Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Transform your go-to-market strategy using Wes Bush's PLG framework to make your product the primary driver of customer acquisition, activation, and retention Use when: **Launching a SaaS product** and deciding between free trial, freemium, or sales-led models; **Reducing customer acquisition costs** by letting the product do the selling; **Designing user onboarding** that drives users to value quickly; **Converting free users to paid** through product-qualified leads (PQLs); **Fighting churn...
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Transform your go-to-market strategy using Wes Bush's PLG framework to make your product the primary driver of customer acquisition, activation, and retention
| Aspect | Details |
|---|---|
| Source | Product-Led Growth: How to Build a Product That Sells Itself (2019) |
| Expert | Wes Bush - Founder of Product-Led Institute, PLG strategy authority |
| Core Principle | "Product-Led Growth is about helping your customers experience the ongoing value your product provides. A strong brand and social proof are no longer enough—you need to let people try before they buy." |
| Claude Does | You Decide |
|---|---|
| Structures content frameworks | Final messaging |
| Suggests persuasion techniques | Brand voice |
| Creates draft variations | Version selection |
| Identifies optimization opportunities | Publication timing |
| Analyzes competitor approaches | Strategic direction |
This skill helps you build a product-led go-to-market strategy where your product itself drives growth—not just your sales team or marketing campaigns.
You'll learn to:
The result: A product that acquires, activates, and retains customers—selling itself.
Help me decide between freemium and free trial for my SaaS product. Use Wes Bush's
MOAT framework. My product is [description], targeting [audience], in a [market type].
Design a user onboarding flow using the Bowling Alley Framework. My product's core
value is [value], and the "Aha moment" happens when users [action]. What product
bumpers and conversational bumpers should I implement?
My free-to-paid conversion rate is 3%. Use the UCD framework to diagnose why users
aren't upgrading. Here's my current pricing page and onboarding: [describe].
Define Product-Qualified Lead (PQL) criteria for my product. Users experience value
when they [action]. What behavioral signals indicate buying intent?
Our churn rate is [X%]. Apply Wes Bush's churn framework to identify whether it's
customer, revenue, or activity churn—and recommend prevention strategies.
┌─────────────────────────────────────────────────────────────┐
│ PRODUCT-LED GROWTH DEFINED │
├─────────────────────────────────────────────────────────────┤
│ │
│ A go-to-market strategy where the PRODUCT ITSELF is │
│ the primary driver of: │
│ │
│ → Customer ACQUISITION (users find and try product) │
│ → Customer ACTIVATION (users experience value) │
│ → Customer RETENTION (users keep coming back) │
│ → Customer EXPANSION (users upgrade and refer) │
│ │
│ "Let people try before they buy" │
│ │
└─────────────────────────────────────────────────────────────┘
Why PLG is Rising:
| Trend | Impact |
|---|---|
| Rising CAC | Sales-led models increasingly expensive |
| Self-education preference | Buyers want to try, not be sold to |
| Product experience importance | The product IS the buying process |
Use the MOAT framework to select the right model:
M - Market Strategy
| Strategy | Definition | PLG Implication |
|---|---|---|
| Dominant | Undercutting competition | Free tier can capture market share |
| Disruptive | New category, novel solution | May need education + trial |
| Differentiated | Unique position in existing market | Freemium shows differentiation |
O - Ocean Conditions
| Ocean | Characteristics | Recommendation |
|---|---|---|
| Red Ocean | Many competitors, established category | Freemium (let product win) |
| Blue Ocean | Few competitors, new category | Free trial (focused experience) |
A - Audience
| Approach | Description | PLG Fit |
|---|---|---|
| Top-down | Sell to decision-makers | Sales-assisted PLG |
| Bottom-up | End users adopt first | Pure self-serve PLG |
T - Time-to-Value
| Speed | User Experience | Recommendation |
|---|---|---|
| Immediate | Value in minutes | Freemium works well |
| Delayed | Value takes days/weeks | Free trial with guidance |
FREE TRIAL FREEMIUM
┌─────────────────────┐ ┌─────────────────────┐
│ "Try free for │ │ "Free forever, │
│ 14/30 days" │ │ upgrade for more" │
├─────────────────────┤ ├─────────────────────┤
│ ✓ Creates urgency │ │ ✓ No time pressure │
│ ✓ Full product │ │ ✓ Builds habit │
│ access │ │ ✓ Viral potential │
│ ✗ Must convert or │ │ ✗ Can attract │
│ lose user │ │ freeloaders │
│ ✗ Less viral │ │ ✗ Revenue delayed │
├─────────────────────┤ ├─────────────────────┤
│ Examples: │ │ Examples: │
│ Netflix, Dropbox │ │ Slack, Spotify, │
│ Business │ │ Canva, Notion │
└─────────────────────┘ └─────────────────────┘
"Freemium is like a Samurai sword: unless you're a master at using it, you can cut your arm off."
