遇见数据集

First Mover Advantage Dataset

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Databricks2025-09-09 收录
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**Overview** The First Mover Advantage Dataset provides comprehensive access to all businesses legal entities registered across all 50 U.S. states and Washington, D.C. It includes both historical registrations and net new business registrations updated monthly. This dataset is essential for identifying newly established businesses across the United States, as well as for maintaining visibility into the landscape of active, existing businesses. **Use cases** - Identify and engage newly formed businesses the moment they register, beating competitors to the door. - Compare your existing customer or prospect data against state business registrations to identify net-new opportunities and fill pipeline gaps. - Track business creation patterns to uncover emerging markets and shape product or service offerings. **Summary of Included Attributes** - **Company Data:** ZoomInfo Company ID, Corp File ID, Business Address, State of Incorporation, Date of Incorporation. Additional: Company Firmographic Data - **Officer Data:** ZoomInfo Company ID, Corp File ID, Officer Title, Contact Email Address, Contact Phone Number, Contact Address For more details, [contact ZoomInfo sales](https://www.zoominfo.com/go-to-market/first-mover-advantage-data-cube/). **Additional Insights** RevOps, and sales leaders can compare existing customer/prospect data against state business registrations to identify net-new opportunities, launch initial outreach and move to create additional pipeline. **Business impact** Having this data creates significant competitive advantage in building relationships, enabling businesses to more accurately, easily identify new business prospects and allows for first-in advantage for service/software providers (e.g. banking, legal, insurance, payroll, domains, web hosting, accounting, CRM, etc.).

提供机构:
ZoomInfo
搜集汇总
数据集介绍
First Mover Advantage Dataset 数据集图片
背景与挑战
背景概述
该数据集提供覆盖美国各州及华盛顿特区的企业注册信息,包含历史与每月更新的新注册数据。它主要用于及时识别新成立企业、比对现有客户发现商机,并支持追踪市场趋势以获取竞争优势。
以上内容由遇见数据集搜集并总结生成
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