PTV Points of Sale database Germany | POS data (retail, banking and insurance, etc.) product image in hero

PTV Points of Sale database Germany | POS data (retail, banking and insurance, etc.)

PTV Group
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#
id
pos_category
co_brand
co_name
co_street
co_zip
co_city
co_state
co_country
co_phone
co_phone_norm
co_fax
co_fax_norm
co_email
co_email_norm
co_url
co_url_norm
monday_open
monday_close
tuesday_open
tuesday_close
wednesday_open
wednesday_close
thursday_open
thursday_close
friday_open
friday_close
saturday_open
saturday_close
sunday_open
sunday_close
production_date
gco_level
gco_xkoord
gco_ykoord
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 Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx
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6 xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx
7 Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx 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
8 Xxxxxxx Xxxxxx Xxxxxxxxx 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 Xxxxxxx
9 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
10 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 xxxxxxxx Xxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxx Xxxxxxxx
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Sign In To Preview Data
Volume
330K
records
Avail. Formats
.json, .csv, and .xls
File
Coverage
1
Country
History
5
years

Data Dictionary

[Sample] PTV_POS_Data_R2023_V1_Buildings_utf8.csv
Attribute Type Example Mapping
id
Integer 202556
pos_category
String Bau- & Freizeitmärkte
co_brand
String BayWa
co_name
String BayWa Baustoffe München-Moosfeld
co_street
String Martin-Kollar-Str. 8
co_zip
Integer 81829
co_city
String München
co_state
co_country
String DE
co_phone
String +49 89 4209090
co_phone_norm
String 49,89,4209090,
co_fax
co_fax_norm
co_email
String [email protected]
co_email_norm
String [email protected]
co_url
co_url_norm
monday_open
monday_close
tuesday_open
tuesday_close
wednesday_open
wednesday_close
thursday_open
thursday_close
friday_open
friday_close
saturday_open
saturday_close
sunday_open
sunday_close
production_date
DateTime 2023-03-14T00:00:00+00:00
gco_level
String Gebäudekoord.
gco_xkoord
Float 11.66036027
gco_ykoord
Float 48.135909995
Product Attributes
Attribute Type Example Mapping
Text 9.00-19.00 POI Opening Hours
Company label
Technical University of Berlin
Street
Straße des 17. Juni 135
String 10623 Postal Code
String Berlin City Name
String Germany Country Name
contact information
Includes telephone number, fax number, e-mail address and...

Description

PoS (point of sale) refers to the location a sale takes place; from the consumer's perspective it is where the item was purchased and from the provider's perspective it is where the item was sold. PoS data records can be used both in marketing and in location planning applications.
The PoS data record is updated twice a year by PTV. Points of Sale (PoS) are a fixed part of numerous applications both in marketing and in location planning. This useful information can be found, for example, in many route planning and navigation systems that mark opportunities for shopping, eating, etc. along a chosen route or in a city. For site or area planning, they provide relevant information about the surroundings of a particular location. Regardless of whether a new location is planned for a retail outlet or relevant parameters in the vicinity of an existing location need to be assessed. Categories • Stores selling DIY & leisure products • Consumer goods & everyday items • Chemists, personal care and cosmetics • Furniture • Electronics & communication • Financial & insurance services • Food outlets • Healthcare • Motor vehicles • Clothing & shoes • Food • Discount food retailers • Travel • Sports & leisure • Petrol stations

Geography

Europe (1)
Germany

History

5 years of historical data

Volume

330,000 records

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
SFTP
Email
Frequency
quarterly
yearly
on-demand
Format
.json
.csv
.xls
.txt

Use Cases

Categories

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Frequently asked questions

What is PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?

PoS (point of sale) refers to the location a sale takes place; from the consumer’s perspective it is where the item was purchased and from the provider’s perspective it is where the item was sold. PoS data records can be used both in marketing and in location planning applications.

What is PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) used for?

This product has 5 key use cases. PTV Group recommends using the data for Location Intelligence, Location Analytics, Retail Site Selection, Store Locators, and Bank Data Enrichment. Global businesses and organizations buy Demographic Data from PTV Group to fuel their analytics and enrichment.

Who can use PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?

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

How far back does the data in PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) go?

This Tabular Data has 5 years of historical coverage. It can be delivered on a quarterly, yearly, and on-demand basis.

Which countries does PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) cover?

This product includes data covering 1 country like Germany. PTV Group is headquartered in Germany.

How much does PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) cost?

Pricing information for PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) is available by getting in contact with PTV Group. Connect with PTV Group to get a quote and arrange custom pricing models based on your data requirements.

How can I get PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?

Businesses can buy Demographic Data from PTV Group and get the data via SFTP and Email. Depending on your data requirements and subscription budget, PTV Group can deliver this product in .json, .csv, .xls, and .txt format.

What is the data quality of PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?

You can compare and assess the data quality of PTV Group using Datarade’s data marketplace.

What are similar products to PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?

This Tabular Data has 3 related products. These alternatives include Xtract.io Polygon Data Centre Points and Boundaries of Heliports in US and Canada, The Data Appeal Global Point-of-Interest (POI) Data API, Dataset 251 Millions+ POI Data Mapped Footfall and Sentiment Insights, and Versium REACH - Consumer Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Append B2C, USA, CCPA Compliant. You can compare the best Demographic 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 Not available
Yearly License Available
Usage-based Not available

PTV Group

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