Decoding decisions: the hidden science behind why we buy with Phil Barden

Unicorny

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2M ago 31:14

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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:
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Chartable - https://chartable.com/privacy

64 episódios

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