Growth Hacking: Data and Product Driven Marketing
summary
Shows concrete growth tactics and numbers: Airbnb Craigslist posting scraper and auto-emails that piggybacked on Craigslist traffic, Dropbox referral program: 100k→4M users, 2.8M invites in Apr 2010, 35% of paid users via referrals, and cost data like AdWords costing ~$233–$388 per user for a $9.99 product. Lays out a repeatable loop — brainstorm, prioritize, design minimum-success experiments, execute with agile sprints, analyze — notes tooling (A/B tests, funnels, cohort charts, events/predictive analytics, usability testing) and that 9/10 experiments fail.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 4:27Dropbox
- 10:10What is Growth Hacking
- 13:12What a Growth Hacker Looks Like
- 15:28Growth Hacking Process
- 18:11Types of Growth
- 19:02The Process
- 21:25Growth Hacking Agency
related talks
43mAccelerate time-to-market by product-led growth thinking
46mDesigning for impact
51mBehavioral Product Design: Rethinking Digital Products
28mCrafting Hyper-Relevant User Experiences
40mDesigned to Learn
41mHow Users Improvise Tomorrow's Experiences ...
56mEssential Analytics and Coding for the ‘Complete’ UX Professional
38mDon't Talk Data to Me
