Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Pricing Strategy · sickn33 | DecimalAI

sickn33/pricing-strategy

SkillScore77Maintained

Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.

marketingby sickn33

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Product Management pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/sickn33-pricing-strategy/SKILL.md

decimalai skills pull sickn33-pricing-strategy --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/sickn33-pricing-strategy/SKILL.md https://app.decimal.ai/s/sickn33-pricing-strategy/SKILL.md

Raw file: /s/sickn33-pricing-strategy/SKILL.md ↗ · machine-readable summary at /s/sickn33-pricing-strategy.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 49d ago

Yes — +9% lift · at higher cost+46% tokens0% turns77% of whole cases pass with skill (17/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-16	✗→✓	▲ Improved	-21%	0%
case-14	✗→✓	▲ Improved	70%	0%
case-04	✓→✓	＝ Same ✓	31%	0%
case-05	✓→✓	＝ Same ✓	63%	0%
case-06	✓→✓	＝ Same ✓	69%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

sickn33 / antigravity-awesome-skills

skills/pricing-strategy/SKILL.md

View on GitHub ↗

License MITImported 8/9/2026Version v1

Skill contents

SKILL.md

Pricing Strategy

You are an expert in pricing and monetization strategy. Your goal is to help design pricing that captures value, supports growth, and aligns with customer willingness to pay—without harming conversion, trust, or long-term retention.

This skill covers pricing research, value metrics, tier design, and pricing change strategy. It does not implement pricing pages or experiments directly.

1. Required Context (Ask If Missing)

1. Business Model

Product type (SaaS, marketplace, service, usage-based)
Current pricing (if any)
Target customer (SMB, mid-market, enterprise)
Go-to-market motion (self-serve, sales-led, hybrid)

2. Market & Competition

Primary value delivered
Key alternatives customers compare against
Competitor pricing models
Differentiation vs. alternatives

3. Current Performance (If Existing)

Conversion rate
ARPU / ARR
Churn and expansion
Qualitative pricing feedback

4. Objectives

Growth vs. revenue vs. profitability
Move upmarket or downmarket
Planned pricing changes (if any)

2. Pricing Fundamentals

The Three Pricing Decisions

Every pricing strategy must explicitly answer:

Packaging – What is included in each tier?
Value Metric – What customers pay for (users, usage, outcomes)?
Price Level – How much each tier costs

Failure in any one weakens the system.

3. Value-Based Pricing Framework

Pricing should be anchored to customer-perceived value, not internal cost.

Customer perceived value
───────────────────────────────
Your price
───────────────────────────────
Next best alternative
───────────────────────────────
Your cost to serve

Rules

Price above the next best alternative
Leave customer surplus (value they keep)
Cost is a floor, not a pricing basis

4. Pricing Research Methods

Van Westendorp (Price Sensitivity Meter)

Used to identify acceptable price ranges.

Questions

Too expensive
Too cheap
Expensive but acceptable
Cheap / good value

Key Outputs

PMC (too cheap threshold)
PME (too expensive threshold)
OPP (optimal price point)
IDP (indifference price point)

Use Case

Early pricing
Price increase validation
Segment comparison

Feature Value Research (MaxDiff / Conjoint)

Used to inform packaging, not price levels.

Insights Produced

Table-stakes features
Differentiators
Premium-only features
Low-value candidates to remove

Willingness-to-Pay Testing

| Method | Use Case | | ------------- | --------------------------- | | Direct WTP | Directional only | | Gabor-Granger | Demand curve | | Conjoint | Feature + price sensitivity |

5. Value Metrics

Definition

The value metric is what scales price with customer value.

Good Value Metrics

Align with value delivered
Scale with customer success
Easy to understand
Difficult to game

Common Patterns

| Metric | Best For | | ------------------ | -------------------- | | Per user | Collaboration tools | | Per usage | APIs, infrastructure | | Per record/contact | CRMs, email | | Flat fee | Simple products | | Revenue share | Marketplaces |

Validation Test

> As customers get more value, do they naturally pay more?

If not → metric is misaligned.

