电商浏览量和销量数据
收藏阿里云天池2026-06-09 更新2024-03-07 收录
下载链接:
https://tianchi.aliyun.com/dataset/132865
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资源简介:
国内某品牌在某电商平台上的浏览量、销量等相关数据。
数据的起止范围:从2016-06-01到2021-11-05每1天对应1条记录。
数据字段:日期,浏览量,浏览量环比,访客数,访客数环比,人均浏览量,人均浏览量环比,平均停留时间,平均停留时间环比,跳失率,跳失率环比,成交客户数,成交客户数环比,成交单量,成交单量环比,成交金额,成交金额环比,客单价,客单价环比,成交商品件数,成交商品件数环比,成交转化率,成交转化率环比,下单客户数,下单客户数环比,下单单量,下单单量环比,下单金额,下单金额环比,下单商品件数,下单商品件数环比,下单转化率,下单转化率环比,下单成交转化率,下单成交转化率环比。
This dataset contains relevant e-commerce operational metrics such as page views and sales volume for a domestic brand on a specific e-commerce platform. The dataset includes one record per day covering the period from June 1, 2016 to November 5, 2021. The data fields are as follows: date, page views, day-on-day growth rate of page views, number of unique visitors, day-on-day growth rate of unique visitors, page views per visitor, day-on-day growth rate of page views per visitor, average dwell time, day-on-day growth rate of average dwell time, bounce rate, day-on-day growth rate of bounce rate, number of paying customers, day-on-day growth rate of paying customers, number of transaction orders, day-on-day growth rate of transaction orders, transaction amount, day-on-day growth rate of transaction amount, average transaction value per customer, day-on-day growth rate of average transaction value per customer, total number of transactional goods, day-on-day growth rate of total transactional goods, transaction conversion rate, day-on-day growth rate of transaction conversion rate, number of ordering customers, day-on-day growth rate of ordering customers, number of ordering orders, day-on-day growth rate of ordering orders, order amount, day-on-day growth rate of order amount, total number of ordered goods, day-on-day growth rate of total ordered goods, order conversion rate, day-on-day growth rate of order conversion rate, order-to-transaction conversion rate, day-on-day growth rate of order-to-transaction conversion rate.
提供机构:
阿里云天池
创建时间:
2022-06-18
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集记录了国内某品牌在电商平台从2016年6月1日至2021年11月5日的每日浏览和销售数据,包含34个字段如浏览量、访客数、成交金额等,覆盖了用户行为和交易转化的关键指标。数据以CSV格式提供,时间序列完整,适用于电商趋势分析、用户行为建模和销售预测等应用场景。
以上内容由遇见数据集搜集并总结生成



