Track your user journey through Acquisition, Activation, Retention, Referral, and Revenue to identify which stage constrains growth most.
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Pirate Metrics is a practical framework that slices the customer journey into five clear checkpoints: acquisition, activation, retention, referral and revenue. By measuring each stage separately you can see exactly where prospects leak out, then design focused experiments to plug the gaps.
By logging these numbers weekly you spot bottlenecks fast: perhaps activation lags in the SaaS trial, or retention dips in the fitness app. Fix one stage at a time, stack 10% lifts and results compound across the funnel.
Pirate Metrics matter because they reveal the difference between symptom and cause in growth problems. Revenue might be flat, tempting you to increase acquisition spending, but AARRR analysis might show that Retention is collapsing you're acquiring users fine but losing them before they pay, meaning more acquisition just pours water into a leaky bucket. The framework systematically prevents this waste by ensuring you identify and fix the actual constraint. For product-led growth businesses especially, AARRR provides the diagnostic structure: if Activation is weak (users sign up but never experience value), no amount of Acquisition improvement will help, and Retention is impossible when users never activate. The sequential nature also highlights that optimising later stages amplifies earlier efforts: improving Retention from 30% to 40% means every acquisition pound now generates 33% more lifetime value, instantly making all acquisition channels more profitable. The framework also surfaces natural optimisation priority: if you convert 50% at each stage, improving the earliest weak stage helps all subsequent stages benefit, whilst improving the final stage helps only that stage. Referral particularly deserves focus because it's the only stage that compounds successful referral mechanisms reduce acquisition costs toward zero whilst accelerating growth. Organisations implementing AARRR frameworks typically discover they've been optimising the wrong stage: acquisition teams might be hitting targets whilst activation is terrible, or retention might be excellent whilst acquisition receives all attention and investment. The framework also creates shared language across product, marketing, and growth functions, enabling evidence-based prioritisation discussions rather than political debates about which team's agenda matters most.
Get a grip on what's actually working and what needs course correction. Use data and experiments to make decisions instead of opinions. See how changes in one part of the system affect everything else. Random tactics don't compound, coordinated ones do.
Select tools across your growth stack using clear evaluation criteria. Avoid common pitfalls, ensure integrations work, and build a system that scales with your business.
Uncover specific pain points, validate assumptions, and reveal what actually drives buying decisions. Run research that produces actionable insights, not just interesting quotes.
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Run quarterly business reviews that assess current state, set ambitious but realistic goals, build actionable roadmaps, and define key results that keep everyone aligned.
Analyse monthly performance data across all four growth engines. Identify what is working, what is not, and make tactical adjustments using a structured decision framework.
Sean Ellis
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A practical framework for experiments and insights. Build loops, run tests and adopt a cadence that ships learning every week.
Gino Wickman
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A practical operating system for small teams. Install a cadence, set priorities and create accountability that sticks.
Eric Ries
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A disciplined approach to experiments. Define hypotheses, design MVPs and learn before you scale.
Alistair Croll
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Pick the One Metric that Matters for your stage. Build lean dashboards and use data to decide the next best move.
Focus on metrics that drive decisions and reveal bottlenecks. Avoid vanity metrics that look good but don't help you grow.
Track what matters for growth decisions. Map key conversions, name events with clear conventions, and document tracking specifications.
Diagnose and break through stagnation by identifying which business mechanisms have reached capacity and require new approaches.
Deploy fast, low-cost experiments to discover scalable acquisition and retention tactics, learning through iteration rather than big bets.
Measure which marketing activities drive desired outcomes to allocate budget toward channels that actually generate revenue instead of vanity metrics.
Systematically rank projects and opportunities using objective frameworks, ensuring scarce resources flow to highest-impact work.
Calculate your true growth trajectory by measuring the rate at which your business grows when gains build on previous gains over multiple periods.
Group customers by acquisition period to compare behaviour patterns and identify which acquisition channels and time periods produce the best long-term value.
Determine whether experiment results reflect real differences or random chance to avoid making expensive decisions based on noise instead of signal.
Track predictable yearly revenue from subscriptions to measure business scale and growth trajectory in B2B SaaS and recurring revenue models.
Achieve the state where your product solves a genuine, urgent problem for a defined market that's willing to pay and actively pulling your solution in.
Measure the month-over-month growth in qualified leads to predict future revenue and catch pipeline problems before they impact revenue three months later.
Define pipeline progression steps to standardise how reps advance opportunities and give managers visibility into where deals stall or convert unexpectedly.
Analyse profit per customer to determine if your business model works at scale before investing heavily in growth and customer acquisition.
Assign credit to marketing touchpoints that influence conversions to understand which channels work together and deserve budget in multi-touch journeys.
Document your repeatable processes in clear, step-by-step instructions that ensure consistency, enable delegation, and capture institutional knowledge.
Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.
Calculate how much pipeline you need relative to quota to ensure you generate enough opportunities to hit revenue targets despite normal conversion rates.
Assemble tools that manage pipeline, automate outreach, and track performance to help reps sell more efficiently and managers forecast accurately.
Distribute conversion credit across multiple touchpoints to recognise that customer journeys involve many interactions and channels working together.
Build self-reinforcing systems across demand generation, funnel conversion, sales pipeline, and customer value that create continuous momentum.
Assign full conversion credit to the final touchpoint before purchase to identify which channels close deals but miss earlier influences that started journeys.