AARRR Pirate Metrics: The Simplest Way To Spot Growth Leaks

You are staring at a Stripe dashboard, a messy Airtable, and a half-configured analytics tool, wondering a simple thing: Where is growth leaking, and what should I fix first?

What you want is straightforward:

• Figure out where growth leaks are
• Decide what to work on first
• Stop guessing based on vibes

AARRR pirate metrics give you a simple way to do that, even at a tiny scale.

This guide is for early-stage founders who want a concrete, startup-sized way to use AARRR pirate metrics to decide what to build and measure next.

What are AARRR pirate metrics?

AARRR pirate metrics are a startup growth framework coined by angel investor Dave McClure in 2007. They break your customer journey into five stages — Acquisition, Activation, Retention, Referral and Revenue — so you can track what matters, fix leaks in your funnel, and stop optimizing vanity metrics, like pageviews or social followers.

Dave McClure, the founder of 500 Startups, introduced AARRR in his “Startup Metrics for Pirates” talk to pull founders away from vanity metrics and toward five concrete behavior stages that map to real growth. The name “pirate metrics” comes from the AARRR sound and stuck as a shorthand for this simple funnel.

I treat that original idea as a small team control panel for very early products with fewer than 100 customers.

I ran a survey in November 2025 with 309 founders in the Launching Next community. Here is what they told me:

• 89% are not actively using AARRR. Only 11% say they are.
• 63% either have not thought about an “aha moment” or only carry a rough version in their head.
• 41% say the biggest leak is “people sign up but do not reach an aha moment.”
• Only 13% track a full AARRR-style funnel.
• Only 12% have any structured referral program.
• 47% expect product-led growth.
• 56% still lean more on gut than data when deciding what to build next.

So most founders expect the product to do the heavy lifting, yet they are steering with intuition. You spend on acquisition, ship more landing pages, test more headlines, post more on social, while activation, retention and referral quietly leak in the background. You keep adding water to a leaky bucket.

A simple AARRR funnel gives you:

• A shared language for your tiny team
• A way to pick 1 or 2 focus metrics
• A backbone for product and marketing decisions

You do not need a full analytics stack to start. You need a clear definition of each stage and a short list of numbers you can pull once a month.

I founded Launching Next in 2013. Over and over, I met founders who had heard of “pirate metrics” but did not know how to turn that phrase into a weekly dashboard and an actual roadmap.

This article is the field guide I wish every pre product market fit founder had on day one.

What you will walk away with

By the time you reach the end, you will be able to:

• Map your AARRR funnel for your specific product
• Define 1 or 2 metrics per stage that you can actually track
• Use the Launching Next Pirate Metrics Worksheet to plan your next 90 days

This works for:

• SaaS tools
• Marketplaces
• Mobile or web apps

As long as you are early and under 100 paying customers, you can use this.

AARRR in plain English: the 2 minute definition

AARRR stands for Acquisition, Activation, Retention, Referral, Revenue.

It is a way to describe the full journey from “never heard of you” to “loyal paying customer who tells friends.”

• Acquisition: How people find you and show intent by signing up, starting a trial or booking a demo.
• Activation: When a new user experiences clear value for the first time, your “aha moment.”
• Retention: Whether users keep coming back after that first good experience.
• Referral: How often happy users bring in other users.
• Revenue: How you earn money from those users and whether the unit economics give you a real business.

One simple example funnel

Imagine a small SaaS tool for creating content briefs.

• Acquisition: Founders click a Google result, hit the landing page and start a free trial.
• Activation: They create and export their first content brief.
• Retention: They log in at least once a week to create new briefs.
• Referral: They invite teammates to collaborate or share a referral link with another founder.
• Revenue: They upgrade to a paid plan at the end of the trial and keep paying.

Keep this example in your head as we go. You can swap in your own product later.

How the AARRR pirate metrics framework works

In practice, the framework is a short loop.

1. Define each stage in plain language: Write one sentence for Acquisition, Activation, Retention, Referral and Revenue that fits your product.
2. Pick 1 or 2 metrics per stage: Use numbers you can actually pull from Stripe, your database or simple analytics.
3. Instrument lightweight tracking: Make sure you can count signups, activation events, returning users, referrals and paying customers.
4. Run focused experiments: Choose one stage as your focus, design 2 or 3 experiments and ship them.
5. Review and iterate monthly: Update the metrics, keep what works, drop what does not and move to the next leaky stage.

