Brand Dominance Data | United States Retail Chain Foot Traffic & Rankings

Brand Dominance by Placer.ai is a data feed of foot traffic and rankings on the most popular premium retail chains in the U.S. Break down the performance of brands by visits and across industry categories you are interested in. Then use the data feed to analyze Retail Chains dominance over specific regions (Zipcodes/States) over time.

More granular data sets (all categories, from 2017 onwards) available by request. Please contact us at [e-mail]

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.

Configuration Options for Full Feed
Data history: Starting January 2017
Time-aggregation options: Monthly (updates by the 11th of following month)
Region-aggregation: Nationwide, state, ZIP Code
Available Categories: Department Store, Dollar Store, Fast Food - Burger, Fast Food - Chicken, Fast Food - Mexican, Fitness, Grocery, Home Improvement, Pet Store, Pharmacy, Sporting Goods, Superstores
Delivery frequency: Monthly
Delivery methods: Buckets; SFTP
Format: CSV

Sample Tables & Schema
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

搜集汇总

背景与挑战

背景概述

该数据集提供美国零售连锁店的人流量和排名信息，用于分析品牌在特定区域的市场份额和竞争态势，时间范围从2017年1月开始，按月更新。它覆盖全国、州和邮编级别，包含多个行业类别，数据以CSV格式通过SFTP等方式每月交付。