PlaceSense | Catchment Data | 3 Yrs Historical | All Geo Resolutions possible | Monthly Resolution | DACH, Netherlands, Italy Location Data product image in hero

PlaceSense | Catchment Data | 3 Yrs Historical | All Geo Resolutions possible | Monthly Resolution | DACH, Netherlands, Italy Location Data

PlaceSense
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#
location_name
geo_entity_country
geo_entity_code
geo_entity_name
time_interval_type
time_interval_code
aerial_distance_km
visits_share
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx
2 Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx
3 xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
4 xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx
5 Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx
6 xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx
7 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx
8 xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx
9 Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx
10 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx
... xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx
Sign In To Preview Data
Volume
30M
Building shapes
Data Quality
90%
Match with known client data
Avail. Formats
.csv and .xls
File
Coverage
5
Countries
History
3
years

Data Dictionary

[Sample] PlaceSense_mobile location data_delivery_example - catchment_ex_anonymized.csv
Attribute Type Example Mapping
location_name
String X - Zeppelinstr. X, Radolfzell
geo_entity_country
String de
geo_entity_code
Integer 78315
geo_entity_name
Integer 78315
time_interval_type
String year_month
time_interval_code
String 2021_08
aerial_distance_km
Integer 0
visits_share
Float 0.5544124875
Product Attributes
Attribute Type Example Mapping
location_name
String
time_interval
String
geo_entity_code
Postal code 5: 12345
visits_share

Description

PlaceSense offers detailed catchment, mobility & location data with 3 years of history and monthly resolution. Covering Germany, Austria, Switzerland, Netherlands, and Italy, our GDPR-compliant data is available at all geo resolutions, ideal for retail, real estate, and urban planning insights.
Unlock precise insights into consumer movement and behavior with PlaceSense Catchment Data (Location Data). Our dataset covers 3 years of historical data across Germany, Austria, Switzerland, Netherlands, and Italy, offering monthly resolution and flexible geo representation from grid-level to entire regions. Our GDPR-compliant location data is sourced from 600+ mobile apps and provides detailed catchment area analyses, revealing where visitors live, work, and move. Ideal for retail site selection, urban planning, and competitive analysis, PlaceSense data supports strategic decision-making with accurate, anonymized information. Key Features: • Comprehensive Coverage: Available across DE, AT, CH, NL, IT. • Scalable Resolutions: Analyze from local to regional levels. • High-Quality Data: Processed with advanced ML algorithms. • GDPR Compliance: Privacy-focused, non-PII data. • Monthly Resolution: Ensures timely, up-to-date insights. Use Cases: 1. Retail Strategy: Identify optimal store locations by analyzing customer origins and behavior. 2. Urban Planning: Optimize infrastructure and public services based on detailed mobility data. 3. Competitive Analysis: Benchmark performance and evaluate market saturation against competitors. PlaceSense delivers the data you need to refine location strategies and drive success across industries. Accurate, actionable, and always compliant with privacy standards.

Country Coverage

Europe (5)
Austria
Germany
Italy
Netherlands
Switzerland

History

3 years of historical data

Volume

30 million Building shapes
1,000 high streets
10,000 shopping center

Pricing

License Starts at
One-off purchase 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
90%
Match with known client data

Delivery

Methods
S3 Bucket
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data?

PlaceSense offers detailed catchment, mobility & location data with 3 years of history and monthly resolution. Covering Germany, Austria, Switzerland, Netherlands, and Italy, our GDPR-compliant data is available at all geo resolutions, ideal for retail, real estate, and urban planning insights.

What is PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data used for?

This product has 5 key use cases. PlaceSense recommends using the data for Footfall Analytics, Retail Analytics, Retail Site Selection, Catchment Area Analysis, and Data Driven Marketing. Global businesses and organizations buy Location Data from PlaceSense to fuel their analytics and enrichment.

Who can use PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data?

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

How far back does the data in PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data go?

This product has 3 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data cover?

This product includes data covering 5 countries like Germany, Italy, Netherlands, Switzerland, and Austria. PlaceSense is headquartered in Israel.

How much does PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data cost?

Pricing information for PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data is available by getting in contact with PlaceSense. Connect with PlaceSense to get a quote and arrange custom pricing models based on your data requirements.

How can I get PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data?

Businesses can buy Location Data from PlaceSense and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, PlaceSense can deliver this product in .csv and .xls format.

What is the data quality of PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data?

PlaceSense has reported that this product has the following quality and accuracy assurances: 90% Match with known client data. You can compare and assess the data quality of PlaceSense using Datarade’s data marketplace.

What are similar products to PlaceSense Catchment Data 3 Yrs Historical All Geo Resolutions possible Monthly Resolution DACH, Netherlands, Italy Location Data?

This product has 3 related products. These alternatives include PlaceSense Foot Traffic Data Location Data 3 Yrs Historical Weekly Resolution DACH, Netherlands, Italy Mobile Location Data, Mobility Data, GapMaps GIS Data by Azira Global Mobile Location Data Current and Historical Privacy Compliant (Copy), and Unacast GIS Data - Global Mobile Location Data - Current & Historical. 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 Available
Monthly License Available
Yearly License Available
Usage-based Not available

PlaceSense

Making Sense Of Places

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