Growth Hacking
Growth Hacking is not finding viral tricks. It's a rapid experimentation method for finding which funnel lever, when touched, produces the biggest effect with minimal effort.
“Growth hacking doesn't produce explosive growth every time. It produces a faster learning rate than competitors, and over time that's what wins.”
Otto GTM ObservatoryWhy B2B applies it wrong
Growth hacking was born in high-volume B2C contexts, where testing on thousands of users produces statistical signal in days. In B2B, with lower volumes and longer cycles, it should be applied not to acquisition but to funnel stages with more possible iterations: onboarding, key feature activation, referral programs among existing customers.
A disciplined test cycle (hypothesis, experiment, success metric defined in advance, decision within 2 weeks) distinguishes real growth hacking from a list of isolated tactics tried without method.
Anti-patterns
Common mistake: importing B2C growth hacking tactics (viral loops, aggressive referrals) into an enterprise B2B context where the decision cycle involves multiple stakeholders and doesn't respond to the same mechanisms.
Second mistake: launching experiments without a success metric defined in advance, making it impossible to objectively decide whether to scale or abandon a test after the planned period.
Practical Application
A B2B SaaS company tests 14 onboarding experiments in a quarter, of which 11 fail (unchanged activation rate) and 3 show improvement. The single winning experiment, a guided checklist for the first 7 days, raises the activation rate from 38% to 61%, with a direct impact on 90-day churn, which drops from 24% to 13%.