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.
…
continue reading
MP3•Episode home
Manage episode 429466719 series 3587007
Content provided by Luke Szkudlarek. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Luke Szkudlarek or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Gergely is one of the smartest and boldest data scientists that the digital media has seen - we cover some fundamental analytics topics and focus on finding ways to improve your campaigns. This episode is interesting to all companies who spend money on advertising on Google, meta etc.
Chapters
1. #2 Use Data to Your Advantage & Exploit the Big Tech Media Setup with Gergely Kalmár (00:00:00)
2. Intro to Gergely (00:00:30)
3. The dark side the media industry & big tech publishers (00:01:45)
4. How to outsmart Meta and Google - running own tests (00:15:11)
5. Good vs. bad agencies and ethics of the agency business (00:20:37)
6. Don't trust the system & challenge the rules (00:22:57)
7. The minimum set up for experimentation (00:25:10)
8. Investigating and learning from poor performing campaigns (00:29:00)
9. Planning and measuring new product launch & brand awareness (00:31:31)
10. YouTube Brand Lift studies, selection bias & measuring campaigns (00:37:11)
11. Hacking large big tech media, cost of advertising & alternatives to meta and google (00:43:24)
12. Meta and Advantage+ campaigns & shady placements (00:49:05)
13. Weaknesses of meta, Google etc. (00:52:38)
14. Hacking advertising policies (00:55:59)
15. Overcoming fear of data - where to start when you have data allergy (00:58:52)
16. Data and growth trends and outlook (01:05:34)
39 episodes