Quick Answer (TL;DR)
Pirate Metrics --- also known as AARRR --- is a growth framework created by Dave McClure that breaks the customer lifecycle into five stages: Acquisition (how users find you), Activation (how users experience value for the first time), Retention (how users come back), Revenue (how users pay you), and Referral (how users tell others about you). For each stage, this guide covers the key metrics to track, industry benchmarks, optimization strategies, recommended tools, and real-world examples. The framework works because it forces you to identify your weakest stage and fix it before scaling.
What Are Pirate Metrics?
In 2007, Dave McClure --- 500 Startups founder and prolific angel investor --- presented a framework that would become one of the most widely used models in startup growth. He called it AARRR (pronounced like a pirate's "Arrr!"), which stands for:
The genius of AARRR is its simplicity. Instead of drowning in hundreds of metrics, you focus on the five stages that matter. Each stage has its own set of metrics, and your job as a product manager or growth leader is to identify which stage is your biggest bottleneck and fix it.
"Startups should focus on a handful of meaningful metrics, not a bunch of vanity metrics." --- Dave McClure
Why AARRR Works
The AARRR Funnel at a Glance
| Stage | Core Question | Primary Metric | Typical Owner |
|---|---|---|---|
| Acquisition | How do users find us? | Signups by channel | Marketing |
| Activation | Do they experience value? | Activation rate | Product + Growth |
| Retention | Do they come back? | Retention rate (D7, D30) | Product |
| Revenue | Do they pay? | Conversion rate, ARPU | Product + Sales |
| Referral | Do they tell others? | Referral rate, K-factor | Growth + Marketing |
Stage 1: Acquisition
Definition
Acquisition measures how effectively you attract new users to your product. This is the top of the funnel --- the moment a potential user becomes aware of your product and takes an initial action (visiting your site, downloading your app, signing up for a trial).
Key Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| Total signups | Count of new registrations per period | Varies by stage |
| Signups by channel | Signups attributed to each channel | Organic should be >40% for mature products |
| Cost per acquisition (CPA) | Total channel spend / Signups from that channel | SaaS: $50-$500 |
| Customer acquisition cost (CAC) | Total sales + marketing / New customers | SaaS SMB: $200-$600; Enterprise: $2K-$10K+ |
| CAC payback period | CAC / (Monthly ARPU x Gross margin) | <18 months |
| Signup rate | Signups / Unique visitors x 100 | 2-5% for SaaS landing pages |
| Channel concentration | Largest channel signups / Total signups | <50% from any single channel |
Benchmarks by Channel
| Channel | Typical CAC | Conversion Rate | Scalability |
|---|---|---|---|
| Organic search (SEO) | $0-$50 | 2-4% | High, but slow |
| Paid search (SEM) | $50-$300 | 3-6% | High, but expensive |
| Content marketing | $20-$100 | 1-3% | High, compounds over time |
| Social media (organic) | $0-$20 | 0.5-2% | Medium |
| Social media (paid) | $30-$200 | 1-3% | High |
| Referral programs | $10-$50 | 5-15% | Medium, depends on product |
| Partnerships | Varies | 2-5% | Medium |
| PR and press | Highly variable | 0.5-2% | Low, spiky |
Optimization Strategies
Real-World Example: Dropbox
Dropbox famously discovered that their CPA through Google Ads was $233-$388, while their product only cost $99/year. Paid acquisition was unsustainable. They pivoted to their now-legendary referral program, which reduced effective CAC to under $10 and drove 60% of all signups. The lesson: if your CAC does not work for your business model, find a different acquisition channel.
Recommended Tools
Stage 2: Activation
Definition
Activation measures whether new users experience the core value of your product --- the "aha moment." A user who signs up but never experiences value is not activated. Activation is the most underinvested and highest-leverage stage for most products.
