Executive Summary
Written by Conveo

Executive Summary

Across 50 completed live walkthroughs, the morning skincare routine emerges less as a beauty ritual and more as a daily balancing act between aspiration and constraint. Participants want skin that feels hydrated, looks healthy, supports glow, and—critically—behaves under makeup. But in practice, the AM routine is often negotiated under time pressure, incomplete information, and trial-and-error layering. The biggest truth from this study is that consumers are not struggling to buy products; they are struggling to make multiple products work together reliably in real life.

The skincare–makeup handoff is where this tension becomes most visible. Moisturizer is the pivotal step: when texture, amount, or absorption are off, makeup can turn shiny, patchy, or pill. While many participants have found personal workarounds, those hacks are inconsistent and often only partially solve the problem. This creates a category-level opportunity to improve both product performance and routine confidence through clearer sequencing, dose guidance, faster-absorbing textures, and simplified systems that reduce the need for guesswork.

Commercially, the opportunity is not just to promise “better skin,” but to deliver a more executable morning. Participants consistently asked for products and systems that are makeup-safe, fast, intuitive, and easy to trust: clearer on-pack guidance, measured pumps, streamlined routines, trial-first kits, and compatibility reassurance. In other words, the winning AM solution is one that helps people feel they can get it right on busy mornings—not just one that performs well in isolation.

Number of interviews started

55

Number of interviews completed

50

Average duration of interviews

42 minutes

Study Demographics

The study includes 50 participants, spanning ages 18 to 45. The sample skews adult and routine-established: 44% of participants are ages 35–44, 32% are 25–34, 16% are 18–24, and 8% are 45+. This matters because many respondents are navigating mature, highly personalized routines built over years of experimentation rather than just beginning skincare discovery.

Makeup use is a meaningful part of the sample context, which strengthens the relevance of the skincare–makeup findings. Nearly half of participants (48%) wear facial makeup 5–7 days per week, 36% wear it 3–4 days per week, and 16% wear it 1–2 days per week. Country and gender identity were not available in the study facets provided, so those distributions could not be verified from the dataset.

Key Findings

1. The real AM problem is not motivation—it is execution under pressure

Participants are deeply motivated to care for their skin. They want hydration, glow, protection, and confidence. But the lived morning routine is often compressed by rushing, interruptions, and low tolerance for friction. What gets lost is not intent, but precision: steps are skipped, waits are shortened, and “good enough” often replaces “done correctly.” This is why time and clarity surfaced so strongly across the study—people are trying to do the right thing, but the routine is rarely designed for the speed of real life.

“I will try, using fewer steps. Glow is my top priority. I'm a minimalist. I like things efficient, simple, quick.”

2. Moisturizer is the hinge point between skincare success and makeup failure

The most commercially important discovery is that moisturizer disproportionately determines whether makeup wears beautifully or breaks down. Among observed makeup-interaction issues, shine/oiliness affected 50% of participants, patchiness 28%, and pilling 18%. Across all three, moisturizer appeared most often as the step that most affects performance. Consumers are not rejecting hydration—they are reacting to formulas, dosing, and layering behaviors that leave skin too slick, too tacky, or not settled enough for base makeup.

“If I'm not using the right, primer and moisturizer under my skin, you can definitely tell after a couple of hours, my forehead gets really greasy.”

“It's the amount of product being used as layers and reducing the layers help, with prevention of the pilling.”

3. Consumers want fewer products—but more certainty from the ones they keep

Participants are open to simplification, but not at the expense of efficacy or control. Most currently mix brands because different products do different jobs better: texture, specific actives, price/value, and wear under makeup all drive brand mixing. Yet this mixing creates its own friction, including irritation, texture incompatibility, separation, and pilling. The ideal future state is not blind loyalty to one brand; it is a system people can trust to perform across steps without forcing them into endless experimentation.

“If my skin is looking hydrated, if it's looking not very oily and that makeup is going on really well, that I know it is working.”

“Jess, if you just give me the step order, that will work great for me.”

Recommended follow-up studies

This study makes clear that the next wave of learning should move from broad opportunity identification into solution validation. The most valuable follow-up work will test not only what consumers say they want, but what actually improves execution, confidence, and makeup compatibility in the moment.

  1. Makeup-Day Routine Optimization Test
    Conduct in-home or mobile ethnographic testing of 2–3 simplified AM routines with controlled differences in moisturizer texture, SPF format, and wait-time instructions to identify the highest-performing sequence for real makeup wear.

  2. Packaging & Instruction Usability Sprint
    Prototype packaging concepts with step numbering, dosage icons, QR micro-tutorials, and measured pumps, then test whether they reduce confusion, over-application, and routine time in live morning use.

  3. Compatibility Claims Validation Study
    Run a structured product-system study to test whether “makeup-ready in X minutes,” “no-pilling,” and cross-product compatibility claims measurably improve trust, adoption, and perceived wear performance.

  4. Offer Architecture & Conversion Research
    Evaluate the commercial appeal of three offer models—a minimalist starter kit, a modular single-brand AM system, and a trial-first sample pathway—to determine which best balances convenience, personalization, and willingness to pay.