CROSS-MEDIA ATTRIBUTION MODEL FOR ALLOCATION OF MARKETING RESOURCES
    1.
    发明申请
    CROSS-MEDIA ATTRIBUTION MODEL FOR ALLOCATION OF MARKETING RESOURCES 审中-公开
    用于分配市场资源的跨媒体配置模型

    公开(公告)号:US20130035975A1

    公开(公告)日:2013-02-07

    申请号:US13204585

    申请日:2011-08-05

    IPC分类号: G06Q10/06

    CPC分类号: G06Q30/02

    摘要: A software facility that analyzes consumer interactions with one or more marketing campaigns and the results of those interactions to generate a cross-media or cross-channel attribution model representing the true impact of marketing resource allocation decisions is provided. The facility collects, from a plurality of sources, information representing consumer interactions with marketing campaigns and any results of those interactions. The facility aggregates the information to assess or determine the behavior of consumers with respect to different marketing campaigns and marketing channels. The facility analyzes the information according to varying depths or levels of channel granularity to generate models representative of the true impact of resources allocated to each channel or sub-channel on the performance or effectiveness of the marketing campaign. The facility or other processes may use the generated models to inform future marketing resource allocation decisions.

    摘要翻译: 提供了一个分析消费者与一个或多个营销活动的互动的软件设施,并提供了这些交互的结果,以生成代表营销资源分配决策的真正影响的跨媒体或跨渠道归因模型。 该设施从多个来源收集代表与营销活动的消费者互动的信息以及这些互动的任何结果。 该设施聚合信息,以评估或确定消费者在不同营销活动和营销渠道方面的行为。 该设施根据信道粒度的不同深度或级别分析信息,以生成代表分配给每个渠道或子渠道的资源对营销活动的绩效或有效性的真实影响的模型。 设施或其他流程可以使用生成的模型来通知未来的营销资源分配决策。

    Automated specification, estimation, discovery of causal drivers and market response elasticities or lift factors
    4.
    发明授权
    Automated specification, estimation, discovery of causal drivers and market response elasticities or lift factors 有权
    自动规范,估计,发现因果驱动因素和市场反应弹性或提升因素

    公开(公告)号:US08468045B2

    公开(公告)日:2013-06-18

    申请号:US13544871

    申请日:2012-07-09

    IPC分类号: G06Q30/00 G06Q10/00

    摘要: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

    摘要翻译: 在一些实施例中,提供了使用本文中其他地方讨论的框架来自动指定模型,弹性估计和驾驶者发现的方法。 该设施首先在利润优化,数量或收入目标,新客户获取,客户保留,钱包份额和加售方面获得客户,业务和/或品牌目标。 结合这些目标,该设施获得与规划时间范围,市场,地理位置,贸易渠道和客户细分相关的横截面元数据。 综合起来,目标和元数据定义了数据堆栈的结构以及需要的需求生成方程的数量。

    AUTOMATED DECISION SUPPORT FOR PRICING ENTERTAINMENT TICKETS
    5.
    发明申请
    AUTOMATED DECISION SUPPORT FOR PRICING ENTERTAINMENT TICKETS 审中-公开
    自动化决策支持定价娱乐票

    公开(公告)号:US20100042477A1

    公开(公告)日:2010-02-18

    申请号:US12542516

    申请日:2009-08-17

    CPC分类号: G06Q30/02 G06Q10/02

    摘要: A facility for automatically determining a recommended price for an entertainment event ticket is described. The facility determines a first group of attributes of the entertainment event ticket. For each of a second group of attributes selected from the determined first group of attributes, the facility applies to the attribute a lift factor determined for the attribute to obtain a quantitative measure of the effect of the attribute. The facility then combines the obtained quantitative measures of attribute effects to obtain a recommended price for the entertainment event ticket.

