The $100K Household Filter: How to Use Income Banding to Find Your Brand's True Addressable Market Before You Sign a Distribution Deal

Shah Alvi
Shah Alvi·

Why Most Brands Overestimate Their Addressable Market

I’ve seen too many distribution deals fail because brands confuse "total households" with "households that can actually afford us." The $100K household filter fixes this by forcing you to define your realistic audience before you commit. Here’s how to use income banding to avoid overestimating your sell-through.

The Affordability Math Most Brands Ignore

Start with your product’s price point, then work backward to the income band required to afford it. A $50K SUV isn’t just "for middle-class buyers"—it’s for households earning ~$100K+, based on auto lenders’ 20/4/10 rule (20% down, 4-year term, 10% of income). The Census data shows only 34% of U.S. households clear that bar. That’s your real ceiling.

Set-Based Filtering: OR vs. AND Logic

Income banding works like the set-based filtering in analytics tools. Want a luxury product’s addressable market? Combine households earning $150K+ OR those with $1M+ net worth—not AND. The latter would shrink your market unnecessarily. This is why geographic adjustments matter: $100K in San Francisco buys less than in Tulsa, so your OR logic might need local AMI bands.

The Distribution Deal Killer: Unfiltered Market Sizes

A retailer might boast 10M "households reached." But if your $2K mattress requires a $100K+ income, and only 15% of their shoppers hit that threshold, your true addressable market is 1.5M—not 10M. I’ve watched brands overlook this and blame "poor execution" when their product sat on shelves. Use our Market Entry Scorecard to pressure-test these assumptions before signing.

Why This Beats Demographic Stereotypes

Income banding exposes flawed proxies like "college-educated millennials." A VP of Marketing earning $180K and a teacher married to a nurse (combined $110K) might both afford your product—but only one fits the cliché "affluent urban professional" profile. The data doesn’t care about your creative team’s persona slides.

The bottom line: If you’re not filtering by income bands, you’re guessing. And guessing gets expensive fast.