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Bitcoin Magazine

Marketing Channels
Magazines
Playground →Docs

Bitcoin Magazine's nearest audiences span an unusually wide range of entity types — news publishers, TV shows, finance brands, fashion, and healthcare — with no single neighbor pulling far ahead of the rest. The top score belongs to Tech Insider at 0.85, followed closely by Wells Fargo at 0.85 and Project Runway at 0.85, a spread that signals a flat distribution rather than any concentrated pull.

The subcategory mix across the top 10 is notably cross-kind. Bitcoin Magazine is a Magazine, yet only one other Magazine appears in the top 10 — Newsweek at 0.80. The remaining nine neighbors are drawn from Websites (Tech Insider, 0.85), Banks (Wells Fargo, 0.85), TV Shows (Project Runway, 0.85; Veep, 0.84), News Publishers (Apple News, 0.85; Starbucks News, 0.83), Technology brands (Amazon News, 0.84), Healthcare (Moderna, 0.83), Politicians (Deb Haaland, 0.82), and Fashion (Banana Republic, 0.82). The thematic anchor of Bitcoin — cryptocurrency and finance — is barely visible in the top 10 similarity data; Bitcoin itself appears only at position 15 (0.81), and CoinDesk at position 31 (0.78).

What this flat, cross-kind shape reveals is that Bitcoin Magazine's audience composition resembles a broad, mainstream media consumer profile more than a specialist crypto readership — at least by the measure of audience shape.

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": "bitcoinmagazine", "title": "Bitcoin Magazine", "category": "Marketing Channels", "subcategory": "Magazines", "resolved": "bitcoinmagazine", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "techinsider", "title": "Tech Insider", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.852, "drivers": [ "N03", "A02", "G01", "E06", "G03" ] }, { "handle": "wells-fargo", "title": "Wells Fargo", "category": "Financial", "subcategory": "Banks", "similarity": 0.8507, "drivers": [ "N03", "A02", "J02", "J04", "G03" ] }, { "handle": "projectrunway", "title": "Project Runway", "category": "Marketing Channels", "subcategory": "TV Shows", "similarity": 0.8475, "drivers": [ "N03", "J02", "A02", "J04", "G01" ] }, { "handle": "applenews", "title": "Apple News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8469, "drivers": [ "N03", "A02", "G03", "G01", "E06" ] }, { "handle": "amazonnews", "title": "Amazon News", "category": "Brands", "subcategory": "Technology", "similarity": 0.8402, "drivers": [ "N03", "G03", "A02", "E06", "G01" ] }, { "handle": "veephbo", "title": "Veep", "category": "Marketing Channels", "subcategory": "TV Shows", "similarity": 0.8381, "drivers": [ "N03", "A02", "G01", "G03", "J04" ] }, { "handle": "moderna_tx", "title": "Moderna", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.8284, "drivers": [ "N03", "G03", "A02", "G01", "J04" ] }, { "handle": "starbucksnews", "title": "Starbucks News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8274, "drivers": [ "N03", "J02", "G03", "J04", "A02" ] }, { "handle": "deb4congressnm", "title": "Deb Haaland", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.8225, "drivers": [ "N03", "A02", "G03", "G01", "J04" ] }, { "handle": "bananarepublic", "title": "Banana Republic", "category": "Brands", "subcategory": "Fashion", "similarity": 0.818, "drivers": [ "N03", "A02", "G01", "G03", "I01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: