minubo Use-Cases

Touchpoints, conversions, attribution

Customer Journey Analysis

Which touchpoints make which contribution to conversion? The 360° view of individual customers allows you to map customer journeys across all touchpoints (e.g. in the online shop, app, store or email). This gives you a fuller understanding than ever before regarding customer behaviour between and within the different channels. In addition to predefined attribution models in minubo, you can also integrate your data into external AI and machine learning modules, and thereby exploit the full potential of attribution.

Marketing channels, customer behaviour, profitability

Acquisition analysis

Do you want to know which channels generate the most customer acquisition and how profitable customers from the different channels really are? How do they behave after the initial purchase and does a follow-up purchase occur? Automatically prepared acquisition information makes it easy for you to evaluate the performance and efficiency of the marketing channels through selected key figures and to derive recommendations for action.

Gross profit, potential, action fields

Profitability deep dive

Dive deep into the world of numbers. View the complete contribution margin calculation of products or customers across all sales channels, from order value to contribution margin III, including cost of sales, payment, fulfilment, marketplaces and marketing costs. Only companies who know their gross profit can be successful in e-commerce.

Purchasing behaviour, database, integration

Shopping basket analysis

In the search for structural correlations in purchasing behaviour, minubo shows you the way. Thanks to a consolidated database and the possibility to directly integrate it into third party systems via minubo feeds, you can easily and quickly find out which products are frequently bought together

Comprehensiveness, transparency, customer journey

Omni-channel transparency

By breaking down the data silos, minubo creates a comprehensive omni-channel database. This includes data from order management systems, e-commerce platforms, web tracking tools, but also checkout and store data. These are correspondingly linked in the data model, made available in the DWH and then displayed in the front-end as complete journeys, both for individual viewing and for aggregated and detailed analysis.

“Our data is important capital for us, and we want to make it more usable in our network. minubo enables us to do just that: Both at the INTERSPORT headquarters and at our retailers, we are establishing better, data-driven processes for our employees through simple data access. "

Hannes Rumer, Board Member Intersport Deutschland

CUSTOMER STORY
"minubo helps us a lot in our day-to-day work. I use it every day with my team to be able to carry out flexible product range analyses with a comprehensive set of key figures that we need for this. A tool in which everything is consolidated and where we get all information we need in everyday life."

Anna Blunck, Category Management Avocadostore

CUSTOMER STORY
“minubo's segmentation and automation capabilities have a major impact on our email campaign results – this enables us to not only save time and resources but also to optimize our customer communication significantly.”

Thomas Johanning, Head of Data Insights ZooRoyal

CUSTOMER STORY
"minubo offers incredibly good customer support that you can rely on. We always feel well taken care of and in case of open questions or new requirements we always get the best support. This really allows us to use the full potential of a constantly growing self-service BI solution."

Alan Frei, Co-Founder & CMO Amorana

CUSTOMER STORY
“With minubo, we've finally established a data-driven culture in all business areas. Actionable analyses are run by several team members on a daily basis and used for decision-making, because: Gut feeling is good, but gut feeling and data insights make us far more intelligent!”

Nicolas Metzke, CEO Melvin & Hamilton Digital

CUSTOMER STORY
"Due to the extensive analysis potential of the customer and product data in minubo, we can offer our customers tailored product recommendations – this increases customer satisfaction and minimizes the return rate. Thus, minubo offers us a great lever for profitability and enables the scalability of our "Curated Shopping" business model."

Sebastian Boguth, CFO SugarShape

customer story

Many companies struggle with the same problem. Key performance indicators are defined differently everywhere. There are no guidelines, and even less comparability. This is where the “Commerce Reporting Standard” (CRS) initiative comes in. In collaboration with our co-initiators from Project A, we have developed a clearly defined system of trading metrics and KPIs. Every commercial enterprise should be able to freely access this standard and benefit from the shared knowledge – regardless of which specific technologies it uses.

Our vision: By bundling best practices into a comprehensive model, we aim to provide retailers with a shortcut to a data-driven decision-making culture – while simultaneously enabling easier industry benchmarking. Our data model also uses transaction ratios as shown in the CRS transaction ratio matrix. The advantages of a uniform data model are obvious: