Marketers work across disconnected ecosystems covering media buying, customer data, analytics, creative production, attribution, and measurement. Each platform often claims credit for results while systems communicate poorly. StackAdapt aims to provide a single AI-powered adtech and martech platform that works across both buy-side and supply-side needs and the layers between them. The goal is a unified end-to-end self-learning AI platform that can handle customer data, creative personalisation, programmatic media buying, and measurement. The company has expanded into multi-channel capabilities including native, display, video, CTV, audio, DOOH, and email marketing, while building AI components for creative personalisation and strategic planning.
"“The whole industry hasn't fully cracked a true holistic end-to-end self-learning AI. You have a platform for marketing channels, you have a platform for advertising, you have platforms for analytics, and they don't really talk to each other very well,” Han said."
"“That's because platforms typically don't have access to the entire marketing journey or control over it due to the industry fragmentation that exists. Ultimately, StackAdapt will get to that point in a year or so.”"
"“StackAdapt, the Canadian AI-powered marketing platform, wants to change that by providing a single adtech and martech platform that operates as effectively on the buy side and the supply side and all of the layers of tech in between.”"
"“StackAdapt's long-term ambition is to solve that disconnect by building what Han describes as a unified end-to-end AI-powered marketing platform that is capable of handling everything from customer data and creative personalisation through to programmatic media buying and measurement.”"
#ai-in-advertising #adtech-and-martech #end-to-end-marketing-automation #creative-personalisation #programmatic-media-buying
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