50. Decoding decisions: the hidden science behind why we buy with Phil Barden
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Join Dom Hawes and Phil Barden in this episode of Unicorny as they dive into the power of decision science in B2B marketing.
- Understand decision science's role in marketing
- Explore how scientific principles can be applied to enhance marketing creativity and effectiveness
- Discover how behavioural and decision sciences inform marketing strategies
- Learn how renowned marketers have successfully applied scientific methods to real-world marketing challenges
- Delve into case studies demonstrating the tangible benefits of integrating science into marketing efforts
This episode offers a deep dive into how decision science can fundamentally transform marketing approaches, providing listeners with both theoretical insights and practical applications.
About Phil Barden
Phil has over 25 years client-side brand management experience (Unilever, Diageo and T-Mobile). Whilst responsible for T-Mobile’s brand positioning and development around Europe he became a client of DECODE marketing consultancy and first encountered 'decision science’. DECODE’s work led to the Liverpool St flash mob ˈdanceˈ ad which increased T-Mobile sales by 49% and further work halved customer churn. This epiphanal moment led Phil to set up DECODE in the UK.
Author of ‘Decoded. The Science Behind Why We Buy’ and a Fellow of The Marketing Society, Phil works with many clients and agencies in the application of decision science to day-to-day brand and shopper marketing activities.
Links
Full show notes: Unicorny.co.uk
LinkedIn: Phil Barden | Dom Hawes
Contact Phil Barden: Twitter | Email
Website: Decode Marketing
Sponsor: Selbey Anderson
Episode outline
- Phil Barden's Story and Introduction to Decision Science
- Marketing as Behaviour Change
- The Role of Science in Marketing
- Understanding Decision Making
- Understanding System 1 and System 2
- The Influence of Context in Marketing
- The Neurologic Purchase Decision Equation
- Leveraging Neuroscience in Marketing
This podcast uses the following third-party services for analysis:
OP3 - https://op3.dev/privacy
Podder - https://www.podderapp.com/privacy-policy
Chartable - https://chartable.com/privacy
85 episodes