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OnAudience

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38 reviews
  • 4 profiles
  • 4 categories
Average star rating
4.7
Serving customers since
2016
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OnAudience Reviews

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Profile Name
Star Rating
34
4
0
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0
TP
Tomas P.
03/27/2019
Validated Reviewer
Verified Current User
Review source: Organic

easy to implement platofrm

All data management features are important, but what’s more - the DMP also helps to comply with GDPR regulations.
WS
Wiktoria S.
03/22/2019
Validated Reviewer
Review source: Organic

DMP review

Clear brand division of the segments. I can easily find the users, who could be interested in my brand. Moreover, I can check detailed info like age, gender or set of interests.
SP
Sylwia P.
03/21/2019
Validated Reviewer
Verified Current User
Review source: Organic

i make better decision based on data from DMP

I have all the information about my visitors in one place, which makes the data easy to manage. Next, I can simply use segmented data in my online campaigns.

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London, GB

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OnAudience - Global Data Provider

Raw Data is a feed of granular information that can be integrated into internal environments such as DMPs, CDPs, data warehouses to enrich user information or proprietary platforms to enhance modeling, analytics, and targeting precision. The solution delivers granular behavioral and intent signals sourced across global markets, allowing for deep consumer insights and advanced segmentation and building whole date taxonomies. Clients can use raw data for audience modeling, enrichment, analytics, and integration into their own DMPs, CDPs, or data environments. With broad coverage across desktop and mobile environments, the data supports both prospecting and performance-driven use cases. Overall, raw data empowers teams with greater flexibility, transparency, and control over their data-driven marketing plans. OnAudience Raw Data provides access to large-scale, privacy-compliant behavioral and intent signals for companies that want to build, model, or analyze audiences internally. It enables advanced data science teams, DMPs, and CDPs to create audience taxonomies, enrich datasets, and enables building data solutions from scratch.

Details

Year Founded
2016