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April 30, 2024 31 mins

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
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