First-party data is collected by your organization on your customers, such as registration or behavioral data from your website or app.
Second-party data is simply another company’s first-party data, usually made available through strategic partnerships.
Third-party data is available to purchase from a data broker or aggregator and is widely available in the market.
Our decentralized approach enables you to activate all your first-party data, however fragmented, in a risk-free technology environment to better understand your current and prospective customers for more effective marketing.
Our privacy-by-design approach also facilitates second-party data parternships through strategic relationships with complementary businesses, such as a publisher, that can give you a unique advantage for customer enrichment and selection.
Historically, organizations have used third-party data to enrich their customer understanding. However, as it is widely available for purchase, your competitors are likely accessing the same information and also using it to drive their marketing.
Furthermore, in the post-GDPR world, there is a growing nervousness regarding the quality and usefulness of this data. This is due to the lack of trust and transparency around the provenance of the data and customer consent.
Our platform enables multiple users to safely collaborate over data. It enables companies to unlock the potential of second-party data relationships without putting their customers at risk.
Each dataset is held in a distributed and isolated location, and can be connected via a permissions protocol. A user can query in real time across multiple first-party datasets as though they are stitched together, without moving or compromising customer data.
Once a permission has been granted, the user can then include second-party datasets in this analysis. The platform never moves or pools data, ensuring the owner retains control and ownership.
Once the collaboration project is complete, permissions can be withdrawn, without the outside party having received a copy of the source data. This ensures a minimization of data movement and processing.