公开(公告)号：US07328169B2

公开(公告)日：2008-02-05

申请号：US10947589

申请日：2004-09-22

申请人： Mark E. Temares ,  Alan B. Newman ,  Noor A. Menai

发明人： Mark E. Temares ,  Alan B. Newman ,  Noor A. Menai

IPC分类号： G06F17/30 ,  G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0204 ,  G06Q30/0224 ,  G06Q30/0234 ,  G06Q30/0241 ,  G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0631 ,  Y10S707/99933

摘要： A method and system for purchased-based segmentation of potential customers employs the use of actual, observed purchases instead of presumptions and correlations to improve the accuracy of segmentation and involves collecting empirical data for a client on actual purchasing behavior of a group of customers and applying statistical modeling techniques to the empirical purchasing behavior data to identify segments or clusters of the customers that exhibit similar purchasing propensity characteristics. Thereafter, the segments or clusters are further differentiated from one another according to other factors having a tendency to directly affect actual purchasing behavior of the customers within the segments or clusters, and potential customers are then identified according to a correlation with the segments or clusters for customized marketing.

摘要翻译： 针对潜在客户的采购分割方法和系统采用实际观察采购而不是假设和相关性来提高分割的准确性，并涉及收集客户对一组客户的实际购买行为的经验数据，并应用 统计建模技术用于经验购买行为数据，以识别展示类似购买倾向特征的客户的细分或集群。 此后，根据其他因素直接影响区段或群集内客户的实际购买行为的其他因素，区段或群集进一步彼此区分，然后根据与段或群集的相关性识别潜在客户，以便 定制营销。

公开(公告)号：US07966226B1

公开(公告)日：2011-06-21

申请号：US12010185

申请日：2008-01-22

申请人： Mark E. Temares ,  Alan B. Newman ,  Noor A. Menai

发明人： Mark E. Temares ,  Alan B. Newman ,  Noor A. Menai

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0204 ,  G06Q30/0224 ,  G06Q30/0234 ,  G06Q30/0241 ,  G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0631 ,  Y10S707/99933

摘要： A method and system for purchased-based segmentation of potential customers employs the use of actual, observed purchases instead of presumptions and correlations to improve the accuracy of segmentation and involves collecting empirical data for a client on actual purchasing behavior of a group of customers and applying statistical modeling techniques to the empirical purchasing behavior data to identify segments or clusters of the customers that exhibit similar purchasing propensity characteristics. Thereafter, the segments or clusters are further differentiated from one another according to other factors having a tendency to directly affect actual purchasing behavior of the customers within the segments or clusters, and potential customers are then identified according to a correlation with the segments or clusters for customized marketing.

摘要翻译： 针对潜在客户的采购分割方法和系统采用实际观察采购而不是假设和相关性来提高分割的准确性，并涉及收集客户对一组客户的实际购买行为的经验数据，并应用 统计建模技术用于经验购买行为数据，以识别展示类似购买倾向特征的客户的细分或集群。 此后，根据其他因素直接影响区段或群集内客户的实际购买行为的其他因素，区段或群集进一步彼此区分，然后根据与段或群集的相关性识别潜在客户，以便 定制营销。