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Best Methods for Accurate Market Sizing with Clay

Avatar of Danny L.Danny L.
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.Morning all. Who is using Clay to do market sizing and penetration, and what method have you found most accurate? using the pre defined industry categorisations, lookalikes, keywords? I have build off of lookalikes and then used AI to review each match to double check its relevance but still ending up with irrelevant or poor match companies in the ICP

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  • Avatar of Channeled
    Channeled
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    To improve the accuracy of market sizing and penetration in Clay using lookalikes, try these steps: 1. Start with a well-curated list of companies that match your ICP. 2. Use the Ocean.io integration to enrich your existing list with lookalikes: • Add the Ocean.io lookalikes column to your table. • Use company domain as the primary matching field. • Apply additional filters to refine results: • Exclude specific domains if needed. • Restrict lookalikes by country, company size, or industry. 3. Run the integration on a small sample (e.g., 10 rows) first to verify results before scaling. 4. Use our "write to table" feature to organize lookalike data: • Select relevant fields like company name, domain, similarity score, size, industry, and source company. 5. Review and refine the results, focusing on companies with higher similarity scores. By combining these methods and iterating on your filters, you can improve the relevance of your market sizing and penetration results.