6. Tier Design

Number of Tiers

| Count | When to Use | | ----- | ------------------------------ | | 2 | Simple segmentation | | 3 | Default (Good / Better / Best) | | 4+ | Broad market, careful UX |

Good / Better / Best

Good

Entry point
Limited usage
Removes friction

Better (Anchor)

Where most customers should land
Full core value
Best value-per-dollar

Best

Power users / enterprise
Advanced controls, scale, support

Differentiation Levers

Usage limits
Advanced features
Support level
Security & compliance
Customization / integrations

7. Persona-Based Packaging

Step 1: Define Personas

Segment by:

Company size
Use case
Sophistication
Budget norms

Step 2: Map Value to Tiers

Ensure each persona clearly maps to one tier.

Step 3: Price to Segment WTP

Avoid “one price fits all” across fundamentally different buyers.

8. Freemium vs. Free Trial

Freemium Works When

Large market
Viral or network effects
Clear upgrade trigger
Low marginal cost

Free Trial Works When

Value requires setup
Higher price points
B2B evaluation cycles
Sticky post-activation usage

Hybrid Models

Reverse trials
Feature-limited free + premium trial

9. Price Increases

Signals It’s Time

Very high conversion
Low churn
Customers under-paying relative to value
Market price movement

Increase Strategies

New customers only
Delayed increase for existing
Value-tied increase
Full plan restructure

10. Pricing Page Alignment (Strategy Only)

This skill defines what pricing should be. Execution belongs to page-cro.

Strategic requirements:

Clear recommended tier
Transparent differentiation
Annual discount logic
Enterprise escape hatch

11. Price Testing (Safe Methods)

Preferred:

New-customer pricing
Sales-led experimentation
Geographic tests
Packaging tests

Avoid:

Blind A/B price tests on same page
Surprise customer discovery

12. Enterprise Pricing

When to Introduce

Deals > $10k ARR
Custom contracts
Security/compliance needs
Sales involvement required

Common Structures

Volume-discounted per seat
Platform fee + usage
Outcome-based pricing

13. Output Expectations

This skill produces:

Pricing Strategy Document

Target personas
Value metric selection
Tier structure
Price rationale
Research inputs
Risks & tradeoffs

Change Recommendation (If Applicable)

Who is affected
Expected impact
Rollout plan
Measurement plan

14. Validation Checklist

] Clear value metric
] Distinct tier personas
] Research-backed price range
] Conversion-safe entry tier
] Expansion path exists
] Enterprise handled explicitly

Related Skills

page-cro – Pricing page conversion

copywriting – Pricing copy

analytics-tracking – Measure impact

ab-test-setup – Safe experimentation

marketing-psychology – Behavioral pricing effects

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Illustrative Want to see what sickn33/pricing-strategy would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/10/2026, 13:33 UTC · 22 cases

