Why is everyone so into Clubhouse? And is it right for you?
In this video, my colleague Michael O’Brien explains how to use Clubhouse to grow your business and answers questions our mastermind group members had.
If you have more questions, feel free to add them in the comment section!
Show Notes:
- 00:00 Intro
- 02:48 Hosting rooms and clubs
- 03:42 What Michael O’Brien sees as the most effective rooms (for best Clubhouse experience)
- 04:00 From Clubhouse to selling merch in Michael’s store (conversion, etc.)
- 05:38 Clubhouse allows creators to accept payments via Stripe
- 06:47 Showing up to rooms and connecting with likeminded people
- 08:00 Q1. Are attendees always the same?
- 09:45 Q2. Do people find you on Clubhouse, or elsewhere prior to Clubhouse?
- 10:47 Q3. How do people on Clubhouse find Michael’s merch store?
- 11:48 Q4. How does Michael manage a frequent schedule on Clubhouse?
- 15:00 Q5. Does Michael pre-schedule all his events on Clubhouse?
- 16:00 Q6. How does Michael keep people informed when he goes live (i.e. Google calendar)?
- 17:37 Q7. What does Michael do during his 5-min meditation session on Clubhouse?
- 19:32 Q8. How do people generally find Michael and his room on Clubhouse?
- 20:55 Q9. What does Michael think as the main driver for his clubhouse success?
- 22:00 Q10. What’s the difference between being a club member vs. follower?
Ready to start and grow your own YouTube channel?
Written by
Fei WuFei Wu is the founder and CEO of Feisworld Media, a Massachusetts-based digital media company helping brands get discovered by people and by AI. An Adobe Global Ambassador and brand partner to ElevenLabs, Synthesia, and 50+ other tech and AI companies, she hosts the Feisworld Podcast (400+ episodes, 500K+ downloads — guests have included Seth Godin, Steve Wozniak, Chris Voss, and Arianna Huffington) and co-created the documentary Feisworld: Live Your Art on Amazon Prime. Fei writes for CNET, Lifehacker, and PCMag, and her work has been featured in Forbes, Harvard Business Review, and WIRED. She has been publishing on the internet since 2014 — long before AI discoverability had a name.
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