The power of AARRR comes from repeating this loop, one focus stage at a time.

Who AARRR pirate metrics are best for

From what I see at Launching Next, AARRR works best for:

• Startups and tiny teams with fewer than 100 paying customers
• Product-led growth style products where usage, activation and retention drive most of the growth
• Online products with trackable events, such as SaaS tools, marketplaces and mobile or web apps

If you can define an aha moment and log basic product events, you can use the AARRR framework.

TL;DR: The startup AARRR worksheet you can steal

To pull this together, I use a one page worksheet. You can recreate it in Google Sheets, Notion or a notebook.

Columns:

1. Stage (A, A, R, R, R)
2. Plain English question
3. Your definition for this product
4. 1–2 metrics to track
5. Current numbers (this month)
6. 90 day target
7. Top 1–2 experiments

Here is a mini example row to show the idea.

Filled in example row (content brief for a SaaS)

This is intentionally simple. You can print this and stick it on the wall.

Here is a quick way to use it in one focused session.

1. Fill in the definition column first. Do not touch numbers yet. Just write, in normal language, what each stage means for your product.
2. Add 1–2 metrics per row that you can realistically pull once a month from Stripe, your database or your basic analytics.
3. Highlight one stage that feels most leaky. Use your gut plus whatever scraps of data you have.
4. Write 2–3 concrete experiments for that stage only. Features to test, flows to adjust, campaigns to try.

Your goal is a one page living document, not a complex dashboard.

In the survey, most founders had rough ideas about their funnel but nothing written down. Everything lived in their heads.

The worksheet turns that vague knowledge into a shared, written funnel. That shift alone changes how you talk about growth with cofounders, contractors and advisors.

AARRR for operators: how to define each stage for your startup

Now let us go stage by stage with both beginner and operator lenses.

Acquisition metrics: “How do people show up and raise their hand?”

Key AARRR metrics at this stage:

• New signups or trials per month – core “top of funnel” count.
• Signup conversion rate – % of visitors who start a trial / create account.
• Customer Acquisition Cost (CAC) – total acquisition spend / number of new customers.

Pick a primary acquisition event:

• SaaS: “Started free trial” or “Booked a demo”
• App: “Installed app and completed onboarding”
• Marketplace: “Created buyer account” or “Created seller listing”

For a tiny team, a single consistent top of funnel number helps more than a perfect breakdown of every channel.

Once that is clear, layer in:

• Signups or trials by main channel (SEO, Launching Next listing, founder network, paid ads)
• Cost per acquisition (CAC) wherever you actually spend money
• Channel quality, for example “% of signups that reach activation from each channel”

Many founders tell me they expect product led growth, then quietly hope that paid acquisition will rescue them later. The real unlock comes when you compare channel quality, not only volume.

Concrete example

Imagine two cohorts in your content brief SaaS:

• 20 signups per month from a Launching Next directory listing
• 20 signups per month from a small paid ads test

If 12 of the directory signups reach activation and only 4 of the paid signups do, you suddenly see that the directory is pure gold. Your next experiment might be:

• Improve your listing copy
• Add a better incentive for trial signups
• Submit to similar directories

All from one simple comparison.

Activation metrics: “What is your aha moment and how fast do users reach it?”

Key AARRR metrics at this stage:

• Activation rate – % of signups that hit your aha moment.
• Time to activation – how long it takes new users to reach that moment.
• Free-to-paid conversion rate – where relevant.

41% of founders in my survey said their biggest leak is “people sign up but do not reach an aha moment.”

63% either have no clear definition or carry it only as a fuzzy idea.

Use this sentence:

“A new user is activated when they ___ within ___ time.”

Examples:

• Collaborative whiteboard tool: “Creates a board and invites at least one collaborator in their first session.”
• Time tracking app: “Logs time for at least one real client project in the first day.”

Keep it that concrete.

Tie activation directly to retention.

