遇见数据集

Mastercard Audiences

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Snowflake2023-05-16 更新2024-05-01 收录
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Mastercard Audiences analyzes aggregated and anonymized consumer spending patterns to create standard or custom audience segments at the micro-geographic (i.e., Zip+4) level. Our customers can apply Audiences insights to their data sets to make those insights actionable. There are two types of Mastercard Audiences: 1. Mastercard Standard Audiences – Hundreds of off-the-shelf audiences based on aggregated and anonymized transaction data across different industries and including seasonal shopping behavior. a. Some examples include: - ZIP+4 - Online Food & Meal Delivery – Frequent Buyers - ZIP+4 - Online Shoppers – High Spenders - ZIP+4 - Likely to Be a Small Business – In Market - ZIP+4 - Luxury Retailers – High Spenders - ZIP+4 - Fast Fashion Apparel Buyers – High Spenders - ZIP+4 - Big Ticket Shoppers (Online) – Frequent Buyers - ZIP+4 - Affluent Shoppers - ZIP+4 - Brick and Mortar Shoppers - ZIP+4 - Luxury Travelers & Tourists 2. Mastercard Custom Audiences – Built-to-order audiences designed to a client’s specifications to align directly with their advertising strategy and based on layering the following attributes: - Transactions (e.g., amount, frequency, offline vs. online) - Date and Time (e.g., date range, time of day, weekend vs. weekday) - Geography (e.g., country, state/province, DMA, city, region) - Industry / Merchants (e.g., Merchant Category Codes (MCCs), custom aggregate set of industry merchants) The delivery timeline for custom segments is typically 2-3 weeks.

提供机构:
Mastercard
创建时间:
2023-05-02
搜集汇总
数据集介绍
Mastercard Audiences 数据集图片
背景与挑战
背景概述
Mastercard Audiences利用聚合匿名消费数据,在微观地理层面创建标准或定制受众细分,帮助客户将洞察转化为行动。标准受众提供数百种现成细分,涵盖不同行业和季节性行为;定制受众则按客户规格构建,基于交易、时间、地理和行业属性,通常交付周期为2-3周。
以上内容由遇见数据集搜集并总结生成
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