eCommerce Evolution cover image

eCommerce Evolution

Episode 96 - How to Make Better Decisions - with Matt Clark of Amazing

Nov 14, 2019
57:15

Matt Clark is the Chairman and Co-founder of Amazing.  Amazing is the company behind the most successful info product/training course of all time - Amazing Selling Machines.   He and his partner Jason Katzenback also run SellerCon - one of the leading events for Amazon Sellers.  

In this episode we take a quick look into what’s new on Amazon and then we dive deep into a subject I’m quite passionate about - making better decisions.  I’m not sure of another skill more valuable than this one. This doesn’t need you need to always be right...you just need to get it right. We share a great Steve Jobs story in the podcast to illustrate this point.  

Here’s a look at a few of the topics we cover:

  • Confirmation Bias - and getting it right vs. being right
  • Mitigating Risks - with lessons from Sarah Blakely and Richard Branson.  Here Matt shares how he wasted $1million in Ad Spend when he could have tested with only $20,000.  Also we discuss the the Fire bullets, then cannonballs framework from Jim Collins.  
  • Diderot Effect - This deals with how to handle success and how success can lead to bankruptcy.  We also discuss 2nd and 3rd order consequences.  
  • Keep a decision log - Why and how and what this looks like for Matt. 
  • Some of Matt’s favorite books on the subject
  • Plus more!

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode