1025 Dokdo Cream vs 1025 Dokdo Lotion
1025 Dokdo Cream — Pick the 1025 Dokdo Cream — it leads these groups: Actives 1
Tap a group name to see the proof · The scoring method is public
The short answer
1025 Dokdo Cream wins this comparison with a score of 38/100, ahead of 1025 Dokdo Lotion (34).
The main differences: Ingredient count (42 vs 31) · Star ingredients (1 vs 2) · Ingredients to avoid (22 vs 17).
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.
At a glance
0–100 per group, normalized within the category · Tap a group for details
How to choose
Pick the 1025 Dokdo Cream if you care about…
- Ceramides ✓ vs —
Pick the 1025 Dokdo Lotion if you care about…
- Ingredient count 31 +11 vs 42
- Star ingredients 2 +1 vs 1
- Ingredients to avoid 17 +5 vs 22
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| 1025 Dokdo Cream | 1025 Dokdo Lotion | Where they differ | |
|---|---|---|---|
| Ingredient count | 42 | 31 | 1025 Dokdo Lotion |
| Star ingredients | 1 | 2 | 1025 Dokdo Lotion |
| Ingredients to avoid | 22 | 17 | 1025 Dokdo Lotion |
| Ceramides | ✓ | — | 1025 Dokdo Cream |
The record
Grouped and collapsible · Tap a group to fold
Formula4▾
| 1025 Dokdo Cream | 1025 Dokdo Lotion | |
|---|---|---|
| Ingredient count | 42 | 31 |
| Star ingredients | 1 | 2 |
| Ingredients to avoid | 22 | 17 |
| Fragrance-free | ✓ | ✓ |
Actives8▾
| 1025 Dokdo Cream | 1025 Dokdo Lotion | |
|---|---|---|
| Niacinamide | — | — |
| Hyaluronic acid | ✓ | ✓ |
| Vitamin C | — | — |
| Ceramides | ✓ | — |
| Retinoid | — | — |
| Salicylic acid | — | — |
| AHA exfoliants | — | — |
| Clay | — | — |
Data sources: INCIDecoder
FAQ
Which is better, 1025 Dokdo Cream or 1025 Dokdo Lotion?
1025 Dokdo Cream has the higher overall score (38 vs 34) and leads in Actives. Choose 1025 Dokdo Lotion instead if Ingredient count matters more to you.
What are the main differences?
The main differences: Ingredient count (42 vs 31) · Star ingredients (1 vs 2) · Ingredients to avoid (22 vs 17).
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.
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