Industry Trends Sample - 2019 Retail Industry Categories by State and Nationwide

Placer.ai Industry Trends - Free Data Sample

Conduct industry level market research and benchmark your chain/property by analyzing overall trends across retail industry categories and regions based on foot traffic. In addition, evaluate the impact and recovery of economic and regional events.

This free sample dataset contains data for 2019 on state and nationwide granularities.

If you would like more granular data sets (all categories, from 2017 onwards), please contact us at [e-mail]

Featured Industries:
Apparel
Dining
Groceries
Home Improvement
Hotel/Casinos
Electronics
Fitness
Top Use Cases
Conduct industry level market research by DMA, state or nationwide.
Benchmark your chain or property against its category, regionally or nationwide.
Integrate with internal dashboards.
Configuration Options for the full data feed:
Data History: Starting January 2018
Time-aggregation options: Weekly
Region-aggregation: CBSA, DMA, state or nationwide
Delivery frequency: Weekly
Delivery methods: Buckets (Amazon - AWS S3; Google - GCS); SFTP
Format: CSV

Tables Included:
Schema - Industry-Trends Data
Schema - Chain Coverage

Fields Included:
Schema - Industry-Trends Data
- region_type - example: ‘DMA’
- region_name - example: ‘DMA, 662 - Abilene-Sweetwater, TX’
- region_code - example: ‘662’
- category - example: ‘Clothing, Electronics store’
- start_date - example: ‘2020-01-06’
- end_date - example: ‘2020-01-12’
- category_foottraffic - example: ‘2528’
- category_foottraffic_previous_year - example:’8973’
- category_group - example: ‘Apparel, Electronics’

Schema - Chain Coverage
- id - example: '59ae96a9173f562d3c355488'
- name - example: 'Dick's Sporting Goods'
- category - example: 'Apparel'
- sub_category - example: 'Sporting Goods Shop'
- coverage - example: ‘0.9’
- category_group - example: ‘Apparel, Electronics’

搜集汇总

背景与挑战

背景概述

该数据集是一个免费的零售行业客流趋势样本，提供2019年州级和全国层面的数据，用于市场研究和基准分析。它覆盖多个行业类别，如服装、餐饮和电子产品，并包含行业趋势及连锁覆盖信息表。