• Compare 30 day retention for users who reach the activation event versus those who stop before it.
• Track:
  • Activation rate: % of signups that hit your aha moment
  • Time to activation: minutes, hours or days
  • Drop off steps before activation, for example “created project but never added data”

Once you see which step loses people, you know where to design experiments.

Concrete examples

The classic story is Facebook discovering that users who added 7 friends in 10 days were much more likely to stick around. That insight shaped onboarding, prompts and product choices for years.

Take a fictional B2B SaaS, SprintTrack, a project planning tool.

They discover:

• Users who create 1 project and add 3 teammates in the first week are 3 times more likely to be active in month 2.

So they redesign:

• A default “First project” template
• A 3 step onboarding checklist that ends with “Invite 3 teammates”
• A triggered email on day 2 asking “Want help setting up your first project?”

That is activation work in practice.

Retention metrics: “Do people keep coming back after the first good experience?”

Key AARRR metrics at this stage:

• Retention rate – % of activated users who come back in your target window.
• Churn rate – % of paying customers who cancel in a period.
• Maybe DAU/WAU/MAU ratio if relevant.

In our survey:

• 24% of founders are very worried about retention
• 38% are somewhat worried

They feel leaks but lack a structure to diagnose them.

Decide what “returning” means for your product:

• Daily for a chat app
• Weekly for most collaboration and project tools
• Monthly for invoicing or reporting tools

Then start with one question:

“Of users who activated last month, how many used the product again this month?”

This single metric is already more useful than a raw MAU number with no context.

Later on you can add:

• Retention curves by cohort (users who signed up in January, February, and so on)
• Churn rate from trial to paid
• DAU, WAU, MAU ratios where they make sense

And you can experiment with:

• Lifecycle emails and in app nudges based on behavior
• Features that surface value regularly, such as dashboards and weekly reports
• Fixing patterns where churn is high, for example “teams that never invite others churn faster”

Concrete examples

An invoicing SaaS notices that users who get weekly reminders about overdue invoices log in more and send more invoices. They add a short Monday summary email that highlights unpaid invoices and quick actions. Retention rises because value shows up without effort.

A small marketplace sees that new hosts who receive education after their first sale are more likely to list more items and stay active. They create a short sequence:

1. “How to improve your listing”
2. “How pricing affects sales”
3. “How top hosts handle support”

Retention is now a set of clear behaviors, not a mysterious outcome.

Referral metrics: “How often do happy users bring friends?”

Key AARRR metrics at this stage:

• Invite rate – % of active users who send an invite / referral link.
• Invite-to-signup conversion – % of invitees who actually sign up.
• Optionally: Viral coefficient in simple language.

64% of founders report either:

• No referral mechanism at allor
• Only loose ideas with nothing implemented

Only 12% have a real referral program.

Start with simple, manual, low code loops:

• Add “Invite a teammate” or “Share with a friend” inside your product navigation.
• Give yourself one email script you can send to your network when someone has a great outcome.

Define what counts as a referral, for example:

“An existing user invites a new account via link or email and that account reaches activation.”

Then track:

• Invites sent
• Invite to signup conversion
• % of new signups that came from invites

Design incentives that fit your product:

• Credits
• Extra usage limits
• A simple perk or thank you for both sides

Referred users often retain longer and pay better, so a working referral loop strengthens several AARRR stages at once.

Concrete examples

Dropbox popularized the dual sided reward pattern by giving both the inviter and invitee extra storage.

In a fictional example, StandupBot for Slack:

• When a team completes its first full week of standups, the product shows a prompt:“Invite another team and both of you get one extra free team seat once they finish their first week.”
• Inside the referral dashboard, the founder tracks invitations sent and how many referred teams complete that first week.

That is a small, focused referral engine.

Revenue metrics: “Does this add up to a viable business?”

Key AARRR metrics at this stage:

• MRR/ARR
• Average revenue per user (ARPU)
• Customer Lifetime Value (LTV)
• LTV : CAC ratio (even just conceptually).

Start with the basics:

• MRR / ARR
• Number of paying customers
• Conversion rate from trial or demo to paid

Then ask:

“Given my acquisition and activation efforts, does this pricing and conversion rate give me a path to break even?”

Once you have that foundation, add:

• Customer Lifetime Value (LTV)
• CAC vs LTV
• Payback period by channel

Look for revenue expansion opportunities:

• Upgrades to higher tiers
• Add ons
• Usage based thresholds
• Annual plans with small discounts

And link it back to the rest of AARRR. Improving retention and referrals often lifts LTV faster and more cheaply than adding new channels.

Concrete examples

A small SaaS focuses for one quarter on activation. The percentage of trials that reach the aha moment rises. Trial to paid conversion doubles. MRR grows noticeably without any extra traffic.

Later, the founder adds an annual plan prompt for users who have stayed 6 months or longer. A chunk of customers prepay for a year, pulling in cash that funds the next set of experiments.

Choosing your focus: AARRR vs RARRA for your stage

Two mental models

You will hear two orders for these metrics:

• AARRR: Acquisition, Activation, Retention, Referral, RevenueHelpful when you have almost no users and simply need to see if anyone cares.
• RARRA: Retention, Activation, Referral, Revenue, AcquisitionHelpful when you already have signups and want to keep and deepen them before you widen the top of the funnel.

Both are useful lenses. The key is to pick one and decide what to focus on this quarter. Most Launching Next founders share a similar pattern:

• They struggle at activation.
• They worry about retention.
• They have no real referral engine yet.

For most early stage readers, I recommend a “RARRA mindset with AARRR metrics.”

In practice that looks like this:

• Use the classic AARRR definitions and worksheet.
• Look first at retention and activation with the traffic you already have.
• Only then push harder on acquisition.

A simple decision tree

Use this quick set of rules:

• If you have fewer than 50 signups totalGet some acquisition going, then move attention quickly to activation.
• If you have steady signups but little revenueFocus on activation and retention. Your funnel is leaking after the first touch.
• If you have happy paying users but few new signupsInvest in referral and higher intent acquisition.

You do not need to fix every stage at once. You need one clear focus stage for the next 4 to 8 weeks.

Implementing pirate metrics in a weekend: a step by step plan

You can turn pirate metrics into a working system in two days.

Day 1: Define your funnel in writing

Block 2 to 3 hours.

1. Fill out the worksheet definitions:
   • Write one sentence for each AARRR stage.
   • Keep it product specific and concrete.
2. Pick 1 or 2 metrics per stage that you can pull from:
   • Stripe
   • Your database
   • Simple analytics
3. Write down your best guess current numbers, even if they are rough or incomplete.

Perfection slows you down here. You want a first version on paper.

Day 2: Instrument and pick your focus metric

On day two:

1. Add basic tracking:
   • Make sure you can count signups.
   • Set up one activation event.
   • Set up one simple “came back” event for retention.
2. Choose one focus stage for the next 4 to 8 weeks based on where the funnel feels leaky and what you can realistically improve.
3. Turn that into a single question on your wall, for example:“How do we increase the percentage of signups that hit our aha moment within 24 hours?”

That question becomes the filter for features, marketing ideas and experiments.

Design 3 concrete experiments

Pick your focus stage and design three experiments you can run without a huge build.

Examples by stage:

• Acquisition
  • Launch a focused Launching Next listing with a clear trial call to action.
  • Pair it with a founder LinkedIn post telling a specific user story and linking to the trial.
• Activation
  • Add an in app checklist that walks new users to the activation event.
  • Ship a default template for the first project or first document.
  • Send a triggered email one hour after signup: “Here is how to complete your first X in 3 minutes.”
• Retention
  • Send a weekly usage summary or reminder email.
  • Surface unfinished work when users log in.
• Referral
  • Add “Invite a friend” after a key success moment.
  • Offer a perk for both inviter and invitee.
• Revenue
  • Show an annual plan prompt in app for users who have been active for 3 months.
  • Highlight one clear benefit of the paid plan related to a behavior they already show.

Write these experiments in the worksheet so they live next to your metrics.

Set a monthly review rhythm

Once a month, for 60 minutes:

1. Update the worksheet numbers.
2. Ask:
   • Did the focus metric move?
   • Which experiment seemed to help?
3. Decide if you will:
   • Keep focusing on the same stage next monthor
   • Move attention to the next stage down the funnel.

Keep this review as a recurring event, even if your “team” is just you and a coffee.

Examples: three mini AARRR funnels for common startup types

Sometimes it is easier to see your product once you see a few patterns.

SaaS tool with free trial (B2B)

Suggested definitions:

• Acquisition:“Started trial” by channel.
• Activation:“Completed onboarding checklist and used the core feature once.”
• Retention:“Logged in and used the core feature at least weekly in the first 8 weeks.”
• Referral:“Invited at least one teammate into the workspace.”
• Revenue:“Converted from trial to paid and expanded to additional seats over time.”

Mobile habit app

For a habit building mobile app:

• Acquisition:“App installed and account created.”
• Activation:“Completed the first full session.”
• Retention:“Completed at least 3 sessions in the first week.”
• Referral:“Shared a streak screenshot or invited a friend.”
• Revenue:“Started a paid subscription.”

Two sided marketplace (early stage)

For a marketplace you often want two mini funnels, one for supply and one for demand, inside a shared worksheet.

For sellers or hosts:

• Acquisition: Created a host account.
• Activation: Published the first listing.
• Retention: Logged in and managed listings or inventory in the first 60 days.
• Referral: Invited another host.
• Revenue: Completed first payout and listed additional items.

For buyers or guests:

• Acquisition: Created a buyer account.
• Activation: Completed the first purchase or booking.
• Retention: Returned to browse or buy again within 30 or 60 days.
• Referral: Shared a wishlist or invited a friend.
• Revenue: Reached a threshold of repeat purchases that make CAC profitable.

You can keep both on one worksheet by labeling rows as “Supply” and “Demand.”

Wrap up: Make pirate metrics your default way to talk about growth

AARRR is more than a clever acronym.

It gives you a simple, shared language for growth.

Each quarter, your job is to:

1. Pick one stage.
2. Define 1 or 2 metrics for that stage.
3. Design and run real experiments to improve those metrics.

Do that consistently and you stop guessing based on vibes. You start running a small, disciplined growth practice that fits a one to three person team.

If you take one action from this article, make it this:

Create your version of the Pirate Metrics Worksheet and fill it out this week.

Once it exists, every conversation about growth becomes clearer, faster and a lot less stressful.

FAQs about AARRR pirate metrics for startups

How should I start using AARRR in a tiny startup?

I start by writing one sentence for each stage of the funnel that fits the product today, then I pick one or two metrics I can actually pull from Stripe, my database or my simplest analytics tool and record them in a basic worksheet.

How do I choose the right activation moment for my product?

I look for the first action that reliably predicts that a user will come back, for example exporting a first report, inviting a teammate or completing a core workflow, then I write it as a simple rule such as “A user is activated when they do X within Y hours or days.”

What if my sample size is very small?

I still map the funnel, use rough counts or percentages, and treat the numbers as directional, then I lean on qualitative feedback and patterns in a handful of users to guide which experiments I run next while I slowly increase volume.

How often should I review my AARRR metrics?

I recommend a monthly review for very early teams, with a simple ritual where you update the worksheet, check the one focus metric you chose for the last 4 to 8 weeks and decide whether to keep pushing that stage or move down the funnel.

Which should I use first, AARRR or RARRA?

For most early stage products with some signups but leaky usage, I use AARRR to define the full funnel and to keep language consistent, then I apply a RARRA mindset by focusing first on retention and activation before I try to scale acquisition.

How can I track AARRR metrics without a full data stack?

I pull what I can from tools I probably already use, such as Stripe for revenue and conversion, product logs or simple event tracking for usage, and a spreadsheet or lightweight dashboard where I enter the key counts and percentages once a month.

How does AARRR help me decide what to build next?

I use the funnel to find the weakest stage, turn that into one focus question, then brainstorm a handful of experiments that could move that specific metric, which keeps my roadmap tied to a measurable outcome instead of scattered feature ideas.

Can I use AARRR for a marketplace or mobile app, not just B2B SaaS?

Yes, I define the funnel separately for each side of a marketplace or for key user types in an app, pick stage definitions and metrics that match their behavior, then keep a single shared worksheet so the team can see how the whole system works together.