公开(公告)号：US20120036085A1

公开(公告)日：2012-02-09

申请号：US12851461

申请日：2010-08-05

申请人： Janmesh Dev SRIVASTAVA ,  Andris UMBLIJS ,  Chao WANG ,  Stephen Denis KIRKBY ,  Peter Charles KELLETT ,  Thoai Duy Khang TRAN ,  Dharmendra K. DUBEY

发明人： Janmesh Dev SRIVASTAVA ,  Andris UMBLIJS ,  Chao WANG ,  Stephen Denis KIRKBY ,  Peter Charles KELLETT ,  Thoai Duy Khang TRAN ,  Dharmendra K. DUBEY

IPC分类号： G06Q10/00 ,  G06F17/30 ,  G06Q30/00

CPC分类号： G06Q10/067 ,  G06Q30/02

摘要： A system is configured to determine aggregated social media variables that may be used for modeling. The system includes an information identifier module determining keywords and phrases. The system also includes an aggregator receiving information collected from social media applications using the keywords and phrases and determining values for social media variables from the collected information. The aggregator aggregates the social media variables based on the values and weightings of the social media variables.

摘要翻译： 系统配置为确定可用于建模的聚合社交媒体变量。 该系统包括确定关键词和短语的信息识别器模块。 该系统还包括收集从社交媒体应用程序使用关键字和短语收集的信息并从收集的信息确定社交媒体变量的值的聚合器。 聚合器基于社交媒体变量的值和权重来聚合社交媒体变量。

公开(公告)号：US20070106550A1

公开(公告)日：2007-05-10

申请号：US11483401

申请日：2006-07-07

申请人： Andris Umblijs ,  James Walker ,  Jeffrey Merrihue

发明人： Andris Umblijs ,  James Walker ,  Jeffrey Merrihue

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06Q10/0631 ,  G06Q30/0201 ,  G06Q30/0202

摘要： A method for identifying how market drivers affect sales performance data. The method includes accepting historical data that includes market data associated with a plurality of market drivers, and sales performance data relating to one or more products. The method also includes generating a model relating the market drivers and the sales performance data according to the historical data and a fitness function, including, selecting a subset of the market drivers, and estimating coefficients of the model characterizing a relationship between the selected market drivers and the sales data.

摘要翻译： 确定市场驱动因素如何影响销售业绩数据的方法。 该方法包括接受包括与多个市场驱动器相关联的市场数据的历史数据，以及与一个或多个产品相关的销售业绩数据。 该方法还包括根据历史数据和适应度函数产生与市场驱动因素和销售业绩数据相关的模型，包括选择市场驱动因素的子集，以及估计表征所选市场驱动者之间关系的模型系数 和销售数据。

公开(公告)号：US10332042B2

公开(公告)日：2019-06-25

申请号：US13201774

申请日：2010-02-17

申请人： Matthew Symons ,  Anatoly Roytman ,  Stephen Denis Kirkby ,  Andris Umblijs ,  Janmesh Srivastava ,  Michael J Williams

发明人： Matthew Symons ,  Anatoly Roytman ,  Stephen Denis Kirkby ,  Andris Umblijs ,  Janmesh Srivastava ,  Michael J Williams

IPC分类号： G06Q30/00 ,  G06Q10/04 ,  G06Q30/02

摘要： A method and system optimizes investments for each marketing channel of a multichannel marketing campaign. Past optimal investments are compared to current sales or profits for each marketing channel, and a new optimal investment is estimated for each marketing channel, which may be used as a marketing budget. A marketing dashboard is used to determine the new optimal investments for the marketing channels, and the new optimal investments are stored in a marketing database.

公开(公告)号：US20110320262A1

公开(公告)日：2011-12-29

申请号：US13201774

申请日：2010-02-17

申请人： Matthew Symons ,  Anatoly Roytman ,  Stephen Denis Kirkby ,  Andris Umblijs

发明人： Matthew Symons ,  Anatoly Roytman ,  Stephen Denis Kirkby ,  Andris Umblijs

IPC分类号： G06Q30/00

CPC分类号： G06Q10/04 ,  G06Q30/02 ,  G06Q30/0243 ,  G06Q30/0254

摘要： A method and system optimizes investments for each marketing channel of a multichannel marketing campaign. Past optimal investments are compared to current sales or profits for each marketing channel, and a new optimal investment is estimated for each marketing channel, which may be used as a marketing budget. A marketing dashboard is used to determine the new optimal investments for the marketing channels, and the new optimal investments are stored in a marketing database.

