Albert: Ai Marketing
Marketing And Advertising, 102 W 38th St, Herzliya Pituah, New York, 10018, United States, 51-200 Employees
Phone Number: 80********
Who is ALBERT: AI MARKETING
Albert is the first-ever artificial intelligence platform that plugs into a digital advertisers existing paid search, social and programmatic accounts and operates them. During Q1 of 2022...
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Headquarters: 102 W 38th St, Herzliya Pituah, New York, 10018, United States
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Date Founded: 2010
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Employees: 51-200
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Revenue: $10 Million to $25 Million
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Active Tech Stack: See technologies
Industry: Marketing and Advertising
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Frequently Asked Questions Regarding Albert: AI Marketing
Answer: Albert: AI Marketing's headquarters are located at 102 W 38th St, Herzliya Pituah, New York, 10018, United States
Answer: Albert: AI Marketing's phone number is 80********
Answer: Albert: AI Marketing's official website is https://albert.ai
Answer: Albert: AI Marketing's revenue is $10 Million to $25 Million
Answer: Albert: AI Marketing has 51-200 employees
Answer: Albert: AI Marketing is in Marketing and Advertising
Answer: Albert: AI Marketing contact info: Phone number: 80******** Website: https://albert.ai
Answer: Albert is the first-ever artificial intelligence platform that plugs into a digital advertisers existing paid search, social and programmatic accounts and operates them. During Q1 of 2022, the company was acquired by Zoomd, a publicly-traded leading MarTech company in the User Acquisition and mobile app marketing industries. Unlike tools that automate a single aspect of a campaign in a single channel, Albert combines Robotic Process Automation (RPA) with AI to manage all aspects of paid digital campaigns within and across channels. No other solution does that today. Albert is helping Fortune 500 companies create human+machine digital advertising teams where artificial intelligence handles massive multivariate testing and repetitive data-driven adjustments to deliver against goals. Humans collaborate with the tech to answer ongoing strategic, creative, intuition and emotion-related questions by creating a learning agenda that the machine runs with. Results prove that these human+machine teams produce exponentially better outcomes than either human or machine could produce on their own.
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