Mada

Mada

Technology, Information and Internet

We make finding what you love easy.

About us

We are redesigning retail through gamified, personalized, and inspired shopping experiences. Dubbed the dating app of shopping, The Mada App uses patented A.I. to recommend personalized outfits for each customer. We partner with the world’s leading brands and retailers, like Bloomingdale's, Shopbop, and Urban Outfitters.

Website
http://www.themadaapp.com
Industry
Technology, Information and Internet
Company size
11-50 employees
Headquarters
New York
Type
Privately Held
Founded
2017

Locations

Employees at Mada

Updates

  • View organization page for Mada, graphic

    4,051 followers

    At Mada, we believe that #zeropartydata is one of the most important factors in building a truly personalized shopping experience for your customer. But how do you seamlessly capture zero party data without exhausting the customer? On our consumer shopping app, Mada, we do this in two noteworthy ways: 1. Offering a short, interactive style quiz that asks unique questions, like a customer's style preferences, aversion to risk, etc. 2. Gamifying the outfit-finding experience. Customers swipe right and left on outfits recommended by our patented algorithm. They can swap out individual products, and customize outfits. It's creative, captivating, and allows the user to tell us what they like, and more importantly, don't like, on both a macro (overall trends) and micro (individual product) level. We believe that e-commerce sites that are able to creatively and effectively capture unique zero party data will be the ones to truly drive e-commerce forward. What are your thoughts? #zeropartydata #personalization #ecommerce #ai #fashiontech

  • Mada reposted this

    View profile for Madison Semarjian, graphic

    Founder at Mada

    This is why my team and I launched Mada: to help overwhelmed customers discover new brands and styles organically in an information-overloaded digital world. When we first started, there hadn't been any real innovation in the e-commerce space since the dot.com bubble bust. In my college dorm room, we created Mada's patented algorithm, that uses A.I. and machine learning to make it easy for customers to find products they love. #ai #genz #socialmedia #consumers #shop #luxury #fastfashion

    View organization page for Vogue Business, graphic

    559,565 followers

    It’s not just you. Nobody knows where to #shop right now. Luxury pricing is climbing out of reach for most #consumers, who find it hard to discover new, good-quality brands. Fast fashion is out of favour with most young adults who feel financially secure enough to invest in longer-lasting clothing, but they don’t know where to graduate to. Discovering new brands organically feels difficult, with inspiration on #socialmedia through Instagram and TikTok now mostly paid for. Unless you have a #luxury fashion budget, chances are you feel lost in a sea of cheap hauls and sticker shock. “I find it hard to find affordable brands that are good products that are good quality,” says #TikTok fashion creator and commentator Alyssa Mosley. “If you want natural fabrics, it is going to be a premium — especially right now.” For many, #fastfashion is a last resort, not a preference. What’s going on? Find out: https://lnkd.in/ew8RH7i4

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  • View organization page for Mada, graphic

    4,051 followers

    How do you win over Gen Z? At Mada, we believe the secret to this comes down to one word: attention. At Mada, our average engagement time per session is over 11 minutes, which far outperforms some of the main social media platforms. Our method? Creating a gamified, personalized, and highly engaging customer experience. Customers swipe right or left to like or reject personalized outfits powered by patented A.I. The gamified experience catches their attention, the personalization helps us keep it. How do you try to win over Gen Z? Share your thoughts with us below! #genz #shoppingapp #artificialintelligence #firstpartydata #aifashion #generativeai #shoppingplatform #mada

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