Growth hacking: definition, techniques and mindset
Updated on February 22, 2026
Quick definition
Growth hacking is an approach to growth that combines marketing, product, data and engineering to quickly identify and exploit the most effective growth levers via an intensive culture of experimentation and measurement. Growth hacking differs from traditional marketing by its execution speed, its data obsession and its ability to find creative, low-cost solutions for acquiring and retaining users.
How it works
The term 'growth hacking' was popularised by Sean Ellis in 2010 to describe marketers hyper-focused on growth in Silicon Valley startups. A growth hacker does not separate marketing from product: they leverage the product itself as a growth channel.
Iconic growth-hacking techniques include:
- Dropbox's viral loop: referral = bonus free storage
- Hotmail's email: 'PS: I Love You. Get your free email at Hotmail'
- Airbnb × Craigslist: automatic scraping to distribute listings
- PayPal's referral program: $10 to each new sign-up
Today, growth hacking is structured around Dave McClure's AARRR framework (Acquisition, Activation, Retention, Revenue, Referral). The growth hacker analyses each step to identify high-impact levers and runs fast experiments to optimise them: A/B testing, behavioural analytics, product personalisation, onboarding sequences, referral mechanics.
Execution speed is crucial: an ideal test-measure-learn cycle lasts 1 to 2 weeks at most.
Why it matters
Growth hacking has allowed many startups to grow exponentially with limited marketing budgets, replacing ad spend with ingenuity and data.
In a competitive SaaS context, the ability to experiment quickly and identify virtuous growth loops can be the differentiating factor between a startup that takes off and one that stalls. It is as much a culture as a methodology.
How to improve or use it
- 1Precisely instrument your funnel with granular analytics events at each step.
- 2Maintain an experiment backlog prioritised by ICE score (Impact, Confidence, Ease).
- 3Run 2 to 4 experiments per week with a clear hypothesis, a defined success metric and a fixed duration.
- 4Document all results, even negative ones, and share them with the team.
- 5Create weekly experiment-review rituals to accelerate organisational learning.
With Sublim
Sublim is the ideal analytics tool for growth-hacking teams: it provides complete real-time behavioural data with no complex configuration and no consent-related loss. Its custom events allow precise measurement of every micro-hypothesis, and its API lets you integrate analytics data into automated experimentation workflows.
Frequently asked questions
Is growth hacking only for startups?
No, the data-driven experimentation and optimisation culture of growth hacking applies to any organisation seeking to accelerate its growth. Large companies have built dedicated 'growth teams' that apply these principles at larger scale, with bigger budgets but the same experimental rigor.
What is the difference between a growth hacker and a digital marketer?
A digital marketer focuses primarily on acquisition channels and communication. A growth hacker also integrates product, data and engineering into their approach and looks at every stage of the customer life cycle (AARRR). The growth hacker is often more technical and more oriented toward fast experimentation.
What are the best growth-hacking tools?
A typical growth-hacking stack includes: a behavioural analytics tool (Sublim, Mixpanel), an A/B testing tool (VWO, Optimizely), a marketing automation tool (Brevo, ActiveCampaign), a session-recording tool (Hotjar, FullStory), an experiment management tool (Notion, Linear) and a CRM to track conversions.
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