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Understanding Lookalike Enrichment with Ocean.io | Clay

Understanding Lookalike Enrichment with Ocean.io

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Hey, I'm trying to understand how does the lookalike enrichment with ocean.io works ? I added some criteria around linkedin employee count but i still get results outside of my range

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LinkedIn employee count data in Clay may sometimes be inaccurate due to limitations from our data providers. The "associated member count" includes both current and former employees, as well as people who incorrectly claim association with a company. When you set criteria for employee count, you might get results outside your range because: 1. Our data providers don't use your active LinkedIn session or cookies to scrape live data 2. Some LinkedIn fields are only visible when logged in 3. There may be privacy restrictions set by LinkedIn or individuals For more accurate employee count data, you can use the "Get Employee Count by Criteria with People Data Labs" enrichment, which allows you to filter by role and country.
Source: Get Employee Count by Criteria with People Data Labs
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