Reflektion Extension Optimizes Mobile Experiences for Retailers and Brands
Metal Mulisha Drives Sales and Improves Mobile Experience by Leveraging Personalization -- in the eCommerce context -- refers to the practice of creating personal interactions and experiences ... More Platform
Reflektion™, an innovator in retail predictive analytics, announced the extension of its website personalization solution to include mobile optimization. With this extension, mobile users will experience a more personalized and seamless online experience from any tablet or smartphone. One of Reflektion’s first customers, the La Jolla Group’s Metal Mulisha™, is seeing the benefits of the Reflektion mobile optimization with an increase in mobile revenue of almost 20 percent.
The Reflektion mobile optimization application utilizes both machine learning and predictive analytics to identify shoppers based on the device they are using as well as a number of past and present behaviors. Reflektion also incorporates “responsive design,” a technology that allows retailers to provide an optimal viewing experience for the shopper — regardless of whether the customer is using a smartphone, tablet or desktop/laptop. Additionally, if a user logs into a retailer’s eCommerce, also known as electronic commerce, digital commerce, or internet commerce, refers to the buying and selling o... More site over time from multiple devices, Reflektion will capture that data and learn to recognize the customer, whichever the device the shopper is using.
“Most of our shoppers these days are using smartphones and tablets to discover products, so we needed a solution that could provide an outstanding and personalized mobile eCommerce experience,” said La Jolla Group’s Director of eCommerce Ryan Cropley. “After deploying Reflektion, we were able to identify and then tailor the user experience to each customer. By personalizing the experience we were able to drive up mobile revenue almost 20% percent and dramatically increase mobile page views.”
For the mobile experience, Metal Mulisha shifted the layout of featured and personalized products, compared to the desktop experience. There are fewer elements on each page with a focus on multiple product images that are easily browsed. This shift is especially evident in the smartphone browsing experience.
“Reflektion uses predictive analytics to create more in-depth shopper profiles, including what devices a shopper uses to browse and purchase,” said Reflektion’s President and CEO Sean Moran. “Understanding devices and cross device purchasing patterns are an important part of how we personalize online experiences. Mobile optimization is a natural extension to Reflektion’s predictive, product recommendations and personalized full search capabilities that our customers leverage to drive sales.”
About Metal Mulisha
Metal Mulisha Clothing was launched in in 1999 by freestyle motocross riders, and the company speaks the language of nonconformity with distinctive apparel that includes graphic tees, jerseys, boardshorts, fleece, tanks, denim, and accessories, encouraging “men and maidens” to “join the domination” and express their rebellious spirit and daring attitude. In addition to its online channels, Metal Mulisha sells its products at more than 2,000 retailers worldwide.
Reflektion provides a predictive analytics platform and easily deployable solutions for retailers and brands. Based in Silicon Valley, Reflektion was founded in 2012 by machine-learning superstars to bring the most advanced technologies into commerce businesses. Reflektion offers a quick and easy way for retailers and brands to achieve greater revenue, better conversion and more page views, without investing in new systems. Reflektion does the number crunching, deep learning and application delivery from the cloud on a subscription basis. Reflektion’s patented algorithms reduce computational overhead by hundreds of times, enable modeling of millions of users every day and predict with high confidence what customers will do next. For more information visit www.reflektion.com.