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Shazam

Brands
Technology
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Fashion dominates Shazam's nearest audiences — six of the top 10 neighbors are luxury or mid-market Fashion brands, with no other Technology brand appearing in the set.

The shape is broad: scores run from 0.86 down to 0.80 across the top 10 with no single neighbor pulling far ahead of the rest. PRADA leads at 0.86, followed closely by Gucci (social) at 0.84 and Dior (social) at 0.84. Valentino (0.83) and Givenchy (0.82) round out a tight cluster of European luxury houses. The sixth Fashion entry, Beautylish (0.81), extends the pattern into Beauty. The remaining four neighbors break the fashion concentration: T-Mobile (0.80) and Roberto Cavalli (0.80) sit just below Beautylish, followed by DC Vertigo (0.80, Entertainment Platforms) and Bulgari (0.80, Fashion). Shazam's own subcategory — Technology — has no representative in the top 10; the nearest Technology neighbor, BlackBerry, appears only at position 26 in the broader dataset.

The cross-kind pattern here is the finding: a music-identification app whose audience shape aligns most tightly with high-fashion and luxury brands, not with other tech or music platforms. That alignment, consistent across six distinct fashion houses spanning luxury to accessible retail, points to an audience whose consumption habits cut across both digital tools and aspirational lifestyle brands.

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": "shazam", "title": "Shazam", "category": "Brands", "subcategory": "Technology", "resolved": "shazam", "k": 10, "shape": "broad", "filter": null, "results": [ { "handle": "prada", "title": "PRADA", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8579, "drivers": [ "N03", "Q01", "P03", "I01", "Q08" ] }, { "handle": "gucci_social", "title": "Gucci (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8397, "drivers": [ "Q02", "E03", "Q01", "Q08", "P03" ] }, { "handle": "dior_social", "title": "Dior (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8382, "drivers": [ "Q01", "Q02", "I01", "P03", "Q04" ] }, { "handle": "maisonvalentino", "title": "Valentino", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8303, "drivers": [ "N03", "Q01", "I01", "Q02", "P03" ] }, { "handle": "givenchy", "title": "Givenchy", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8209, "drivers": [ "N03", "Q01", "I01", "Q02", "P03" ] }, { "handle": "beautylish", "title": "Beautylish", "category": "Brands", "subcategory": "Beauty", "similarity": 0.8076, "drivers": [ "N03", "Q01", "Q04", "I01", "Q08" ] }, { "handle": "tmobile", "title": "T-Mobile", "category": "Brands", "subcategory": "Telecommunications", "similarity": 0.804, "drivers": [ "Q02", "P03", "Q01", "E04", "E03" ] }, { "handle": "roberto_cavalli", "title": "Roberto Cavalli", "category": "Brands", "subcategory": "Fashion", "similarity": 0.7979, "drivers": [ "N03", "Q01", "E04", "I01", "Q02" ] }, { "handle": "vertigo_comics", "title": "DC Vertigo", "category": "Brands", "subcategory": "Entertainment Platforms", "similarity": 0.7971, "drivers": [ "N03", "E03", "I01", "Q01", "P03" ] }, { "handle": "bulgariofficial", "title": "Bulgari", "category": "Brands", "subcategory": "Fashion", "similarity": 0.7955, "drivers": [ "N03", "Q01", "Q02", "E04", "I01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: