NEW YORK, March 28, 2017 /PRNewswire/ -- ContentSquare, a next-generation UX analytics solution, today unveiled its UX Performance Center, a first-in-class technology that enables digital teams to make empowered, data-driven UX decisions in real-time. Equipped with a knowledgeable, AI-powered Bot named Arti, the platform uses a combination of AI-driven expert systems and advanced algorithms to capture and track digital and mobile behaviors and offer tailored insights on how to optimize customer journeys. Its sophisticated and robust data analytics capabilities enable companies to experience increased productivity and revenue by providing them with actionable insights and eliminating the need to manually analyze data.
"With the launch of the UX Performance Center, any professional, whether they manage acquisition, content or usability, can now receive personalized notifications tailored to what's important to them," said Jonathan Cherki, CEO of ContentSquare. "This breakthrough solution takes into consideration users' moods, actions and locations while on a site, allowing them to have a unique and positive experience. It truly is a testament to the power AI can have on improving your business' ROI."
The UX Performance Center is the first AI-powered, innovation platform that provides insights in real-time of how to best optimize the customer journey, increase engagement and maximize conversion rates. It consists of three main components that can all be shared with other members of the team collaboratively through the platform:
- My Feed: My Feed is a personalized notifications center that includes real-time updates of positive and negative alerts, as well as the company's increasing and decreasing KPIs.
- My Insights: My Insights provides companies with tailored recommendations on how to best improve content, journey and usability to ensure visitors have the best experience possible.
- Discovery: By utilizing Discovery, companies are able to expand on their business goals by uncovering new alerts or improvements they may not have been aware of before. Machine learning drives these alerts and takes into account past "likes" and "dislikes" to form recommendations.
"Given the scope of our business and how crucial e-commerce sales are for us, the utilization of Arti has given us incredible insights into how to best optimize our website and in turn, increase our ROI," said Mathieu Bernard, Head of Ecommerce at Unilever. "The ability to see, in real-time, why a customer did or did not make a purchase is a ground-breaking tool and has vastly improved customers' experience on our site."
ContentSquare empowers brands to measure content performance, understand visitor intentions and explain consumer decisions when they have a unique experience by monitoring over one billion user mouse movements, screen touches and interactions. Regarded in the industry as one of most advanced ecommerce vendors, ContentSquare is pioneering the UX revolution, advancing with a combination of quick analytics and intelligent actions, all powered by the most cutting-edge solution on the market, artificial intelligence.
ContentSquare was founded in 2012 and is co-headquartered in New York and Paris, with a third office in London. ContentSquare's customers include hundreds of global brands, such as Accor, Bernardaud, Best Western, Kering, L'Occitane, L'Oreal, Lacoste, LVMH, Matchesfashion, Modani, TAG Heuer, Unilever and more.
ContentSquare is a user experience (UX) analytics and optimization platform that helps businesses understand how and why users are interacting with their app, mobile and web sites. We compute billions of touch and mouse movements and transform this knowledge into profitable actions that increase engagement, reduce operational costs and maximize conversion rates. Using behavioral data, artificial intelligence and big data to provide automatic recommendations, ContentSquare empowers every member of the digital team to easily measure the impact their actions and make fast and productive data-driven decisions to optimize the customer journey.