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Retail, Location & Marketing Data (1428 results) showing 201 - 210



Prices starting at $25,000 | 1 and 12 month subscriptions available.

Connected Impulse Shoppers make purchases without much forethought or research. These consumers will change brands just for variety. They are often the first of their friends and family to try new things, and they value the convenience of buying frequently used items online to save time and money.


Price $7,500 | 12 month subscription available.

This data set provides the candidate supply and demand and the number of open jobs per industry and designated market area.


Free | 1 month subscription available.

Techsalerator has access to the highest B2B count in Asia . Thanks to our unique sourcing , we can select the ideal targeted dataset based on unique elements such as the sales volume of a company, the company's location, # of employees, type of business etc...


Free | 1 month subscription available.

With 761,000 Businesses in Portugal, Techsalerator has access to the highest B2B count in the country . Thanks to our unique sourcing , we can select the ideal targeted dataset based on unique elements such as the sales volume of a company, the company's location, # of employees, type of business...


Price $1,300 | 12 month subscription available.

US consumer survey data modeled to Zip Code level. Data file lists the percentage answers for the question “On a scale from 1-5, (with "1" being "Strongly Disagree" and "5" being "Strongly Agree"), please indicate to what extent you agree or disagree with the following statements: The government...


Free | 1 month subscription available.

Dun & Bradstreet has delivered quality B2B data to help businesses grow and thrive for nearly 200 years. Our data and insights are powered by the Dun & Bradstreet Data Cloud that includes over 420M+ business records that are updated continuously from tens of thousands of sources. This data share...


Free | 3 month subscription available.

We provide complete information about daily footfall metrics at street edge level. So, you can expect to be able to understand the full time series of the average number of pedestrians passing by each street edge in the sample/extraction being queried.