PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market

#	geohash7	pedestrians	vehicles	device_flow	latitude	longitude	kmh_geohash7_avg	kmh_geohash7_min	kmh_geohash7_max	timestamp_avg	dwell_time_basic_avg	pings	poi_confidence_avg	poi_confidence_max	poi_confidence_min	poi_confidence_sum	poi_confidence_over_075_sum	count_g9_with_poi	places_count	bars_coffees_restaurants_confidence	recreational_cultural_services_confidence	temporal_accomodation_services_confidence	health_and_social_services_confidence	parking_confidence	visits_during_working_hours	visits_during_non_working_hours	parking_confidence	workday_visits	yearly_income_avg	home_depot_prediction	lowes_home_improv_prediction
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx
2	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx
3	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx
4	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx
5	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx
6	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx
7	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx
8	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx
9	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx
10	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx
...	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx

Request Data Sample

Volume

rows

Data Quality

95%

quality rate

Avail. Formats

.bin, .json, and .xml

File

Coverage

Country

History

years

Product Attributes

Attribute	Type	Example
geohash7	String	9vg50wb
pedestrians	Integer	109
vehicles	Integer	116
device_flow	Float	34267.35113
latitude	Float	32.90876739
longitude	Float	-97.00815428
kmh_geohash7_avg	Float	56.82811132
kmh_geohash7_min	Float	15.04109589
kmh_geohash7_max	Float	119.952
timestamp_avg	Timestamp	1700051061
dwell_time_basic_avg	Time	197.7344
pings	Integer	1300
poi_confidence_avg	Float	0.7
poi_confidence_max	Float	0.8
poi_confidence_min	Float	0.6
poi_confidence_sum	Float	0.5
poi_confidence_over_075_sum	Float	0.5
count_g9_with_poi	Integer	25
places_count	Integer	30
bars_coffees_restaurants_confidence	Float	0.1
recreational_cultural_services_confidence	Float	0.1
temporal_accomodation_services_confidence	Float	0.2
health_and_social_services_confidence	Float	0.1
parking_confidence	Float	0.9
visits_during_working_hours	Integer	40
visits_during_non_working_hours	Integer	328
parking_confidence	Float	0.1
workday_visits	Integer	527
yearly_income_avg	Integer	250001
home_depot_prediction	Float	0.000234787
lowes_home_improv_prediction	Float	0.0000885906920302659

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in the USA (Including Point of Interest (POI) Data and Foot Traffic. The dataset is divided into 150x150 sqm areas (geohash 7) and has over 50 variables.

- Use it for different applications: Our combined dataset, which includes POI and foot traffic data, can be employed for various purposes. Different data teams use it to guide retailers and FMCG brands in site selection, fuel marketing intelligence, analyze trade areas, and assess company risk. Our dataset has also proven to be useful for real estate investment. - Get reliable data: Our datasets have been processed, enriched, and tested so your data team can use them more quickly and accurately. - Ideal for trainning ML models. The high quality of our geographic information layers results from more than seven years of work dedicated to the deep understanding and modeling of geospatial Big Data. Among the features that distinguished this dataset is the use of anonymized and user-compliant mobile device GPS location, enriched with other alternative and public data. - Easy to use: Our dataset is user-friendly and can be easily integrated to your current models. Also, we can deliver your data in different formats, like .csv, according to your analysis requirements. - Get personalized guidance: In addition to providing reliable datasets, we advise your analysts on their correct implementation. Our data scientists can guide your internal team on the optimal algorithms and models to get the most out of the information we provide (without compromising the security of your internal data). Answer questions like: - What places does my target user visit in a particular area? Which are the best areas to place a new POS? - What is the average yearly income of users in a particular area? - What is the influx of visits that my competition receives? - What is the volume of traffic surrounding my current POS? This dataset is useful for getting insights from industries like: - Retail & FMCG - Banking, Finance, and Investment - Car Dealerships - Real Estate - Convenience Stores - Pharma and medical laboratories - Restaurant chains and franchises - Clothing chains and franchises Our dataset includes more than 50 variables, such as: - Number of pedestrians seen in the area. - Number of vehicles seen in the area. - Average speed of movement of the vehicles seen in the area. - Point of Interest (POIs) (in number and type) seen in the area (supermarkets, pharmacies, recreational locations, restaurants, offices, hotels, parking lots, wholesalers, financial services, pet services, shopping malls, among others). - Average yearly income range (anonymized and aggregated) of the devices seen in the area. Notes to better understand this dataset: - POI confidence means the average confidence of POIs in the area. In this case, POIs are any kind of location, such as a restaurant, a hotel, or a library. - Category confidences, for example "food_drinks_tobacco_retail_confidence" indicates how confident we are in the existence of food/drink/tobacco retail locations in the area. - We added predictions for The Home Depot and Lowe's Home Improvement stores in the dataset sample. These predictions were the result of a machine-learning model that was trained with the data. Knowing where the current stores are, we can find the most similar areas for new stores to open. How efficient is a Geohash? Geohash is a faster, cost-effective geofencing option that reduces input data load and provides actionable information. Its benefits include faster querying, reduced cost, minimal configuration, and ease of use. Geohash ranges from 1 to 12 characters. The dataset can be split into variable-size geohashes, with the default being geohash7 (150m x 150m). Why should you trust PREDIK Data-Driven as your data provider? In 2023, we were listed as Datarade's top providers. Why? Our solutions adapt according to the specific needs of companies. Also, PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

North America (1)

United States of America

1 years of historical data

1 million

rows

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

95%

quality rate

Methods

Frequency

Format

Location Intelligence Site Visitation Retail Site Selection Point of Interest (POI) Mapping

POI Enrichment

Location Data Map Data Foot Traffic Data Point of Interest (POI) Data GIS Data

1M rows

95% quality rate

49 countries covered

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in main European countries (Includ...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Connect with our experts to access the most accurate and up-to-date Point of Interest (POI) Data, enriched with everything you need to analyse POI distributi...

199 Polygon Records

95% Match Rate

2 countries covered

Extensive polygon data for marinas across the US and Canada. Includes custom-drawn boundaries and precise location information. Valuable for marine industry ...

15M Records

Japan covered

20 years of historical data

dataplor's Japan dataset boasts 15M+ POIs covering Tokyo, Osaka, Kyoto, and more, making it the most extensive location and business intelligence resource fo...

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market?

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Location Intelligence, Site Visitation, Retail Site Selection, Point of Interest (POI) Mapping, and POI Enrichment. Global businesses and organizations buy Location Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market?

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

How far back does the data in PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market go?

This product has 1 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market cover?

This product includes data covering 1 country like USA. Predik Data-driven is headquartered in United States of America.

How much does PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market cost?

Pricing information for PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.

How can I get PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market?

Businesses can buy Location Data from Predik Data-driven and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market?

Predik Data-driven has reported that this product has the following quality and accuracy assurances: 95% quality rate. You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.

What are similar products to PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market?

This product has 3 related products. These alternatives include PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +100 Data Variables for the European Market, The Data Appeal Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019, and Xtract.io Polygon Data Map Data Marinas in US and Canada. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Verified Provider

7h Avg. response time

100% Response rate

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

Predik Data-driven
Problem Solving with a Data-Driven Approach

Trusted by

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

Predik Data-driven Problem Solving with a Data-Driven Approach

Trusted by

Predik Data-driven
Problem Solving with a Data-Driven Approach