    摘要翻译: 描述用于自动确定娱乐事件票的推荐价格的设施。 该设施确定娱乐事件票的第一组属性。 对于从所确定的第一组属性中选择的第二组属性中的每一个,设备向属性应用为属性确定的升力因子,以获得对该属性的影响的定量测量。 然后,该设施将获得的属性效应的定量测量结合起来,以获得娱乐活动票的推荐价格。

    AUTOMATED SPECIFICATION, ESTIMATION, DISCOVERY OF CAUSAL DRIVERS AND MARKET RESPONSE ELASTICITIES OR LIFT FACTORS
    8.
    发明申请
    AUTOMATED SPECIFICATION, ESTIMATION, DISCOVERY OF CAUSAL DRIVERS AND MARKET RESPONSE ELASTICITIES OR LIFT FACTORS 有权
    自动化规范,估算,发现原动力和市场反应弹性或提升因素

    公开(公告)号:US20120316920A1

    公开(公告)日:2012-12-13

    申请号:US13544871

    申请日:2012-07-09

    IPC分类号: G06Q30/02

    摘要: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

    摘要翻译: 在一些实施例中,提供了使用本文中其他地方讨论的框架来自动指定模型,弹性估计和驾驶者发现的方法。 该设施首先在利润优化,数量或收入目标,新客户获取,客户保留,钱包份额和加售方面获得客户,业务和/或品牌目标。 结合这些目标,该设施获得与规划时间范围,市场,地理位置,贸易渠道和客户细分相关的横截面元数据。 综合起来,目标和元数据定义了数据堆栈的结构以及需要的需求生成方程的数量。

    Automated specification, estimation, discovery of causal drivers and market response elasticities or lift factors
    9.
    发明授权
    Automated specification, estimation, discovery of causal drivers and market response elasticities or lift factors 有权
    自动规范,估计,发现因果驱动因素和市场反应弹性或提升因素

    公开(公告)号:US08244571B2

    公开(公告)日:2012-08-14

    申请号:US12609440

    申请日:2009-10-30

    IPC分类号: G06Q30/00

    摘要: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

    摘要翻译: 在一些实施例中,提供了使用本文中其他地方讨论的框架来自动指定模型,弹性估计和驾驶者发现的方法。 该设施首先在利润优化,数量或收入目标,新客户获取,客户保留,钱包份额和加售方面获得客户,业务和/或品牌目标。 结合这些目标,该设施获得与规划时间范围,市场,地理位置,贸易渠道和客户细分相关的横截面元数据。 综合起来,目标和元数据定义了数据堆栈的结构以及需要的需求生成方程的数量。

    AUTOMATICALLY PRESCRIBING TOTAL BUDGET FOR MARKETING AND SALES RESOURCES AND ALLOCATION ACROSS SPENDING CATEGORIES
    10.
    发明申请
    AUTOMATICALLY PRESCRIBING TOTAL BUDGET FOR MARKETING AND SALES RESOURCES AND ALLOCATION ACROSS SPENDING CATEGORIES 审中-公开
    自动定义营销和销售资源的总预算和分配类别

    公开(公告)号:US20110010211A1

    公开(公告)日:2011-01-13

    申请号:US12541769

    申请日:2009-08-14

    IPC分类号: G06Q10/00

    CPC分类号: G06Q30/02 G06Q30/0202

    摘要: In one embodiment, a computer-readable medium is provided for performing a method for automatically prescribing a budget for sales expenses including, determining lift factors for sales expenses and other promotion activities, establishing a relationship between the determined lift factors, budgets for the promotion activities to which the lift factors correspond, and a projected value of the distinguished business outcome; and using the established relationship to solve for a value of the sales expenses budget that tends to optimize the projected value of the distinguished business outcome in accordance with the selected optimization.

    摘要翻译: 在一个实施例中,提供了一种计算机可读介质,用于执行用于自动处方销售费用的预算的方法,包括确定销售费用和其他促销活动的升幅因素,建立所确定的提升因素之间的关系,促销活动的预算 电梯因素对应的,以及尊贵业务成果的预计价值; 并使用既定关系来解决销售费用预算的价值,该价值倾向于根据选定的优化优化尊贵业务成果的预计价值。