claude-skills-reference/marketing-skill/pricing-strategy/references/pricing-models.md

Pricing Models — Deep Dive

Comprehensive reference for SaaS pricing models with real-world examples and when to use each.

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Model 1: Per-Seat / Per-User

How it works: Price is multiplied by the number of users who access the product.

Best for:

• Collaboration tools where more users = more value
• CRMs where every sales rep needs access
• Tools where the organization is the buyer and seats map to headcount

Examples: Salesforce ($25-300/seat/mo), Linear ($8/seat/mo), Figma ($12/seat/mo), Notion ($8/seat/mo)

Expansion mechanics: Automatic as companies hire. No upsell conversation needed — new hire gets a seat, revenue grows.

Failure modes:

• Single-power-user tools (one person does all the work, team just views results) → seat pricing punishes the customer for your product's design
• Tools used by contractors or external stakeholders → billing becomes a negotiation
• Products where sharing credentials is easy and enforcement is hard

Seat pricing variants:

Variant	Description	Example
Named seat	Specific user assigned to each license	Salesforce
Concurrent seat	N users can be logged in simultaneously	Legacy enterprise software
Creator/viewer split	Creators pay, viewers free or low-cost	Figma, Miro
Minimum seat count	Plan requires minimum X seats	Most enterprise deals

Tip: Creator/viewer pricing is powerful for B2B tools where one team creates and dozens consume. It drives virality (free viewers) while capturing revenue from actual users.

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Model 2: Usage-Based (Consumption)

How it works: Customer pays for what they use — API calls, storage, compute, messages sent, emails delivered.

Best for:

• Infrastructure and developer tools
• AI/ML tools where compute cost scales with usage
• Communication platforms (email, SMS, video)
• Products where usage is highly variable across customers

Examples: Stripe (2.9% + $0.30/transaction), Twilio ($0.0075/SMS), AWS (varies), OpenAI ($0.002-0.06/1K tokens)

Expansion mechanics: Natural — as customer grows, their usage grows, revenue grows without any action. Best CAC:LTV dynamics in SaaS.

Failure modes:

• Unpredictable bills → customers cap usage to avoid overages → you've engineered your own ceiling
• High churn during market downturns → when usage drops, revenue drops
• Hard to forecast for both you and the customer

Usage pricing variants:

Variant	Description	Example
Pure consumption	Pay only for what you use	AWS Lambda
Prepaid credits	Buy credits, consume at your pace	OpenAI, Resend
Committed use + overage	Flat fee with usage ceiling, then per-unit	Stripe, Twilio volume
Tiered usage	Lower per-unit price at higher volumes	Mailchimp email tiers

Hybrid approach: Most mature usage-based companies add a platform fee (small flat monthly charge) to ensure revenue floor and reduce churn from low-usage months.

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Model 3: Feature-Based (Tiered Flat Fee)

How it works: Different bundles of features at different flat price points. The Good-Better-Best model.

Best for:

• Products with clear feature differentiation between customer segments
• Markets where predictable spend matters (CFOs love this)
• SMB-to-enterprise products where enterprise features are genuinely different

Examples: HubSpot (Starter/Professional/Enterprise), Intercom (Starter/Pro/Premium), most SaaS

Expansion mechanics: Requires upsell motion — customer has to outgrow a tier and move up. Less automatic than usage-based but more predictable.

Failure modes:

• Feature tiers that don't match actual customer needs → customers cluster in one tier, none move
• Enterprise features that aren't compelling enough to justify the jump → stuck mid-market
• Too many tiers → analysis paralysis

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Model 4: Flat Fee

How it works: One price, everything included, unlimited use.

Best for:

• Small tools with predictable cost structure
• Markets where simplicity is the differentiator
• Products where usage genuinely doesn't vary much

Examples: Basecamp ($99/mo flat), Transistor.fm (by podcast, not listeners), Calendly Basic

Expansion mechanics: None. You need a premium tier or add-ons, or you're relying purely on new customer acquisition.

Failure modes:

• Heavy users subsidized by light users → heavy users stay forever, light users churn → adverse selection
• No path to grow revenue with existing customers → stuck unless you add tiers or raise prices

When flat fee works: When your cost to serve is genuinely flat, or when market positioning around simplicity is worth more than the revenue you'd capture with usage-based pricing.

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Model 5: Freemium

Note: Freemium is an acquisition strategy, not a pricing model. It's compatible with any of the above.

How it works: Free tier with limited functionality, paid tiers above.

Best for:

• Developer tools (PLG)
• Collaboration tools that spread virally
• Products where network effects increase value with more users

Examples: Slack, Notion, Figma, GitHub, Airtable

The freemium math:

• Free users cost money to serve
• You need paid conversion rate high enough to cover free users
• Rule of thumb: 2-5% free-to-paid conversion is viable at scale, 1-2% usually isn't

Free vs. trial vs. freemium:

Model	Description	Best For
Free forever tier	Permanently limited free plan	PLG, viral loops
Time-limited trial	Full access for 14-30 days	Sales-assisted, complex products
Usage-limited trial	Full access until limit hit	Developer tools, AI
Freemium	Permanently limited, upsell to paid	Bottoms-up enterprise

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Model 6: Hybrid Pricing

Most mature SaaS companies end up with hybrid pricing. Common combinations:

Combination	Example
Platform fee + per seat	Base access + user licenses
Platform fee + usage	Monthly minimum + overage
Feature tiers + usage	Plan determines included usage, overage above
Per seat + usage	Seat license + volume pricing for heavy users

When to go hybrid:

• You have both fixed infrastructure costs and variable serving costs
• You want revenue floors (platform fee) + upside (usage)
• Different customer segments have very different value profiles

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Pricing Model Selection Framework

Answer these questions to identify the right model:

1. Does value scale with users?

• Yes, linearly → per-seat
• Yes, but not linearly → creator/viewer or per-seat with role tiers

2. Does value scale with usage?

• Yes, measurably → usage-based
• Yes, but usage is hard to measure → feature tiers with usage caps

3. Is your customer a small business wanting simplicity?

• Yes → flat fee or simple 2-3 tier feature pricing
• No → skip flat fee, go feature or usage-based

4. Do you have enterprise customers with governance/compliance needs?

• Yes → enterprise tier required (even if "Contact us")
• No → three tiers max

5. Is this a developer/technical product?

• Yes → usage-based or consumption with free tier is the market norm
• No → feature tiers with flat fee is more accessible

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Pricing Model Benchmarks

Metric	Early Stage	Growth	Scale
Trial-to-paid rate	15-25%	20-35%	25-40%
Annual vs monthly mix	30-50% annual	40-60% annual	50-70% annual
Expansion revenue	0-10% of MRR	10-20%	20-40%
Price increase frequency	Ad hoc	Annually	Annually
Churn rate (monthly)	2-8%	1-4%	0.5-2%

The LTV:CAC rule: LTV should be ≥3x CAC. If it's below 3x, pricing or retention (or both) needs fixing.