遇见数据集

嘉兴市南湖区专精特新企业客户价值评估数据

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浙江省数据知识产权登记平台2023-12-16 更新2024-05-08 收录
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对嘉兴市南湖区专精特新企业进行综合评价有助于业务人员后续对于专精特新企业复审项目辅导等咨询辅导业务的开发工作,统筹指导咨询服务中介对全省各板块的业务开发工作。数据来源:企业自身搜集 得分规则:1.有官网+10分,没有不得分; 2.登记状态为存续、在业、歇业之外的,客户价值则直接为0分; 3.企业规模=XS (微型)的2分,=S (小型)的4分,=M (中型)的8分,=L (大型)的16分; 4.注册资本/100的计算结果为该项得分; 5.(成立日期-数据导出时间即2023年11月23日)/365; 6.跟进状态为“意向”的得5分,“暂时搁置”的得1分,“已拜访”的得10分,“初访”的得10分, “等待付款”的得20分,“成交”的得30分; 上述得分相加四舍五入后为最终的客户价值得分。

Conducting a comprehensive evaluation on the specialized, refined, differentiated and innovative enterprises in Nanhu District, Jiaxing City, will facilitate the subsequent development of consulting and coaching businesses such as the coaching for review and re-certification projects of such enterprises for business personnel, and coordinate and guide consulting service intermediaries to carry out business development across all sectors of the province. Data Source: Collected by the enterprise itself. Scoring Rules: 1. 10 points will be awarded if the enterprise has an official website, otherwise 0 points; 2. If the enterprise's registration status is not among "existing", "in operation" and "temporarily suspended", the customer value score will be directly set to 0; 3. 2 points for XS (micro-sized) enterprise scale, 4 points for S (small-sized), 8 points for M (medium-sized), and 16 points for L (large-sized); 4. The score for this item is the result of dividing the registered capital by 100; 5. The score for this item is calculated as (the number of days between the enterprise's establishment date and the data export date (November 23, 2023)) / 365; 6. Scoring based on follow-up status: 5 points for "Intention", 1 point for "Temporarily Shelved", 10 points for "Visited", 10 points for "First Visit", 20 points for "Waiting for Payment", and 30 points for "Closed Deal"; The final customer value score is obtained by summing the above scores and rounding to the nearest integer.

创建时间:
2023-11-28
搜集汇总
数据集介绍
嘉兴市南湖区专精特新企业客户价值评估数据 数据集图片
特点
该数据集包含嘉兴市南湖区120家专精特新企业的客户价值评估数据,每年更新一次。数据通过特定算法计算客户价值得分,用于业务开发和咨询辅导工作。
以上内容由遇见数据集搜集并总结生成
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