Growth Hacking

Growth Hacking is a marketing approach that treats user growth as an engineering problem, pursued through fast, measurable experiments rather than long campaign cycles. A growth team forms a hypothesis about one step of the funnel — acquisition, activation, referral, or retention — ships the smallest change that tests it, and keeps only what the data supports. The work sits between product and marketing, so growth engineers routinely edit onboarding flows, pricing pages, and lifecycle email rather than handing specs to another team. Dropbox's two-sided referral program, which rewarded both inviter and invitee with storage, and Slack's spread from single teams outward to whole companies are the cases the discipline keeps returning to. Modern SaaS folds this into product-led growth, where a free tier does the selling and usage data decides where to invest. AI tools now draft ad variants, score leads, and summarize experiment results, which lowers the cost of running many tests at once. The usual pitfall is optimizing a vanity metric: signups climb while activation and retention stay flat, and the funnel leaks faster than acquisition can fill it. Growth hacking without a retention story is simply churn with a larger budget.