Mastercard SpendingPulse™

Mastercard SpendingPulse™ is a macroeconomic indicator of retail sales measuring in-store and online retail sales across all forms of payment. Mastercard SpendingPulse™ answers key business questions by using anonymized and aggregated sales activity in the Mastercard payments network, coupled with survey-based estimates for other payment types, such as cash and check. Key questions include:-

-How does my organization’s performance compare to that of the industry?<br/>-What are key upcoming sales days for consumers, and how can my organization best capitalize on them?<br/>-How are consumers spending across channels (online vs. in-store), and how will that change?<br/>-Based on historical performance, growth, density and volume of spend, where should we open a new location?

SpendingPulse™ insights enable organizations to look at sales estimates at the different geographic location granularities: county, DMA and state level. SpendingPulse™ industry sectors available include: Total Retail excluding Auto, Apparel, Department Stores, Electronics, Fuel & Convenience, Grocery, Home Furniture & Furnishings, Home Improvement, Jewelry, Lodging, Airlines, and Restaurants.

Field names are included below:

Geography Level (National, State, County, etc.); Geography (Name of Geography Level selected, e.g. California); Sector (Total Retail excl. Auto, Restaurants, Apparel, etc.); Date; Is Forecast (True or False if forecast data is available); Total Sales ($); Total YoY Change (%); Online Sales ($); Online YoY Change (%); In-store Sales ($); In-store YoY Change (%); % Online; % In-store.

All geographic and purchase channel data splits are internally consistent and sum to total. e.g., sum of all states = Total USA sales $ figure for same time periods.

If certain geographies are not reported in SpendingPulse™ data, it is because the available data did not meet Mastercard's aggregation standards.

搜集汇总

背景与挑战

背景概述

Mastercard SpendingPulse™ 是一个宏观经济指标，用于衡量全支付形式的零售销售额，通过聚合匿名支付数据提供行业和地理层级的销售洞察。数据集包含地理层级、行业、日期、销售额及同比变化等字段，支持分析线上与线下渠道表现。