David Steinberg of Zeta Global appears on NYSE Wired's Marketing Leaders at theCUBE to discuss AthenaOS, intent-driven artificial intelligence and Zeta Global's enterprise intelligence strategy. Steinberg outlines the company's evolution from a marketing platform to an artificial intelligence native enterprise intelligence provider and they describe a re-architected platform, a 550 million-person data cloud and a rethink of signal capture for the agentic web. theCUBE Research and Gemma Allen of theCUBE guide the conversation on martech innovation, platform integrations and how deterministic data drives real-time decisioning.
Steinberg reports a current average return on marketing spend of 600 to 700 percent and sets an ambition to reach 1,000 percent. They highlight proprietary deterministic data comprising more than 550 million opted-in profiles and 5,000 to 7,000 data elements per person, low token and infrastructure spend through in-house models, and integrations with marketing cloud platform and large language model products. They cite partnerships with OpenAI and Palantir as catalysts for expanding AthenaOS from marketing into broader enterprise use cases, including customer data platform and enterprise intelligence deployments that leverage generative AI and intent data to improve real-time decisioning.
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David A. Steinberg, Zeta Global
David Steinberg of Zeta Global appears on NYSE Wired's Marketing Leaders at theCUBE to discuss AthenaOS, intent-driven artificial intelligence and Zeta Global's enterprise intelligence strategy. Steinberg outlines the company's evolution from a marketing platform to an artificial intelligence native enterprise intelligence provider and they describe a re-architected platform, a 550 million-person data cloud and a rethink of signal capture for the agentic web. theCUBE Research and Gemma Allen of theCUBE guide the conversation on martech innovation, platform integrations and how deterministic data drives real-time decisioning.
Steinberg reports a current average return on marketing spend of 600 to 700 percent and sets an ambition to reach 1,000 percent. They highlight proprietary deterministic data comprising more than 550 million opted-in profiles and 5,000 to 7,000 data elements per person, low token and infrastructure spend through in-house models, and integrations with marketing cloud platform and large language model products. They cite partnerships with OpenAI and Palantir as catalysts for expanding AthenaOS from marketing into broader enterprise use cases, including customer data platform and enterprise intelligence deployments that leverage generative AI and intent data to improve real-time decisioning.
