L'Oréal is moving from demographic targeting to deeper, values-based psychographic segmentation to stay relevant with complex audiences.

PSYCHOGRAPHIC SEGMENTATION FOR DEEPER CONNECTION

In April 2024, L'Oréal[1] announced it was restructuring its global marketing strategy, pivoting away from mass-market segmentation towards “cultural communities built around shared values.” Rather than focusing on broad demographics like age or gender, the brand aimed to understand what drives customer identity at a deeper, psychological level. This shift was neither isolated nor superficial—it marked a broader trend among brands seeking relevance in an era where audience complexity outpaces traditional models.

This raises the question: What happens when the demographic map is insufficient?

The answer lies in reshaping marketing rules—transitioning from reach to resonance, from generalisation to nuance, and from product-centricity to value-centricity. Central to this transformation is the emergence of psychographic data, values-driven alignment, and a more agile, innovation-ready approach to brand strategy.

Understanding the Core Concepts: From Demographics to Psychographics

Traditional marketing has traditionally divided audiences by age, gender, income, or location. However, these demographic markers reveal little about a person’s motivations, desires, or decision-making style. 

Conversely, psychographics delve into the inner landscape: beliefs, attitudes, motivations, aspirations, lifestyle choices, and emotional triggers. A psychographic profile aims to reveal what people value, how they make decisions, and what narratives they connect with.

This distinction is not semantic—it is strategic.

According to Kotler and Keller (2016)[2], psychographics enable marketers to explore why consumers make purchasing decisions, not just who they are. For instance, two 32-year-old women in Melbourne may share similar incomes and education levels. Yet, one might value individual freedom and environmental sustainability, while the other prioritises community tradition and economic security. A demographic perspective identifies similarities; a psychographic perspective reveals divergence. Another example is Nike, which promotes performance and personal excellence, appealing to competitors, achievers, and optimists, while Allbirds focuses on environmental consciousness and simplicity, targeting eco-idealists and mindful consumers. Both companies cater to similar age groups, but reach vastly different psychographic profiles.

This evolution lays the groundwork for 

 Improved Targeting: Psychographic segmentation enables brands to craft messages that resonate authentically, increasing the relevance and effectiveness of campaigns.

 Enhanced Engagement: By tapping into what truly matters to consumers, brands can create content and experiences that stand out in a crowded marketplace.

 Stronger Loyalty: Aligning brand messaging and offerings with customer values fosters trust and emotional connection, turning buyers into loyal advocates.

Technological Lens: The Rise of Psychographic Segmentation and Data Personalisation

The technological enabler of this shift is the explosion of data analytics capabilities. Platforms such as Meta, Google, and TikTok no longer serve as mere ad distributors—they are behavioural laboratories. Algorithms can now detect what users like, why they like it, when they engage, and how their emotional states change over time.

Psychographic segmentation increasingly uses AI tools that analyse:

 Search behaviour

 Social media sentiment

 Purchase patterns

 Content interaction

 Language usage and emotional tone

Firms like Resonate and NielsenIQ are pioneering integrated platforms that combine values-based segmentation with predictive modelling. This allows marketers to identify audiences who “might buy" and predict when and why they might do so—and how to ethically and effectively trigger that moment.

Strategically, this opens a new dimension of personalisation—what Gartner (2024) calls “empathic AI.” Unlike surveillance-style tracking, empathic AI leverages data to reflect and respond to emotional context, offering relevance without intrusion.

Economic and Business Lens: From Product Differentiation to Identity Alignment

The traditional competitive edge was established on product features, pricing, and placement. Although these factors remain important, they are no longer sufficient in a saturated and emotionally fragmented marketplace.

What increasingly matters is alignment with consumer identity.

Consider how Patagonia has woven environmental activism into its brand DNA. Its values aren't just optional but core to the business model. Customers don't merely buy jackets; they engage in a movement. Similarly, Nike’s strategic use of athlete activism (e.g., the Colin Kaepernick campaign) resonates with a segment of consumers who prioritise social justice over neutrality.

A report by Deloitte (2023) found that 57% of consumers are more loyal to brands that demonstrate values aligned with their own. This trend is particularly strong among Gen Z and Millennial consumers, for whom choosing a brand expresses personal identity rather than just consumption.

