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Leverage first-party data to discover media owners with the greatest potential to reach your customers. Through deterministic identity matching, audience affinity is accurately measured to power data-driven media planning and buying.
Digital advertising has historically been planned against an unknown, aggregated audience, driven by cookie data and based largely upon behavioural attributes in lieu of being able to plan using known audience data at an individual level.
Google and Facebook evolved the media planning experience, enabling advertisers to plan people-based marketing simply. Brands have become accustomed to this, and want a similar experience outside of the walled gardens.
Driven by the needs of advertisers, and the decline of cookie data, media owners are increasing their known audience through registration and paywalls. Both sides now seek a privacy-safe, simple and effective way to work together.
Discovery is the new platform from InfoSum enabling media planning across multiple known audiences and media owners, while providing the same level of simplicity as Facebook Custom Audience and Google Customer Match.
Discovery is the most privacy-safe media planning platform for brands and their media agencies.
We don’t hold any data. We provide the identity infrastructure to power a decentralised ecosystem.
Federated technology keeps your data in its own unique Bunker, that only you can access.
You remain in control of who can analyse your data. This never grants access to the raw data.
First-party data sets are matched using existing identifiers, removing the need to share data.
Data is uploaded to a secure and dedicated instance, running on secure cloud infrastructure, known as a Bunker. Only you have access to this, and the data never leaves.
Instantly see the media owners that are available in Discovery. To measure the intersection between your first-party data and the media owner’s audience, simply request access.
Instant see the intersection between data sets. Use the attributes in your data and other second and third-party data sources to conduct detailed analysis.
A luxury brand planned to launch an advertising campaign targeting lapsed customers. Using CRM data, they need to identify the optimum online publisher or group of publishers to activate through.
There are a number of challenges preventing this project moving forward:
Your raw data is never shared, ensuring it remains fully in your control at all times during analysis.
Move to privacy-safe PII connectivity to reduce reliance on third-party cookie technology.
Federated Architecture overcomes trust barriers by removing the need to share and centralise data.
Non-movement of data, differential privacy concepts and robust security controls reduce compliance burden.