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Better choices.
For all men's clothing sellers.
Personalise your retail experience to the human behind the customer, so everyone buys with confidence and keeps coming back, but the clothes don't.
Lifestyle-aligned expertise and hyper-relevant recommendations that customers embrace will unlock unique zero-party data to improve your entire menswear business.
1.
Less returns
Instantly match garments to customer work or social lives. Suggest complementary colours for skin, hair & eyes. Or ideal designs & materials that manage the local weather.
Highly relevant recommendations means less returns and increased AOV.
2.
Happy customers
Good clothes are one of life's great pleasures but doubt creeps in online. Be trusted by engaging with real human needs.
Clothes that improve lives go into carts, don't get abandoned and rarely get returned.
3.
Lifestyle insight
Relevant & scalable style expertise blended with practical advice connects your garments with lifestyle needs. Offering conviction and confidence in purchases.
Know your customer and their motivation to buy your clothes, act accordingly.
4.
Trust & loyalty
Unique zero party data that provides a real benefit, when used to recommend on real needs, shows the customer comes first. It also helps them avoid returns and unworn items.
Retain, increase LTV, reduce churn and avoid lost revenue.
5.
Predict revenue
Benchmark success by seeing which garments meet customer needs before you launch. Optimise marketing & production to those profiles.
Activate the data you have to make an impact on STR, ad spend, waste & more.
Clothes should fit lives, not just bodies.
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The garments your customers wear are the foundation for memories, comfort, and confidence.
Vincent analyses your inventory to seamlessly integrate hyper-relevant recommendations, personalised style expertise and practical advice that empowers customer satisfaction.
Elevate your store by going past sizing solutions and purchase history to engage every customer on what matters to them.
It’s not about clothes—it’s about life.
This is a win-win.
Shoppers willingly share their data when it genuinely benefits them - no bad buys, no money wasted, clothes they wear a lot from brands who care.
Vincent connects you with your customers like a trusted friend by backing choices, or gently nudging towards better options, which builds trusting relationships and creates brand advocates.
Simultaneously, you learn what customers truly want via a source of valuable zero-party data that was previously missing.
See, win-win.
of consumers are willing to exchange
their data for better experiences [McKinsey]
48%
I love this shirt, I wear it all the time.
Four questions lead to great clothes that deliver value beyond the price tag.
Answer them for your customers and they can build a perfect wardrobe.
Answer them for your marketing or production teams and you have an end-to-end solution that can systematically help you understand your customer and benchmark sales data
inline with their profiles.
Is this the right colour?
Does this look right on me?
That colour might be better for a shirt than a jacket
Bored of navy blue or black?
These brighter options are great for your skin tone.
When I wear white I look so pale, any ideas?
This warmer tone will help with that.
What about this green jumper?
That's a solid match for your hair and eyes.
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There's no space for bad clothes.
Unworn clothes harm brands and customers alike. Garments that don't improve lives are a drain physically, psychologically and environmentally. Brand loyalty and repeat custom dissolves when bad decisions are made.
Using Vincent to learn and deliver on the real needs of your customers will optimise your entire clothing business. Less returns and less waste (materials, ad-spend, shipping). More happy customers and more sales.
All that down to good clothes.
2.9x
revenue increase for brands using
zero-party data [BCG]
What do shoppers think?
These people used an early iteration of the Vincent platform to find clothes instead of using a search engine or retailer recommendation.
profit from a 5% increase in customer retention [Bain]
