遇见数据集

Bright Data | eCommerce sales - current and historical sales volumes and $ per product for Amazon, Target, Wayfair and Overstock

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Datarade2024-04-19 收录
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资源简介:

The Bright Insights dataset utilizes a unique algorithm to calculate actual unit sales, $ GMV (Gross Merchandise Volume), and product matching identifiers (UPC, EAN, MPN) for hundreds of thousands of ASIN families. The product details, related ASINs, ratings, and more are updated weekly. All you need to do is define which data points you want to target and our collector will do all of the heavy lifting. Poplar data sets which you can currently collect include: - Competitor pricing - Marketplace data - Trending products, special offers etc. - Consumer sentiment data (social media discourse, online comments/discussions, discretionary income spending) - Industry advertisement and consumer targeting data - Product data, for example which product details have the highest sales volume (color, size make) - Reviews, for example which competitor products have the highest percentage of negative reviews making them a prime target for you (ie feeding competitor insights) - Inventory level data, for example, keeping tabs on your competitor’s inventory levels and stepping in when temporary vacuums are created in order to increase your market share

提供机构:
Bright Data
搜集汇总
数据集介绍
Bright Data | eCommerce sales - current and historical sales volumes and $ per product for Amazon, Target, Wayfair and Overstock 数据集图片
背景与挑战
背景概述
该数据集由Bright Data提供,基于独特的算法计算Amazon、Target、Wayfair和Overstock等电商平台中数十万ASIN族的实际单位销量、GMV及产品匹配标识符(如UPC、EAN、MPN),数据每周更新。用户可自定义目标数据点,收集范围涵盖竞争对手定价、市场数据、产品详情、消费者情绪、广告、库存水平及评论等多维度信息。
以上内容由遇见数据集搜集并总结生成
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