Key Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| Activation rate | Users completing key action / Total signups x 100 | 20-40% for SaaS; 10-25% for mobile |
| Time to value (TTV) | Median time from signup to first key action | <5 minutes ideal |
| Onboarding completion rate | Users completing onboarding / Users starting it x 100 | 40-70% |
| Setup completion rate | Users with complete setup / Total new users x 100 | 50-70% |
| Aha moment conversion | Users reaching aha moment / Total new users x 100 | 25-50% |
| First session depth | Actions taken in first session | 5+ actions indicates strong activation |
| Day 1 return rate | Users returning on Day 1 / New users x 100 | 25-40% mobile; 40-60% SaaS |
How to Find Your Aha Moment
Your aha moment is the specific action or experience that separates users who retain from those who do not. To find it:
Famous aha moments:
| Company | Aha Moment | Evidence |
|---|---|---|
| Add 7 friends in 10 days | Users who did this retained at 2-3x the rate | |
| Follow 30 accounts | Reaching this threshold created a compelling feed | |
| Slack | Team sends 2,000 messages | Teams passing this threshold had 93% retention |
| Dropbox | Save one file in a shared folder | Experienced the core sync value |
| Zoom | Host or join one meeting | Experienced the ease-of-use value proposition |
Optimization Strategies
Real-World Example: Slack
Slack's activation insight was that once a team sent 2,000 messages, they almost never churned. So Slack designed every aspect of onboarding to get teams messaging as quickly as possible: pre-built channels, Slackbot welcome messages, simple invite flows, and integrations that pipe notifications into Slack channels. The result: 93% retention for teams that crossed the 2,000-message threshold.
Recommended Tools
Stage 3: Retention
Definition
Retention measures whether users continue to use your product over time. It is the most important stage in the AARRR framework because retention is the foundation of sustainable growth. Without retention, every dollar spent on acquisition leaks out through the bottom of the bucket.
Key Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| Day 1 retention | Users active on Day 1 / Cohort size x 100 | Mobile: 25-40%; SaaS: 40-60% |
| Day 7 retention | Users active on Day 7 / Cohort size x 100 | Mobile: 10-20%; SaaS: 30-50% |
| Day 30 retention | Users active on Day 30 / Cohort size x 100 | Mobile: 5-10%; SaaS: 20-35% |
| Monthly retention rate | Active users retained month-over-month | SaaS B2B: 90-97%; B2C: 70-85% |
| Churn rate | Customers lost / Starting customers x 100 | SaaS: <5% annual is excellent |
| Net revenue retention | (Starting MRR - Churn + Expansion) / Starting MRR x 100 | >100% means growing without new customers; best-in-class: 120-140% |
| DAU/MAU ratio | Daily active / Monthly active x 100 | 20%+ is strong; 50%+ is exceptional |
| Cohort retention curve | Retention plotted over time per cohort | Curve should flatten, not decline to zero |
The Three Types of Retention
1. User Retention --- Are individual users coming back?
Measured as the percentage of users from a cohort who are active in a subsequent period. The classic retention curve.
2. Revenue Retention --- Is your revenue base stable or growing?
Measured as net revenue retention (NRR). Includes the effects of churn, contraction, and expansion.
3. Engagement Retention --- Are returning users using the product as deeply as before?
Measured through session depth, feature usage, and core action frequency among retained users.
The Retention Curve
A healthy retention curve has three phases:
Optimization Strategies
Real-World Example: Netflix
Netflix's retention strategy centers on reducing the gap between sessions. Their recommendation algorithm ensures that when you finish a show, there is always something compelling to watch next. Autoplay, personalized thumbnails, and "Top 10" lists all exist to create the next viewing occasion. The result: Netflix achieves approximately 93% monthly retention, which is extraordinary for a consumer subscription product.
Recommended Tools
Stage 4: Revenue
Definition
Revenue measures how effectively your product converts value delivery into money. This stage is about monetization strategy, pricing optimization, and expansion revenue. Note that in the original AARRR framework, revenue comes after retention --- because monetizing users who do not retain is pointless.
