In this Kassenzone episode, Mario Konrad, co-founder of Ryzon, talks about building and developing the D2C sports brand: from the beginnings in the triathlon niche to the strong focus on cycling to international growth in the USA. This involves premium positioning, European production and the conscious decision against platforms and wholesale.
Mario explains why community proximity, performance products and a clear brand core are crucial for high customer loyalty and why apps, bundles and sets play a central role in retention and shopping cart size.
How is Ryzon doing against discount pressure, Chinese competitors and marketplaces like Temu?
An overview of the conversation with Mario Konrad:
(4:46) The Change in the Bike Market
(12:08) Ryzon's growth and challenges
(15:53) Customer Retention and Retention
(27:02) Growth Strategies and Expansion Plans
(37:35) Competition from Chinese brands
(45:02) Looking to the future
Why tech infrastructure and AI are the next lever for D2C brands
The example of Ryzon shows that profitable growth in the D2C sector today has two levers: excellent customer loyalty and full control over your own platform. Mario underlines in conversation that the Ryzon app already generates over 30% of revenue — a clear signal that the direct, technologically supported channel to the customer is the most important value driver. But with increasing complexity, for example due to expansion into the USA or the management of bundles and sets, purely manual processes are reaching their limits.
Etribes helps companies to understand this tech implementation not only as an IT project, but as a strategic business lever. Whether it's the smart integration of customer data platforms (CDP) to unlock the full potential of app data, or automating logistics processes for international rollout — we transform complex system landscapes into scalable ecosystems.
Especially in the area of AI transformation, we see huge leaps in efficiency for brands like Ryzon: Generative AI today makes it possible to scale the proximity to the community described by Mario to a global level through intelligent personalization and autonomous agents in data automation. Through targeted AI impact quantification, we create clarity about where AI can directly increase sales efficiency.
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