SKINCARE SCIENCE

Clinical Testing: What You Should Know as a Consumer

As consumers, we increasingly expect transparency in skincare claims and results. One phrase we now see more often on packaging and marketing is “clinically tested.”

The challenge is — clinically tested can mean many different things, and sometimes, not enough.

The best way we can advocate for ourselves is by understanding what this term actually involves. Here’s a breakdown of how testing and claims work in skincare, and how we at Flout approached it when developing our first formulations.

Understanding the Type of Claim

If you look closely at skincare claims, you’ll notice that most fall into two categories — ingredient-level claims and formula-level claims.

Ingredient-level claims

These rely on studies conducted by the supplier of a specific active ingredient. The ingredient is tested under optimal conditions — correct pH, compatible base, right concentration, and stability controls. If a brand replicates those same conditions in the final formula, the ingredient is expected to perform as shown in supplier studies.

Examples of ingredient-level measured claims:

“0.5% Retinol increased cell turnover by 35% in 8 weeks.”
“Niacinamide at 5% reduced hyperpigmentation by 21% after 12 weeks.”

These statements describe measured changes observed under controlled lab conditions for that ingredient — not necessarily the same formulation you’re buying.

Formula-level claims

Formula-level testing assesses the complete finished product — exactly as it will reach consumers. This ensures that the final blend of actives, stabilizers, carriers, and textures performs as intended when used in real life.

Examples of full-formula measured claims:

“Clinically proven to increase hydration by 72% after 4 hours.”
“Wrinkle depth reduced by 18% after 8 weeks, measured via 3D imaging.”

Neither approach is inherently better; it depends on purpose. If you’re addressing one specific concern, ingredient-based testing may suffice. But for a multitasking daily routine, full-formula testing provides a clearer picture of how everything works together.

At Flout, we believe in building everyday hero products that address broad, long-term skin goals like hydration, barrier strength, radiance, and resilience while leaving room to supplement with focused treatments when needed.

Where Does User-Perception Testing Fit In?

You may also come across claims like “95% of users said their skin felt smoother,” or “9 out of 10 women agreed their complexion looked brighter.” These come from user-perception studies, an important but distinct form of testing.

In a perception study, participants use the product for a defined period and then self-report what they observe or feel. Feedback often relates to texture, comfort, fragrance, and visible or tactile improvements such as brightness or softness.

While valuable for understanding how enjoyable or perceivable benefits are in daily use, these results reflect subjective perception, not objective measurement. They capture how users feel their skin has changed, rather than quantifying that change using instruments or imaging.

Perception studies complement clinical testing, they highlight user experience. But they are not equivalent to ingredient-level or formula-level clinical data, which measure statistically significant changes under controlled conditions.

At Flout, we view perception testing as valuable for understanding sensorial and emotional responses. However, our performance claims are always based on measured outcomes — data verified by independent labs and dermatologist-supervised instrumentation.

What’s Being Measured and How

At the most basic level are safety assessments, such as:
- Non-irritating or hypoallergenic status
- Toxin-free formulation
- Vegan or cruelty-free certification

Next come skin-health metrics measurable via instruments: hydration levels, barrier strength (via TEWL), elasticity, texture, fine lines, and brightness. Beyond these are concern-specific studies, such as acne, pigmentation, or melasma improvement.

Reliable testing is performed by an independent third-party laboratory and ideally reviewed or ratified by dermatologists.

The Flout Approach to Testing

As a new brand introducing original formulations, we wanted to ensure that the benefits we claim are measurable and replicable. We began with verified supplier data for every active and designed our formulas to maintain those actives in their most effective state — stable, compatible, and bioavailable.

We also went a step further: we clinically tested the entire formula. These studies were conducted by independent labs, under double-blind conditions, using instrument-based measurements and dermatologist oversight. Results were validated through high-resolution imaging to capture changes not visible to the naked eye.

HERE are the results of flout's clinical trial

Can the Results Be Generalized?

Even the most rigorous test must answer a key question: If it worked for the test group, will it work for me? This depends on study design — especially the sample size and participant composition.

The test group should broadly reflect the intended user population. Sometimes, testing on a stricter or more challenging subset helps establish robustness. For our first studies, we tested on women aged 35–60 with visible signs of photoaging, dullness, and uneven tone, who had not previously used similar products.

Our reasoning: if measurable improvement was seen in this group, the product would likely perform as well or better on less compromised skin.

In Summary — How to Read Claims Smartly

Think of reading skincare claims the way you’d read nutrition labels with curiosity, not cynicism.

Ask yourself:
- Is this claim based on an ingredient, a full formula, or a user-perception test?
- Is the result derived from subjective feedback or objective measurement?
- Does the sample size and test group make the claim relevant for me?

Understanding these nuances helps you separate science from marketing and choose products that align with both your skin goals and your values.