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Chase (social)

Brands
Finance
Playground →Docs

The top 10 neighbors for Chase (social) span five distinct subcategories — restaurant, travel, fashion, banks, and finance — with no single kind dominating and scores compressed into a narrow band from 0.90 down to 0.87.

The shape is flat: Eat24 leads at 0.90, followed closely by Uber at 0.89 and ZARA at 0.89, but none of these pull away from the pack. Bank of America (0.89) and Chase (0.88) are the only two neighbors sharing a banking subcategory, and Lyft (0.88), Postmates (0.88), and Ask Lyft (0.88) add a second cluster of ride-share and delivery brands. The remaining two positions go to Hypebeast (0.87), a magazine, and Betsey Johnson (0.87), a fashion brand — neither of which shares the center entity's Finance subcategory. That cross-kind spread is the defining feature here: only two of the ten neighbors are banks or finance brands, while the majority are restaurant, travel, and fashion properties. The audience for Chase's social presence is shaped less by financial-services affinity than by a broader urban-consumer profile that overlaps with delivery apps, rideshare platforms, and fashion media.

The flat, cross-kind distribution suggests this audience is defined by lifestyle breadth rather than category loyalty.

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": "chase_social", "title": "Chase (social)", "category": "Brands", "subcategory": "Finance", "resolved": "chase_social", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "eat24", "title": "Eat24", "category": "Brands", "subcategory": "Restaurant", "similarity": 0.9002, "drivers": [ "I01", "Q01", "G03", "A06", "G01" ] }, { "handle": "uber", "title": "Uber", "category": "Brands", "subcategory": "Travel", "similarity": 0.8946, "drivers": [ "A02", "G01", "I01", "E06", "N03" ] }, { "handle": "zara", "title": "ZARA", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8937, "drivers": [ "E06", "I01", "Q01", "A02", "N03" ] }, { "handle": "bank-of-america", "title": "Bank of America", "category": "Financial", "subcategory": "Banks", "similarity": 0.8886, "drivers": [ "E06", "I01", "Q01", "A02", "G01" ] }, { "handle": "lyft", "title": "Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.8839, "drivers": [ "I01", "E06", "G01", "G03", "A02" ] }, { "handle": "chase", "title": "Chase", "category": "Financial", "subcategory": "Banks", "similarity": 0.879, "drivers": [ "I01", "E06", "A02", "Q01", "G01" ] }, { "handle": "postmates", "title": "Postmates", "category": "Brands", "subcategory": "Restaurant", "similarity": 0.8789, "drivers": [ "N03", "I01", "A02", "G01", "Q01" ] }, { "handle": "asklyft", "title": "Ask Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.8779, "drivers": [ "Q01", "I01", "N03", "E06", "G01" ] }, { "handle": "hypebeast", "title": "Hypebeast", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8741, "drivers": [ "E06", "I01", "Q01", "A02", "G01" ] }, { "handle": "xobetseyjohnson", "title": "Betsey Johnson", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8719, "drivers": [ "I01", "Q01", "N03", "A02", "G01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: