Optimizing your campaign strategy
Without a common language, marketing and advertising technologies can’t communicate efficiently. Collaborating in a secure space with trusted partners is a good way to match and resolve identities, allowing you to build more effective, measurable campaigns.
Experian® offers data collaboration services in our own secure environment, in your environment via a crosswalk matching process or with one of our vetted data clean room partners.
Data clean rooms are an ideal place to perform this matching, because they provide multiple layers of protection for that data, including encryption, two-factor authentication and other measures. In addition, these clean rooms support data matching and connect disparate data sources to create a connected view of consumers.
Data clean rooms
Process, store and use large data sets without compromising privacy or security in data clean rooms with specialized partners.
Effective data matching
Link disparate data sets to a single unique identifier to enhance marketing and targeting efforts while maintaining the integrity of first-party data.
What is a data clean room?
Data clean rooms are specialized spaces where organizations can process, store and use their data without compromising consumer privacy or security. In clean rooms, consumer data is anonymized, and organizations can gain insights from the data.
Frequently asked questions
Data collaboration is the process of gathering and connecting data from both internal and external sources for new insights.
Data matching, also known as record linkage or identity resolution, refers to the process of comparing two or more data sets and matching them against each other. Data matching helps remove duplicate data and improve overall data quality.
Data clean rooms are specialized spaces where organizations can process, store and use their data without compromising consumer privacy or security. In clean rooms, consumer data is anonymized, and organizations can gain insights from the data.
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