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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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FP
FRANCISCO P.
10/24/2022
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Review source: G2 invite
Incentivized Review

My experience with Data Stream

What I like the most about data stream is the solution to the connection of different devices
Anishtha G.
AG
Anishtha G.
10/15/2022
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Review source: G2 invite
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REVIEW on Data Stream

It helps users harness the intelligence with the help of data transforming tool provided by Data Stream and grow their business by ensuring successful campaigns and marketing programmes
Verified User in Computer & Network Security
IC
Verified User in Computer & Network Security
10/13/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

great !!

creating your own custom analysis and making business strategies. Being an investor with a small portfolio, I have used this multiple times to track stocks , make data driven decisions

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HQ Location:
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