In this context, brand equity becomes less about logo recognition and value resonance. Marketers must, therefore, shift from transactional to transformational frameworks, building awareness and allegiance.

Cultural and Social Lens: The Fragmentation of Mass Culture

The decline of mass media has given rise to “culture clusters”—self-organised communities bound by shared interests, beliefs, and subcultural affiliations. TikTok does not broadcast to the masses; it curates micro-narratives for niche groups, such as book lovers, gym enthusiasts, slow-living minimalists, and more.

This decentralisation of culture necessitates that brands tailor their messaging to smaller, more specific audiences.

Generic ads designed to appeal to “everyone” now resonate with no one. Cultural relevance must be localised, context-sensitive, and informed by real-time listening. This isn’t about cultural appropriation—it’s about cultural participation. Brands must join the conversation, not dominate it.

Take Fenty Beauty. By centring its entire brand strategy on inclusivity, it disrupted an industry that had long excluded darker skin tones. It succeeded not by simply adding more shades, but by making diversity its founding principle. This psychographic strategy addresses an unmet identity need rather than a product gap.

Ethical and Regulatory Lens: The Moral Dimension of Data Use

With greater insight comes greater responsibility. As psychographic data becomes more detailed, concerns about manipulation, consent, and digital ethics also increase.

Cambridge Analytica’s scandal was not about targeting itself but about covert psychological profiling to achieve ideological influence. The line between persuasion and exploitation is razor-thin.

In response, regulations like the EU’s GDPR and California’s CPRA increasingly demand transparency, data minimisation, and opt-in models. This compels marketers to shift towards ethical innovation, ensuring personalisation promotes user empowerment, not behavioural control.

Brands that flourish in this environment will integrate trust architecture into their marketing design. As trust becomes the new currency, ethical integrity emerges as a competitive advantage.

Case Study: IKEA and the Emotional Blueprint

In 2023, IKEA launched “Life at Home,” a global research initiative that explores how people feel in their domestic spaces. The study uncovered five core emotional needs: belonging, ownership, security, comfort, and privacy.

Rather than merely selling furniture, IKEA leveraged this insight to reshape its marketing around “home as an emotional experience.” Product lines were restructured not by room, but by mood and need. Campaigns showcased stories of multi-generational families, co-living creatives, and refugee-led communities—all grounded in psychographic narratives rather than aspirational lifestyles.

The result is a 14% increase in customer engagement and a 21% lift in brand favourability in emerging markets (IKEA Global Report, 2024).

This demonstrates the strategic power of emotional intelligence combined with values-based storytelling. It’s not merely marketing—it’s about creating meaning.

Strategic Implications: What Marketers Must Do Next

To compete in this psychographically driven landscape, brands must recalibrate their strategic direction:

1. Shift from Segments to Signals

Stop regarding customers as static categories. Instead, monitor dynamic changes in beliefs, needs, and aspirations. Use data to understand intent, not just identity.

 2. Build a Values-Aligned Brand Identity

Establish your core values and ensure they are apparent in your operations, collaborations, and public communications. Values aren’t just slogans—they need to be actionable.

3. Localise the Narrative, Globalise the Purpose

Craft culturally relevant stories while grounding them in a universal mission. This allows for reach without dilution.

 4. Invest in Data Ethics and Consent Protocols

Trust is built through transparency. Ensure that users understand how their data is used and provide them with genuine control over it.

5. Integrate Marketing with Product Development

Insights drawn from psychographic data should influence campaigns, product innovation, and customer experience design.

Conclusion: The Future Belongs to the Emotionally Intelligent Brand

The question is no longer whether marketing should evolve, but how deeply and quickly it should do so. As audiences become more self-aware and socially aware, brands must follow suit.

Psychographic data, values alignment, and strategic innovation represent not just a new toolkit, but a new philosophy. Marketing is no longer a game of impressions but of interpretations. The thriving brands will be those that listen deeply, think ethically, and act meaningfully.

Those who adapt early will shape the next chapter.

[1]  L'Oréal Group. (2024). Annual Marketing Innovation Brief. Retrieved from https://www.loreal.com

 

[2] Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education

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