Using a Store Dataset for Data Enrichment Opportunities

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Hi, we have a large dataset containing store names and addresses. Can we use this for data enrichment to obtain owner details, email IDs, phone numbers, and other missing information?

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Clay
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Yes, you can use your dataset of store names and addresses for enrichment in Clay. Here's how: 1. Import your list into a Clay table (you can use CSV import) 2. Find company domains for the stores first 3. Use Clay's waterfall enrichment to find owner details, emails, phone numbers and more 4. You can access 100+ data providers through Clay to find information like: • Phone numbers • Work emails • Company addresses • Owner details 5. For specific person enrichment, you can use providers like Datagma or Snov.io by providing the company domain and person's name
Sources: Intro to Clay 101: FETE Framework - Clay University Personalized outreach at scale that’s a win-win | Clay.com Enrich Person with Datagma Enrich Person from Email with Snov.io