Lift

+9%

77% vs 68%

Agent turns

0%

1.0 vs 1.0

Tokens

+46%

4,205.73 vs 2,886.91

fail → pass · 2pass → pass · 15fail → fail · 5

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We are planning to overhaul our B2B SaaS pricing model for our project management tool. Currently, we offer a flat $29/month per account model to SMBs, but we're seeing strong traction in mid-market and want to capture higher customer value while supporting multi-seat expansion. Our main competitors charge per user or per active project, and our current conversion rate sits at 4%, ARR is $1.2M, with 1.5% monthly churn. Our main objective is revenue growth and moving upmarket. Please develop a comprehensive pricing strategy proposal that defines target buyer personas, recommends an optimal value metric, details a tiered package breakdown, provides pricing research recommendations, and lists key tradeoffs and risks.	fail→fail	24,881	25,077	+1%	1	1	0%	4,697	6,229	+33%	0	0	—
case-02 Our company provides an email verification and deliverability API targeting software engineers and growth teams. We are trying to decide whether to launch with a freemium model or a 14-day free trial. Currently, our product has very low marginal cost per API call, requires minimal setup time, but relies heavily on developer adoption to spread virally within engineering teams. Please analyze our business context and deliver a structured recommendation report evaluating freemium versus trial options, suggesting the best scaling metric for usage, and outlining a safe testing framework to validate developer willingness to pay.	fail→fail	25,677	19,861	-23%	1	1	0%	4,449	4,933	+11%	0	0	—
case-03 We own a customer relationship platform for mid-market sales teams generating $5M ARR with high conversion (8%), low churn (<0.8% monthly), and feedback showing customers feel they are getting immense value for what they pay. We suspect we are underpricing and want to raise rates. We sell primarily through a hybrid self-serve and sales-led motion. Can you prepare a detailed price change execution document? The document should detail how to handle existing versus new customers, recommend how to tie price hikes to added value, provide a strategy for enterprise custom deals, and outline a risk mitigation rollout plan.	fail→fail	30,703	28,392	-8%	1	1	0%	5,300	6,687	+26%	0	0	—
case-04 We build a developer infrastructure logging API. Target customers are mid-market engineering leads. GTM is self-serve product-led. Competitors charge per GB ingested ($0.10/GB). Our primary value is lightning-fast log querying and long-term retention. Current conversion rate is 3%, ARR $500k, 2% monthly churn. Feedback shows small teams love it, but high-volume users feel constrained by flat user-seat billing. Objective is revenue growth aligned with scale. Analyze the ideal value metric type for this API infrastructure product and explain why seat-based billing fails here.	pass→pass	18,379	13,815	-25%	1	1	0%	3,056	4,009	+31%	0	0	—
case-16 We have finalized our pricing strategy ($29/$79/$199 per month). Now we need the front-end code. Please write a responsive HTML and Tailwind CSS snippet that renders a 3-column pricing card layout with a 'Most Popular' badge on the middle tier.	fail→pass	18,149	9,834	-46%	1	1	0%	4,524	3,557	-21%	0	0	—
case-05 We operate a synchronous whiteboarding and design canvas tool for remote teams. Target customers are design managers in tech companies. GTM is hybrid self-serve and team-sales. Competitors charge $12-$15 per seat/month. Primary value is real-time team collaboration. Conversion rate is 5%, ARR $2M, 1% churn. Objective is expansion within existing accounts. Provide a recommended value metric and tiering rationale.	pass→pass	19,300	20,650	+7%	1	1	0%	3,133	5,104	+63%	0	0	—
case-06 We surveyed 500 target buyers for our devops SaaS platform using the Van Westendorp Price Sensitivity Meter methodology. We need an analysis interpreting the standard four price points generated by this research method. Explain what PMC, PME, and OPP represent in determining our price corridor.	pass→pass	14,958	16,746	+12%	1	1	0%	2,651	4,480	+69%	0	0	—
case-07 We are redesigning our SaaS plan tiers (Good/Better/Best). We ran a MaxDiff feature preference study across 1,000 customers. We want to know whether MaxDiff survey results should be used to set our dollar price points ($29 vs $49) or to decide feature allocation across tiers. Clarify the proper application of MaxDiff research in pricing strategy.	pass→pass	13,111	10,878	-17%	1	1	0%	2,351	3,673	+56%	0	0	—
case-08 We sell an enterprise data pipeline transformation tool. Target is enterprise data engineers ($25k+ ACV); GTM is sales-led; value requires 2 weeks of complex ETL pipeline configuration and data warehouse connection; marginal cost per trial customer is $150 in cloud computing. Objectives: maximize conversion of high-intent enterprise buyers. Recommend whether we should offer a permanent Freemium plan or a time-bound Free Trial.	pass→pass	15,112	12,281	-19%	1	1	0%	2,673	3,851	+44%	0	0	—
case-09 We offer a developer utility for code snippet sharing. Target is individual devs; GTM is self-serve viral; marginal server cost per user is near $0; no setup required (works in browser instantly); clear upgrade trigger is team privacy controls. Objective: rapid user acquisition and viral adoption. Recommend Freemium versus Free Trial.	pass→pass	12,274	12,915	+5%	1	1	0%	2,009	3,639	+81%	0	0	—
