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Johnson & Johnson

Brands
Healthcare
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Johnson & Johnson's ten nearest neighbors split cleanly between two subcategories — Healthcare brands and B2B services — with a secondary thread of Tech Personalities running through the set.

Similarity here measures how closely two entities' audience compositions resemble each other. The shape is flat: scores run from 0.97 down to 0.94 across the top 10, with no single neighbor pulling sharply ahead of the rest. Merck leads at 0.97, followed by Roche (0.95), Novartis (0.95), and Pfizer Inc. (0.95) — four pharmaceutical peers occupying the top four positions. That cluster is expected. What's more notable is what fills positions five through ten: Accenture (0.95), Marc Benioff (0.94), GSK (0.94), AstraZeneca (0.94), Genentech (0.94), and IBM (0.94). Two of those ten are B2B services brands; one is a Tech Personality. The audience that follows Johnson & Johnson also follows enterprise consulting and tech leadership at nearly the same rate it follows rival pharma companies.

Tallying the top 10 by subcategory: six are Healthcare, two are B2B, one is a Tech Personality, and one is B2B. The cross-kind presence of Accenture, Benioff, and IBM — sitting shoulder-to-shoulder with Merck and Roche — signals that this audience is oriented toward professional and institutional contexts, not just sector-specific ones.

The flat shape, compressed into a 0.03-point band across all ten neighbors, reflects an audience with broad professional overlap rather than a tight niche identity.

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": "jnjnews", "title": "Johnson & Johnson", "category": "Brands", "subcategory": "Healthcare", "resolved": "jnjnews", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "merck", "title": "Merck", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.967, "drivers": [ "A06", "A03", "G01", "A02", "A01" ] }, { "handle": "roche", "title": "Roche", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9542, "drivers": [ "A06", "A03", "G01", "A01", "A02" ] }, { "handle": "novartis", "title": "Novartis", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9533, "drivers": [ "A06", "A03", "G01", "A02", "A01" ] }, { "handle": "pfizer", "title": "Pfizer Inc.", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9467, "drivers": [ "A06", "A02", "G01", "A03", "A01" ] }, { "handle": "accenture", "title": "Accenture", "category": "Brands", "subcategory": "B2B", "similarity": 0.945, "drivers": [ "A06", "A02", "G01", "A03", "A01" ] }, { "handle": "benioff", "title": "Marc Benioff", "category": "Celebrities and Influencers", "subcategory": "Tech Personalities", "similarity": 0.9449, "drivers": [ "A06", "G01", "A02", "A01", "A03" ] }, { "handle": "gsk", "title": "GSK", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9447, "drivers": [ "A06", "G01", "A03", "G03", "A02" ] }, { "handle": "astrazeneca", "title": "AstraZeneca", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9438, "drivers": [ "A06", "A03", "G01", "A01", "A02" ] }, { "handle": "genentech", "title": "Genentech", "category": "Brands", "subcategory": "Healthcare", "similarity": 0.9437, "drivers": [ "A06", "A03", "G01", "A02", "A01" ] }, { "handle": "ibm", "title": "IBM", "category": "Brands", "subcategory": "B2B", "similarity": 0.9402, "drivers": [ "A06", "A03", "G01", "A02", "A01" ] } ] }
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