New partnership: minubo and epoq reduce data silos in e-commerce and provide an expanded basis for decision-making in the area of personalization

Ettlingen, July 6, 2022 – minubo, the Hamburg-based company with extensive expertise from more than 150 implemented business intelligence projects, and epoq internet services, the expert in the field of AI-supported 1:1 personalization for e-commerce, are both reducing data silos in e-commerce and, through their partnership, providing an expanded basis for decision-making in terms of personalization.

Goodbye data silos – systems and touchpoints in communication

The best possible implementation of 1:1 personalizationin e-commerce occurs when data is used consistently at every touchpoint and analyzed in real time. Often, data from individual touchpoints is collected separately and therefore cannot be shared. Knowledge about customers is thus stored in data silos. The reason for this is that different project managers are often responsible for the respective touchpoints. "This results in decentralized data management, which prevents the exchange of information between touchpoints and thus comprehensive 1:1 personalization. That's why epoq generates a uniform knowledge base for every online store as a sound basis for decision-making for intelligent algorithms," says Thorsten Mühling, CEO & Co-Founder of epoq internet services.

But data silos don't just arise in the area of personalization. The use of different systems, tools, and applications means that relevant data cannot be linked in a meaningful way. This is exactly where minubo comes in, providing a central collection point for data across all systems and enabling 360° transparency of company results, allowing employees from different areas, especially online shops and marketing, to make more effective decisions. Minimizing returns, managing product ranges, and optimizing ad spend are just some of the results of the analysis: in short, it enables profitability to be maximized.

Hello added value – expanded basis for decision-making on the way

In addition to central data management, minubo's business intelligence solution helps e-commerce decision-makers analyze data even more effectively in order to make better decisions. The connection with epoq now brings additional benefits for shop operators. This is because the processed key figures, such as return rate, margin, or stock range from minubo, can also be incorporated into the epoq knowledge base and provide the intelligent algorithms with further information for decisions regarding personalization.

This is intended to expand the basis for decision-making by AI algorithms. Depending on the use case, certain KPIs for shop operators are further optimized while simultaneously improving the customer experience for shop customers. "In the case of personalization, we can further optimize the approach based on historical transaction figures through targeted data enrichment," says Andreas Fischer, CEO of minubo. For example, new customers can be shown targeted product recommendations that have particularly low return rates and sufficient stock availability, ensuring a positive shopping experience. New customers are thus more likely to become repeat buyers. At the same time, shops can increase their margins by strategically placing their product range. The correct selection of relevant key figures and their effectiveness in the AI algorithm can be easily confirmed and continuously optimized with A/B testing in the respective campaigns of joint customers.