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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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My first ever episode is a conversation with my dear friend Andrew Hood. He's a digital analytics expert with hands on technical experience and high commercial awareness. I met on my first stop in the UK in 2005 and I've always admired how he can break down complex businesses to the fundamental business terms.
In this episode we'll learn how to approach data analytics if you're not a data scientist or analyst. My aim with this episode is to show that it doesn't have to be that complicated and demonstrate how important it is to understand and interpret your own data.
Chapters
1. #1 Understanding and Interpreting Your Digital Analytics, GA4 and others with Andrew Hood (00:00:00)
2. Building a digital consultancy and Andrew's story (00:01:28)
3. Fundamental skills for everyone - Asking good questions (00:04:13)
4. Discovering the right KPIs & questions - measurement framework (00:07:04)
5. Where to start with data measurement (00:08:10)
6. Digital analytics stack for smaller companies & typical challenges (00:10:15)
7. Examples - Where to start with with analytics (00:15:55)
8. Do you need a data scientist? How much skills you need to have? (00:17:41)
9. 3 methods to measure brand awareness (00:21:14)
10. Creative & surprising data applications examples (00:23:36)
11. Obvious things you need to do with your data that most businesses don't (00:26:10)
12. Overhyped trends in data analytics (00:28:21)
13. Combating the shortcomings of Google PMAX & Meta Advantage+ (00:30:00)
14. Cracks and limitations of Google's and meta's setup (00:37:51)
15. Andrew's theories on GA4 rollout and outlook (00:42:02)
16. Benefits of GA4 (00:47:03)
17. Systematic curiosity & daily digital analytics routines for growth (00:48:12)
18. Example of simplest use of data with the largest impact (00:49:55)
39 episodes