摘要翻译： 一种方法和系统优化了多渠道营销活动的每个营销渠道的投资。 过去的最佳投资与每个营销渠道的当前销售或利润进行比较，并估算每个营销渠道的新的最佳投资，这可能被用作营销预算。 营销信息板用于确定营销渠道的新的最佳投资，新的最佳投资存储在营销数据库中。

公开(公告)号：US20100211455A1

公开(公告)日：2010-08-19

申请号：US12707111

申请日：2010-02-17

申请人： Michael J. Williams ,  Andris Umblijs ,  Janmesh Srivastava ,  Stephen Denis Kirkby ,  Anatoly Roytman

发明人： Michael J. Williams ,  Andris Umblijs ,  Janmesh Srivastava ,  Stephen Denis Kirkby ,  Anatoly Roytman

IPC分类号： G06Q10/00 ,  G06Q30/00

CPC分类号： G06Q30/0243 ,  G06Q30/02 ,  G06Q30/0247

摘要： A system is configured to optimize an Internet marketing channel for a multichannel marketing campaign. The system includes an optimization model storage unit storing a plurality of optimization models for optimizing the Internet marketing channel. The system also includes a statement unit determining an estimated miniature profit and loss (P&L) for each item of the Internet marketing channel. The miniature P&L for each item links a potential investment in the item with estimated revenue and profit for the potential investment. A revenue response unit generates revenue response data for each item based on the miniature P&L for each item, and a profit response unit generates profit response data for each item based on the miniature P&L for each item. An efficiency frontier response unit generates efficiency frontier response data from the revenue response data and the profit response data, wherein the efficiency frontier response data identifies a point of diminishing returns for each item based on the investment amount in each item.

摘要翻译： 系统配置为优化多渠道营销活动的互联网营销渠道。 该系统包括存储用于优化因特网营销渠道的多个优化模型的优化模型存储单元。 该系统还包括确定互联网营销渠道每个项目的估计微型损益（P＆L）的报表单位。 每个项目的微型损益将项目的潜在投资与潜在投资的预计收入和利润联系起来。 收益回应单元根据每个项目的微型损益产生每个项目的收入回报数据，利润回报单元根据每个项目的微型损益产生每个项目的利润回报数据。 效率前沿响应单元根据收入响应数据和利润回答数据生成效率边界响应数据，其中效率边界响应数据基于每个项目中的投资金额来确定每个项目递减递减点。

公开(公告)号：US09147206B2

公开(公告)日：2015-09-29

申请号：US12851391

申请日：2010-08-05

申请人： Andris Umblijs

发明人： Andris Umblijs

IPC分类号： G06Q30/06 ,  G06N5/02

CPC分类号： G06Q30/06 ,  G06N5/025

摘要： A model optimization system is configured to determine quality of variables for model generation. A data storage stores input variables, quality metrics for the input variables, and weights for the quality metrics. The quality metrics describe sufficiency of data for the input variables and the data is provided for a plurality of regions. A scoring module determines a score for each region based on the input variables and the weighted quality metrics. An optimizer determines whether at least one of the input variables for a region is to be modified based on the scores, and determines whether the total score for the region is operable to be improved using a modified input variable.

摘要翻译： 模型优化系统被配置为确定模型生成的变量的质量。 数据存储存储输入变量，输入变量的质量度量和质量度量的权重。 质量度量表示输入变量的数据的充分性，并且为多个区域提供数据。 评分模块基于输入变量和加权质量度量来确定每个区域的得分。 优化器基于分数来确定是否要修改区域的输入变量中的至少一个，并且使用修改的输入变量确定区域的总分数是否可操作地被改进。

公开(公告)号：US08401944B2

公开(公告)日：2013-03-19

申请号：US12749756

申请日：2010-03-30

申请人： Andris Umblijs ,  Janmesh Dev Srivastava ,  Rahul Mahajan ,  Prarthna Agarwal Goel ,  Varun Rastogi ,  Chao Wang

发明人： Andris Umblijs ,  Janmesh Dev Srivastava ,  Rahul Mahajan ,  Prarthna Agarwal Goel ,  Varun Rastogi ,  Chao Wang

IPC分类号： G06Q40/00

CPC分类号： G06Q30/02 ,  G06Q10/063 ,  G06Q40/00

摘要： A hierarchal view preserving relationships between data is generated by storing information related to sales and investment. The information includes dimensions and each of the dimensions includes a level and each of the levels is described by variables. Relationships between the variables are also stored. A request for a hierarchy is received. The requested hierarchy includes a set of dimensions from the stored dimensions, a level for each dimension in the set, and a sequence of the dimensions or levels in the hierarchy. A computer system calculates values for the variables in the levels for the requested hierarchy using the stored relationships that are applicable to the variables in the levels. A view of the hierarchy is generated and includes the calculated values. The view also includes the dimensions or levels of the requested hierarchy in the sequence specified for the requested hierarchy.

摘要翻译： 通过存储与销售和投资相关的信息来生成保持数据之间的关系的层次视图。 信息包括维度，每个维度包括一个级别，每个级别都由变量描述。 变量之间的关系也被存储。 接收到对层次结构的请求。 所请求的层次结构包括来自存储维度的维度集合，集合中每个维度的级别以及层次结构中维度或级别的顺序。 计算机系统使用适用于级别中的变量的存储关系来计算所请求层级的级别中的变量的值。 生成层次结构的视图，并包含计算值。 该视图还包括为所请求的层次结构指定的序列中请求的层次结构的维度或级别。

公开(公告)号：US20110166980A1

公开(公告)日：2011-07-07

申请号：US12749756

申请日：2010-03-30

申请人： Andris UMBLIJS ,  Janmesh Dev SRIVASTAVA ,  Rahul MAHAJAN ,  Prarthna Agarwal GOEL ,  Varun RASTOGI ,  Chao Wang

发明人： Andris UMBLIJS ,  Janmesh Dev SRIVASTAVA ,  Rahul MAHAJAN ,  Prarthna Agarwal GOEL ,  Varun RASTOGI ,  Chao Wang

IPC分类号： G06Q10/00 ,  G06F3/048 ,  G06Q40/00

CPC分类号： G06Q30/02 ,  G06Q10/063 ,  G06Q40/00

摘要： A hierarchal view preserving relationships between data is generated by storing information related to sales and investment. The information includes dimensions and each of the dimensions includes a level and each of the levels is described by variables. Relationships between the variables are also stored. A request for a hierarchy is received. The requested hierarchy includes a set of dimensions from the stored dimensions, a level for each dimension in the set, and a sequence of the dimensions or levels in the hierarchy. A computer system calculates values for the variables in the levels for the requested hierarchy using the stored relationships that are applicable to the variables in the levels. A view of the hierarchy is generated and includes the calculated values. The view also includes the dimensions or levels of the requested hierarchy in the sequence specified for the requested hierarchy.

摘要翻译： 通过存储与销售和投资相关的信息来生成保持数据之间的关系的层次视图。 信息包括维度，每个维度包括一个级别，每个级别都由变量描述。 变量之间的关系也被存储。 接收到对层次结构的请求。 所请求的层次结构包括来自存储维度的维度集合，集合中每个维度的级别以及层次结构中维度或级别的顺序。 计算机系统使用适用于级别中的变量的存储关系来计算所请求层级的级别中的变量的值。 生成层次结构的视图，并包含计算值。 该视图还包括为所请求的层次结构指定的序列中请求的层次结构的维度或级别。

公开(公告)号：US20110055127A1

公开(公告)日：2011-03-03

申请号：US12851391

申请日：2010-08-05

申请人： Andris UMBLIJS

发明人： Andris UMBLIJS

IPC分类号： G06F15/18

CPC分类号： G06Q30/06 ,  G06N5/025

摘要： A model optimization system is configured to determine quality of variables for model generation. A data storage stores input variables, quality metrics for the input variables, and weights for the quality metrics. The quality metrics describe sufficiency of data for the input variables and the data is provided for a plurality of regions. A scoring module determines a score for each region based on the input variables and the weighted quality metrics. An optimizer determines whether at least one of the input variables for a region is to be modified based on the scores, and determines whether the total score for the region is operable to be improved using a modified input variable.

摘要翻译： 模型优化系统被配置为确定模型生成的变量的质量。 数据存储存储输入变量，输入变量的质量度量和质量度量的权重。 质量度量表示输入变量的数据的充分性，并且为多个区域提供数据。 评分模块基于输入变量和加权质量度量来确定每个区域的得分。 优化器基于分数来确定是否要修改区域的输入变量中的至少一个，并且使用修改的输入变量确定区域的总分数是否可操作地被改进。

公开(公告)号：US07873535B2

公开(公告)日：2011-01-18

申请号：US11483401

申请日：2006-07-07

申请人： Andris Umblijs ,  James Walker ,  Jeffrey Merrihue

发明人： Andris Umblijs ,  James Walker ,  Jeffrey Merrihue

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06Q10/0631 ,  G06Q30/0201 ,  G06Q30/0202

摘要： A method for automatically processing marketing and sales information. The method includes receiving data relating to one or more products, including data pertaining to marketing performance of the products and the marketing input drivers that influence the marketing performance. The method also includes analyzing the received data to determine response curves for the products, the response curves representing an optimal fit between a weighted combination of the input drivers of the products and their respective performance data. The method further includes adjusting the response curves based on feedback from one or more analysts to predict the future behavior of the response curves, determining an allocation of marketing resources based on the adjusted response curves, and presenting to a user the received data, the determined response curves, the adjusted response curves, and/or the marketing resources allocation.

摘要翻译： 一种自动处理营销和销售信息的方法。 该方法包括接收与一个或多个产品相关的数据，包括与产品的营销绩效有关的数据以及影响营销绩效的营销输入驱动器。 该方法还包括分析接收到的数据以确定产品的响应曲线，响应曲线表示产品的输入驱动器的加权组合与它们各自的性能数据之间的最佳拟合。 该方法还包括基于来自一个或多个分析者的反馈来调整响应曲线以预测响应曲线的未来行为，基于经调整的响应曲线确定营销资源的分配，以及向用户呈现所接收的数据，所确定的 响应曲线，调整后的响应曲线和/或营销资源分配。