Distinctive brand assets

The cues (a color, a shape, a sound, a character, the mark itself) that make people name your brand before they read it.

brand cuesthe stuff people recognize without the nameownable recognizable bitsbrand codesdistinctive assetsrecognisable without the logothe thing people remember about a brand

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What it is

Distinctive brand assets are the cues that make someone name your brand before they read a word of it: Tiffany blue, the Intel five-note bong, the Geico gecko, the shape of a Coke bottle, the Netflix 'ta-dum'. The logo and the wordmark are assets too, they just sit in the same pile as the colors, characters, sounds, shapes, and packaging rather than automatically on top of it. The term comes out of the Ehrenberg-Bass Institute (Jenni Romaniuk's work), where assets get scored on two axes: fame (what share of category buyers link the cue to your brand) and uniqueness (what share link it to your brand and nobody else). High on both is a real asset. High fame, low uniqueness means you built a category cliche that cues your competitors as happily as it cues you.

Build them when your buyers decide in one second on a shelf or in a feed, which is most of the time. Assets are made by repetition, not by cleverness: the same color, the same character, the same layout device, the same sound, unchanged, for years, across every touchpoint. A cue you use in three campaigns and then retire is decoration.

The expensive misconception is that these are decorations the logo outranks. In practice the logo is often the weakest asset, because it is the smallest thing on the page. Cadbury has litigated over purple and Christian Louboutin over a red sole for a reason. This is also why every 'modernization' that quietly drops the mascot or shifts the color spends recognition equity that took a decade to buy.

Ask AI for it

Using this asset inventory [ASSETS: mark, color, shape, character or mascot, sound, layout device, typographic quirk, packaging structure, recurring phrase] and these supplied category-buyer survey results [UNAIDED ASSOCIATIONS BY ASSET], calculate fame (share of category buyers who link the cue to us) and uniqueness (share who link it to us and nobody else) for each cue. Plot the measured results on a fame-versus-uniqueness grid, identify the three strongest assets, and recommend usage changes for each: what to over-use for the next three years, what to fix so it appears unaltered on every touchpoint, and what to retire. Label any cue with no survey data as unmeasured rather than guessing a score. Deliver a one-page asset palette showing each chosen cue on its own.

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