
After a six-month beta period, collaboration in Snowflake Data Clean Rooms using Experian’s offline or digital graph is now generally available for all clients. As part of this, Experian is excited to announce that Experian’s identity graph will be integrated into Snowflake’s Data Clean Rooms. With the growing importance of data privacy and marketing efficiency, this partnership builds off of Experian’s previously-announced integration into Snowflake’s AI Data Cloud for Media.

Adding Experian’s identity graph to Snowflake Data Clean Rooms helps advertisers, advertising platforms, and measurement partners work more effectively. Built upon Experian’s rich offline and digital identity foundation, with support for various identifiers across platforms, collaboration in Snowflake Data Clean Rooms helps clients maximize the value of their data and meet the diverse needs of modern business:
- Collaborate with partners for richer data insights
- Achieve higher match rates
- Improve audience building
- Produce more accurate and complete reports
- Ensure data privacy
- Seamless integration of AdTech and MarTech platforms
Regardless of the identifier type you are looking to collaborate on, Experian has the identity data in Snowflake Data Clean Rooms to support you and your partner. This leads to higher match rates and more resolved data for you to use to benefit your media initiatives.
“Integrating Experian’s identity graph into Snowflake Data Clean Rooms marks a transformative leap for digital marketing. This collaboration empowers advertisers, programmatic platforms, and measurement partners with unparalleled accuracy, privacy, and efficiency. Together, we are excited to provide innovative solutions to meet the evolving needs of our clients.”
Kamakshi Sivaramakrishnan, Head of Data Clean Rooms at Snowflake

The Experian and Snowflake partnership showcases how collaboration can enhance scalability and cost-efficiency. Data clean rooms provide a secure environment where multiple parties can share, join, and analyze their data assets without leaving the clean room or exposing the underlying data. By integrating Experian’s identity graph within Snowflake’s secure platform businesses of all sizes can receive advanced data collaboration and identity tools without the high costs usually involved.

The integration prioritizes consumer privacy and data security. Backed by Experian’s Global Data Principles, Experian’s deep roots in data protection and security provide customers with the most trusted way to share data and protect consumer privacy. With Experian’s graph in Snowflake Data Clean Rooms, customers will get a solution that respects customer consent, safeguards sensitive data, and ensures that processing occurs with the utmost respect for user confidentiality and preferences.
Further, Snowflake Data Clean Rooms uses advanced methods to preserve privacy, such as differential privacy and secure computations on encrypted data, enabling data security and integrity. Together, these methods prevent unauthorized access by keeping sensitive data within the secure confines of the cleanroom on a strict, collaboration-to-collaboration basis.

The collaboration between Experian and Snowflake significantly enhances data matching and identity resolution within the Snowflake Data Cleanroom. Experian’s identity solution uses digital identifiers like hashed emails, MAIDs, and CTV IDs and offline identifiers like name and address. This allows advertisers to reach more consumers and enrich their data. Marketers can easily use their first-party data in the cleanroom, and with Experian’s Graph, they get higher match rates for more accurate targeting and campaign measurement.

The continued partnership between Snowflake and Experian provide advertisers, platforms, and measurement providers a secure and effective way to collaborate. This sets the stage for continued innovation in programmatic advertising, ensuring that our solutions evolve in step with our clients’ needs.
If you’re not utilizing clean rooms for collaboration but have advanced identity needs, you can license our Graph and seamlessly integrate it into your Snowflake account.
Reach out to our team to learn more
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With the emergence of email addresses as a currency for brands to communicate with their consumers offline; attaching email data to in-store purchases lays the groundwork for future advertising strategies. However, this advantage in having an additional digital touchpoint also creates a new challenge for marketers. How do they connect what they know about their customers via offline data and PII, or personally identifiable information, with what they want to know about their online behaviors and interactions? Taken a step further, how can they create actionable strategies that connect these two streams of consumer insights in order to drive them to make more future purchases; and even become loyalists? At a time when the shift from traditional to online shopping feels more like a landslide; connecting online and offline data has never been more valuable or more urgent. The solution for these marketers lies in the framework of identity resolution; and a key capability called hashed email onboarding. Hashed email onboarding is a privacy-safe way to connect consumer email addresses to their related digital devices and other digital identifiers. The methodology prevents the consumers actual email address from being readable; while still providing marketers a connection between those emails and other touchpoints for an individual. Instead of understanding the customer journey in two distinct parts; how they interact with a brand or company offline and separately how they interact with a brand online; hashed email onboarding allows for the two parts to be woven together in a holistic view of that consumer. The power of connecting these data sets can be seen when combining offline and online attribution and measurement to improve frequency capping and look-alike modeling. It’s important to note that not all identity resolution vendors that onboard hashed emails function in the same way or provide the same level of data. Some connect only to desktop or only to mobile devices; while others don’t actually make direct linkages at all- they simply provide the hashed emails as a targetable digital audience for upload. While hashed email onboarding and the connection between offline and online data is a powerful strategy; it needs to be as structured as possible across the most data available to reveal truly efficient targeting and measurement strategies. Tapad, a part of Experian has built a hashed email product feature that works with the existing flexibility of The Tapad Graph to deliver the most holistic consumer view in the structure that works best for your business objectives. Get in touch
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Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today