Key Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| Monthly recurring revenue (MRR) | Sum of all subscription revenue per month | Depends on stage |
| Average revenue per user (ARPU) | Total revenue / Active users | SaaS B2B: $50-$500/mo |
| Lifetime value (LTV) | ARPU x Gross margin x (1 / Monthly churn rate) | Should be >3x CAC |
| LTV:CAC ratio | LTV / CAC | 3:1 to 5:1 is healthy |
| Conversion rate (free to paid) | Paid users / Free users x 100 | Freemium: 2-5%; Free trial: 15-25% |
| ARPU growth | (Current ARPU - Previous ARPU) / Previous ARPU x 100 | Positive growth indicates healthy pricing |
| Expansion revenue % | Expansion MRR / Total new MRR x 100 | >30% for best-in-class SaaS |
| SaaS quick ratio | (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR) | >4 is excellent |
Revenue Model Benchmarks
| Model | Avg Conversion | Avg ARPU | Key Success Metric |
|---|---|---|---|
| Freemium | 2-5% | Lower, high volume | Free-to-paid conversion rate |
| Free trial (opt-in) | 15-25% | Medium | Trial-to-paid conversion |
| Free trial (opt-out / CC required) | 50-60% | Medium-high | True retention after trial ends |
| Sales-led | 10-30% of qualified pipeline | High, enterprise | Pipeline conversion and ACV |
| Usage-based | Varies | Scales with usage | Dollar-based net retention |
| Marketplace | N/A (take rate) | Per transaction | GMV and take rate |
Optimization Strategies
Real-World Example: Slack
Slack's freemium model is a masterclass in revenue stage optimization. The free tier is genuinely useful --- teams can use it indefinitely. But as teams grow and need message history, integrations, and admin controls, the value of upgrading becomes obvious. Slack only charges for users who are actually active, which reduces the risk of purchasing and aligns price with value. This strategy contributed to Slack's reported 30%+ free-to-paid conversion rate among teams that exceeded the 2,000-message threshold.
Recommended Tools
Stage 5: Referral
Definition
Referral measures how effectively your existing users bring in new users through word of mouth, formal referral programs, or organic sharing. Referral is the most powerful and cost-effective acquisition channel because it leverages your existing user base, but it only works when the preceding stages (especially activation and retention) are healthy.
Key Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| Viral coefficient (K-factor) | Invites per user x Invite conversion rate | >1.0 = viral; 0.3-0.7 typical |
| Referral rate | Users who refer / Total active users x 100 | 2-5% |
| Referral conversion rate | Referred signups / Referral clicks x 100 | 10-25% |
| Net Promoter Score (NPS) | % Promoters - % Detractors | SaaS: 30-50 good; 50+ excellent |
| Invites per user | Total invites / Active users | 1-3 for active programs |
| Viral cycle time | Average time for one referral cycle to complete | Shorter = faster growth; days to weeks |
| Referral revenue contribution | Revenue from referred users / Total revenue x 100 | 10-30% |
| Referred user LTV premium | LTV of referred users / LTV of non-referred users | Typically 1.15-1.25x |
The Viral Loop
A viral loop is the process by which users organically bring in new users:
The speed of this loop (viral cycle time) matters as much as the conversion rate. A K-factor of 0.5 with a 3-day cycle compounds much faster than a K-factor of 0.8 with a 30-day cycle.
Types of Virality
| Type | Description | Example |
|---|---|---|
| Incentivized referral | Users rewarded for referring others | Dropbox: "Get 500MB free for each friend" |
| Word of mouth | Users recommend the product organically | Users telling colleagues about Notion |
| Inherent virality | Product use naturally involves others | Zoom: inviting others to meetings |
| Content virality | User-created content spreads organically | Canva: designed content shared with watermark |
| Network effects | Product becomes more valuable with more users | Slack: more team members = more value |
Optimization Strategies
Real-World Example: Dropbox
Dropbox's referral program is perhaps the most famous in tech history. By offering 500MB of free storage for each referred friend (up to 16GB), they:
The program worked because (1) the reward was aligned with product value, (2) both sides benefited, and (3) the product was already strong on activation and retention.
