Foot Traffic Patterns Data Sample - Walmart Supercenter

Placer.ai Foot Traffic Patterns - Free Data Sample

Forecast patterns and future retail visitation performance by understanding historical foot traffic and analyzing visit trends. This free sample dataset contains daily data for Walmart Supercenter on a chain & venue level in Delaware for January 2017. If you would like more granular data sets (all categories, from 2017 onwards), please contact us at [e-mail].

Featured Metrics
- Total foot-traffic: Number of visits in a given time period.
- Visitors breakdown by home distance: a dimension that breaks down foot-traffic data by the distance of the home location from the trade area.
- Visitors breakdown by work distance: a dimension that breaks down foot-traffic data by the distance of the work location from the trade area.
- Panel size: Number of panels (devices) in a given time period
Top Use Cases
- Monitor the performance of stores, venues and properties to track high and low rankings
- Integrate visit traffic data with prediction models to forecast future performance and strategically plan marketing promotions and hiring needs
- Validate or identify anomalies in other datasets (e.g. credit cards)
- Analyze the impact of events and promotions on visit traffic
- Integrate with internal dashboards for reporting and a day-by-day view of chain/venue visitor traffic
- Benchmark store performance within the chain and with category competitors

Configuration Options
- Data history: Starting January 2017
- Time-aggregation options: Daily (only Chains) / weekly (Venues/Chains) / monthly (Venues/Chains)
- Region-aggregation: Nationwide, state, CBSA (MSA+microMSA), DMA (applicable only for Chains)
- Delivery frequency: Daily (only Chains) / weekly (Venues/Chains)
- Delivery methods: Buckets; SFTP or email
- Format: CSV

Sample Tables & Schema
Tables Included:

Fields Included:

- name - example: ‘Walmart’
- id - example: ‘58ef6e6c173f5601f82d8f28’
- type - example: ‘chain’
- time_frame - example: 'daily'
- start_date - example: ‘01/01/2017’
- end_date - example: ‘01/01/2017’
- region_type - example: ‘state’
- region_name - example: ‘Delaware’
- region_code - example: 'DE'
- publication_date - example: ‘27/07/2020’
- version_code - example: ‘0.0.3’

- name - example: ‘Walmart’
- id - example: '5965fca0173f564b883c222e'
- type - example: 'venue'
- time_frame - example: 'daily'
- start_date - example: ‘2018-04-15’
- end_date - example: ‘2018-04-15’
- region_type - example: 'nationwide'
- region_name - example: ‘California’
- region_code - example: 'CA'
- publication_date - example: ‘2020-08-0’
- version_code - example: ‘1.0.0’

For more see, documentation: https://docs.placer.ai/docs/csv-multiple-metrics-export-schema