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IDENTIFYING AND PROCESSING MARKETING LEADS THAT IMPACT A SELLER'S ENTERPRISE VALUATION

机译:识别和处理影响卖方企业估值的营销线索

摘要

Systems, methods and computer readable media for automated marketing decisions based on company valuation results derived from ensemble machine learning models include collecting potential customer data for a set of potential customers from a lead source and transmitting the potential customer data to a optimization system. An ensemble machine learning model that establishes a transaction value for each of the set of potential customers based on an enterprise valuation of the seller. A marketing action is the taken. The marketing action may include one or more of budgeting for a transaction with the lead source, targeting communications to members of the set of potential customers, accepting or rejecting members of the set of potential customers, or offloading members of the set of potential customers.
机译:用于基于从整体机器学习模型得出的公司估值结果进行自动营销决策的系统,方法和计算机可读介质,包括从潜在客户收集一组潜在客户的潜在客户数据,并将潜在客户数据传输到优化系统。集成机器学习模型,该模型基于卖方的企业估值为一组潜在客户中的每一个建立交易价值。采取了营销行动。营销动作可以包括以下一项或多项:与潜在客户进行交易的预算,针对与该组潜在客户的成员进行通信,接受或拒绝该组潜在客户的成员,或卸载该组潜在客户的成员。

著录项

  • 公开/公告号WO2020171857A1

    专利类型

  • 公开/公告日2020-08-27

    原文格式PDF

  • 申请/专利权人 HSIP INC.;

    申请/专利号WO2019US58017

  • 发明设计人 JAMES JP;PRABHAKARA SANDEEP;BUTTI HEMANT;

    申请日2019-10-25

  • 分类号G06N5/04;G06N20/20;G06Q10/06;G06Q30/02;G06Q30/06;G06Q40/02;

  • 国家 WO

  • 入库时间 2022-08-21 11:09:43

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