Hybrid Options:
U - Understand Your Value
Map the three outcome types:
| Outcome | Question | Example (Dropbox) |
|---|---|---|
| Functional | What job does it do? | "Store and access my files anywhere" |
| Emotional | How does it make them feel? | "Feel secure knowing files are backed up" |
| Social | How do they appear to others? | "Look organized and professional" |
Define Your Value Metric:
The value metric is the core unit of value your product delivers:
| Product | Value Metric |
|---|---|
| Dropbox | Storage used (GB) |
| Slack | Messages sent |
| Zoom | Meeting minutes |
| Mailchimp | Subscribers |
| Calendly | Meetings booked |
"If you're selling a pair of shoes, your value metric is 'per pair of shoes'—as customers buy more pairs, your business expands."
C - Communicate Your Value
Pricing page must pass the 5-second test:
Principles:
D - Deliver on Your Value
PERCEIVED VALUE VALUE GAP EXPERIENCED VALUE
(What marketing ←─────────────────→ (What product
promises) MINIMIZE! delivers)
"The path from perceived value to realized value
should be a straight line."
"People don't use software simply because they have tons of spare time and find clicking buttons enjoyable."
Element 1: The Straight Line
Map the shortest path from signup to value:
Element 2: Product Bumpers (In-App)
| Bumper | Purpose | When to Use |
|---|---|---|
| Welcome messages | Orient, set expectations | Immediately after signup |
| Progress bars | Show advancement | Multi-step onboarding |
| Checklists | Guide key actions | First 7 days |
| Product tours | Highlight features | First session |
| Tooltips | Contextual help | When feature discovered |
| Empty states | Prompt first action | Before first use |
Element 3: Conversational Bumpers (External)
| Email Type | Trigger | Purpose |
|---|---|---|
| Welcome | Signup | Confirm, set expectations |
| Usage tips | After first actions | Deepen engagement |
| Sales touch | High engagement | Offer upgrade help |
| Case study | Mid-trial | Build trust with proof |
| Expiry warning | Trial ending | Create urgency |
| Post-trial survey | Trial ended | Learn why they didn't convert |
PQLs replace Marketing Qualified Leads (MQLs) in PLG:
┌─────────────────────────────────────────────────────────────┐
│ MQL (Marketing Qualified) │ PQL (Product Qualified) │
├───────────────────────────────┼─────────────────────────────┤
│ Downloaded whitepaper │ Completed onboarding │
│ Attended webinar │ Used product 7+ days │
│ Filled out form │ Invited team members │
│ High email engagement │ Approaching plan limits │
│ MARKETING engagement │ PRODUCT engagement │
└───────────────────────────────┴─────────────────────────────┘
Define Your PQL Criteria:
"On average, a repeat customer will spend 67% more than a new customer."
Strategies to Increase ARPU:
| Strategy | How It Works |
|---|---|
| Value-based pricing | Price based on value delivered, not cost |
| Optimize tiers | Remove confusing options, simplify choice |
| Strategic price increases | Test higher prices when value justifies |
| Premium support tiers | Offer high-touch service at premium |
| In-product upgrade prompts | Surface upgrades when users hit limits |
| Annual billing incentives | Discount for commitment, improve retention |
"Churn is the silent killer of your company. If you don't tackle churn early, you'll be working extremely hard just to stand still."
Three Types of Churn:
| Type | Definition | Leading/Lagging |
|---|---|---|
| Activity churn | Users stop using product | LEADING indicator |
| Revenue churn | Revenue lost from downgrades | Lagging indicator |
| Customer churn | Customers who cancel | Lagging indicator |
Activity churn predicts customer churn. Track it!
Churn Prevention Strategies:
Situation: A startup building a project management tool for remote teams. Competing against Asana, Monday, Trello in a crowded market. Team of 5, limited sales resources.
