Understanding Lookalike Search in Company Table Based on Domains

Ravi P. · 2025-02-13 10:37:12.705454+00

how does the lookalike in company table search work? like if we put in domains, what is clay basing the lookalikes on?

Understanding Lookalike Search in Company Table Based on Domains | Clay

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Our company lookalike search offers two main approaches: 1. As a source for creating new lists: • You can input up to 10 domains as seed companies • Uses Ocean.io's powerful discovery engine and algorithms to find similar companies 2. As an enrichment for existing company lists: • Add the Ocean.io integration to your existing table • Use company domains as inputYou can refine the lookalike search using various filters: ** Company size parameters ** Industry categories ** Geographic location ** Specific country selection ** Domain exclusionsAdditionally, you can start lookalike searches based on: ** Company descriptions and relevant endpoints * Keywords or phrases that match certain company profilesThe system uses Ocean.io's extensive database and advanced algorithms to identify companies with similar characteristics to your target companies. Sources: Find Company Lookalikes [Clay 101] - Clay University Find Lookalike Companies with Ocean.io with Ocean.io Find Company overview | Documentation | Clay University
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Ravi P.
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so after putting domains in, what is clay using about them to determine lookalikes?
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When determining lookalike companies, we use Ocean.io's powerful discovery engine and advanced algorithms to analyze the input domains. The system identifies companies with similar characteristics based on various criteria that you can refine, including: • Industry categories• Company size parameters• Geographic location• Country specificationsThe Ocean.io integration leverages their extensive database to find companies that match these characteristics of your seed companies. Sources: Find Lookalike Companies with Ocean.io with Ocean.io Find Lookalike Companies with Ocean.io with Ocean.io
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Is that what you were looking for?
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Hi Ravi P.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

Channeled
APP
·
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Our company lookalike search offers two main approaches: 1. As a source for creating new lists: • You can input up to 10 domains as seed companies • Uses Ocean.io's powerful discovery engine and algorithms to find similar companies 2. As an enrichment for existing company lists: • Add the Ocean.io integration to your existing table • Use company domains as inputYou can refine the lookalike search using various filters: ** Company size parameters ** Industry categories ** Geographic location ** Specific country selection ** Domain exclusionsAdditionally, you can start lookalike searches based on: ** Company descriptions and relevant endpoints * Keywords or phrases that match certain company profilesThe system uses Ocean.io's extensive database and advanced algorithms to identify companies with similar characteristics to your target companies. Sources: Find Company Lookalikes [Clay 101] - Clay University Find Lookalike Companies with Ocean.io with Ocean.io Find Company overview | Documentation | Clay University
Channeled
APP
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Was that helpful?
Ravi P.
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so after putting domains in, what is clay using about them to determine lookalikes?
Channeled
APP
·
·
When determining lookalike companies, we use Ocean.io's powerful discovery engine and advanced algorithms to analyze the input domains. The system identifies companies with similar characteristics based on various criteria that you can refine, including: • Industry categories• Company size parameters• Geographic location• Country specificationsThe Ocean.io integration leverages their extensive database to find companies that match these characteristics of your seed companies. Sources: Find Lookalike Companies with Ocean.io with Ocean.io Find Lookalike Companies with Ocean.io with Ocean.io
Channeled
APP
·
·
Is that what you were looking for?
Channeled
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Hi Ravi P.! This thread was recently closed by our Support team. If you have a moment, please share your feedback: