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

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

Predik Data-driven
4.2(3)Badge iconVerified Data Provider
#
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
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Request Data Sample
Volume
1M
rows
Data Quality
95%
quality rate
Avail. Formats
.bin, .json, and .xml
File
Coverage
1
Country
History
1
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
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

Description

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.

Country Coverage

North America (1)
United States of America

History

1 years of historical data

Volume

1 million rows

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
quality rate

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
weekly
monthly
quarterly
yearly
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Categories

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Frequently asked questions

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

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.

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, Location Data All Yum! Brands Restaurants Locations in US and Canada Extensive Market Coverage Point of Interest Data, and The Data Appeal Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019. 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

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