Marketing PricingSaaSStrategy

Pricing Strategy

Design and optimize SaaS pricing: tier structure, value metrics, pages.

$skillfish add ~skills/pricing-strategy

Capabilities Real Examples Get Started Models & Context

What This Skill Can Do

Concrete capabilities you get when you install this skill.

Evaluate and redesign SaaS pricing models (per-seat, usage-based, value metric)

Run pricing experiments with statistical rigor and clear success criteria

Build pricing tiers and packaging that drive expansion revenue

Benchmark pricing against competitors and optimize for win rate vs margin

Design freemium and trial structures that optimize free-to-paid conversion

Prepare pricing strategy documentation for board and investor review

Real Conversations

See how the Pricing Strategy skill responds to actual requests. These are representative examples of what your AI agent will produce.

You

Our current pricing: Starter $29/mo, Pro $79/mo, Business $199/mo. 68% of customers are on Starter. MRR is $48K. We think we're underpriced but don't know where to make changes.

Agent

Pricing Tier Analysis

The signal: 68% on Starter is a classic "value leakage" problem. You're giving too much away at $29/mo — customers who should be on $79 or $199 have no reason to upgrade.

Diagnosis: Feature gating audit For each feature, ask: "Does this feature deliver enough value to justify $79 or $199/month?" If yes, it should be gated at that tier.

Recommended tier restructure:

Tier	Current	Recommended	Change
Starter	$29 — too feature-rich	$39 — remove team collaboration	+$10, reduce feature set
Pro	$79	$99 — add what Starter loses	+$20, becomes the obvious choice
Business	$199	$249 — add SSO, audit logs, priority support	+$50, genuine enterprise value

Features to move from Starter to Pro:

Team workspaces / multiple users
API access
Integrations beyond 2 core tools
Advanced reporting

Revenue impact model:

Current: 68% Starter × avg ~$48K MRR = ~$32.6K from Starter customers
If 25% of current Starter customers move to Pro ($99): +$3,400/mo MRR
If 10% move to Business ($249): +$2,400/mo MRR
Net impact: +$5,800/mo MRR (+12%) with zero new customer acquisition

Rollout: Grandfather existing customers for 6 months. Launch new pricing for new signups only. Measure upgrade rate among grandfathered accounts — it tells you how price-sensitive your base actually is.

You

We want to switch from seat-based to usage-based pricing. We're an email automation SaaS. Potential metrics: emails sent, contacts in database, number of sequences, active campaigns. Which do we pick?

Agent

Value Metric Selection: Email Automation SaaS

The right value metric must satisfy 3 tests:

Scales with customer value — as the customer gets more value, they pay more
Understandable — customer can predict their bill
Aligned, not punitive — using your product more shouldn't feel like a penalty

Evaluate each option:

Metric	Scales with value?	Predictable bill?	Risk
Emails sent	Yes — high senders get high value	Yes, if usage is consistent	Customers throttle sends to control cost — bad behavior
Contacts in DB	Partially — big lists ≠ big senders	Yes	Customers delete contacts to avoid payment — destroys your product value
Active sequences	No — 10 sequences to 10 people ≠ 10 sequences to 10K	Yes	Customers merge sequences to avoid limits
Active campaigns	Partially	Yes	Same as sequences

Recommendation: Emails sent, with a contacts-in-DB floor

Structure:

Base plan includes X contacts + Y emails/month
Overage: $X per 1,000 emails above plan
Contact tiers: 0–5K, 5–25K, 25–100K, 100K+

This is how Mailchimp, Klaviyo, and ActiveCampaign price — it's the industry-validated model for email tools.

Migration plan:

Analyze current customers: what's their avg emails sent and contacts?
Design tiers so 80% of customers land within ±10% of current spend (minimize churn from repricing)
Give 90-day notice + grandfather option to lock in current price for 1 year

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Best

Claude Opus 4 Claude Sonnet 4 GPT-4.1 Gemini 2.5 Pro Grok 3 Kimi K2

Good

Claude Haiku 4.5 GPT-4.1 mini Gemini 2.5 Flash Grok 3 mini

Larger models produce more detailed, production-ready outputs.

Context Window

This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.

8K Skill only

32K+ Skill + conversation

100K+ Skill + references + codebase

All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Ready to try Pricing Strategy?

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