List of Minubo Customers
Hamburg, D-22087,
Germany
Since 2010, our global team of researchers has been studying Minubo customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Minubo for Marketing Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Minubo for Marketing Analytics include: Zooroyal Germany, a Germany based Retail organisation with 87 employees and revenues of $117.0 million, Bergzeit, a Germany based Retail organisation with 370 employees and revenues of $60.0 million, Sugarshape Germany, a Germany based Retail organisation with 75 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Minubo, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Minubo customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bergzeit | Retail | 370 | $60M | Germany | Minubo | Minubo | Marketing Analytics | 2020 | n/a |
In 2020, Bergzeit implemented Minubo as its Marketing Analytics solution to establish a unified e commerce KPI standard and reporting layer. The Minubo Marketing Analytics deployment targeted marketing, purchasing and controlling teams in Germany to centralize e commerce performance measures and reporting.
Implementation centered on configuring standardized dashboards and a consolidated reporting layer, delivering a common KPI taxonomy and normalized reporting semantics across functions. The deployment integrated with Bergzeit's existing data warehouse to surface normalized data and to power Minubo dashboards and reports.
Operational coverage included marketing, purchasing and controlling in Germany, with a focus on shared dashboard access and consistent reporting workflows across those business functions. Governance work established owners for the KPI taxonomy and a reporting cadence to sustain consistency and alignment between departments.
According to vendor materials, the Minubo implementation improved consistency across departments and enabled faster decision making by providing a single source of standardized e commerce KPIs for business stakeholders.
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Sugarshape Germany | Retail | 75 | $50M | Germany | Minubo | Minubo | Marketing Analytics | 2019 | n/a |
In 2019, Sugarshape Germany implemented Minubo as its Marketing Analytics platform. Minubo was deployed as the central BI layer to enable marketing automation and personalization, consolidating commerce, customer and product event data to feed downstream analytics and activation workflows.
The implementation emphasized segmentation and data feed capabilities, with Minubo used to build audience segments and to export product recommendations and segment definitions into a personalization engine. Configuration centered on segmentation logic, scheduled data feed orchestration and recommendation export to support campaign activation and site personalization.
Integrations included a joint deployment with a personalization partner trbo, where Minubo supplied recommendation data and audience segments into trbo driven personalization workflows. Operational coverage focused on marketing and e commerce functions, linking analytics outputs to on site personalization and campaign orchestration.
Governance introduced standardized segmentation rules and recurring data feed schedules to preserve data consistency between Minubo and the personalization engine. According to the joint case study, the combined Minubo and trbo implementation delivered data driven recommendations that improved conversion and campaign performance.
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Zooroyal Germany | Retail | 87 | $117M | Germany | Minubo | Minubo | Marketing Analytics | 2019 | n/a |
In 2019 Zooroyal Germany implemented Minubo as its Marketing Analytics platform to power automated, data-driven email campaigns and next-best-offer workflows for CRM and marketing. Minubo was used to centralize customer and campaign analytics and to drive segmentation and offer orchestration across the retailer's German operations.
The implementation focused on automated segment generation, data-driven campaign orchestration, and next-best-offer workflow support, with Minubo providing actionable insights for campaign optimization. Functional capabilities implemented included behavioral and transactional segmentation, automated segment feeds for campaign execution, and analytics dashboards to inform marketing decisions.
Minubo was integrated with the company's email-marketing systems to deliver automated segment feeds and real-time actionable insights for campaign optimization, using scheduled exports and integration interfaces to operationalize campaign workflows. Operational scope centered on CRM and marketing teams in Germany, where campaign execution relied on Minubo-driven segment delivery and recommendation signals.
Governance and process changes emphasized scheduled segmentation cadence and an optimization feedback loop between campaign performance and minubo analytics. The deployment supported automated, data-driven campaigns and next-best-offer logic, and it increased campaign efficiency and performance as reported by the company.
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