Data driven marketing: getting the balance right

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" summary

Panelists describe a working program selection algorithm that produces an enrollment prediction the moment a prospect visits, and that prediction now powers whether long‑form acquisition spend happens; a typical new program carries about $10M net negative cash over four years. Advice: restrict focus to five key metrics (not 14), combine those predictions with human interviews and creative instincts, run continuous audience segmentation, and staff a large digital team (100+ marketers) to iterate — emotional signals remain largely uncaptured.

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" chapters (13)

1. 0:00Introduction and panel setup
2. 1:19Defining data-driven marketing
3. 2:22Balancing data and creativity
4. 3:47Creative roles in data-driven world
5. 5:13From gut instinct to data science
6. 7:19Targeting the right audience
7. 9:07Speed versus accuracy in decisions
8. 11:15Creative development stages
9. 12:41Talking to customers matters
10. 14:04Aligning faculty with data
11. 15:08Best practices for data use
12. 17:18Fundamentals of content marketing
13. 18:40Closing remarks and Q&A