A/B testing

Compare two versions of a page, email, or feature to determine which performs better using statistical methods that isolate the impact of specific changes.

A/B testing

A/B testing

definition

Introduction

Why it matters

How to apply it

Keep learning

Growth orchestration

The cockpit that sits above your four growth engines. Individual teams can excel at their own metrics, but without orchestration they're musicians playing different songs. This is where everything comes together and where improvements in one engine amplify gains in another.

Explore playbooks

Growth team tools

Growth team tools

The wrong tools create friction. The right ones multiply your output without adding complexity. These are the tools I recommend for growth teams that move fast.

Compound growth

Compound growth

Small improvements multiply. A 10% gain across twelve metrics doesn't add up to 120% - it compounds to 3x growth. This is the mathematical engine behind systematic growth.

Growth strategy

Growth strategy

Four decisions that shape everything else. When growth feels harder than it should, the problem is usually here. Get these right and execution becomes much easier.

Growth rhythms

Growth rhythms

Without rhythm, effort becomes scattered and progress invisible. A consistent operating cadence keeps your team aligned and your growth system continuously improving.

Related books

Hacking growth

Sean Ellis

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Hacking growth

A practical framework for experiments and insights. Build loops, run tests and adopt a cadence that ships learning every week.

Lean Startup

Eric Ries

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Lean Startup

A disciplined approach to experiments. Define hypotheses, design MVPs and learn before you scale.

Lean Analytics

Alistair Croll

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Lean Analytics

Pick the One Metric that Matters for your stage. Build lean dashboards and use data to decide the next best move.

Related chapters

1

Building your backlog

Random testing wastes time and teaches you nothing. Learn how to collect experiment ideas systematically and prioritise them based on potential impact so you always know what to run next.

2

Creating strong hypotheses

Most experiments fail before they start because the hypothesis is vague or untestable. Learn how to write hypotheses that are specific enough to prove or disprove and tied to metrics that matter.

Wiki

Cohort analysis

Group customers by acquisition period to compare behaviour patterns and identify which acquisition channels and time periods produce the best long-term value.

Growth lever

Focus resources on high-impact business mechanisms where small improvements generate disproportionate results across the entire customer journey.

Email sequence

Automate multi-touch email campaigns that adapt based on recipient behaviour to nurture leads consistently without manual follow-up from reps or marketers.

Contact management

Organise customer and prospect information to track relationships, communication history, and next steps without losing context or duplicating effort.

Customer Acquisition Cost (CAC)

Calculate the total cost of winning a new customer to evaluate marketing efficiency and ensure sustainable unit economics across all channels.

Growth drivers

Identify the fundamental factors that directly cause business expansion, concentrating resources on activities that generate measurable results.

Minimum viable test

Design experiments that answer specific questions with minimum time and resources to maximise learning velocity without over-investing in unproven ideas.

Statistical significance

Determine whether experiment results reflect real differences or random chance to avoid making expensive decisions based on noise instead of signal.

Product-market fit

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.

Conversion tracking

Measure which marketing activities drive desired outcomes to allocate budget toward channels that actually generate revenue instead of vanity metrics.

Sales tech stack

Assemble tools that manage pipeline, automate outreach, and track performance to help reps sell more efficiently and managers forecast accurately.

API

Enable tools to exchange data programmatically so you can build custom integrations and automate processes that vendor-built integrations don't support.

Churn rate

Measure the percentage of customers who stop paying to identify retention problems and calculate the true cost of growth in subscription businesses.

Control group

Maintain an unchanged version in experiments to isolate the impact of your changes and prove causation rather than correlation with external factors.

Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.

Positioning statement

Define how you're different from alternatives in a way that matters to customers to guide all messaging and ensure consistent market perception.

Deep Work

Block extended time for cognitively demanding tasks requiring sustained focus, maximising valuable output whilst minimising shallow distractions.

Eisenhower Matrix

Prioritise tasks systematically by sorting them into urgent-important quadrants, focusing effort on high-impact activities.

Standard Operating Procedure (SOP)

Document your repeatable processes in clear, step-by-step instructions that ensure consistency, enable delegation, and capture institutional knowledge.

UTMs

Track campaign performance precisely by appending parameters to URLs that identify traffic sources, mediums, and campaigns in your analytics.