Feed Your Outliers, Not Averages

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Most businesses obsess over making the average customer, employee, or product a tiny bit better. The sketch you’re looking at blows that idea up. It shows a giant yellow bar labeled 16X for the top 20% of your business, and a tiny red 1X bar for the other 80%—with the same effort arrow sitting between them. The message: your outliers are already doing 16 times more work for you. The smart move isn’t nudging the middle; it’s over-feeding the freakishly good stuff.

The 16X Rule in Plain English

The image spells it out: the top fifth of your business is 16X more productive than the rest. Same hours, same calendar space, totally different output. That might be your highest-value clients, your best-selling product, your most-effective emails, or your star employees. When you spread attention evenly, you’re taking fuel away from the 16X group and donating it to the 1X group. That’s why growth feels slow even when everyone is “busy.”

How to Feed Your Outliers

  • Identify your yellow bars: list the top 20% of customers, offers, content, or people driving most of the revenue and results.
  • Give them disproportionate love: better service, more experiments, faster responses, more budget, more promotion.
  • Prune the red bars: raise prices, automate, or phase out the bottom 80% that soaks up time but barely moves the graph.
  • Design for extremes, not averages: build products, funnels, and content that delight power users instead of pleasing everyone a little.

Real-World Outlier Feeding

Amazon logo

Amazon focuses its firepower on Prime members, pouring perks, speed, and exclusive deals into the small group that drives most of its revenue.

Shopify logo

Shopify concentrates product innovation around high-volume merchants, building advanced tools for the minority of stores processing the majority of transactions.

Patreon logo

Patreon optimizes for top-earning creators, rolling out features and support that help a tiny slice of users generate most of the platform’s payouts.

Creative Variations

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