Analysis of ESS data proved that psychographics (Political Interest, Media Trust) were stronger behavior predictors than simple demographics.
Identified a prime 15-20% market segment: a high-interest, low-trust user frustrated with existing media and willing to pay for quality.
Delivered a focused qualitative plan to test the prototype with 20-28 high-value users, saving time and R&D budget.
The client had a product concept for a news site but an undefined audience. They believed demographic and socioeconomic factors were the key to understanding media usage. Without a clear target, the project risked significant R&D waste by building a product for “everyone” and appealing to no one, failing to stand out in a saturated market.
My goal was to provide a data-driven definition of the *most viable* target audience. The strategy involved two phases:
1. Quantitative Analysis: Use European Social Survey (ESS) data to discover *what* segments exist.
2. Qualitative Planning: Design a plan to interview those segments to understand *why* they behave as they do, directly informing the prototype.
To find the opportunity, I first analyzed the ESS data to identify key variables. This confirmed that media habits (`netuse`, `tvtot`) were less correlated with simple demographics and more strongly linked to psychographics.
The research fundamentally shifted the client’s product strategy and provided a clear, actionable path forward, de-risking the project.
This project was a powerful reminder that “who” a customer is (demographics) is far less important than “how” they think (psychographics). The client’s initial assumption—that age or income would be the key—would have led them to build a generic product for a disengaged audience.
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