Best Data for Advertising
Recommended Data for Advertising
Geojunxion Germany Kindergarden data set with more than 52.000 up-to-date addresses and contact data
Consumer Marketing Database - U.S Coverage of 217M Individuals, 118M Households- Demographics, Housing, Interests, Income, Insurance, Occupation
New Mover Data on U.S. Consumers - Pre-movers, Homeowners At Listing, Homeowners Under Contract, Newly Moved Renters, Newly Moved Homeowners
Shopping Malls Database by Country
POI Data: SafeGraph Places - United Kingdom
POI Data: SafeGraph Places - Canada
Vendigi
SafeGraph
We are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
OnAudience
RIWI
Datasys
Unacast
Leveraging geolocation data for Airport Planning. We provided a strong and successful case for adding flights to a medium sized airport. Two airlines added flights following the analysis. The successful pilot is being turned into a tool for airport administrators. In the tool, managers can see the origins and end destinations of travelers flowing through their terminals. They can also identify volume and type of leakage to other transportation terminals - both alternate airports and other modes of travel like bus and train. Gravy Analytics' data product showing visitations was optimal for this use case.
Frequently Asked Questions about Advertising
What is data-driven advertising?
Data-driven advertising refers to the use of automation and audience data that enable a scalable delivery of highly personalised communication to potential customers.
Why is data important in advertising?
Given a sufficient amount of data about the target audience marketers are able to customise their mass communication to reflect a near 1-on-1 conversation. When messaging becomes more personalised, the audience will engage with it better.
How to do data-driven advertising?
Data driven advertising, like all marketing starts with understanding the target audience. Data can help marketers to define the audience based on e.g. their straits related to their location or interests. With this knowledge based on data marketers can customise their communication to reflect a very personalised message that can be automatically triggered when a new prospect falls in to the predefined audience.
