Scanner Consumer Packaged Goods (CPG) Data

Track share of shelf, predict revenue surprises, and drill down into brand and category level performance by household demography across thousands of brands and hundreds of manufacturers.

Scanner Consumer Packaged Goods (CPG) data is sourced from thousands of retail stores and millions of underlying US households across grocery and drugstore chains. Available exclusively to investors.

USE CASES
-Cohort analyses
-Company, brand and category sales, units & pricing
-Earnings predictions
-Household demographics

SAMPLE TABLES AND FIELDS (Not comprehensive)
-aggregated_brand_sales: time period, parent manufacturer, category, brand, quantity, transaction count, amount
-household_brand_sales: time period, household identifier, category, brand, quantity, transaction count, amount
-demographic_mapping: household identifier, time period, age, child count, education level, ethnicity, gender, household size, income, language, occupation, pet ownership
-parent_manufacturer_mapping: parent manufacturer, ownership structure, ticker
-aggregated_brand_sales_tagged: transaction identifier, time period, company, ticker, FIGI, brand, category, quantity, amount, transaction count
-backtests: time period, company, ticker, FIGI, segment, quarter, backtest metric, reported metric, capture rate

搜集汇总

背景与挑战

背景概述

该数据集专为投资者设计，通过收集自数千家零售店和数百万美国家庭的扫描数据，用于追踪货架份额、预测收入意外，并基于家庭人口统计深入分析品牌与类别表现。其应用包括队列分析、销售与定价评估、收益预测等，并提供品牌销售、家庭交易、人口统计映射等样本表字段支持分析。