The North American beauty industry has been booming especially with the rise of indie beauty brands. It is estimated that the industry has blown up to be aindustry and it isn’t slowing down. So how are consumers deciphering between all the new and existing brands that are being thrown their way? It’s becoming more and more of a hassle to find the right product at the right price. Perusing through reviews on sites such as Ulta and Sephora hours.
In addition to aggregating reviews from all corners of the internet, and providing synopses and click-throughs to seamlessly purchase products, Mira serves as a community for eager beauty consumers to ask and answer questions in a non-judgmental, supportive atmosphere. The app leverages the power of facial recognition and AI to match beauty consumers with products perfect for their face shape, skin tone + type, price range, and more....
Since launching a month and a half ago, here are some top insights Mira has seen according to Hack and Garcia. “The average question gets 6 responses, almost 50% of all responses contain product recommendations, almost 20% of users are active in the community with either asking/answering questions or creating product reviews and there have been nearly 200k products saved/collected on the platform since launch. Every additional interaction with a product makes our algorithms stronger.