The setup: 10,000 U.S. adults. Five demographic variables (age, gender, income, education, region) and five cultural variables (environmental values, outdoor identity, brand community, social signaling, openness). The dependent variable: willingness to pay for a midweight fleece jacket ($70–$200).
Three audience members hear the same argument about culture vs. demographics. Each walks away with a different interpretation. Which captures the insight most faithfully — and most usefully?
The Fanning Effect
Same income, different cultural communities → very different WTP. But only at the top of the income distribution.
All five communities cluster between $92–$98. Cultural identity exists but can't express itself in the purchase. Budget constraints dominate.
Climate Activists pay $178. Deal Seekers pay $108. A $70 gap among people with the same income. Culture is doing all the work here.
Each contains a mix of ages, genders, incomes, and regions — they crosscut demographics.
Culture determines direction.
Economics determines magnitude.
The argument isn't that demographics don't matter — it's that they matter differently than marketers assume. Demographics don't tell you who will pay the premium. Culture does that. But demographics tell you how much that cultural identity can express itself in the purchase.
This is why Patagonia's Worn Wear program is strategically brilliant: it gives price-constrained Climate Activists a way to participate in the brand's cultural meaning at a price point they can afford. It doesn't ignore economics — it routes around the constraint while honoring the cultural identity.
The interaction model (R² = 32%) explains 10 percentage points more variance than either block alone — and those 10 points are worth millions in targeting efficiency.