Growth you can
measure and repeat.
The intersection of product and growth. We instrument your systems for measurable outcomes — analytics infrastructure, experimentation frameworks, and conversion architecture that turn usage data into compounding revenue.
Most growth problems are measurement problems
Teams argue about opinions because they don't trust their data. Analytics that contradict the billing system, funnels missing their middle steps, 'conversion rate' meaning three different numbers in three different dashboards. Under those conditions, growth is guesswork with charts.
We fix the foundation first: clean event tracking with a designed schema, identity resolution that follows users across devices, and a metrics layer where every number has one definition. When the data is trustworthy, arguments end and experiments begin.
Then we build the experimentation muscle — A/B infrastructure, feature flags, and funnel instrumentation — so your team can test its way to growth in small, validated steps. A 3% win compounding weekly beats a redesign gamble every time.
What we build
Analytics infrastructure
Event tracking architecture, identity resolution, and warehouse pipelines — a foundation where every metric traces to trustworthy data.
Experimentation platforms
A/B testing and feature-flag systems with sound statistics — so 'the test won' actually means something.
Conversion optimisation
Funnel instrumentation and systematic friction removal across signup, onboarding, checkout, and upgrade paths.
Retention & lifecycle systems
Cohort analysis, churn-signal detection, and automated lifecycle messaging triggered by what users actually do.
Growth dashboards
Metrics layers and reporting that give founders and teams one trusted view of acquisition, activation, retention, and revenue.
Technical SEO & performance
Core Web Vitals, structured data, and crawl architecture — engineering the organic channel most teams leave to chance.
A process built for proof, not promises.
Growth audit
We map your funnel, audit your tracking, and find where users leak — establishing honest baselines before anything changes.
Instrument
Clean event schemas, identity stitching, and a metrics layer — the single source of truth everything else depends on.
Experiment
Prioritised test backlog, shipped through A/B infrastructure, evaluated with statistical discipline. Wins ship; losses teach.
Systematise
Winning changes harden into the product, dashboards keep score, and your team inherits a repeatable growth process.
Levers we pull
Activation
Getting more signups to the moment they experience real value — the metric with the longest compounding tail.
Conversion
Checkout, trial-to-paid, and upgrade flows where instrumented friction removal translates directly into revenue.
Retention
Cohort-driven understanding of who stays, who leaves, and which early behaviours predict the difference — then engineering for them.
Organic acquisition
Technical SEO, site performance, and content architecture that grow the traffic channel you don't pay per click for.
The standard we hold ourselves to.
Engineers, not just marketers
Growth work that touches your codebase needs engineering discipline. We build systems, not hacks that rot in a quarter.
Statistics you can trust
Proper sample sizes, honest significance, no p-hacking. A false win is more expensive than no test at all.
Process over heroics
We leave you with infrastructure and a working experimentation cadence — a capability, not a dependency.
Common questions,
straight answers.
Something we haven't covered? Ask us directly — we reply with answers, not sales scripts.
Marketing agencies optimise campaigns outside your product; growth engineering optimises the product itself — instrumentation, funnels, experimentation, and retention systems built into your codebase. The two are complementary, but the highest-leverage fixes usually live in the product, not the ad account.
Yes — this is the most common starting point. We audit your tracking, design a clean event schema, resolve identity across devices, and establish one metrics layer with single definitions. Trustworthy data is the prerequisite for everything else in growth.
For classic A/B testing, roughly a thousand conversions per month per experiment gives reasonable velocity. Below that we shift methods — bigger swings, sequential testing, qualitative research, and cohort comparisons — so lower-traffic products still get evidence-driven improvement rather than guesswork.
Instrumentation lands in the first weeks and often pays back immediately by revealing where the funnel actually leaks. First experiment wins typically arrive within one to two months, and the compounding effect builds from there — that's the point of the system.
The technical half, yes — site performance, Core Web Vitals, structured data, crawlability, and internal linking architecture. It's engineering work most SEO agencies can't execute, and it pairs with content strategy from your team or a specialist.
Often paired with Growth Engineering.
Let's talk about
your project.
No commitment. No pitch deck. Just a real conversation.