United States Consumer Behavior Database

The Consumer Behavior database is derived from an analysis of ‘doublebase’ survey data using geodemographic market segmentation. Each of the approximately 40,000 records in the survey is geocoded then assigned the geodemographic market segment code of the block group. The results are then summarized for each variable over the sixty-eight segments, in effect providing the average value for each market segment. For example, a variable such as “Shopped at Macy’s” is computed by summarizing the records for each segment as a yes/no response, then finding the average percentage of households in each segment who shopped at Macy’s. This is often referred to as a profile. The profile is then applied to geographic areas by making the assumption that households in demographically similar neighborhoods will tend to have similar consumption patterns as a result of their similar economic means, life stage, and other characteristics. The result is a series of estimates for geographic areas which measure the relative propensity of consumers in each geographic area to shop at particular stores, own various household items, and engage in activities. Consumer Behavior Categories include; • Apparel • Appliances • Attitudes and Organizations • Advertising • Media Advertising • Media Attitudes • Automobiles • Buying Habits • Consumer Confidence • Financial • Food • Health • Intended Purchases • Political Outlook • Public Activities • Sports • Technology • Vacations • Automotive • Baby • Beverages • Computer • Electronics • Family Restaurants • Fast Food and Drive-In Restaurants • Financial • Groceries • Health & Beauty • Health & Medical • Home Furnishings and Equipment • Insurance • Internet • Leisure • Media Radio • Media Read • Media Television • Pets • Shopping • Sports • Telephone • Travel • Video

搜集汇总

背景与挑战

背景概述

该数据集基于'双基'调查的地理人口市场细分分析，通过对约4万条记录进行地理编码和细分归类，汇总出68个细分市场的平均消费行为（如在特定商店购物的百分比）。它假设人口相似区域消费模式相近，用于估计地理区域消费者在服装、汽车、技术等广泛类别中的消费倾向。