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Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success
Sean Ellis, Morgan Brown · 2017
In a sentence
Hacking Growth lays out a cross-functional, data-driven, rapid-experimentation methodology that today's fastest-growing companies use to systematically acquire, activate, retain, and monetize customers.
Written by Sean Ellis, who coined the term 'growth hacking,' and expert practitioner Morgan Brown, Hacking Growth is the definitive, step-by-step playbook for driving breakout business growth. Drawing on case studies from Dropbox, Facebook, Airbnb, Uber, Pinterest, LinkedIn, and many others, the book argues that breakout growth is not the result of a single lucky 'lightning in a bottle' idea, but rather of a disciplined process of high-tempo, cross-functional experimentation. It shows how to build a growth team that unites marketing, engineering, product, and data analytics; how to determine whether your product is truly 'must-have' before pushing for growth; how to identify your key growth levers and North Star metric; and how to run rapid-fire experiments across the full customer funnel. With concrete playbooks for acquisition, activation, retention, and monetization, plus tools for prioritizing and tracking experiments, the book gives any team or company a rigorous, repeatable engine for sustainable growth.
The four lenses
- Science
- Statistics
- Systems
- Strategy
The model
A causal model in which design levers (cross-functional growth team, high-tempo experimentation, data instrumentation) act on psychological and behavioral states across the customer funnel (must-have product value, aha moment activation, habit formation) to drive outcome metrics (acquisition, activation, retention, monetization, and ultimately sustainable revenue growth). Friction and channel/language fit moderate conversion at each stage.
Cross-Functional Growth Teamdesign lever
A team or set of teams that breaks down traditional silos by combining staff with expertise in product management, engineering, marketing, data analytics, and design, led by a growth lead with executive sponsorship, to collaboratively drive growth.
High-Tempo Experimentationdesign lever
The disciplined, continuous cycle of analyzing data, generating ideas, prioritizing them (e.g., via ICE scoring), and running experiments at the fastest sustainable pace, managed through a weekly growth meeting, to learn faster and compound wins over time.
Data Instrumentation and Analyticsdesign lever
The capability to collect, pool, and analyze customer behavior data across the full funnel through event tracking, unified data stores, cohort analysis, and accessible dashboards, enabling discovery of insights and rigorous evaluation of experiments.
Must-Have Product Valuepsychological state
The degree to which a large group of customers consider a product so valuable that they would be very disappointed if it no longer existed, reflecting achieved product/market fit and core value, typically indicated by 40 percent or more 'very disappointed' survey responses and a stable retention curve.
Aha Moment Activationpsychological state
The state reached when a new user experiences the core value of a product for the first time, the moment its utility clicks, which is the key to converting visitors into active, engaged users and the focal point of activation efforts.
Channel and Language Fitcontextual condition
How well the marketing language describing the product resonates with the target audience (language/market fit) and how effective and cost-efficient the selected marketing channels are for reaching that audience with the product (channel/product fit).
Funnel Frictioncontextual condition
Any hindrance, annoyance, or unnecessary step that prevents users from completing a desired action along the path to value, such as complex sign-up forms, slow load times, or confusing checkout processes; reducing it raises conversion while desire offsets it.
Habit Formation and Engagement Loopbehavioral pattern
The state in which using a product becomes a routine reinforced through engagement loops of triggers, action, reward, and investment (stored value), so that customers return without external prompting and become loyal, retained users.
Customer Acquisitionoutcome metric
The outcome of attracting new customers or users to the product through chosen channels, viral loops, and compelling messaging, ideally at a cost-effective rate relative to the value of those customers.
Customer Retentionoutcome metric
The outcome of keeping customers actively using or paying for the product over time, the inverse of churn, which compounds revenue and is a deciding factor in profitability and sustainable growth.
Customer Monetizationoutcome metric
The outcome of earning revenue from customers and increasing revenue per customer over time (lifetime value), achieved through optimized pricing, upgrades, repeat purchases, and effective use of consumer psychology.
