Piperic Business Intelligence

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Sites similar to creneca.com

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1 co-citations2 shared tech2 shared categorymarketing-and-advertising

joaquinramirez.com

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

hanaassociates.com

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

advancedanalytics.tech

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

apexhubagency.com

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

1 co-citations2 shared tech1 shared categorybusiness

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

germansuarez.com

1 co-citations2 shared tech1 shared categorymarketing-and-advertising

bonddigitalworks.com

bond digital works

1 co-citations2 shared tech3 shared categoryadvertising-industry

1 co-citations2 shared tech0 shared categorycivil-engineering-industry

juliedengler.com

1 co-citations2 shared tech0 shared categorybusiness

1 co-citations2 shared tech0 shared categorypower-and-energy-industry

kanchanradios.com

1 co-citations2 shared tech0 shared categorytelecommunications-industry

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:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

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.