Maintain an unchanged version in experiments to isolate the impact of your changes and prove causation rather than correlation with external factors.
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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.
Don't just "try something". Write a hypothesis predicting what will happen and why. Design the experiment with proper controls so you actually learn whether your hypothesis was right.
Don't just declare winners and move on. Extract the pattern, document why it worked, update playbooks and templates, and build an experimentation culture where testing is continuous.
Define events that start automation workflows so the right message reaches people at the right moment based on their actual behaviour not arbitrary timing.
Calculate the total cost of winning a new customer to evaluate marketing efficiency and ensure sustainable unit economics across all channels.
Enable tools to exchange data programmatically so you can build custom integrations and automate processes that vendor-built integrations don't support.
Distribute conversion credit across multiple touchpoints to recognise that customer journeys involve many interactions and channels working together.
Maintain an unchanged version in experiments to isolate the impact of your changes and prove causation rather than correlation with external factors.
Choose one metric that best predicts long-term success to align your entire team on what matters and avoid conflicting priorities that dilute focus.
Connect triggers to actions across systems so repetitive tasks happen automatically and teams can focus on work that requires judgement instead of admin.
Track predictable monthly subscription revenue to monitor short-term growth trends and make faster decisions than waiting for annual revenue reports.
Send a series of scheduled emails that educate prospects over time to stay top-of-mind without overwhelming them with aggressive sales pitches.
Identify the fundamental factors that directly cause business expansion, concentrating resources on activities that generate measurable results.
Navigate competing priorities and secure buy-in by systematically understanding, influencing, and aligning internal decision-makers toward shared goals.
Identify what you do better or differently that competitors can't easily copy to defend margins and win customers consistently over time.
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.
Document your repeatable processes in clear, step-by-step instructions that ensure consistency, enable delegation, and capture institutional knowledge.
Determine whether experiment results reflect real differences or random chance to avoid making expensive decisions based on noise instead of signal.
Unify customer data from every touchpoint to create complete profiles that power personalised experiences across marketing, sales, and product.
Capture specific user actions in your product or website to understand behaviour patterns and measure whether changes improve outcomes or create friction.
Turn satisfied customers into active promoters who systematically bring qualified prospects into your pipeline at near-zero acquisition cost.
Interpret experiment results to understand the probability that observed differences occurred by chance rather than because your changes actually work.
Apply disciplined experimentation across the entire customer lifecycle, optimising every stage through rapid testing and data-driven iteration.