case-10 Our growth team wants to test raising our self-serve SaaS plan from $49/mo to $79/mo. They proposed setting up a split-traffic A/B test on our public pricing page using Optimizely, randomly showing 50% of web visitors $49 and 50% $79 simultaneously. Evaluate whether this live split-page price test is a recommended strategy and suggest a safer alternative.	pass→pass	14,875	14,705	-1%	1	1	0%	2,553	4,117	+61%	0	0	—
case-11 Our mid-market analytics product ($10M ARR, 9% self-serve conversion, 0.5% churn, net revenue retention 125%, competitors charge $500/mo while we charge $200/mo) has not raised prices in 3 years while product value quadrupled. We are planning a 30% price increase. We sell via self-serve. We need a strategy for applying this change across our customer base without causing mass churn among existing loyal users. Provide a clear recommendation on how to handle existing subscribers versus new prospects.	pass→pass	15,875	21,004	+32%	1	1	0%	2,886	5,330	+85%	0	0	—
case-12 Our B2B platform currently offers Self-Serve Starter ($49/mo) and Pro ($199/mo). Primary value is workflow automation. We are now closing deals worth $15,000 to $30,000 ARR that require custom SSO/SAML integration, dedicated SLA guarantees, SOC2 compliance reports, and redlined MSA contracts negotiated with procurement teams. Advise whether these deals belong in our public self-serve tiers or a dedicated Enterprise motion, and outline the key structural components of that plan.	pass→pass	15,444	18,951	+23%	1	1	0%	2,710	4,665	+72%	0	0	—
case-13 Our CFO suggests setting our B2B SaaS price by calculating hosting and support cost per customer ($12/mo) and adding a 300% markup to set the price at $48/mo. Evaluate this cost-plus approach against value-based pricing principles where customer willingness to pay is $200/mo and competitors charge $150/mo.	pass→pass	14,763	12,623	-14%	1	1	0%	2,677	3,922	+47%	0	0	—
case-14 We are structuring a 3-tier Good / Better / Best model for an email marketing tool (Starter, Pro, Enterprise). Explain which tier should act as the primary target/anchor where most mid-market customers should land, and what value proposition it must deliver relative to dollar cost.	fail→pass	12,539	12,081	-4%	1	1	0%	2,187	3,727	+70%	0	0	—
case-15 We are trying to decide between Gabor-Granger, Direct WTP surveys, and Conjoint Analysis for evaluating pricing for a new product module. Provide a comparative guide specifying the specific use case and primary output of the Gabor-Granger method versus Direct WTP.	pass→pass	15,153	15,525	+2%	1	1	0%	2,734	4,363	+60%	0	0	—
case-17 We want to configure an A/B test in Optimizely to experiment with our call-to-action button text on the pricing page. Please write the custom JavaScript snippet to inject into Optimizely's variation code editor.	fail→fail	10,964	6,612	-40%	1	1	0%	1,987	2,695	+36%	0	0	—
case-18 Please write 10 catchy headline variations, subheadings, and persuasive call-to-action button copy strings for our new security SaaS tier launch.	fail→fail	10,908	12,810	+17%	1	1	0%	1,978	3,777	+91%	0	0	—
case-19 We operate a marketing automation and CRM platform. Target customers are mid-market e-commerce brands ($1M-$10M revenue). GTM is self-serve + inside sales. Competitors charge based on contacts/records or monthly sent emails. Primary value is customer retention marketing. Current ARR is $4M, conversion 4%, churn 1.2%. Objective is to align pricing with database growth. Recommend the most effective value metric.	pass→pass	12,975	14,647	+13%	1	1	0%	2,240	4,133	+85%	0	0	—
case-20 When building or auditing a complete pricing model for a B2B SaaS platform, what are the three distinct pricing decisions that must be explicitly answered, and what does each decision cover?	pass→pass	10,648	4,314	-59%	1	1	0%	1,847	2,430	+32%	0	0	—
case-21 We want to evaluate a hybrid freemium/free-trial model known as a 'reverse trial' for a product management tool. Describe how a reverse trial operates during initial user onboarding and what happens when the trial period ends.	pass→pass	15,565	11,039	-29%	1	1	0%	2,529	3,419	+35%	0	0	—
case-22 Our B2B SaaS product has seen conversion rates double from 4% to 8% over six months, customer churn drop below 0.5%, and qualitative sales calls frequently indicate buyers find our product 'an unbelievable bargain.' Analyze whether these metrics signal a price increase opportunity and explain the underlying rationale.	pass→pass	14,238	13,165	-8%	1	1	0%	2,341	3,786	+62%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 68.2%
Pass rate with the skill: 77.3%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 0
Skill version measured: v1
Run completed: 8/10/2026, 13:33 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-16

Prompt

We have finalized our pricing strategy ($29/$79/$199 per month). Now we need the front-end code. Please write a responsive HTML and Tailwind CSS snippet that renders a 3-column pricing card layout with a 'Most Popular' badge on the middle tier.

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run77

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+59% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 49 days ago

Other measured skills in the registry, with their headline benchmark lift.