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Round Lab Birch Juice Moisturizing Sun Cream vs Birch Juice Moisturizing Sun Serum SPF50

The short answer

Round Lab Birch Juice Moisturizing Sun Cream wins this comparison with a score of 68/100, ahead of Birch Juice Moisturizing Sun Serum SPF50 (55).

Scores are computed from 14 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner Round Lab Birch Juice Moisturizing Sun Cream

Round Lab Birch Juice Moisturizing Sun Cream

Round Lab
68score / 100
0 wins · 14 tied INCIDecoder ★ 3.8
Birch Juice Moisturizing Sun Serum SPF50

Birch Juice Moisturizing Sun Serum SPF50

Round Lab
55score / 100
0 wins · 14 tied

At a glance

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

Round Lab Birch Juice Moisturizing Sun CreamBirch Juice Moisturizing Sun Serum SPF50
Protection 59 59
Formula 74 57
Actives 74 48

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The record

Grouped and collapsible · Tap a group to fold

Protection2▾
Round Lab Birch Juice Moisturizing Sun CreamBirch Juice Moisturizing Sun Serum SPF50
SPF 50 —
UV filters 2 —
Formula4▾
Round Lab Birch Juice Moisturizing Sun CreamBirch Juice Moisturizing Sun Serum SPF50
Ingredient count 40 —
Star ingredients 3 —
Ingredients to avoid 23 —
Fragrance-free ✓ —
Actives8▾
Round Lab Birch Juice Moisturizing Sun CreamBirch Juice Moisturizing Sun Serum SPF50
Niacinamide ✓ —
Hyaluronic acid ✓ —
Vitamin C ✓ —
Ceramides — —
Retinoid — —
Salicylic acid — —
AHA exfoliants — —
Clay — —

Data sources: INCIDecoder

FAQ

Which is better, Round Lab Birch Juice Moisturizing Sun Cream or Birch Juice Moisturizing Sun Serum SPF50?

Round Lab Birch Juice Moisturizing Sun Cream has the higher overall score (68 vs 55).

What are the main differences?

Scores are computed from 14 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 14 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.