美国跨境电商一桌四椅订单履约与成本利润全链路数据集

该数据集基于美国跨境电商平台 5件套餐桌椅（黑色玻璃桌+PU皮革椅） 的 236条真实订单，覆盖订单履约、GMV、采购成本、头程与尾程物流成本、广告支出、净利润及毛利率等全链路指标。在原始订单数据基础上，进一步计算了 履约完成率（100%）、平均客单价（238.3美元）、平均单位利润（72.7美元）、广告ROI（ROAS=7.18）、广告成本占比（15%）、单位物流成本占比（45%） 及 成本敏感性（广告成本上升10%利润下降4.8%） 等核心分析结果。该数据不仅能反映跨境电商家具类订单的财务表现与成本结构，还可为广告投放优化、供应链成本控制和利润风险评估提供直接参考，具备沉淀为企业数据资产的价值。This dataset is constructed using 236 real orders of a 5-piece dining set (black glass table + PU leather chairs) sourced from a U.S. cross-border e-commerce platform, and encompasses end-to-end metrics including order fulfillment, GMV, procurement costs, first-mile and last-mile logistics expenses, advertising expenditure, net profit, and gross margin. Based on the original order data, it further derives core analytical indicators including fulfillment completion rate (100%), average customer unit price (238.3 USD), average per-unit profit (72.7 USD), advertising ROI (ROAS=7.18), advertising cost proportion (15%), per-unit logistics cost proportion (45%), and cost sensitivity (a 10% increase in advertising costs results in a 4.8% reduction in profit). This dataset not only reflects the financial performance and cost structure of cross-border e-commerce furniture orders, but also offers direct references for advertising campaign optimization, supply chain cost control and profit risk assessment, holding the value of being accumulated as enterprise data assets.

搜集汇总

背景与挑战

背景概述

该数据集基于美国跨境电商平台236条真实的一桌四椅家具订单，全面覆盖订单履约、采购成本、物流费用、广告支出及利润等全链路信息，并计算了关键指标如100%履约完成率、238.3美元平均客单价和7.18广告ROAS。其特点在于提供了详细的成本结构分析和敏感性评估，例如物流成本占比约45%和广告成本上升10%导致利润下降4.8%，可直接用于企业运营决策和学术研究，支持广告优化、成本控制及风险管控。