Applause vs Ysatis

Порівняння Applause від Castle Forbes та Ysatis від Givenchy пліч-о-пліч

Castle Forbes

feminine

4.36(11)

Акорди

Givenchy

1984feminine

4.09(3,516)

Акорди

Підсумок порівняння

Унікальні для Applause (4)

Диня Black Currant Білі квіти Деревні ноти

Унікальні для Ysatis (27)

Спільні акорди (4)

БілоквітковийДеревнийАнімалістичнийСолодкий

Властивість	Applause	Ysatis
Бренд	Castle Forbes	Givenchy
Рік	—	1984
Оцінка	4.36	4.09
Концентрація	—	—
Стать	feminine	feminine
Усього нот	4	27

Часті запитання

What's the difference between Applause and Ysatis?+

Applause is a feminine fragrance (marketed to women, though wearable by all) from Castle Forbes (undated) dominated by White Floral accords. Ysatis is a feminine fragrance (marketed to women, though wearable by all) from Givenchy (1984) leaning on Woody accords. They share 4 accords: White Floral, Woody, Animalic, Sweet.

Which is better, Applause or Ysatis?+

By community rating, Applause scores 4.36/5 vs Ysatis at 4.09/5. The "better" choice depends on what you value — longevity, projection, season fit, or signature character.

Do Applause and Ysatis smell similar?+

They share a small fraction of their ingredients — expect noticeably different experiences. Ysatis: The provided community opinions do not contain substantive discussion about Ysatis by Givenchy.

Which lasts longer, Applause or Ysatis?+

Longevity varies by skin chemistry, concentration, and application method.

Which season suits Applause vs Ysatis?+

Applause scores highest for all seasons wear; Ysatis scores highest for all seasons wear. Applause leans daytime, Ysatis leans daytime.

Пульс настроїв спільноти — Ysatis

Змішаний

94 думок · Джерело: спільнота r/fragrance

0.0

/10

The provided community opinions do not contain substantive discussion about Ysatis by Givenchy. The Reddit posts focus on general fragrance collection appreciation, recommendation threads for other fragrances, and collection showcase discussions, but do not include specific commentary about Ysatis that would allow for accurate analysis of community sentiment, strengths, weaknesses, or use cases.