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M&T Bank

Financial
Banks
Playground →Docs

Monro, an automotive maintenance and repair chain, sits at the top of M&T Bank's similarity list at 0.59 — and Mariska Hargitay, an actor, lands just behind at 0.59. These two form the two-peak structure: one neighbor rooted in everyday service retail, the other in television celebrity, with the remaining eight neighbors spread across a wide mix of subcategories between them.

The top 10 as a whole span five distinct subcategories: Maintenance and Repair Services (Monro, 0.59), Actors (Mariska Hargitay, 0.59), Blogs (This Old House, 0.59), TV Shows (Star Trek on Paramount+, 0.58), and Food (Pretzel Crisps, 0.57). No other bank appears in the top 10 — the nearest fellow bank in the full similarity set sits outside this window entirely. The cross-kind character here is pronounced: M&T Bank's audience shape is defined almost entirely by non-financial neighbors, with TV personalities (Emeril Lagasse, 0.57), a travel brand (CSX, 0.55), another TV personality (Al Roker, 0.55), a comedian (Jay Leno, 0.54), and a TV channel (QVC, 0.54) rounding out the set.

The pattern across these neighbors — home improvement media, legacy TV personalities, automotive services, regional food brands — points to an audience whose shape is defined by established, mid-market American consumer habits rather than by financial category affinity.

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": "mandt-bank", "title": "M&T Bank", "category": "Financial", "subcategory": "Banks", "resolved": "mandt-bank", "k": 10, "shape": "two-peak", "filter": null, "results": [ { "handle": "monro", "title": "Monro", "category": "Automotive", "subcategory": "Maintenance and Repair Services", "similarity": 0.5947, "drivers": [ "N03", "P02", "P06", "N02", "E06" ] }, { "handle": "mariska", "title": "Mariska Hargitay", "category": "Celebrities and Influencers", "subcategory": "Actors", "similarity": 0.5888, "drivers": [ "N03", "P02", "P01", "P06", "A02" ] }, { "handle": "thisoldhouse", "title": "This Old House", "category": "Marketing Channels", "subcategory": "Blogs", "similarity": 0.5871, "drivers": [ "N03", "P02", "P06", "E06", "P01" ] }, { "handle": "startrekonpplus", "title": "Star Trek on Paramount+", "category": "Marketing Channels", "subcategory": "TV Shows", "similarity": 0.5832, "drivers": [ "N03", "P01", "P06", "P02", "Q07" ] }, { "handle": "pretzelcrisps", "title": "Pretzel Crisps", "category": "Brands", "subcategory": "Food", "similarity": 0.573, "drivers": [ "N03", "P02", "P06", "N04", "A06" ] }, { "handle": "emeril", "title": "Emeril Lagasse", "category": "Celebrities and Influencers", "subcategory": "TV Personalities", "similarity": 0.567, "drivers": [ "N03", "P06", "A06", "P01", "J02" ] }, { "handle": "csx", "title": "CSX", "category": "Brands", "subcategory": "Travel", "similarity": 0.5542, "drivers": [ "N03", "P02", "P06", "N04", "P01" ] }, { "handle": "alroker", "title": "Al Roker", "category": "Celebrities and Influencers", "subcategory": "TV Personalities", "similarity": 0.5474, "drivers": [ "P02", "P06", "P01", "N03", "A02" ] }, { "handle": "jayleno", "title": "Jay Leno", "category": "Celebrities and Influencers", "subcategory": "Comedians", "similarity": 0.5446, "drivers": [ "N03", "P02", "N04", "P06", "A06" ] }, { "handle": "qvc", "title": "QVC", "category": "Marketing Channels", "subcategory": "TV Channels", "similarity": 0.5364, "drivers": [ "N03", "P02", "P01", "J02", "Q08" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: