Pair vs ILIA Beauty

Questions and answers

Research behind their key ingredients

• Benefits of topical hyaluronic acid for skin quality and signs of skin aging: From literature review to clinical evidence

  Sodium hyaluronate · Dermatologic Therapy, 2022

• Design, characterization, and clinical evaluation of argan oil nanostructured lipid carriers to improve skin hydration

  Argania spinosa kernel oil · International Journal of Nanomedicine, 2014

• The 24-hour skin hydration and barrier function effects of a hyaluronic 1%, glycerin 5%, and Centella asiatica stem cells extract moisturizing fluid: an intra-subject, randomized, assessor-blinded study

  Glycerin · Clinical, Cosmetic and Investigational Dermatology, 2017

• Efficacy of a topical gel containing chitosan, chlorhexidine, allantoin and dexpanthenol for pain and inflammation control after third molar surgery: A randomized and placebo-controlled clinical trial

  Allantoin · Medicina Oral, Patologia Oral Y Cirugia Bucal, 2020

• Effects of 1,3-propanediol associated, or not, with butylene glycol and/or glycerol on skin hydration and skin barrier function

  3-butylene glycol · International Journal of Cosmetic Science, 2024

• Botulinum toxin injection as a single or combined treatment with non-cross-linked high molecular weight and low molecular weight hyaluronic acid gel for neck rejuvenation: A randomized clinical trial

  Hydrolyzed hyaluronic acid · Dermatologic Therapy, 2022

• Efficacy and Tolerability of Stable Hybrid Cooperative Complexes of High- and Low-Molecular Weight Hyaluronic Acid in Asian Patients: An Open-Label Study

  Hydrolyzed hyaluronic acid · Aesthetic Plastic Surgery, 2026

• Efficacy and safety of combination cream of stimu-tex AS™ (spent grain wax, Argania Spinosa Kernel oil, Butyrospermum Parkii (shea butter) extract), and saccharide isomerate after fractional CO2 laser procedure: split-face, double blinded, randomized controlled trial

  Argania spinosa kernel oil · Lasers in Medical Science, 2025

Behind this comparison

Lovi compares products by their fit scores, calculated from the full ingredient list with brand-independent rules our dermatologists and cosmetic chemists build and review, and personalizes every pick with AI trained on the real results of millions of users. Lovi trains its fit score models on a proprietary dataset built from more than 10,000 expert-labeled products and more than 100,000 simulated examples, following an internally consistent methodology presented at Cosmoprof, AMWC, and Skin of Color Update.