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Consumer behavior & culture

Behavioral segmentation & jobs-to-be-done

44 indexed claims · 9 guests · peaked 2025-Q2

Behavioral segmentation & jobs-to-be-done

Overview

Two frameworks dominate these conversations: behavioral segmentation and jobs-to-be-done. The guests share a common target — the demographic-first instinct that still organizes most consumer research — and each, from their own category vantage point, dismantles it in a different way. Kim Duncan shows that within every age bracket there are roughly as many adventurous flavor consumers as hesitant ones. Ben Valenta demonstrates that NBA fans and NFL fans are not distinct segments — they are simply sports fans at different engagement levels. Steve Markenson and Brittne Kakulla show that life stage, not birth year, drives food and technology behavior. Running through all of it is a jobs-to-be-done thread: the function a consumer is hiring a product or experience to perform — community connection, health translation, speed — matters more than any identity or preference label attached to them.

From the corpus

  • Adoption-curve segmentation patterns transfer across consumer domains, but with a structural caveat: in flavor every consumer is a participant, while in domains like health and wellness roughly half the population opts out of the category entirely — collapsing the active segments into a smaller share of the total. — Kim Duncan, Ep. 14 · cl-kim-duncan-017
  • Categories conventionally treat 'mainstream' flavors as universally safe, but the segmentation overlay reveals that of twenty mainstream flavors, perhaps only six are mainstream for Hesitators — explaining the launch failure pattern where a mainstream-bucketed flavor flops with a hesitator target. — Kim Duncan, Ep. 14 · cl-kim-duncan-018
  • Both 'risk' and 'adventurous' mean different things to different segments — what is risky to a trailblazer is unrecognizable as risky to a hesitator, and a follower's idea of adventure does not resemble a trailblazer's; treating these words as universal is a category error. — Kim Duncan, Ep. 14 · cl-kim-duncan-010
  • Once a person has established adult life, their position on the flavor adoption curve is largely fixed; preferences may shift at the margins, but a hesitator does not become a trailblazer, and the population-level distribution of segments stays stable over time. — Kim Duncan, Ep. 14 · cl-kim-duncan-014
  • Generational cohort labels (Gen Z, Millennial, Boomer) are a poor segmentation lens for food behavior; life stage — whether someone has kids, lives alone, is newly independent — explains far more variance in food consumption and shopping habits. — Steve Markenson, Ep. 35 · cl-steve-markenson-005
  • In an abundant marketplace, products designed for 'everyone' will succeed at a vanishingly small rate — the durable model is creating the right product for someone, with adoption-curve segments naming who that someone is at each launch stage. — Kim Duncan, Ep. 14 · cl-kim-duncan-008
  • Flavor adoption segments are demographic-agnostic: there are roughly as many adventurous millennials as non-adventurous ones, and the assumption that 'a demographic is all the same' is a primary driver of the 80% new-product failure rate. — Kim Duncan, Ep. 14 · cl-kim-duncan-005
  • From a consumer insights perspective, getting the framing right is the prerequisite for downstream decisions; an entertainment-first frame on sports leads marketers to wrong conclusions, while a community-first frame leads to right ones. — Ben Valenta, Ep. 20 · cl-ben-valenta-007

Contributing guests

Episodes in Behavioral segmentation & jobs-to-be-done

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