Vivense uses QUIN Audience Engine which provides advanced customer analytics, hyper personalization, and real-time capabilities across all of its platforms for continuous growth

The Client

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.

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The Problem

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.

The Solution

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.