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Most brands use surface level data to market to superficial stereotypes.
James Addlestone, on the other hand, uses data like a detective, reading between the lines of people’s survey responses and finding innovative ways to get to the truth behind their behaviors.
With a background in behavioral economics and a deep appreciation for detective fiction (we talk quite a bit about Agatha Christie), James brings an exciting approach to data-driven strategy: one that combines quant, qual, and creative curiosity.
During our conversation, James challenges the industry’s overreliance on survey panels, pre-loaded category drivers, and overly-tidy narratives that tend to collapse under real-world scrutiny.
By contrast, James makes the case for embracing those moments when the data doesn’t quite make sense and treating that ambiguity as an invitation to look closer.
In this episode, we explore how James uses data triangulation, not silver bullets, to connect the dots between data points, which leads not only to new campaign directions, but can also result in subtle shifts in operations and product innovation.
Some of my favorite aha moments from our conversation include:
Show Notes:
Below are links to inspiring ideas that came up during our conversation.
Books:
Factfulness: 10 Reasons why You’re Wrong About the World–and Why Things are Better than you Think by Hans Roling
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Steph-Stephens Davidowitz
Algorithms to Live By: The Computer Science of Human Decisions by Tom Griffiths
Stolen Focus: Why You Can’t Pay Attention–and How to Think Deeply Again by Johann Hari
Blueprints: How Mathematics Shapes Creativity by Marcus du Sautoy
Companies
System 1: The World’s Most Predictive Ad Test
Meet the 85: Ethnographic Research Consultancy
Podcasts:
Thinking Inside the Box More Creatively with Dan Cohen, Creative Director at Saatchi New York
By Chris Kocek5
1212 ratings
Most brands use surface level data to market to superficial stereotypes.
James Addlestone, on the other hand, uses data like a detective, reading between the lines of people’s survey responses and finding innovative ways to get to the truth behind their behaviors.
With a background in behavioral economics and a deep appreciation for detective fiction (we talk quite a bit about Agatha Christie), James brings an exciting approach to data-driven strategy: one that combines quant, qual, and creative curiosity.
During our conversation, James challenges the industry’s overreliance on survey panels, pre-loaded category drivers, and overly-tidy narratives that tend to collapse under real-world scrutiny.
By contrast, James makes the case for embracing those moments when the data doesn’t quite make sense and treating that ambiguity as an invitation to look closer.
In this episode, we explore how James uses data triangulation, not silver bullets, to connect the dots between data points, which leads not only to new campaign directions, but can also result in subtle shifts in operations and product innovation.
Some of my favorite aha moments from our conversation include:
Show Notes:
Below are links to inspiring ideas that came up during our conversation.
Books:
Factfulness: 10 Reasons why You’re Wrong About the World–and Why Things are Better than you Think by Hans Roling
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Steph-Stephens Davidowitz
Algorithms to Live By: The Computer Science of Human Decisions by Tom Griffiths
Stolen Focus: Why You Can’t Pay Attention–and How to Think Deeply Again by Johann Hari
Blueprints: How Mathematics Shapes Creativity by Marcus du Sautoy
Companies
System 1: The World’s Most Predictive Ad Test
Meet the 85: Ethnographic Research Consultancy
Podcasts:
Thinking Inside the Box More Creatively with Dan Cohen, Creative Director at Saatchi New York

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