Innovation
Innovating Around Trends – The Role of “Science” in Skincare
8th June 2026
Science Is Trending in Skincare. But What Does “Scientific” Actually Mean to Consumers?
Innovation teams are constantly under pressure to respond to emerging trends.
Sometimes that trend is an ingredient. Sometimes it’s a behaviour. Sometimes it’s a cultural shift.
And sometimes, as the skincare industry has experienced over the last few years, it’s an entire language.
“Science-backed skincare” has become one of the dominant narratives in beauty. Clinical ingredients. Dermatological claims. Lab-inspired packaging. Scientific terminology. Suddenly, every brand wanted to look credible, expert and evidence-led.
But there’s a challenge hidden inside any trend-led innovation strategy:
Just because a trend is growing doesn’t mean every brand should respond to it in the same way.
At 2CV, this is where customer understanding becomes critical.
Because before businesses commit to new positioning, new packaging or entirely new innovation pipelines, they need confidence that customers will actually interpret those decisions in the way they intend.
When “Science” Means Different Things to Different Audiences
Working with a major global beauty portfolio, 2CV explored a deceptively simple question:
What does “scientific skincare” actually look and feel like to consumers?
The answer turned out to be far more nuanced than expected.
Across the portfolio, some brands already leaned heavily into clinical credibility, while others balanced science with aspiration, luxury and emotional appeal.
The challenge wasn’t whether science mattered.
It clearly did.
The challenge was understanding:
- What signals science to different audiences?
- Which scientific claims feel trustworthy?
- What feels credible versus performative?
- How should different brands express science differently?
- Where does science enhance premium positioning, and where does it undermine it?
This is where research moved the conversation beyond assumption.
Moving Beyond Trend Following
The project combined multiple layers of insight.
First, social and semiotic analysis explored how “science” was already being represented across the category; identifying recurring visual codes, language patterns and brand behaviours.
From there, qualitative research uncovered major differences in how audiences interpreted scientific credibility.
For some consumers, science meant stripped-back clinical packaging, ingredient transparency and “no nonsense” communication.
For others, especially premium skincare shoppers, scientific credibility could comfortably coexist with luxury aesthetics and aspirational branding.
In other words: consumers weren’t rejecting science.
They were rejecting science that felt inauthentic for the brand delivering it.
That distinction matters enormously for innovation teams.
Granular Insight Creates Better Innovation Decisions
The research then moved into detailed testing.
Consumers reacted to a large volume of product packaging, claims and advertising executions using heat mapping and prioritisation exercises.
This allowed the team to pinpoint:
- Which visual elements triggered perceptions of scientific credibility
- Which claims felt believable versus marketing-led
- Which phrases increased trust
- Which messages created confusion
- Where communication became overly complex
- How responses differed across audience segments
Importantly, this wasn’t just broad strategic guidance.
It created highly actionable direction for individual brand teams.
Not simply:
“Lean into science.”
But:
“Say this, not that.”
“Remove this claim.”
“This audience wants more evidence.”
“This audience expects more luxury cues.”
That level of granularity is where insight becomes commercially valuable.
Confidence Before Commitment
Trend-led innovation often creates pressure to move quickly.
Competitors are shifting. Consumer conversations are evolving. Leadership teams want momentum.
But reacting to trends without understanding how customers interpret them can create expensive mistakes.
Research helps brands avoid surface-level imitation.
It helps businesses understand where they authentically fit within a trend, how far they should lean into it, and what customers actually need in order to trust the innovation.
That’s the role insight should play in innovation.
Not slowing ideas down.
Giving businesses confidence before commitment.