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Karlsgate Expands Karlsgate Identity Exchange With the Addition of Leading Marketing Data Creator, AnalyticsIQ

AnalyticsIQ joins growing Karlsgate Identity Exchange, enabling secure sharing of powerful predictive data

Karlsgate, a secure data collaboration company, and predictive marketing data innovator, AnalyticsIQ, announced a partnership that will bring AnalyticsIQ’s B2C and B2B data to Karlsgate Identity Exchange. The partnership will give marketers, agencies, and technology companies across industries the ability to match and append data from AnalyticsIQ’s comprehensive taxonomy of people-based audiences that provide accurate insight into who people are, what they do, and why they do without sharing any personally identifiable information (PII).

“We’re so pleased to welcome AnalyticsIQ and their commitment to secure data sharing,” said Brian Mullin, CEO of Karlsgate. “Marketers and publishers no longer have to choose between predictive insights and consumer privacy. AnalyticsIQ’s addition to our network further enhances our ability to facilitate the exchange of data without users having to lose custody of their customer data.”

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As the first data company to blend cognitive psychology with data science, AnalyticsIQ data helps Fortune 500 brands, marketers, and data scientists gain deeper insight into the hearts and minds of individuals. Karlsgate Identify Exchange will facilitate new data opportunities while ensuring the highest level of data security and privacy compliance by using Cryptoidentity – encrypted, single-use pseudonymized tokens – and a distributed network architecture to match two data sets without sharing or exposing Personal Data identifiers.

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“Privacy and compliance are at the core of what we do at AnalyticsIQ. That’s why we are so excited to be a part of Karlsgate identity Exchange,” said Scarlett Shipp, Chief Product Officer at AnalyticsIQ. “As clients and data users become more and more concerned with their PII, our partnership with Karlsgate will enable the secure sharing of our accurate and predictive data in a way that does not expose consumer identities.”

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