OnAudience is a global audience data provider, empowering advertisers, agencies, and brands to run more effective, data-driven campaigns worldwide. The company specializes in providing data and technologies to international markets, helping businesses better understand and reach their target audiences with precision and confidence. OnAudience collects data from over 200 markets, and offers a portfolio of mobile, desktop, and CTV data. OnAudience’s data resources enable…
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Piano Audience
Score 8.8 out of 10
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Piano DMP presents customer data as immediately available for segmentation and targeting.
It combines first-, second-, and third-party data with volunteered zero-party data, allowing administrators to develop user profiles and audience segments and put the data to work across sites and multi-channel campaigns. Integrate zero-party data to ensure data reliability, transparency, and consent.
It allows users to manage and analyze large volumes of information, The learning technology is automatic, the types of audiences can be classified. it is a very good business solution for our marketing department, The DMP acts as a true management center, we have obtained a …
Piano DMP form is simpler, as is its customization, we have an invaluable data source in its own systems, the construction of an eCommerce solution is ambitious and projected, the careful design of the logic of use is evident, in addition, its use can meet very diverse needs …
Depending on the user segment created, it allows us for example to use the recommendation engine pop-up feature among other alternatives, it can also take effective action for media sites, such as in-site migration promotion and member registration/campaign recommendation. According to the user access record measured by Cxense tag measurement.
It allows users to manage and analyze large volumes of information, The learning technology is automatic, the types of audiences can be classified. it is a very good business solution for our marketing department, The DMP acts as a true management center, we have obtained a good Simplification and unification of data