The Points Guy Audience Graph • Social Signal

The Points Guy's nearest audiences span business magazines, tech news, podcasts, and professional influencers — with no single neighbor pulling far ahead of the rest.

The shape is flat: the top score belongs to Harvard Business Review at 0.98, but Tim Ferriss (0.98) and Fast Company (0.98) sit within a fraction of a point, and the spread across all ten neighbors runs only from 0.98 down to 0.97. That compressed range means no structural anchor — the audience looks equally at home across a wide band of content types. Tallying the top 10 by subcategory: Magazines (Harvard Business Review, Fast Company), Websites (eMarketer), Podcasts and Radio (Freakonomics), Education (TED Talks), Technology (TED News), Professionals (Chris Anderson), Tech Personalities (Guy Kawasaki), News Publishers (Axios), and B2B (Comscore). That's eight distinct subcategories across ten neighbors — a genuinely mixed cluster.

The cross-kind finding is notable: The Points Guy is a Website, yet only one other Website appears in the top 10 — eMarketer at 0.98. The rest are business and tech media in other formats: magazines like Fast Company and Harvard Business Review, a podcast in Freakonomics, an education organization in TED Talks, and individual professionals and tech personalities like Chris Anderson and Guy Kawasaki. Travel and points content is entirely absent from the top 10 — the audience shape here is defined by business and technology media consumption, not by the site's own editorial niche.

This audience profile suggests a readership that moves fluidly across professional media formats rather than clustering around any single platform or content type.

Machine-Readable

Raw data

Attention graph /similar sample results (free):

https://graphs.socialsignal.ai/similar/thepointsguy

{ "handle": "thepointsguy", "title": "The Points Guy", "category": "Marketing Channels", "subcategory": "Websites", "resolved": "thepointsguy", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "harvardbiz", "title": "Harvard Business Review", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9831, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "tferriss", "title": "Tim Ferriss", "category": "Celebrities and Influencers", "subcategory": "Authors", "similarity": 0.9803, "drivers": [ "G01", "A02", "G03", "J01", "A01" ] }, { "handle": "fastcompany", "title": "Fast Company", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9802, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "emarketer", "title": "eMarketer", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.9778, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "freakonomics", "title": "Freakonomics", "category": "Marketing Channels", "subcategory": "Podcasts and Radio", "similarity": 0.9755, "drivers": [ "A02", "G01", "G03", "A01", "J01" ] }, { "handle": "tedtalks", "title": "TED Talks", "category": "Organizations", "subcategory": "Education", "similarity": 0.9734, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "tednews", "title": "TED News", "category": "Miscellaneous", "subcategory": "Technology", "similarity": 0.9734, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "tedchris", "title": "Chris Anderson", "category": "Celebrities and Influencers", "subcategory": "Professionals", "similarity": 0.9726, "drivers": [ "A02", "G01", "G03", "A01", "J01" ] }, { "handle": "axios", "title": "Axios", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9725, "drivers": [ "G01", "A02", "G03", "A01", "J01" ] }, { "handle": "guykawasaki", "title": "Guy Kawasaki", "category": "Celebrities and Influencers", "subcategory": "Tech Personalities", "similarity": 0.9711, "drivers": [ "G01", "A02", "G03", "J01", "A01" ] } ] }

Full Attention graph /similarity /affinity /demographics available with API key:

https://graphs.socialsignal.ai/v1/attention/similar/thepointsguy

The Points Guy

Nearest neighbors by audience shape

Raw data