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.
Latest posts
We all knew heading into the holiday season that consumers were going to be highly sensitive to price due to the economic conditions, paving the way for an increase in online deal seeking. Coupon websites experienced growth in visits throughout the holiday season as shoppers searched for promotional codes to use online and printable coupons for offline purchases. The weekly market share of visits to coupon websites increased 15% from the previous year during the week of Thanksgiving & Black Friday and also increased 16% during the week of Cyber Monday. Overall, visits to the custom category of 70 websites increased 17% and 12%, in November and December, respectively, as compared to the previous year. Coupon website referred traffic to retailers relies upon the availability of promotional codes and coupons for a given retailer. The availability of coupons and desired savings can certainly help to finalize and capture the transaction, making participation with coupon websites beneficial to the majority of retailers – particularly as many offer discounts & promotions during the holiday season and consumers inevitably share them anyway. In December 2008, the most commonly visited product categories following a visit to a website within the coupon category were department stores, computers, and appliances & electronics. One interesting point is that many shoppers are looking for coupons from a specific retailer or brand, suggesting that many coupon searchers may be further along in the purchasing funnel and are close to making the purchase – but may need some type of final incentive. For the week ending December 27, 2008, 69% of the searches for the top 300 search terms that include ‘coupons’ also included a specific brand such as Pizza Hut, JCPenney, or Target. The other 31% of searches to include the term ‘coupons’ were generic in nature, seeking out grocery coupons, online coupons, and free printable coupons.