Retail Data

Merkle is a data aggregator. We take an analytic quantitative approach leveraging our Data Valuation Lab, a rigorous analytical framework used to evaluate and bring together data sources from across the entirety of the data marketplace. DataSource™ merges more than 40 distinct data inputs selected from a field of several hundred providers, tested over the 25-year history of the product. For each data category, Merkle leverages the Data Valuation Lab to isolate the best source of data on the market and supplement it with additional inputs to maximize coverage and consensus, ultimately resulting in a superior solution. Merkle grades this work based on a battery of statistical measures and continuous input from Merkle's acclaimed analytics team and performance marketer clients to optimize our offering. Because of this unyieldingly rigorous methodology, DataSource™ consistently outperforms competitive offerings based on back-testing and in-market results. Also built using our proprietary Data Valuation Lab process to assess and bring together industry-leading data are Merkle's B2B Connect and specialty data products, such as Merkury Life Events.

Sample Tables Include:
-Premium Channel
-DataSource™ Core
-Customer Propensity Scores
-Premium Lifestyle

Sample Fields Include:
-Apparel Accessories
-Footwear
-Pet Products (propensity)
-Various Retailer Propensity Models
Best Buy (propensity to shop at)
Sam’s club (propensity to shop at)
Rite Aid (propensity to shop at)
CVS (propensity to shop at)
-Food and Beverages
-Golf
-Wealth Rating

搜集汇总

背景与挑战

背景概述

Retail Data是由Merkle通过Data Valuation Lab框架整合超过40种数据源构建的数据集，经过长期测试和优化，在零售领域表现优异。它包含多个示例表和字段，如顾客倾向性评分和各类零售商品类别，用于支持零售分析和市场预测。