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Returning guest and everyone's favourite marketing professor, Mark Ritson, is back. As usual, Mark comes out firing with some no nonsense advice to all marketers. He talks about AI taking over his Mini MBA, leaving Marketing Week, why pricing is the most important P and some rules for creativity. Sit back and soak up the knowledge from Mr Mark Ritson.
Timestamps
00:00 - Intro
01:06 - Why Mark Ritson sold Mini MBA
02:12 - Mark Ritson leaving Marketing Week
04:19 - Jon’s favourite AI use case
08:07 - Will AI take over Mini MBA?
11:38 - What marketers think is different to what customers think
12:58 - Mark Ritson on that Sydney Sweeney ad
16:15 - The Creative Dividend: what makes great marketing in 2025
27:45 - Why marketers need to be involved in the 4 Ps
30:30 - Why pricing is so important (and why marketers should be involved)
38:28 - The absence of strategy and what to do about it
42:38 - What has surprised Mark Ritson most in 2025
43:09 - Why AI is being marketed so poorly
49:58 - The power of synthetic data
By Jon Evans4.4
2929 ratings
Returning guest and everyone's favourite marketing professor, Mark Ritson, is back. As usual, Mark comes out firing with some no nonsense advice to all marketers. He talks about AI taking over his Mini MBA, leaving Marketing Week, why pricing is the most important P and some rules for creativity. Sit back and soak up the knowledge from Mr Mark Ritson.
Timestamps
00:00 - Intro
01:06 - Why Mark Ritson sold Mini MBA
02:12 - Mark Ritson leaving Marketing Week
04:19 - Jon’s favourite AI use case
08:07 - Will AI take over Mini MBA?
11:38 - What marketers think is different to what customers think
12:58 - Mark Ritson on that Sydney Sweeney ad
16:15 - The Creative Dividend: what makes great marketing in 2025
27:45 - Why marketers need to be involved in the 4 Ps
30:30 - Why pricing is so important (and why marketers should be involved)
38:28 - The absence of strategy and what to do about it
42:38 - What has surprised Mark Ritson most in 2025
43:09 - Why AI is being marketed so poorly
49:58 - The power of synthetic data

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