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Optimizing CSV for Clay: Essential Data Points for Enrichment
Hi everyone, I've conducted research to identify target companies that align with my ideal customer profile, and I'm building a CSV to import into Clay for enrichment. My goal is to enhance company data in Clay and then use its features to find relevant contacts. My Company Research: I've identified a set of target companies and gathered some basic information on each. Now, I'm focused on structuring my CSV for optimal enrichment and contact discovery within Clay. Current CSV Columns: My CSV currently includes basic identifiers for each company:
Company Name
Company Website
Company LinkedIn
Company Location
Questions:
What additional company-level data points should I include in my CSV that Clay can effectively enrich? I'm starting with basic identifiers, but I'm unsure what other fields would be valuable to include at this stage. For example, would it be helpful to include industry codes, estimated employee counts, or social media handles?
Any suggestions for organizing and formatting my CSV to maximize the effectiveness of Clay's enrichment features?
Goal: I want to leverage Clay's enrichment features to gain a deeper understanding of each company, including details like [mention specific enrichments, e.g., technology used, financial information, news updates, social media activity]. This enriched data will then be used to identify and engage with relevant contacts at these companies using Clay's built-in tools. Thanks in advance for your help!
