEST

This model works when usage closely reflects customer value.

A customer processing more payments, storing more data, or generating more outputs usually receives more benefit. The company earns more without forcing an immediate plan upgrade.

ENTERPRISE

WHAT IS AN ENTERPRISE MODEL?

Enterprise companies sell products to corporations, governments, institutions, or other large organizations.

Customers may require security reviews, integrations, procurement approval, training, contracts, and dedicated support.

HOW ENTERPRISE MAKES MONEY

Revenue may come from annual licenses, multi-year contracts, implementation fees, support, or usage commitments.

Key metrics:
• Contract value
• Sales cycle
• Renewal rate
• Expansion revenue
• Implementation cost

THE ENTERPRISE TRADE-OFF

Enterprise sales can take months because several decision-makers are involved.

Once installed, the product may become deeply connected to the organization’s systems and data. This can reduce churn and create high switching costs.

ADVERTISING

WHAT IS AN ADVERTISING MODEL?

Advertising businesses build an audience, then sell access to that audience.

Advertisers pay to place messages, promoted content, listings, or campaigns in front of users. The model works best with massive reach, engagement, and frequent usage.

HOW ADVERTISING MAKES MONEY

Revenue may be based on impressions, clicks, views, leads, or completed actions.

Key metrics:
• Active users
• Time spent
• Ad impressions
• Revenue per user
• Advertiser retention

WHY ADVERTISING IS DIFFICULT

Advertising usually produces little revenue until the platform reaches a large audience.

The product needs strong organic distribution or virality. Ads should rarely be the primary model unless the company can become a major destination for users.

E-COMMERCE

WHAT IS E-COMMERCE?

An e-commerce business sells physical or digital products through an online store or platform.

The company controls product selection, pricing, customer experience, and distribution. Revenue is generated whenever a customer completes an order.

HOW E-COMMERCE MAKES MONEY

Profit comes from the difference between the selling price and the total cost of producing, acquiring, marketing, and delivering the product.

Key metrics:
• Order value
• Gross margin
• Repeat order rate
• Acquisition cost
• Inventory turnover

WHAT MAKES E-COMMERCE STRONG

The first purchase may be expensive to acquire.

A strong e-commerce business brings customers back through product quality, replenishment, brand trust, bundles, memberships, or new releases. Repeat orders increase lifetime value.

HARD TECH

WHAT IS HARD TECH?

Hard-tech companies solve problems through advanced engineering, hardware, robotics, energy, transportation, manufacturing, or infrastructure.

Products may require years of research, testing, certification, and capital before commercial launch.

HOW HARD TECH MAKES MONEY

Revenue may come from product sales, long-term contracts, licensing, maintenance, or infrastructure usage.

Key metrics:
• Development milestones
• Manufacturing cost
• Gross margin
• Capital requirements
• Production capacity

THE HARD-TECH MOAT

Long development cycles can become a competitive advantage.

A rival cannot copy years of engineering, testing, supplier relationships, patents, and regulatory work overnight. Technical depth can create a durable moat.

BIO

WHAT IS A BIO BUSINESS?

Bio companies apply biology to medicine, healthcare, agriculture, food, materials, diagnostics, or industrial production.

Products may require scientific research, laboratory development, clinical validation, regulatory approval, and intellectual property.

HOW BIO MAKES MONEY

Bio companies may earn through product sales, treatments, testing, licensing, partnerships, or milestone payments.

Key metrics:
• Research progress
• Trial results
• Approval milestones
• Intellectual property
• Development capital

THE BIO MOAT

Breakthrough science, patents, proprietary data, specialized teams, and regulatory approvals can create strong protection.

Development takes time and capital, but successful innovation can produce valuable and difficult-to-copy businesses.

WHAT THE BIGGEST WINNERS TEACH

THE YC TOP 100 PATTERN

Among YC’s top 100 companies:

• SaaS: 31%
• Transactional: 22%
• Marketplaces: 14%

Together, these three models represent 67% of the list. They repeatedly produce scalable revenue and durable customer relationships.

THE POWER LAW

Startup outcomes are not evenly distributed.

In the YC data discussed, roughly half of the total value of the top 100 companies came from only the top ten. A small number of dominant companies can outperform the rest by orders of magnitude.

MARKETPLACES BUILD HUGE WINNERS

Marketplaces represented a smaller share of the top 100 but a much larger share of total value.

Companies such as Airbnb, DoorDash, and Instacart show how network effects can create category leaders once supply and demand reinforce each other.

TRANSACTIONAL MODELS OUTPERFORM

Transactional companies outperform because they sit directly inside the flow of funds.

They become difficult to remove and often solve a top-three customer problem. Every payment, transfer, or purchase creates another monetization opportunity.

SAAS APPEARS MOST OFTEN

SaaS represents the largest share of YC’s top 100.

Predictable subscriptions support planning, hiring, product investment, and compounding growth. The model becomes powerful when retention remains high.

ADVERTISING HAS FEW WINNERS

Advertising created only a small number of top YC companies.

Successful examples became major internet destinations with strong communities or content networks. Without massive organic traffic, advertising is difficult to monetize at venture scale.

MODELS WITH STRUCTURAL LIMITS

SERVICES AND CONSULTING

Services can help founders understand customer problems and generate early revenue.

The limitation is that delivery usually scales with people, hours, and projects. Margins remain lower, and revenue may not repeat automatically.

