Data-driven advertising refers to the act of scalable communication that is automised and personalised through data. Most commonly used data types in advertising are audience, location and interest data. The use of data removes the guesswork and increases your ROI drastically.
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Our Data Partners
248 countries covered
Test your ad, message or concept for effectiveness in ANY country in the world.
by AnalyticsIQ
241M individuals
1 country covered
3 months of history data
HousingIQ contains data related to consumer housing attributes.
Venue Visit
by Skyhook
1 country covered
2 years of history data
Skyhook can help retailers gain insights on customer loyalty and behaviors by gathering pre-visit behaviors, time spent inside the store, and post-visit beha...
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Based in USA
AnalyticsIQ is a predictive marketing data company that creates data to understand the complete view of individuals - regardless of whether they are at home ...
Based in United Kingdom is one of the biggest data providers in the world with a database that includes more than 27 billion of anonymous user profiles. We have devel...
+1200 segments
Data from 200+ markets
Raw Data
To fuel your own engine!
Based in USA
Complementics is a mobile data marketplace with SDK derived data from more than 1 Billion devices
privacy sentisitve
POI Location
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Frequently Asked Questions about Advertising

Learn everything about Advertising. Understand data sources, popular use cases, and data quality.

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.