Swiss Sense

Retail

11.5% uplift in online purchase conversion rate

Online purchase conversion
+11.5%
In-store interest
+8.5%

Services

Growth hackingCRO
Swiss Sense case study

About Swiss Sense

Swiss Sense, a fourth-generation Dutch family business, is a leading European retailer and manufacturer of beds, mattresses, and sleep accessories, recognized for its commitment to quality and innovation in sleep solutions. Operating over 130 stores and a strong e-commerce platform across the Netherlands, Belgium, Germany, Austria, and Denmark, Swiss Sense employs more than 2,000 staff and consistently prioritizes both personalized customer service and product craftsmanship to promote optimal sleep.

Founded
1918
staff
2000+
Location
The Netherlands, Belgium, Germany, Austria and Denmark

The challenge

Swiss Sense wanted to take the next step in its digital journey. The goal was twofold: increase the number of online purchases and inspire more people to visit their physical stores. The question was how to achieve both goals at once, focusing on the Dutch, German and Belgian markets, while staying true to the personal touch the brand is known for.


Main challenges:

  • Achieve both more online purchases and increased store visits simultaneously.
  • Maintain the personal brand experience in the Netherlands, Germany, and Belgium.
"schurq stands out for its hands-on approach. In our collaboration we have made great steps forward together and look forward to everything that lies ahead."
Ursula Hilgers
Manager E-Commerce

Our approach

We started with a deep analysis of Swiss Sense’s digital ecosystem. By exploring the data in Insider, we identified where friction existed in the funnel and which customer segments offered the biggest opportunities.

From this research, we formulated hypotheses that we could test immediately. For instance, adding social proof to product pages to strengthen trust and encourage visitors to take the next step. Every test was designed to make a real difference, grounded in psychology and proven conversion principles.

Insider became the core platform for this journey. By combining segmentation, predictive audiences and utilizing zero-party data, we were able to rapidly build highly personalized customer journeys. These journeys adapted to individual behavior across digital touchpoints and supported intent toward in-store visits and online purchases.

Not every idea creates equal impact. That’s why we prioritized experiments based on potential results and effort. Quick wins such as adjusting calls-to-action, testing layouts and integrating exit-intent triggers provided fast insights and measurable uplifts.

Testing became the heartbeat of the strategy. We launched A/B/C tests and monitored them in real time. Each week, the weakest variant was replaced by a stronger version. This created a continuous cycle of improvement. Over time, the learnings were scaled up across markets and categories. In total, 1,700 experiments were set up and validated.

Throughout the process, close collaboration with Swiss Sense was key. Weekly evaluations kept both teams aligned on results, learnings and the next opportunities to explore.


Analysis & insights

Phase 1

In-depth analysis of the funnel and customer segments, formulation of initial hypotheses.

Hypotheses & quick Wins

Phase 2

Testing hypotheses and quick improvements such as social proof and calls-to-action.

Personalized journeys

Phase 3

Building dynamic customer journeys using segmentation and zero-party data.

Optimization & scaling

Phase 4

Continuous A/B/C testing, weekly improvements, and scaling across multiple markets.

Achieved results

+11,5%Online purchase purchase conversion rate
Starting from the baseline measurement+8,5% in-store interest

By combining data, creativity and a structured growth hacking process, Swiss Sense achieved stronger results both online and offline. Across 1,700 experiments in 2025, we achieved an 11.5 percent uplift in online purchase conversion and an 8.5 percent uplift in store interest. These results reflect users that were included in the experiments and are calculated relative to a matched control group, validated at 90 percent significance.

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