遇见数据集

Brand Dominance Sample - Dick’s Sporting Goods Foot Traffic & Rankings

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Snowflake2023-02-06 更新2024-05-01 收录
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资源简介:

Placer.ai Brand Dominance - Free Data Sample Break down the performance of the most popular premium retail chains in the U.S. by visits and across industry categories. This free sample dataset contains data for the 'Sporting Goods' category for October 2020 on a nationwide level & in Kansas on zipcode & state level. If you would like more granular data sets (all categories, from 2017 onwards), please contact us at Snowflake_Marketplace_sales@placer.ai Top Use Cases - Discover which chain has the biggest market share in a specific region. - See a chain’s local ranking and view its competition. - Analyze which chain is gaining or losing ground over time. About Placer.ai Data Feeds: Generated by Placer.ai, Data Feeds are daily feeds of metrics on chains and properties and venues. It includes time-series for metrics such as total foot-traffic, brand market share, industry trends and more. Tables Included: - Brand Dominance Nationwide - Brand Dominance State - Brand Dominance Zipcode Fields Included: - id - example: '59ae96a9173f562d3c355488' - name - example: 'Dick's Sporting Goods' - category - example: 'Apparel' - sub_category - example: 'Sporting Goods Shop' - brand_group - example: 'Sporting Goods' - state/zipcode/nationwide - example: '90210' - time_frame - example: 'monthly' - start_date - example: 2020-10-01 - end_date - example: 2020-10-31 - chain_foottraffic - example: 138489 - chain_rank - example: 1 - visit_share - example: 0.17 - region_brand_group_foottraffic - example: 825253 For longer description of the fields, please see the readme files here: https://docs.placer.ai/docs/brand-dominance-data-feed#schema-overview---nationwide

提供机构:
Placer.ai
创建时间:
2023-01-25
搜集汇总
数据集介绍
Brand Dominance Sample - Dick’s Sporting Goods Foot Traffic & Rankings 数据集图片
背景与挑战
背景概述
该数据集是Placer.ai提供的免费样本,包含2020年10月美国体育用品类别在全国及堪萨斯州邮政编码和州级层面的品牌客流、市场份额和排名数据。它适用于分析市场占有率、竞争格局和趋势变化,并提供了详细的表格和字段信息。
以上内容由遇见数据集搜集并总结生成
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