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To help you find more pieces you’ll enjoy, we personalise what you see using different types of information.
When you use search, we look at a range of signals to decide which results to show you and in what order, so that they’re as relevant as possible.
Learn more.
Some recommendations are based on simple, contextual details, such as:
Country or region: For example, which Souve site or language version you’re browsing.
Product details: Like brand, colour, price range, category or material.
Your selections: Filters and sorting options you choose while exploring products.
Typical behaviour: What other customers usually view, click or buy in a similar context.
We can also tailor suggestions more closely to you personally, using information such as:
Your preferences: For example, brands or creators you follow or mark as favourites.
Past purchases and returns: What you’ve bought before and what you decided to send back.
Browsing activity: The products and categories you’ve viewed or clicked on while using Souve.
Size information: Sizes you’ve ordered and kept in the past, which helps us suggest better-fitting options.
