平台会员使用麦当劳点餐省钱数据集

核心是构建一个以会员为主体的、基于官方价格的“可量化省钱金额”计算体系。
省钱基准定义：
以麦当劳门店堂食菜单价或官方APP原价作为计算基准，这是用户普遍认知中的“标准价格”。
省钱金额计算模型：
单次省钱金额 = (基准价 - 平台渠道实际支付价)。
累计省钱金额 = ∑所有通过平台在麦当劳下单的省钱金额。
数据记录与整合：
通过API对接或订单数据回传，记录每笔交易的商品明细、基准总价、实付总价、下单门店、下单时间。
为每个会员生成麦当劳消费档案，包括总订单数、总省钱额、偏好商品等。
关键指标：
会员渗透率：平台会员中使用过麦当劳点餐功能的比例。
会员月均下单频次：衡量该功能对会员活跃度的贡献。
客单价提升率：对比使用优惠前后，会员的单笔消费金额变化。

The core of this dataset is to build a member-centric quantifiable savings calculation system based on official McDonald's prices.

### Savings Benchmark Definition
The calculation benchmark is the dine-in menu price at McDonald's physical stores or the original price on the official McDonald's mobile app, which is the "standard price" widely recognized by users.

### Savings Amount Calculation Model
Single-time savings amount = (Benchmark Price - Actual Payment Price via Platform Channels)
Cumulative savings amount = ∑ Savings amounts from all McDonald's orders placed through the platform

### Data Recording and Integration
Record the product details, total benchmark price, total actual payment amount, order store, and order timestamp of each transaction via API integration or order data callback. Generate a personalized McDonald's consumption profile for each member, including total number of orders, total savings amount, preferred products, and other relevant information.

### Key Indicators
1. Member Penetration Rate: The proportion of platform members who have used the McDonald's ordering function.
2. Average Monthly Order Frequency of Members: A metric to evaluate the contribution of this ordering function to member activity.
3. Average Order Value (AOV) Increase Rate: Compare the changes in the per-order consumption amount of members before and after using the platform's discounts.

搜集汇总

背景与挑战

背景概述

该数据集规模为8.13GB，每日更新，通过协议获取，聚焦于平台会员在麦当劳消费的省钱行为分析。它用于强化会员忠诚度、实现个性化推荐和评估品牌合作效果，核心算法基于官方价格计算省钱金额，量化会员节省情况。