What Is Growth Hacking?
Growth hacking uses rapid experimentation across marketing, product, and operations to find the most efficient ways to grow. Learn the core framework.
Key Takeaways
- Growth hacking is rapid, data-driven experimentation to find scalable growth levers
- The AARRR funnel (Acquisition, Activation, Retention, Revenue, Referral) is the core framework
- Fixing Retention before investing in Acquisition is almost always the right order
- Most growth hacks stop working — the goal is building a repeatable experimentation process, not a single clever trick
What growth hacking is
Growth hacking is a mindset and process of rapid, data-driven experimentation across every lever of growth — product, marketing, sales, and operations — to find the most efficient ways to acquire, retain, and monetise customers. The term was coined by Sean Ellis in 2010 and became synonymous with how Silicon Valley startups grew fast without large marketing budgets. The core idea is that growth is a system to be engineered, not a campaign to be run.
The AARRR funnel
The AARRR framework, also called Pirate Metrics (for the sound the acronym makes), was developed by Dave McClure and maps the five stages of the customer lifecycle. Acquisition: how do users find you? Activation: do they have a great first experience? Retention: do they come back? Revenue: how do you make money from them? Referral: do they tell others? Each stage is a potential bottleneck. The growth hacker's job is to identify which stage is the biggest constraint and run experiments to fix it.
Fix Retention before Acquisition
The single most common growth mistake is investing heavily in Acquisition before fixing Retention. If users acquire and then churn rapidly, you are pouring water into a leaky bucket. Every pound spent on acquisition is wasted if the product does not retain. Sean Ellis's rule of thumb: if fewer than 40% of users would be very disappointed to lose your product, fix that before spending on acquisition. When Retention is strong, Acquisition investment compounds — you keep the customers you acquire.
Running growth experiments
A growth experiment follows the same structure as a scientific experiment. Form a hypothesis (if we add a progress bar to onboarding, activation rate will improve because users will understand how close they are to value). Define success metrics and minimum sample size before starting. Run the experiment for a defined period. Analyse results and document learnings. Ship winners and move to the next experiment. The speed of learning is the competitive advantage — the more experiments you can run rigorously, the faster you improve.
The limits of growth hacking
Growth hacking has been over-hyped and often misapplied. A single clever viral trick rarely produces sustained growth. Hotmail's PS: Get your free email at Hotmail tagline worked once — no one can replicate it today because everyone has seen it. The sustainable version of growth hacking is building a repeatable experimentation capability — a team that continuously tests hypotheses across the AARRR funnel, learns faster than competitors, and accumulates compounding improvements over time.