Glossary
Growth hacking
Growth hacking is a data-driven marketing discipline combining rapid experimentation (test → measure → iterate), unconventional cross-channel techniques, and exploitation of product loops (viral loops, product-led growth) to accelerate user growth at reduced marginal cost.
Also known as
- growth hacking
- growth marketing
- accelerated growth
Term coined by **Sean Ellis** (first marketer at Dropbox and LogMeIn) in 2010 to describe an operating mode different from traditional marketing: instead of campaigns planned 6 months out, weekly experiments tested on 100–1,000 users, rigorously measured, and kept or killed within 1–2 weeks. Founding cases: **Hotmail** ("PS: I love you. Get your free email at Hotmail" in email signatures → 12M users in 18 months), **Dropbox** (16GB referral program → +60% signups in 30 days), **Airbnb** (Craigslist integration hack to cross-post listings).
Modern methodology (ICE / PIE prioritization, Bryan Eisenberg's GROWS framework): (1) **define the North Star Metric**, (2) **map the AARRR funnel**, (3) **brainstorm 50–100 experiments** per sprint, (4) **prioritize by ICE** (Impact × Confidence × Ease), (5) **launch 5–10 experiments/week**, (6) **measure rigorously** (statistical significance). Growth hacking isn't a bag of tricks — it's an experimentation methodology. HubSpot, Reforge, GrowthTribe research: mature growth teams run 3–5× more experiments than traditional marketing teams, with a typical win rate (experiment producing measurable uplift) of 15–25%.
In the getchatsocial.com product
getchatsocial.com applies growth hacking to its own channels: pSEO testing at cadence (use cases / compare / glossary), onboarding experiments, full PostHog tracking of the AARRR funnel — and exposes Brandyze tools on the product side so users can do the same for their social accounts.
FAQ
Growth hacking vs traditional marketing: what's the difference?
Traditional marketing: 3–6 month planned campaigns, significant media budgets, awareness metrics. Growth hacking: weekly experiments, low cost per experiment, activation/conversion/retention metrics. The two aren't opposites — the modern practice combines a base layer of brand campaigns (traditional) with a continuous flow of growth experiments.
How many growth experiments should you run per week?
Reforge / GrowthTribe benchmark: mature teams run 5–10 experiments/week with a win rate of 15–25%. Starting at 2–3/week is already 3–5× more than most marketing teams. The discipline lies in measurement rigor more than volume — a poorly measured experiment teaches you nothing.