AFFILIATE BUSINESSES

Affiliate businesses acquire a user, send them elsewhere, then wait for another company to complete the sale.

Because the business does not control the transaction, revenue is delayed, uncertain, and usually limited.

TRADITIONAL HARDWARE

Standard hardware businesses require money for parts, manufacturing, inventory, logistics, and support.

Physical costs reduce margins and make scaling expensive. Hard tech can still win when deep technical innovation creates a strong moat.

PLATFORM-DEPENDENT BUSINESSES

A startup built entirely on another platform faces platform risk.

The larger platform can change rules, restrict access, copy the feature, or capture the revenue. A useful distribution channel should not become the only foundation of the business.

BUILD A DURABLE BUSINESS

RECURRING REVENUE NEEDS RETENTION

Subscriptions only work when customers continue receiving value.

If users leave quickly, recurring revenue becomes an illusion. The product must solve an ongoing problem, become part of a routine, or improve over time.

SMALL CHURN CREATES A BIG LOSS

With 95% monthly retention, 100 customers become about 54 after one year.

With 90% monthly retention, only about 28 remain.

A five-point monthly difference can determine whether a startup compounds or constantly replaces lost users.

BUILD A MOAT

Strong companies defend themselves through:

• Network effects
• Switching costs
• Customer data
• Technical innovation
• Economies of scale
• Better margins
• Organic distribution

GET CLOSE TO THE TRANSACTION

The strongest position is where customers already exchange money or depend on your product to complete important work.

Being close to the transaction makes monetization clearer and can turn the product into critical infrastructure.

SCALE WITH SOFTWARE

Software can serve more customers without adding people at the same rate.

Human support may still matter, but the core delivery should become repeatable, automated, and increasingly efficient. This improves margins as the company grows.

EARN ORGANIC DISTRIBUTION

Word of mouth, referrals, collaboration, shared outputs, and user-generated content can reduce acquisition costs.

A company that gains users organically can grow faster than a competitor that must pay for every customer.

THE BEST BUSINESS PATTERN

The strongest startup businesses usually:

• Generate recurring revenue
• Retain customers
• Build defensible moats
• Stay close to transactions
• Scale through software
• Use a proven model

PRICING IS A LEARNING TOOL

START CHARGING

Founders often delay charging because they fear rejection.

Payment is one of the clearest signals of value. It shows who truly wants the product, which segment cares most, and whether the problem is important enough to justify spending.

A NO IS USEFUL DATA

When customers refuse to pay, the product may lack value, target the wrong segment, solve a weak problem, or carry the wrong price.

Charging converts opinions into evidence and helps founders learn faster.

FIND THE RIGHT MAGNITUDE

Early pricing does not need perfect formulas.

The first goal is to find the correct order of magnitude. If customers will pay $100 and you charge $10, the gap matters. If they will pay $15 and you charge $10, you are already close.

PRICE ON VALUE

Cost is what you spend to serve the customer.
Price is what the customer pays.
Value is what the result is worth to them.

Your margin sits between cost and price. Your pricing opportunity sits between price and perceived value.

FOUR SOURCES OF VALUE

Customers usually pay because a product helps them:

• Make more money
• Reduce costs
• Move faster
• Avoid risk

Ask which result matters most, then connect pricing to the economic or strategic value created.

RAISE UNTIL YOU LEARN

Increase prices gradually and observe customer reactions.

The useful range is often where customers hesitate, ask questions, or negotiate, yet still decide to pay. Instant acceptance from everyone may mean the price is too low.

MOST STARTUPS UNDERCHARGE

A low price can signal low value and reduce the money available for product, service, and customer acquisition.

Large competitors can often cut prices further. Build a stronger product and charge for the value created.

HIGHER PRICES EXPAND OPTIONS

Higher margins allow a startup to invest more in acquisition, product quality, support, and distribution.

A price increase can grow revenue faster than acquiring the same number of new customers, provided the product supports it.

WHEN USERS WILL NOT PAY MORE

Resistance to higher pricing usually means the product needs more value or the problem is too small.

Move toward a top-three customer problem connected to revenue, cost, speed, risk, or a critical workflow.

DISCOUNT WITH A REASON

A lower price can make sense when it secures:

• The first user
• A strong reference
• A recognizable logo
• Valuable feedback
• Future expansion
• Long-term lock-in

Discount intentionally, not automatically.

PRICING CAN CHANGE

Pricing evolves as the product improves.

You can raise prices for new customers, grandfather existing customers, provide advance notice, or introduce higher-value plans. Early pricing is a starting point, not a permanent decision.

KEEP PRICING SIMPLE

Too many plans, discounts, crossed-out prices, and conditions create confusion.

Use a small number of clear options. Explain who each plan is for, what value it provides, and what it costs.

THE SEGMENT PRICING LESSON

Segment first considered charging only $120 per year.

After stronger sales guidance, an early deal closed at $18,000 per year. Founders cannot discover willingness to pay without asking for a meaningful price.

FIVE PRICING RULES

THE PRICING PLAYBOOK

1. Charge early.

2. Price based on value.

3. Assume you may be undercharging.

4. Change pricing as you learn.

5. Keep the buying decision simple.

Pricing is a system for discovering demand.

BUILD, CHARGE, LEARN

Choose one proven business model.

Identify the ongoing value customers receive.

Set a simple price, ask real users to pay, and study their response.

Then improve the product, retention, moat, and pricing with every cycle.