Olvin | Store Visit Data | Ground Truth Validated Retail Dataset

#	store_id	name	brand	street_address	city	state	zip_code	week_starting	week_ending	total_visits	wow_change	yoy_change	daily_visits	daily_wow_change	daily_yoy_change
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx
2	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
3	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx
4	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
5	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx
6	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx
7	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx
8	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
9	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx
10	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx
...	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx

Volume

700K

Retail Store Locations

Data Quality

77%

3-month daily correlation

Avail. Formats

.csv and .json

File

Coverage

Country

History

years

[Sample] store_visits.csv

Attribute	Type	Example	Mapping
store_id	String	000016cd-977f-462d-8f1b-a2b6a2cbf806
name	String	Walmart Supercenter
brand	String	Walmart	Brand Name
street_address	String	#### ** **	Address
city	String	Glendora	City Name
state	String	CA	State Name
zip_code	Integer	91740	ZIP Code
week_starting	String	6/12/2022
week_ending	String	6/18/2022
total_visits	Integer	49151
wow_change	Float	-3.75
yoy_change	Float	27.64
daily_visits	String	[7678,7084,6696,6649,6322,6901,7821]
daily_wow_change	String	[0.96,-4,-3.33,-1.76,-3.32,-7.56,-6.7]
daily_yoy_change	String	[33.95,26.03,23.52,29.69,27.87,26.58,25.9]

Product Attributes

Attribute	Type	Example	Mapping
store_id		0a2d716d-3163-4128-988c-d4c574047d7b
name		Walmart Neighborhood Market
brand	String	Walmart	Brand Name
street_address	String	# ** ****	Address
city	String	New Hapsburg	City Name
state	String	ME	State Name
zip_code	String	55243	ZIP Code
week_starting		2022-09-04
week_ending		2022-09-10
total_visits		328
wow_change		2
yoy_change		12
daily_visits		[45, 34, 50, 34, 41, 54, 70]
daily_wow_change		[4, -2, 3, -1, 0, 1, 7]
daily_yoy_change		[4, -2, 3, -1, 0, 1, 7]

Process and analyze store visits data on over 700k retail locations across the US. Each row contains a week's worth of data broken down into weekly, daily and hourly visits values.

Olvin's store visits data helps you analyze the performance of over one million retail stores across the US. Use it to reduce operational waste in retail, analyze competitors on a local, state or national level, or identify localized signals on retail brand performance. Key use cases include: - Store operations: Optimize workforce management and supply chains across retail and hospitality with Olvin’s store visits dataset featuring 12-week predictive insights. - Competitor analysis: Analyze what’s impacting the success of competitors from a local to national level. Understand their performance and their typical consumers. - Stock performance analysis: Assess investments in retail companies by using store visits as an indicator of performance. See how brands are trending month on month. Why Olvin? At Olvin, we know that bad data leads to bad decisions. That’s why our in-house team of data scientists and machine learning experts have spent 3 years ensuring our data is to the highest standard possible. - Ground truth validated: Our store visits data is trained and validated against in-store foot traffic counters, enabling a correlation accuracy of up to 91%. - Largest sample panel: The location data of over 145 million mobile devices are analyzed to power our analytics. - Representative panel: This panel of devices closely matches the US national average on age, income, race and more, making them a representative sample of the population. - Proprietary AI models: From clean data, to attributing store visits, to producing predictive insights - our AI models are the key to the quality of our datasets. - Comprehensive network of datasets: As well as location data, these models are powered by census data, Safegraph’s point-of-interest data, Transunion’s consumer data and more. Want to learn more? Get in touch with our data experts to see how you can start using Olvin data today.

North America (1)

United States of America

4 years of historical data

700,000	Retail Store Locations
6,500	Brands

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	$0.10 / record

Request detailed pricing

Self-reported by the provider

77%

3-month daily correlation

Methods

Frequency

Format

Retail Retail Analytics

Store Visit Tracking

Retail Intelligence

Operations Management

POI Visitation Data Visit Data Retail Location Data Retail Store Data Aggregated Foot Traffic Data

retail dataset retail apis Retail Datasets Retailer Lists Store Lists

700K Retail Store Locations

91% 3-month daily correlation

USA covered

Process and analyze aggregated store visit data on 6500 retail brands. Each row contains a week's worth of data broken down into weekly and daily visits values.

400 m unique encrypted device identifiers

6 countries covered

12 months of historical data

Geospatial Mobility Data, delivered via Cloud &/or our visualisation platform. Data attributes - Provider, LocationID, Encrypted Mobile Ad ID, Distance fr...

6 countries covered

Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, N...

1.05M Locations

96% Accuracy

2 countries covered

This core point-of-interest dataset consists of 1M location information of retail stores in the US and Canada. The POI database includes electronic stores, s...

What is Olvin Store Visit Data Ground Truth Validated Retail Dataset?

Process and analyze store visits data on over 700k retail locations across the US. Each row contains a week’s worth of data broken down into weekly, daily and hourly visits values.

What is Olvin Store Visit Data Ground Truth Validated Retail Dataset used for?

This product has 5 key use cases. Olvin recommends using the data for Retail, Retail Analytics, Store Visit Tracking, Retail Intelligence, and Operations Management. Global businesses and organizations buy POI Visitation Data from Olvin to fuel their analytics and enrichment.

Who can use Olvin Store Visit Data Ground Truth Validated Retail Dataset?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for POI Visitation Data. Get in touch with Olvin to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Olvin Store Visit Data Ground Truth Validated Retail Dataset go?

This Tabular Data has 4 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Which countries does Olvin Store Visit Data Ground Truth Validated Retail Dataset cover?

This product includes data covering 1 country like USA. Olvin is headquartered in United Kingdom.

How much does Olvin Store Visit Data Ground Truth Validated Retail Dataset cost?

Pricing for Olvin Store Visit Data Ground Truth Validated Retail Dataset starts at USD0.10 per record. Connect with Olvin to get a quote and arrange custom pricing models based on your data requirements.

How can I get Olvin Store Visit Data Ground Truth Validated Retail Dataset?

Businesses can buy POI Visitation Data from Olvin and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Olvin can deliver this product in .csv and .json format.

What is the data quality of Olvin Store Visit Data Ground Truth Validated Retail Dataset?

Olvin has reported that this product has the following quality and accuracy assurances: 77% 3-month daily correlation. You can compare and assess the data quality of Olvin using Datarade’s data marketplace. Olvin has received 1 review from clients. Olvin appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition.

What are similar products to Olvin Store Visit Data Ground Truth Validated Retail Dataset?

This Tabular Data has 3 related products. These alternatives include Olvin Retail Brand Visit Data Ground Truth Validated Dataset, Intuizi Visitation Details Dataset Geospatial mobility details 6 Countries Cloud &/or online platform delivery +400m Uniques, updated daily, and Echo Analytics Building Footprints data 14.4M+ locations in the U.S. You can compare the best POI Visitation Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$0.10 / record

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	$0.10 / record

Get Custom Quote

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Olvin | Store Visit Data | Ground Truth Validated Retail Dataset

Data Dictionary

Description

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History

Volume

Pricing

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Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Olvin
Analyze the store performance and consumer profiles of 1m+ US retail locations

Olvin | Store Visit Data | Ground Truth Validated Retail Dataset

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Olvin Analyze the store performance and consumer profiles of 1m+ US retail locations

Olvin
Analyze the store performance and consumer profiles of 1m+ US retail locations