Whooz - Whize Shopping Segments - Smart data-use for retailers based on demography, lifestyle and behaviour of all 8M NL households

For the Whize Shopping Segments, variables from four different categories were used that are important within retail: • Purchasing behaviour • Household spending • Motivation • Advertising sensitivity By combining these variables with our Whize characteristics and the Whize models, it sketches a clear picture of Dutch consumers and provides insights into the various segments. The Whize Shopping Segments will help you profile your target groups, both online and offline. Because the more you know about your target group, the better you can find, connect, activate and captivate them. These Segments will give you a clear answer to questions such as: • How often or how specifically does my customer or prospect shop online? • How often do they visit physical stores? • How much does a household spend on retail annually? • What motivation is behind the purchases? Do they pay attention to price, quality, brand or do they opt for sustainable products? • Is my customer sentive for advertising? SMART DATA-USE FOR CUSTOMER-SEGMENTED COMMUNICATION Whooz creates insights with the use of the best data sources and methodologies in which the focus is on registration data as much as possible. We market our data product under the brand name Whize. By combining these different sources and making use of a progressive statistical process, we are able to build a very detailed, accurate, current and reliable database of all 8 million Dutch households. Over the past thirty years, we have established an impressive track record as the leading supplier in the field of consumer segmentation. Thanks to our segmentation model Whize, we can deliver a comprehensive portfolio of segmentation solutions to help your company grow. Our goal is to provide you with tools and services that help you successfully implement marketing and segment strategies. Whether you want to focus on acquiring, managing or further developing profitable customer relationships. OPTIMISING CONSUMER INTERACTIONS Our consumer data is used by our customers to achieve three types of objectives, where we always start with the creation of insight, followed by the actual use of this insight in interactions with consumers. 1. Efficiently and effectively winning new (valuable) customers. This could include the targeted use of traditional channels such as TV advertising, Direct Mail and door-to-door distributions. In recent years, this professional field has also strongly developed digital and online, where, for example, online advertising campaigns can be targeted on the desired (new)target group or to offer relevant content to your website visitors. 2. Expanding and optimizing the value of existing customers. Relevancy and personalisation are key. In addition to the rich internal data, many of our customers also use Whize data to optimize communication with existing customers. After all, with just the use of internal data you will only create insight into the behaviour of the customer at your company and you won’t be able to see the whole picture. The Whize data provides an important bit of context information. This way, cross-sell and up-sell campaigns are optimized and customers with a high churn risk are retained as long as possible. 3. Location driven solutions In addition to online or digital interactions, many companies also have physical interactions with consumers, for example in stores or at event locations. By making optimal use of the Whize targeting data, the potential of each location is determined so that the best choices can be made. OUR OTHER DATA SOLUTIONS WHIZE SEGMENTATION Whize has been refined for many years using distinctive data from a wide variety of sources and is available at a range of increasingly specific geographic levels. The Netherlands is home to 8 million households in total, and Whize is designed to describe and classify them all. Our unique methodologies, the most significant data and the best specialists are what enable us to create and maintain this segmentation. The households are represented in 59 subsegments, which have been grouped into 11 segments. The result is a classification that sketches a clear picture of Dutch consumers in terms of their sociodemography, lifestyle and behaviour, and not least their spending patterns. This gives you the most accurate insight into the Dutch consumer. WHIZE CHARACTERISTICS Our database contains over 2,000 distinguishing features and offers a clear understanding of the specific socio-economic characteristics and lifestyle choices of all the households in the Netherlands. The underlying characteristics of the household, the Whize Characteristics are very popular with our customers. These are socio-economic, demographic and housing characteristics, such as income, age, household size, education, lenght of residence, etc. WHIZE LIFESTYLE PROPENSITIES In addition to the Whize segmentation and the Whize Characteristics, we have a database of more than 2,000 propensity models of customer behaviour. These are available in various modules and are , among other things, divided into product categories and (purchase) behaviour of the Dutch consumers. These are only available at household level. ABOUT OUR DATA Whize segmentation is always in full compliance with legislation and regulations across the board. In addition, our source data is always required to meet the following criteria: • Accuracy through availability at address or postcode level • Recency guaranteed by regular updates so that changes can be monitored • Differentiating power achieved by advancing the diversity within the data and identifying a wide range of consumer behaviour. Constructing the Whize segmentation encompassed the following four steps: • A detailed analysis of trends in Dutch society • Identification of the most suitable data sources, in full compliance with privacy legislation • Composition of a nationwide household database with distinctive dimensions and the application of a sophisticated and unique clustering technique • Extensive practical and market research to support validation and interpretation of the result We have developed a wide range of support materials to help you interpret our Whize segmentation model. These enable you to obtain optimum results using the information Whize generates.

搜集汇总

背景与挑战

背景概述

该数据集整合荷兰800万家庭的零售行为数据，通过购买行为、消费动机等四大维度构建消费者细分模型，为零售商提供精准的客户画像和营销策略支持。数据涵盖线上线下消费场景，支持新客户获取、现有客户价值优化及地理位置驱动的解决方案。