How North AI builds your target audience

Every North AI simulation runs against an audience built to mirror your real market. The profiles are not drawn from a generic panel, and they are not invented at random. We build them in two stages: first we establish who your audience actually is, then we make that audience behave like real people.

Stage 1: who your audience is

Each segment is anchored in your actual market context. We look at your category, your competitive landscape, and the signals that show where demand is already proven, where it is growing, and where it is currently underserved. The result is a distinct, defensible set of profiles that reflect the people you are genuinely competing for, including the ones your competitors are overlooking.

Stage 2: making the audience behave like real people

This is where our technology departs from a standard AI persona. Each member of the audience is a behavioural model, not a static description, calibrated against real neurophysiological research including EEG and eye-tracking studies of how people actually notice, process, and respond to content. When your content is tested, the audience reacts the way a real audience would, moment to moment.

How every reaction is read

Every reaction is read through three lenses that reflect how attention really works:

• Attention: did the content break through and get noticed at all?
• Engagement: did it land emotionally and cognitively, or simply wash over them?
• Intent: does it move them to act, whether that means watching on, sharing, clicking, or buying?

Why this is substantive, not cosmetic

• The audience represents your market at scale. Each profile stands in for a sized slice of real people, so you see impact in human terms rather than abstract percentages.
• It spans the full spectrum, from core advocates to indifferent sceptics, so the read is honest rather than flattering.
• It is grounded in measured human response rather than model opinion, which is why we can show how content is likely to land before any media budget is committed.

What this gives you

That is the core of what we do: turn "how will this perform?" into something you can test, see, and act on before release. The underlying research has been developed with the support of Innovate UK and the Alan Turing Institute.

North AI delivers simulated audience testing before launch, using real neuroscience data. Visit north-ai.com.

Tags: #AudienceModelling #Neuroscience #Simulation #PreLaunchTesting #NorthAI

Lucas Cazelli

CPO at North AI

Lucas Cazelli is Head of Product at North AI, leading product strategy and validation for the company's AI-powered video intelligence platform. His background in computational simulation and risk assessment across large datasets in R&D product development shapes North AI's predictive modelling, turning raw attention data into reliable performance forecasts. He is based in London, UK.