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Most marketing programmes allocate budget across channels based on convention, peer pressure, or what worked for someone else in a different market with a different product. Growth marketing treats every channel as a hypothesis — run a structured experiment, measure the result against the North Star metric, and make a data-based decision: scale it, kill it, or iterate. The businesses that compound growth year over year are the ones that have found and systematically scaled their two or three most efficient growth levers — not the ones that spread budget most evenly.
70%
Of marketing budget in most companies goes to channels that have never been properly tested
3×
Faster growth for companies running structured experiment programmes vs. those that don’t
2–3
Primary growth levers is all most successful businesses need — found through systematic testing
Growth marketing is a discipline, not a tactic. These four capabilities — applied in a continuous cycle — are what separates compounding growth from flat-line marketing spend.
A growth experiment is not a campaign — it is a structured hypothesis test with a defined question, a success metric, a minimum duration, and a decision rule agreed before it runs. We maintain a live experiment backlog of every channel, message, audience, and funnel change worth testing — each scored by ICE (Impact × Confidence × Ease) so the highest-value tests always run first. Every experiment has a clear owner, a deadline, and an outcome document. Nothing runs because it feels right. Everything runs because there is a reason to believe it will move the North Star.
Every channel — organic, paid, content, email, referral, partnerships, product-led, community — is a hypothesis about where your buyers spend attention and what makes them move. We run structured low-budget channel experiments to find signal before committing to scale: four weeks, a defined spend cap, one metric to watch. Channels that show signal get investment. Channels that don’t get retired immediately — budget is not locked in by sunk cost, it follows performance data. Channel winners compound; channel losses are learning, not failure.
Every growth programme has one North Star metric — the single number that best represents the value your business creates for customers and that, when it grows, everything else grows with it. All experiments are evaluated against their impact on the North Star, not on proxy metrics that look encouraging but don’t connect to revenue. Input metrics (traffic, followers, open rate) are tracked as diagnostics — signals that explain movements in the North Star — but they never replace it as the final arbiter of whether something is working.
Growth is not a project with an end date — it is a programme with a cadence. We run two to four experiments per month, ensuring there is always a next experiment ready the moment the current one concludes. Winners are immediately invested in and expanded. Losses are documented and retired. The learning from every experiment is retained in a permanent archive that informs future hypotheses — so the programme gets smarter over time, the backlog improves with each cycle, and the hit rate on experiments increases as understanding of your specific audience and channels deepens.
From North Star definition and experiment backlog design through to channel testing, growth loop implementation, metric tracking, and monthly programme review — the complete growth marketing engagement.
North Star metric definition for your specific business model — selecting the metric that best represents value created and connects most directly to revenue growth. Input metric architecture built beneath it: lead metrics that predict North Star movement and lag metrics that validate it. Documented, agreed, and embedded in every experiment brief and monthly report.
Full experiment backlog built from a systematic sweep of every channel, funnel stage, message, and audience hypothesis worth testing. Each experiment scored by ICE (Impact × Confidence × Ease) so the highest-value tests run first. Backlog maintained as a live document — updated weekly as new experiments are added and completed experiments retire.
Structured low-budget channel experiments — 4-week sprint, defined spend cap, one success metric — testing organic content, paid, email, referral, partnership, community, and product-led channels. Winners are scaled immediately. Losers are retired within the sprint. Budget follows performance data, not convention or committee preference.
Growth loop mapping — identifying and building the feedback loops in your product and marketing that make each new customer easier and cheaper to acquire than the last. Referral loop mechanics, content flywheel architecture, community-led growth triggers, and product-led acquisition hooks — systematically designed and instrumented for measurement.
End-to-end experiment execution — hypothesis documentation, variant build, tracking setup, monitoring, analysis at completion, and outcome documentation — across every funnel stage from awareness through to retention and expansion. Experiments are never called early and results are always documented in the permanent learnings archive.
Monthly growth review — North Star and input metric performance, experiments completed and outcomes, current backlog and next sprint priorities, budget reallocation recommendations based on channel performance, and a compounding growth curve showing cumulative impact of the programme from start date. The review produces a clear reinvestment decision for the next month.
From experiment management and channel execution through to analytics, attribution, and growth reporting — the complete growth marketing toolset.
Our growth marketing engagement methodology — from North Star definition and baseline audit through to experiment sprints, channel scaling, and monthly growth review. Click each stage to explore.
North Star metric, current baseline & channel map
Hypothesis generation, ICE prioritisation & sprint 1 brief
Low-budget channel tests, signal identification & fast retirement
Budget concentration, audience expansion & loop building
Backlog maintenance, new hypotheses & funnel experiments
North Star review, compounding curve & next month plan
Monthly growth review — North Star and input metric performance vs. prior period and target, completed experiment outcomes, compounding growth curve from programme start, budget performance by channel, and a recommended budget reallocation and experiment brief for the coming month. The programme compounds: winners grow, losers retire, the curve steepens.
The four principles behind every growth engagement — and why the programmes we run produce compounding growth rather than short bursts followed by flat lines.
Marketing dashboards with twenty KPIs produce twenty conversations and zero decisions. We define one North Star metric at the start of every engagement — the metric that, when it moves, tells you with certainty that the business is growing. Every experiment is evaluated against its impact on that number. Experiments that don't move it, however promising they look, are retired.
We don't recommend a channel because it's popular, proven for a competitor, or well-represented at a conference. We recommend running a small experiment to find out if it works for your specific product, audience, and market. The experiment result — not the pre-existing opinion — determines the budget allocation. This is slower in month one and significantly faster from month three onwards.
The most expensive growth mistake is keeping a losing channel alive because of sunk cost, team attachment, or the reluctance to admit the hypothesis was wrong. We have a defined retirement threshold for every experiment — if it doesn't show signal within the defined window, it is retired immediately and the budget is reallocated to the next experiment in the backlog.
A winning experiment doesn't end the programme — it ends the test and begins the scale. Budget released from retired experiments is reinvested immediately into channels that have shown signal. Over time, the programme concentrates on fewer, higher-performing channels with more budget — producing a compounding growth curve rather than the flat line of equal-allocation spread-and-hope.
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