Fragrances inspired by 1 Million Lucky Eau de Toilette
The original
1 Million Lucky
Rabanne
The two side by side
Our verdict
Editor reviewedWhat they share
Every one of its 12 notes is in the original, including Bergamot, Amberwood, Oakmoss
The main difference
Without cashmere wood and jasmine
What they share
Every one of its 13 notes is in the original, including Bergamot, Amberwood, Oakmoss
The main difference
Without cashmere wood
What they share
Shares 13 of its 14 notes, including Bergamot, Oakmoss, Patchouli
The main difference
Adds amber, drops amberwood
What they share
Every one of its 11 notes is in the original, including Bergamot, Amberwood, Oakmoss
The main difference
Without cashmere wood and jasmine
What they share
Shares 9 of its 10 notes, including Patchouli, Vetiver, Orange Blossom
The main difference
Adds amber, drops amberwood and bergamot
Our verdict
While both share a sweet, fruity-woody DNA, 1 Million Lucky leans into a richer, gourmand experience.
What they share
Shares 4 of its 14 notes, including Bergamot, Cedar, Patchouli
The main difference
Adds cashmere wood and grapefruit, drops lemon and pepper
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What they share
Shares 3 of its 10 notes, including Patchouli, Grapefruit, Jasmine
The main difference
Adds apple and aquatic, drops amberwood and bergamot
What they share
Shares 5 of its 9 notes, including Bergamot, Oakmoss, Patchouli
The main difference
Adds ambergris and orange, drops amberwood and cashmere wood
Scent profile
How we judge a match
We score each pairing on the two fragrance profiles: shared accords, overlapping notes, longevity and projection, and the occasions each suits. A good inspired-by scent captures the original's character rather than copying it molecule for molecule.
The full method, and what to look for in a dupe. Prices are UK retail and change often. Check before buying.
Inspired-by fragrances. Not affiliated with, endorsed by or produced by Rabanne. Match scores are our estimate of how alike two perfumes smell, calculated from their published notes, not a measurement. How we score similarity.