Recommended Tools
How to Apply AARRR: A Step-by-Step Implementation Guide
Step 1: Map Your Current Funnel
For each AARRR stage, identify:
Create a table like this:
| Stage | Primary Metric | Current Value | Benchmark | Gap |
|---|---|---|---|---|
| Acquisition | Monthly signups | 2,000 | Varies | - |
| Activation | Activation rate | 15% | 25-40% | -10% to -25% |
| Retention | D30 retention | 12% | 20-35% | -8% to -23% |
| Revenue | Free-to-paid | 3% | 2-5% | On target |
| Referral | K-factor | 0.1 | 0.3-0.7 | -0.2 to -0.6 |
Step 2: Identify the Bottleneck
The biggest gap is your priority. In the example above, activation is clearly the weakest stage. Fixing it would improve every downstream metric.
The cardinal rule of AARRR: Fix stages in order. Pouring more users (acquisition) into a broken activation funnel wastes money. Optimizing revenue without fixing retention is temporary.
Step 3: Diagnose Root Causes
For your bottleneck stage, dig deeper:
Step 4: Generate and Prioritize Hypotheses
List potential improvements using the ICE framework:
| Hypothesis | Impact (1-10) | Confidence (1-10) | Ease (1-10) | ICE Score |
|---|---|---|---|---|
| Simplify onboarding from 8 steps to 3 | 8 | 7 | 6 | 7.0 |
| Add interactive product tour | 7 | 6 | 5 | 6.0 |
| Send activation email at 24 hours | 6 | 7 | 8 | 7.0 |
Step 5: Experiment and Measure
Run controlled experiments for your top hypotheses. For each experiment:
Step 6: Iterate and Move to the Next Stage
Once your bottleneck stage is performing at or above benchmarks, move to the next weakest stage. Growth is a continuous cycle of measurement, diagnosis, experimentation, and improvement.
Common Mistakes with AARRR
Mistake 1: Optimizing Stages Out of Order
The most common mistake is investing heavily in acquisition while activation or retention is broken. Every user you acquire into a leaky funnel is wasted spend.
Mistake 2: Vanity Metrics at Each Stage
Tracking total signups (acquisition) without measuring activated signups. Tracking total revenue without understanding retention-adjusted LTV. Always use metrics that measure real value.
Mistake 3: Treating AARRR as Linear
While the funnel is sequential for each user, your optimization efforts should be holistic. A retention improvement can boost referral. An activation improvement affects revenue. Think systemically.
Mistake 4: Ignoring Referral
Many teams treat referral as a "nice to have." In reality, referral is the most capital-efficient growth lever. Companies with strong referral loops (Dropbox, Slack, Zoom) dominate their markets.
Mistake 5: Not Segmenting
AARRR metrics should be segmented by user persona, plan type, geography, and acquisition channel. Aggregate numbers hide crucial variation.
Mistake 6: Moving On Too Quickly
Improving activation from 15% to 20% is good, but stopping there leaves significant value on the table. Best-in-class activation rates are 30-40%. Push for excellence before moving on.
Tools and Resources
Comprehensive Analytics
Growth Experimentation
Further Reading
Final Thoughts
The AARRR framework endures because it is both simple and powerful. It gives you a shared language for growth, a systematic way to identify bottlenecks, and a clear prioritization methodology. The best teams do not try to optimize everything at once --- they ruthlessly focus on their weakest stage, drive measurable improvement, and then move on.
Whether you are a pre-revenue startup trying to find product-market fit or a scaling company optimizing unit economics, AARRR gives you the structure to grow systematically. Start by mapping your funnel, find the leak, and fix it. Then do it again.