Gener8 Labs
Psychographics

Unlocking the 'Why' with Attitudinal Intelligence

Published July 28, 2025

Goes beyond behavioural data to understand the motivations behind clicks, app opens, and purchases.

Abstract visualization of behavioural data points connecting to underlying psychological trait scores

Behavioural data can tell you exactly what a person did: the click, the app open, the purchase. It can't tell you why. That gap between action and motivation, what we call the Attitude Action Gap, is where most audience strategies quietly fall apart. Gener8 built Attitudinal Intelligence to close it.

Scoring the 'why': the methodology behind Attitudinal Intelligence

The framework is built on more than 60 survey questions probing personal values, lifestyle preferences, brand perception, openness to innovation, and susceptibility to social influence. Responses are distilled into 10-point scores across a handful of core dimensions (including Lifestyle & Values, Trust & Brand Perception, and Innovation & Openness), each of which can be joined back to the same individual's observed behavioural data.

The strength of the framework lies in its simplicity. Rather than drowning marketers in survey detail, it distils complex, noisy psychological data into a small number of meaningful attitudinal dimensions that are easy to act on.

Diagram of the Attitudinal Intelligence scoring framework, showing survey responses distilled into core attitudinal dimensions joined to individual behavioural data

Identifying emotional drivers behind Nintendo Switch 2

Applied to Nintendo Switch 2 buyers, the framework surfaces a story specs sheets can't tell. This audience indexes highest as Values-Driven, Brand Loyal, and Expressive Individualists: signalling that the purchase is powered by identity, nostalgia, and trust in the Nintendo brand at least as much as by any hardware feature.

Utilising Attitudinal Intelligence for segmentation

Because attitudinal scores sit on the same individual user ID as behavioural and transactional data, they can be layered directly onto existing audience segments, turning a purely behavioural cohort like 'frequent app openers' into a richer one like 'values-driven early adopters who open the app frequently.' That's the difference between targeting an action and targeting a motivation.

Top 33%of ChatGPT app users is where Attitudinal Intelligence-identified Early Adopters heavily index, validating the framework's predictive power against independent behavioural data.
Chart showing Attitudinal Intelligence-identified Early Adopters concentrated in the top third of ChatGPT app users

For brands and media owners, this means campaigns and creative can be built around why an audience behaves the way it does, not just what they've been observed doing, a foundation for messaging that actually resonates rather than simply retargeting a click.

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