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ZARA

Brands
Fashion
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ZARA's ten nearest neighbors span fashion houses, ride-share brands, a bank, a food-delivery service, and two music-adjacent magazines — a composition that reflects a broad, urban consumer profile rather than a tightly fashion-defined one.

The shape is flat: scores run from 0.91 down to 0.88 with no single dominant neighbor. Similarity here measures how closely two entities' audiences resemble each other in composition; a score of 0.91 means the audiences are nearly interchangeable in shape. Hypebeast leads at 0.91, followed immediately by Alexander McQueen at 0.90. Four of the ten neighbors are Fashion brands — McQueen, Karl Lagerfeld, NASTY GAL, and Saint Laurent — but the other six are not: Chase (social) (0.89, Finance), Ask Lyft and Lyft (0.89 and 0.88, Travel), The FADER (0.89, Magazines), and Postmates (0.89, Restaurant). The two Lyft entries together make Travel the second-largest subcategory in the set, tied with Magazines. That a bank and a food-delivery app sit this close to luxury fashion houses — within three hundredths of a point — signals that the audience shape here is defined less by fashion interest alone and more by a lifestyle cluster that cuts across spending categories.

The flat distribution across subcategories points to an audience with wide commercial reach, one that looks as much like a ride-share or finance brand's followers as it does a luxury fashion label's.

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "zara", "title": "ZARA", "category": "Brands", "subcategory": "Fashion", "resolved": "zara", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "hypebeast", "title": "Hypebeast", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9051, "drivers": [ "I01", "E06", "Q01", "P03", "G01" ] }, { "handle": "mcqueen", "title": "Alexander McQueen", "category": "Brands", "subcategory": "Fashion", "similarity": 0.9044, "drivers": [ "I01", "E06", "Q01", "A02", "G01" ] }, { "handle": "chase_social", "title": "Chase (social)", "category": "Brands", "subcategory": "Finance", "similarity": 0.8937, "drivers": [ "E06", "I01", "Q01", "A02", "N03" ] }, { "handle": "asklyft", "title": "Ask Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.8892, "drivers": [ "P03", "Q01", "I01", "E06", "G01" ] }, { "handle": "thefader", "title": "The FADER", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8891, "drivers": [ "I01", "Q01", "E06", "A02", "G01" ] }, { "handle": "postmates", "title": "Postmates", "category": "Brands", "subcategory": "Restaurant", "similarity": 0.8885, "drivers": [ "P03", "I01", "G01", "Q01", "A02" ] }, { "handle": "karllagerfeld", "title": "Karl Lagerfeld", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8882, "drivers": [ "I01", "P03", "A02", "E06", "G01" ] }, { "handle": "nastygal", "title": "NASTY GAL", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8848, "drivers": [ "E06", "I01", "Q01", "P03", "A02" ] }, { "handle": "ysl", "title": "Saint Laurent", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8842, "drivers": [ "I01", "Q01", "E06", "P03", "G01" ] }, { "handle": "lyft", "title": "Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.8822, "drivers": [ "I01", "E06", "G01", "P03", "G03" ] } ] }
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