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Beauty & Cosmetics

Retail
Beauty and Cosmetics
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The top 10 neighbors for Beauty & Cosmetics span five distinct categories — Retail, Services, Entertainment & Leisure, Restaurants & Eateries, and Apparel — with no single category dominating the set, a pattern consistent with the broad shape classification.

ULTA Beauty leads at 0.93, the strongest score in the set and the only same-subcategory neighbor in the top 10 to pull clearly ahead of the pack. Sephora follows at 0.87, and Beauty Salons & Spas at 0.86 — together these three form a coherent beauty-services core. But the neighbor immediately behind ULTA is Pet Supplies & Services at 0.87, a cross-kind result that signals the audience shape here is not defined by beauty alone. Barnes and Noble (0.85), Nothing Bundt Cakes (0.85), and Movies & Theaters (0.85) all sit within a tight band, representing bookstores, bakeries, and entertainment — categories with no obvious thematic link to cosmetics. Charlotte Tilbury (0.84) is the third same-subcategory neighbor in the top 10, alongside ULTA and Sephora. Rounding out the set are Sleep Number (0.83) and Old Navy (0.83), a furniture retailer and a general apparel brand respectively.

The overall picture is an audience whose shape overlaps broadly with mainstream consumer retail and services — beauty-specific neighbors anchor the top, but the rest of the cluster is drawn from everyday shopping and leisure categories, suggesting this audience is defined as much by general consumer behavior as by beauty interest specifically.

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": "beauty-and-cosmetics", "title": "Beauty & Cosmetics", "category": "Retail", "subcategory": "Beauty and Cosmetics", "resolved": "beauty-and-cosmetics", "k": 10, "shape": "broad", "filter": null, "results": [ { "handle": "ulta-beauty", "title": "ULTA Beauty", "category": "Retail", "subcategory": "Beauty and Cosmetics", "similarity": 0.9296, "drivers": [ "K01", "O04", "M01", "Q02", "Q04" ] }, { "handle": "pet-supplies-and-services", "title": "Pet Supplies & Services", "category": "Retail", "subcategory": "Pet Supplies and Services", "similarity": 0.8733, "drivers": [ "M01", "K01", "O04", "Q02", "N02" ] }, { "handle": "sephora", "title": "Sephora", "category": "Retail", "subcategory": "Beauty and Cosmetics", "similarity": 0.8687, "drivers": [ "A02", "O04", "Q02", "K01", "M01" ] }, { "handle": "beauty-salons-and-spas", "title": "Beauty Salons & Spas", "category": "Services", "subcategory": "Beauty Salons and Spas", "similarity": 0.8603, "drivers": [ "O04", "M01", "A02", "Q02", "K01" ] }, { "handle": "barnes-noble", "title": "Barnes and Noble", "category": "Retail", "subcategory": "Bookstores", "similarity": 0.8541, "drivers": [ "K01", "M01", "N02", "O04", "N01" ] }, { "handle": "nothing-bundt-cakes", "title": "Nothing Bundt Cakes", "category": "Restaurants & Eateries", "subcategory": "Bakeries Desserts and Confectioneries", "similarity": 0.8482, "drivers": [ "M01", "K01", "N03", "A05", "Q04" ] }, { "handle": "movies-and-theaters", "title": "Movies & Theaters", "category": "Entertainment & Leisure", "subcategory": "Movies and Theaters", "similarity": 0.8453, "drivers": [ "M01", "K01", "O04", "Q02", "N02" ] }, { "handle": "charlotte-tilbury", "title": "Charlotte Tilbury", "category": "Retail", "subcategory": "Beauty and Cosmetics", "similarity": 0.8432, "drivers": [ "M01", "H04", "Q04", "N03", "K01" ] }, { "handle": "sleep-number", "title": "Sleep Number", "category": "Retail", "subcategory": "Furniture Stores", "similarity": 0.8336, "drivers": [ "K01", "M01", "Q04", "Q02", "O04" ] }, { "handle": "old-navy", "title": "Old Navy", "category": "Apparel", "subcategory": "General", "similarity": 0.8271, "drivers": [ "K01", "M01", "O04", "N02", "Q02" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: