SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location | Location Attribute Data + Insights Report | Data Enrichment
Verified Data Provider| # | Store ID |
Store Type Description |
Metro Area |
Urbanicity |
Square Footage (Store Attributes) |
Total # of Visits |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
| 2 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
| 3 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
| 4 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
| 5 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 6 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
| 7 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 8 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 10 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| ... | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Store ID
|
Integer | 41 | |
|
Store Type Description
|
String | Supercenter | |
| String | Address | ||
| String | Bartlesville | City Name | |
| String | OK | State Abbreviation | |
| Integer | 74006 | ZIP Code | |
| Float | 36.7399 | Latitude | |
| Float | -95.9332 | Longitude | |
|
Metro Area
|
String | Oklahoma City | |
|
Urbanicity
|
String | Suburban | |
|
Store Square Footage
|
Integer | 199,018 | |
|
Total # of Visits
|
Integer | 143,758 |
Description
Country Coverage
Volume
| 4,610 | Walmart Store Locations |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Not available |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment?
In the age of data-driven decisions, understanding customer movements is crucial, especially for businesses in the CPG, FMCG, and retail sectors. SocialSift presents a groundbreaking analysis – Walmart Foot Traffic Insights, diving deep into the foot traffic behavior of America’s shopping populace.
What is SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment used for?
This product has 4 key use cases. SocialSift recommends using the data for Store Visit Attribution, Retail Intelligence, Location Insights, and Foot Traffic Analysis. Global businesses and organizations buy Foot Traffic Data from SocialSift to fuel their analytics and enrichment.
Who can use SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Foot Traffic Data. Get in touch with SocialSift to see what their data can do for your business and find out which integrations they provide.
Which countries does SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment cover?
This product includes data covering 1 country like USA. SocialSift is headquartered in United States of America.
How much does SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment cost?
Pricing information for SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment is available by getting in contact with SocialSift. Connect with SocialSift to get a quote and arrange custom pricing models based on your data requirements.
How can I get SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment?
Businesses can buy Foot Traffic Data from SocialSift and get the data via Email. Depending on your data requirements and subscription budget, SocialSift can deliver this product in .csv and .xls format.
What is the data quality of SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment?
SocialSift has reported that this product has the following quality and accuracy assurances: 98% Walmart Store Coverage. You can compare and assess the data quality of SocialSift using Datarade’s data marketplace.
What are similar products to SocialSift: Walmart USA Footfall/ Foot Traffic Data based on Mobile Location Location Attribute Data + Insights Report Data Enrichment?
This product has 3 related products. These alternatives include Echo Analytics Mobility Data & Insights Mobile Location Data 18.8M+ Locations in the US, PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom, and Footfall Data Foot traffic Data Mobile Location Data Visit Data for Finance, Retail & Real estate Global 600+ Customers GDPR compliant. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.
