Predictive Geodemographics

对地理人口统计的许多批评之一是，它们是静态的-通常使用人口普查数据构建，一旦发布，它们就过时了，这是3年前人口的快照（这是人口普查机构发布人口普查数据所花费的平均时间）。下一步是使地理人口动态化-人们现在的真实面貌是什么，他们的特征或环境的哪些变化将使他们进入另一个部分？这对于及时沟通非常重要，例如在营销活动中。然而，如果考虑长期客户价值，那么消费者在三到五年后的样子就变得很重要了。确定个人与确定的社会轨迹，即贯穿一生的社会经济道路的联系的能力，是一个强有力的概念。使用新形式的数据，是否有可能为英国建立一个地理人口系统，通过类似CAMEO的层次结构提供预测路径，使我们的客户能够评估消费者的终身价值，并为消费者提供正确的及时信息组合，以做出更好的决策？

One of the many criticisms of geodemographics is that they are static - typically build using census data, they are out of date as soon as they are released, a snap shot of what the population was like 3 years previously (this is, on average, the time taken for census agencies to release census data). The next step is to make geodemographics dynamic - what do people truly look like now, and what changes in their characteristics or circumstances will move them into another segment? This is important for timely communication, in for example, marketing activities. However if long-term customer value is considered, it is what the consumer will look like three or five years hence that becomes important. The ability to identify the association of individuals with a defined social trajectory, a socio-economic path through life, is a powerful concept. Using new forms of data, is it possible to build a geodemographic system for the UK, that provides a predictive path through a CAMEO-like hierarchy, to enable our customers to evaluate consumers' lifetime value, and also serve up the right mix of timely information for consumers to make better decisions?