Segmentation with purpose
The financial world is standing on the brink of a structural shift. With the introduction of the FCA’s new “Targeted Support” regime, firms now have the opportunity—and obligation—to serve consumers in a way that bridges the gap between generic guidance and fully personalised advice. The ambition is to close the longacknowledged advice gap and bring meaningful investment support to the many individuals who currently receive none at all. It goes without saying that at everyoneINVESTED we could not agree more.
At the heart of this lies a deceptively simple word: SEGMENTATION. While far from new, segmentation becomes foundational in this context. Segmentation is no longer a marketing convenience; it evolves into a regulated framework that determines what firms may or may not do.
This is exactly where everyoneINVESTED’s sciencebased technology proves its value.
Why segmentation matters more than ever
Under Targeted Support, firms are expected to design readymade suggestions for groups of consumers with shared needs and characteristics. These groups must be meaningful, not too broad, not too narrow, and they must be grounded in a repeatable, evidencebased rationale. Decisions made at the segment level replace the traditional factfind. Suitability is assessed before distribution, not afterwards. And governance must be robust enough to withstand scrutiny.
Segmentation is no longer a background activity. It is the backbone of the new regime.
From selfassessment to measured behaviour
Most segmentation approaches rely on selfassessment questionnaires: pick an option, get a score, fall into a bucket. These methods are simple but they embed personal bias at the moment of answering. People respond based on how they want to see themselves, not always how they actually behave when facing risk or uncertainty.
everyoneINVESTED takes a fundamentally different approach.
The screenflow of our “financial personality test” does not ask people to describe themselves. Instead, it measures how they think when confronted with risk–reward tradeoffs. The method is rooted in decision science, intuitive for users and anchored in peerreviewed research. It quantifies rational and emotional drivers on a continuous scale, never forcing people into artificial boxes created by questionnaire designers.
What emerges is a behavioural dataset that captures how individuals respond to risk, context and loss. These datapoints are interoperable, comparable across populations and suitable for both regulatory use and operational scale.
This distinction is crucial: Targeted Support requires objectivity, repeatability and evidence. Behavioural measurement delivers exactly that.
Why a sciencebased segmentation model if fit for purpose
The FCA stresses that the segmentation layer must be defensible. It must be grounded in real behavioural differences between groups and similarities within them. And it must be sufficiently granular to be meaningful without becoming personalised advice.
A segmentation model built on behavioural metrics naturally matches these criteria:
- It is evidencebased and repeatable
Because the metrics result from observed choices rather than selfdeclarations, firms can demonstrate how each segment is constructed and why each individual falls where they do.
- It captures underlying drivers of financial behaviour
Risk sensitivity, context sensitivity and loss sensitivity are fundamental dimensions recognised in behavioural science. They allow firms to model segmentlevel needs and risks in a structured way.
- It avoids overfitting to personal data
The aggregate of behavioural metrics creates distinct groups without drifting into fully personalised profiling. The same dataset can also support personalisation under other regimes (like Consumer Duty or MiFID), but only when the firm chooses to apply it that way.
- It scales naturally
Large scale user panels in a digital-only setting and addressing a majority of non-experienced investors, have confirmed high completion rates of the short engaging screen flow. Firms can therefore deploy the framework across large customer bases.
Segmentation as strategic advantage
Targeted Support introduces a new competitive landscape. Firms that bring stronger data, deeper behavioural insight and more scientific segmentation will be able to give clearer justification for their readymade suggestions. They will be better placed to reach the vast consumer segments who have historically been excluded from investment conversations. A model backed by behavioural science is a strategic differentiator.
A future of increased financial participation, at scale
Targeted Support is about increasing financial participation amongst the general public, similar to Europe’s Retail Investment Strategy. To achieve this, firms need segmentation models that are robust enough for regulators, intuitive enough for consumers, and scalable enough for massmarket impact.
everyoneINVESTED’s technology provides exactly these foundations. It transforms a short interactive screenflow into a powerful lens on consumer intent, enabling firms to build segments that are fair, evidencebased, ready for scrutiny and genuinely clientcentric.
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