Pine Calming Cica Cleanser vs Pine Calming Cica Lotion
Pine Calming Cica Cleanser — Pick the Pine Calming Cica Cleanser — it leads these groups: Formula 3
Tap a group name to see the proof · The scoring method is public
The short answer
Pine Calming Cica Cleanser wins this comparison with a score of 42/100, ahead of Pine Calming Cica Lotion (40).
The main differences: Ingredient count (32 vs 33) · Star ingredients (2 vs 1) · Ingredients to avoid (12 vs 18).
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 Pine Calming Cica Cleanser if you care about…
- Ingredient count 32 +1 vs 33
- Star ingredients 2 +1 vs 1
- Ingredients to avoid 12 +6 vs 18
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Pine Calming Cica Cleanser | Pine Calming Cica Lotion | Where they differ | |
|---|---|---|---|
| Ingredient count | 32 | 33 | Pine Calming Cica Cleanser |
| Star ingredients | 2 | 1 | Pine Calming Cica Cleanser |
| Ingredients to avoid | 12 | 18 | Pine Calming Cica Cleanser |
The record
Grouped and collapsible · Tap a group to fold
Formula4▾
| Pine Calming Cica Cleanser | Pine Calming Cica Lotion | |
|---|---|---|
| Ingredient count | 32 | 33 |
| Star ingredients | 2 | 1 |
| Ingredients to avoid | 12 | 18 |
| Fragrance-free | ✓ | ✓ |
Actives8▾
| Pine Calming Cica Cleanser | Pine Calming Cica Lotion | |
|---|---|---|
| Niacinamide | — | — |
| Hyaluronic acid | ✓ | ✓ |
| Vitamin C | — | — |
| Ceramides | — | — |
| Retinoid | — | — |
| Salicylic acid | ✓ | ✓ |
| AHA exfoliants | — | — |
| Clay | — | — |
Data sources: INCIDecoder
FAQ
Which is better, Pine Calming Cica Cleanser or Pine Calming Cica Lotion?
Pine Calming Cica Cleanser edges ahead 42 to 40 and leads in Formula.
What are the main differences?
The main differences: Ingredient count (32 vs 33) · Star ingredients (2 vs 1) · Ingredients to avoid (12 vs 18).
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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