“QUIN turns data into intelligent actions and hyper-personalize brand engagement in real time to increase our offer acceptance. We also truly learned from the high volume traffic platform and fuel the growth across our platforms in Germany and UK immediately”
Serkan Arslan, Project Manager, Vivense
Leading furniture e-commerce company in Europe
Vivense is one of the leading furniture e-commerce companies in Europe with over 1 million yearly deliveries, having a unique business model combining online experience with many showrooms offering free interior service.In their online stores; Vivense offers nearly 300.000 products in over 150 categories to over 10 million monthly online visitors. Vivense manages the furniture journey from sourcing products to delivery and after-sales service with over 110,000 m2 warehouses across Germany, UK and Turkey, while managing the whole experience from e-commerce to last-mile delivery through their strong e-commerce platform and mobile app.
Understanding and gaining insights from their real-time online visitor data and converting them to deliverable, optimal action in all of its e-commerce sites
Vivense had been running campaigns with plenty of offers in different categories but they were unable to increase the offer acceptance and had been providing discounts to buyers which results in hurt profits. Vivense was struggling to differentiate abandoners from real buyers and this reflects a low conversion rate, revenue loss and depressed profitability, especially in certain hours. Endless analysis of segments, customer journeys and A/B tests were not enough to optimize data to increase conversion and keep it stable. This challenge is sustained when they launched their new website in the UK and Germany with far lower monthly traffic. Recently launched platforms did not have enough traffic to manage the online audience to drive higher conversion.
Grow exponentially through game-changing technology for Vivense’s e-commerce platforms
Vivense plugged QUIN Audience Engine and advances customer-facing offers and emotional engagement potential for each customer. Vivense hyper-personalizes brand engagement and optimizes what is presented to the user in real-time to increase offer acceptance, upsell, and ultimately CLV. Growth started from the high-traffic platform and continued with recently launched platforms in Germany and the UK. Learning from the biggest platform transferred to the smaller platforms to drive growth immediately with Vivense’s customer data.
Deep behavioral learning, predefined automated actions, transfer learning to smaller platforms for continuous growth
QUIN Audience Engine provides real-time observation and response to customer interactions while learning different behaviors. Actionable visitor data allows to increase sales, optimise budgets and transfer learning to other platforms.