MOAT Analysis:
| Factor | Assessment | Implication |
|---|---|---|
| Market | Differentiated (not dominant, not disruptive) | Need to show unique value |
| Ocean | Red (many established competitors) | Freemium to compete |
| Audience | Bottom-up (end users adopt first) | Pure self-serve PLG |
| Time-to-Value | Immediate (can create project in minutes) | Freemium viable |
Decision: Freemium model with generous free tier
Value Foundation (UCD):
Understand:
Communicate:
Deliver:
Bowling Alley Design:
Product Bumpers:
Conversational Bumpers:
PQL Criteria:
Results:
Situation: A B2B analytics platform with 10,000 free users but only 2% converting to paid. Time-to-value is longer (requires data integration). High churn in first 30 days.
Diagnosis using UCD:
Understand Gap:
Communicate Gap:
Deliver Gap:
Solutions Implemented:
1. Bowling Alley Redesign:
Before: Signup → Connect data → Wait → See dashboard (5 days)
After: Signup → See demo data immediately → Guided integration → First insight in 1 hour
Product Bumpers Added:
2. Conversational Bumper System:
| Signal | Trigger | Action |
|---|---|---|
| No data connected (Day 1) | Inactivity | Integration guide email |
| Stuck on integration | Error detected | Help article + support offer |
| First insight generated | Success | "What else can you learn?" email |
| Daily active 7+ days | Engagement | Sales touch with upgrade offer |
| Approaching data limit | Usage | In-app upgrade prompt |
3. Pricing Page Redesign:
Before: "Starter $29/mo, Pro $99/mo, Enterprise custom"
After:
Added: Customer logos, ROI calculator, value metric clarity (per data source)
4. PQL Definition:
| PQL Score | Criteria |
|---|---|
| 1 point | Completed integration |
| 2 points | Generated first insight |
| 3 points | Shared report with team member |
| 2 points | Logged in 5+ days |
| 2 points | Approaching data limit |
| PQL threshold | 6+ points |
Results after 90 days:
## PLG Model Decision: [Product Name]
### MOAT Assessment
**M - Market Strategy:**
□ Dominant (undercutting competition)
□ Disruptive (new category)
□ Differentiated (unique in existing category)
**O - Ocean Conditions:**
□ Red Ocean (many competitors)
□ Blue Ocean (few competitors)
**A - Audience:**
□ Top-down (decision-makers buy first)
□ Bottom-up (end users adopt first)
**T - Time-to-Value:**
□ Immediate (value in minutes)
□ Delayed (value in days/weeks)
### Recommended Model
Based on MOAT: _______________
### Model Design
- Free tier includes: _______________
- Upgrade triggers: _______________
- Time limit (if trial): _______________
## Value Foundation: [Product Name]
### U - Understand Your Value
**Outcomes:**
- Functional: What job does it do?
→
- Emotional: How does it make them feel?
→
- Social: How do they appear to others?
→
**Value Metric:**
The core unit of value is: _______________
(e.g., storage used, messages sent, projects managed)
### C - Communicate Your Value
**Pricing Page 5-Second Test:**
□ Can users identify the right plan in 5 seconds?
□ Is value proposition immediately clear?
□ Does pricing align with value metric?
**Social Proof Present:**
□ "Most popular" indicator
□ Customer logos
□ Testimonials/case studies
### D - Deliver Your Value
**Time to Value:**
- Current: User experiences value in ___ [time]
- Target: User experiences value in ___ [time]
**Value Gap Assessment:**
- What do we promise? _______________
- What do we deliver? _______________
- Gap to close: _______________
## Bowling Alley Design: [Product Name]
### The Straight Line
**User's Desired Outcome:**
**The "Aha Moment":**
(When do users first experience real value?)
**Minimum Steps to Value:**
1.
2.
3.
4.
**Friction to Remove:**
-
-
### Product Bumpers (In-App)
| Bumper | Content | Trigger |
|--------|---------|---------|
| Welcome message | | Signup |
| Progress bar | | Onboarding |
| Checklist | | First 7 days |
| Empty state | | Before first use |
| Tooltips | | Feature discovery |
### Conversational Bumpers (Email)
| Day | Email | Purpose |
|-----|-------|---------|
| 0 | | |
| 3 | | |
| 7 | | |
| 14 | | |
| Trial end | | |
## PQL Definition: [Product Name]
### Behavioral Signals
| Signal | Points | Rationale |
|--------|--------|-----------|
| | | |
| | | |
| | | |
| | | |
### PQL Threshold
Score of ___ or higher = Product Qualified Lead
### PQL Workflow
When user becomes PQL:
1. [ ] Notify sales/success team
2. [ ] Trigger in-app upgrade prompt
3. [ ] Send personalized email
4. [ ] Add to sales sequence
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
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Assess customer account health using product usage, support sentiment, payment status, and relationship signals
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Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
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Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
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Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
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