Sustainable Revenue Growthoutcome metric
The ultimate outcome of compounding gains across the funnel into a virtuous growth cycle of expanding revenue and reinvestment, while avoiding the growth stalls that result from complacency and failure to innovate.
How they connect
- cross functional growth team → influences high tempo experimentation
- data instrumentation → influences high tempo experimentation
- high tempo experimentation → influences must have product value
- must have product value → predicts aha moment activation
- high tempo experimentation → influences aha moment activation
- channel and language fit → moderates customer acquisition
- aha moment activation → influences customer acquisition
- funnel friction − moderates aha moment activation
- aha moment activation → predicts habit formation
- habit formation → predicts customer retention
- customer retention → influences customer monetization
- customer acquisition → predicts sustainable revenue growth
- customer retention → predicts sustainable revenue growth
- customer monetization → predicts sustainable revenue growth
- high tempo experimentation → mediates sustainable revenue growth
A candidate measure
Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success — derived measurement candidates
Cross-Functional Growth Team
Number of functions represented; Meeting cadence; Reporting level of growth lead
self-report suitability: medium
High-Tempo Experimentation
Tests per week (velocity); ICE scores; Win/loss/inconclusive ratio
self-report suitability: low
Data Instrumentation and Analytics
Event coverage percentage; Presence of data lake; Number of cohort/funnel reports
self-report suitability: low
Must-Have Product Value
Percent 'very disappointed' (40 percent threshold); Retention curve stability; Referral share
self-report suitability: high
Aha Moment Activation
Activation rate; Time to first value; Threshold behavior completion rate
self-report suitability: medium
Channel and Language Fit
Message A/B conversion lift; CAC by channel; Channel prioritization score
self-report suitability: low
Funnel Friction
Step-level exit rates; Abandonment rate; Coded survey reasons
self-report suitability: medium
Habit Formation and Engagement Loop
Return visits per period; Stored value level; Retention curve improvement
self-report suitability: medium
Customer Acquisition
New users per period; CAC; Viral coefficient
self-report suitability: none
Customer Retention
Retention rate; Churn rate; Cohort retention curves
self-report suitability: none
Customer Monetization
ARPU; Lifetime value; Conversion to paid; Average order size
self-report suitability: none
Sustainable Revenue Growth
Revenue growth rate; North Star metric trend; Reinvestment capacity
self-report suitability: none
The story
The reader A founder, marketer, product manager, or executive who wants to drive rapid, sustainable, cost-effective growth for their product or company.
External problem
Their growth has stalled or never taken off, and traditional marketing is too expensive and ineffective to acquire and keep customers profitably.
Internal problem
They feel overwhelmed by data and options, anxious about wasting limited resources, and uncertain about which growth tactics will actually work.
Philosophical problem
It is wrong to leave growth to luck, lore, or big ad budgets when a rigorous, data-driven, repeatable process exists that any team can use.
The plan
- Build a cross-functional growth team with clear roles and executive sponsorship.
- Confirm your product is must-have and identify its aha moment before scaling.
- Determine your growth equation, key metrics, and North Star metric.
- Run the high-tempo experimentation cycle: analyze, ideate, prioritize, and test.
- Apply the playbook across acquisition, activation, retention, and monetization, doubling down on wins.
Success
- A repeatable engine of compounding wins that drives breakout, sustainable growth.
- A unified, collaborative, data-driven culture across marketing, product, engineering, and data teams.
- More customers acquired cheaply, activated quickly, retained longer, and monetized more profitably, fueling a virtuous growth cycle.
At stake
- Wasting money and time promoting a product nobody loves and turning early users into critics.
- Falling into growth stalls and losing market share to faster-moving, experiment-driven competitors.
- Being disrupted and ultimately failing because of complacency and reliance on outdated marketing.
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