In Toronto, Canada, martech firm StackAdapt has launched Ivy Studio, an AI-first advertising hub promising marketers faster and more confident decision-making, via agents helping with planning, forecasting, analysis, optimisation and execution.
Founded in 2014, the firm operates a platform helping marketers to reach, engage and convert audiences with precision, and measure the results across the customer journey. In the past few years it has launched a number of measurement and insights features, and last week it added a targeting and measurement suite for the US political advertising market, combining political audience creation, voter intelligence, campaign measurement and optimization.
StackAdapt says competitive advantage among users of AI marketing agents will come from how well those agents 'understand' advertising. Ivy Studio does not require marketers to learn software workflows, rather allowing them to define the outcomes they want to achieve, leaving agents 'grounded in' the company's advertising intelligence to help uncover insights, identify opportunities, recommend next steps, and move work forward.
Users ask natural language questions to discover audiences, evaluate campaign performance, build forecasts, identify opportunities, and take action, all from one interface and all backed by supporting context for increased confidence. The system is already extensively used in-house, and the company says it is using OpenAI's advanced language models to further develop bespoke AI capabilities purpose-built for advertising and marketing.
Ivy Studio changes the paradigm of how marketers use our platform,' says co-founder and CEO Vitaly Pecherskiy (pictured). 'By moving core capabilities into an AI-first environment, we are enabling teams to accomplish in minutes what previously took hours or even the coordination of multiple teams. We are fundamentally shifting from operating software to driving business growth.”
Web site: www.stackadapt.com .
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
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