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COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye Patch vs Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream

The short answer

Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream wins this comparison with a score of 72/100, ahead of COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye Patch (56).

Scores are computed from 12 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye Patch

COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye Patch

COSRX
56score / 100
0 wins · 12 tied
🏆 Overall winner Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream

Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream

Glow Recipe
72score / 100
0 wins · 12 tied INCIDecoder ★ 3.7 View on Amazon →

At a glance

0–100 per group, normalized within the category · Tap a group for details

COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye PatchGlow Recipe Guava Vitamin C Bright-Eye Gel-Cream
Formula 69 69
Actives 48 74

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The record

Grouped and collapsible · Tap a group to fold

Formula4▾
COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye PatchGlow Recipe Guava Vitamin C Bright-Eye Gel-Cream
Ingredient count — 48
Star ingredients — 2
Ingredients to avoid — 23
Fragrance-free — ✓
Actives8▾
COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye PatchGlow Recipe Guava Vitamin C Bright-Eye Gel-Cream
Niacinamide — ✓
Hyaluronic acid — ✓
Vitamin C — ✓
Ceramides — —
Retinoid — —
Salicylic acid — —
AHA exfoliants — ✓
Clay — —

Data sources: INCIDecoder

FAQ

Which is better, COSRX 5 PDRN Collagen Vitalizing Hydrogel Eye Patch or Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream?

Glow Recipe Guava Vitamin C Bright-Eye Gel-Cream has the higher overall score (72 vs 56).

What are the main differences?

Scores are computed from 12 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

How are the scores calculated?

We normalize 12 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.