Most founders can recite their signup count and their MRR. Very few can tell you, in one breath, where users leak out between the first ad impression and the tenth invoice. The AAARRR framework — often called pirate metrics because of the acronym — exists to fix exactly that.

Coined by Dave McClure as a way to force startups to look at their entire customer journey instead of vanity metrics, AAARRR splits growth into six sequential stages: Awareness, Acquisition, Activation, Retention, Referral, Revenue. Each stage has its own questions, its own metrics, and its own failure modes. This guide walks through all six, with illustrative numbers so you can sanity-check your own funnel.

Why a framework at all?

Without a shared model, growth conversations degenerate into anecdotes. Marketing celebrates traffic, product celebrates feature launches, sales celebrates deals — and nobody notices that 70% of signups never reach the core action. A framework gives you:

A common language. "Our activation rate dropped" means the same thing to everyone.
A diagnostic order. You fix leaks from the bottom up (retention before acquisition), because pouring more users into a leaky bucket just burns cash faster.
Prioritization. The stage with the worst relative performance is usually where your next 10x improvement hides.

Stage 1 — Awareness: do the right people know you exist?

Awareness is everything that happens before someone lands on a property you control. It covers organic search impressions, social reach, podcast mentions, community presence, and word of mouth.

Key metrics:

Branded search volume (people typing your name into Google)
Impressions and reach per channel
Share of voice versus competitors in your category

The most common awareness mistake is optimizing for volume instead of fit. A viral post that brings 50,000 students to a product priced for VPs of Engineering is a distraction, not a win. Track awareness within your ICP, not in general.

Illustrative example: a B2B tool seeing 40,000 monthly impressions with a 2% click-through rate gets 800 visits. Doubling CTR through better positioning (to 4%) is usually cheaper than doubling impressions through more spend.

Stage 2 — Acquisition: do they show up and raise their hand?

Acquisition starts when a person hits your site and ends when they give you a durable identifier — usually an email via signup, sometimes a trial start or a demo request.

Key metrics:

Visit-to-signup conversion rate (typical illustrative range for SaaS landing pages: 2–8%)
Cost per acquisition by channel
Signup quality: what share of signups match your ICP?

Segment ruthlessly by channel. A blended 4% conversion rate can hide a 12% rate from organic search and a 0.8% rate from paid social. Channel-level truth is what lets you reallocate budget intelligently.

Stage 3 — Activation: do they experience the value?

Activation is the stage founders most often under-instrument, and it is usually where the biggest leak lives. Activation means the user reached the moment where your product's promise became real for them — connecting their data source, sending their first message, publishing their first page.

Key metrics:

Signup-to-activated rate (illustrative range: 20–50% for self-serve SaaS)
Time to value: how long between signup and the first meaningful outcome
Setup completion rate for each onboarding step

Define activation as a behavior, not a page view. "Visited the dashboard" is not activation. "Connected a data source and viewed a populated report" is.

Stage 4 — Retention: do they come back?

Retention is the stage that decides whether you have a business. Everything upstream is rented; retention is owned.

Key metrics:

Cohort retention curves (what % of a signup cohort is still active at week 1, 4, 12)
Logo churn and revenue churn (monthly gross churn illustratively between 2% and 6% for SMB SaaS; below 1% for enterprise)
Net revenue retention, which folds expansion into the picture

The single most useful retention artifact is the flattening cohort curve. If your week-12 retention plateaus at 25%, you have a durable core; if the curve slides toward zero, no acquisition spend will save you.

Stage 5 — Referral: do they bring others?

Referral covers everything from formal referral programs to invitations that are native to the product (shared documents, scheduled meetings, published pages).

Key metrics:

Percentage of new signups attributable to existing users
Invitations sent per active user, and invitation acceptance rate
K-factor: invites per user multiplied by conversion rate of those invites

Even a modest referral motion compounds. If 15% of your new users arrive through referrals, your paid channels effectively get a 15% discount forever.

Stage 6 — Revenue: do they pay, and do they pay more over time?

Revenue metrics close the loop and connect growth to the P&L.

Key metrics:

Free-to-paid conversion rate (illustrative: 2–5% for freemium, 10–25% for opt-in free trials)
Average revenue per account, and expansion revenue share
LTV:CAC ratio — a common rule of thumb is to aim for 3:1 or better, with CAC paid back within 12 months

How to actually use AAARRR week to week

Instrument one metric per stage first. Six numbers on one screen beat sixty numbers in six tools.
Find the worst stage relative to a reasonable benchmark. That is your bottleneck.
Run one focused experiment per bottleneck per cycle. Small teams that ship one good experiment a week outlearn teams that debate ten.
Review the whole funnel weekly. Bottlenecks move. Last quarter's activation problem becomes this quarter's retention problem.

A worked illustration: a startup with 10,000 monthly visitors, a 4% signup rate, a 30% activation rate, 60% month-1 retention and a 6% free-to-paid rate ends up with roughly 4–5 new paying customers per month. Doubling any single stage doubles output — but doubling activation (from 30% to 60%) is typically far cheaper than doubling traffic.

AAARRR or RARRA? The order-of-operations debate

A popular remix of the framework, RARRA, reorders the stages to put Retention first — the argument being that acquisition-first thinking encourages startups to scale broken products. The reordering is a useful provocation, but treat it as a reading order, not a different framework. In practice:

Pre product-market fit: read the letters as RARRA. Retention and activation are the truth-tellers; acquisition should run at the minimum volume needed to feed learning (a steady trickle of a few hundred signups per month is plenty to measure cohort curves).
Post product-market fit: the classic AAARRR order maps to the actual customer journey and to how you will staff the work.

Either way, the discipline is identical: measure every stage, fix the worst one first, and never celebrate a top-of-funnel number while a bottom-of-funnel number decays.

Instrumenting the six stages without a data team

You do not need a warehouse and three analysts to run pirate metrics. The minimum viable stack: web analytics (GA4 or equivalent) for awareness and acquisition, product events for activation and retention, referral attribution via tagged links and invite tokens, and billing data (Stripe or equivalent) for revenue. The hard part is not collection — it is joining these sources so one screen shows the whole journey per cohort. Resist the temptation to hand-assemble this in a spreadsheet monthly; by the third month, the spreadsheet is stale and everyone has stopped trusting it.

Common failure modes

Vanity stage-picking: reporting awareness numbers to investors while retention quietly decays.
Averages over cohorts: blended metrics hide whether things are getting better or worse for new users.
No stage owner: if nobody owns activation, nobody improves activation.
Framework worship: AAARRR is a lens, not a strategy. It tells you where the leak is, not how to fix it.

The founders who get the most out of pirate metrics treat them as a living dashboard, not a quarterly slide. Seeing all six stages in one place — updated from real product and billing data rather than a spreadsheet assembled by hand — is what turns the framework from theory into a weekly operating habit. That is precisely the job Growth Pilot's AAARRR cockpit was built for: your funnel, live from GA4 and Stripe, on a single screen.