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65match
heyadshey.com
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0 co-citations4 shared tech2 shared categorymarketing-and-advertising
65match
elevatesocialhaus.com
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0 co-citations4 shared tech2 shared categorymarketing-and-advertising
59match
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55match
kelvinpoweagency.com
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heybadwolf.com
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55match
aeliamarketing.com
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0 co-citations4 shared tech1 shared categorymarketing-and-advertising
55match
4salemd.com
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55match
bozemanmediadesign.com
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0 co-citations4 shared tech1 shared categorymarketing-and-advertising
55match
cosmiccreativeagency.com
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55match
covecollective.com
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55match
elephanthousepr.com
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53match
jackweissassociates.com
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0 co-citations3 shared tech2 shared categorymarketing-and-advertising
53match
ficoremedia.com
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0 co-citations3 shared tech2 shared categorymarketing-and-advertising
50match
mamedia-lb.com
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0 co-citations2 shared tech2 shared categorymarketing-and-advertising
50match
2hourworkday.com
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adsmarketo.com
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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.