In San Francisco, data science company AlikeAudience has launched a data collaboration tool called AURAR, promising marketers the ability to prepare 'ideal audiences' through privacy-compliant collaboration with first-party data.
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AlikeAudience was founded in 2015 and helps advertisers to connect with their target audiences at scale while complying with GDPR and CCPA regulation. The firm, which gathers its information from consumer-consented CRM data, billions of unique mobile signals, and transaction data from multinational credit card companies, is headquartered in Sunnyvale, California, with offices in Singapore, Hong Kong, Sydney and Tokyo.
AURAR is available through the Snowflake Marketplace and AI Data Cloud, and integrates with major ad tech platforms. Features include automated audience enrichment, strengthening first party data with additional attributes from third-party sources; lookalike modeling - using advanced propensity modeling to identify high-value prospects at scale; and secure collaboration via the Snowflake Native App Framework.
CEO and co-founder Bosco Lam (comments) comments: 'AURAR enables marketers to prepare ideal audiences to drive and optimize their media campaigns while maintaining the highest standards of data security and privacy. By leveraging Snowflake's Native App Framework, we're delivering a solution that reduces friction, cost, and risk while dramatically increasing campaign optimization speed.'
Web site: www.alikeaudience.com .
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