Organise the tools that capture leads, nurture prospects, and measure performance to automate repetitive work and connect customer data across systems.
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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.
Calculate how many users you need in experiments to detect meaningful differences and avoid declaring winners prematurely based on insufficient data.
Build distribution through your personal brand and network where your expertise and story attract customers who trust you before your company.
Choose one metric that best predicts long-term success to align your entire team on what matters and avoid conflicting priorities that dilute focus.
Identify the fundamental factors that directly cause business expansion, concentrating resources on activities that generate measurable results.
Capture specific user actions in your product or website to understand behaviour patterns and measure whether changes improve outcomes or create friction.
Unify customer data from every touchpoint to create complete profiles that power personalised experiences across marketing, sales, and product.
Attract prospects through valuable content that solves real problems, building trust and generating qualified leads who approach you.
Win customers through direct sales conversations where reps guide prospects from discovery to close with personalised solutions and relationship building.
Store raw data from all business systems in one place to run analyses and build reports that combine information across marketing, sales, and product.
Distribute conversion credit across multiple touchpoints to recognise that customer journeys involve many interactions and channels working together.
Track predictable yearly revenue from subscriptions to measure business scale and growth trajectory in B2B SaaS and recurring revenue models.
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 campaign performance precisely by appending parameters to URLs that identify traffic sources, mediums, and campaigns in your analytics.
Define events that start automation workflows so the right message reaches people at the right moment based on their actual behaviour not arbitrary timing.
Prioritise tasks systematically by sorting them into urgent-important quadrants, focusing effort on high-impact activities.
Analyse profit per customer to determine if your business model works at scale before investing heavily in growth and customer acquisition.
Apply disciplined experimentation across the entire customer lifecycle, optimising every stage through rapid testing and data-driven iteration.
Credit the channel that introduced prospects to your brand to measure awareness efforts and understand which top-of-funnel activities start customer journeys.
Systematically rank projects and opportunities using objective frameworks, ensuring scarce resources flow to highest-impact work.