Data-driven marketing

Customer Segmentation: Rules-based vs. K-Means Clustering

Customer segmentation is a means by which you group customers into an identifiable category that you can use as a basis for analysis of a specific group of customers. Customer segmentation is useful for activities such as strategic planning, campaign planning & customer targeting, product analytics, planning customer communications, customer experience management, churn prediction, upselling, cross-selling, acquisition, sales operations and more.

Turning customer relevancy into revenue

Monetizing customer relevancy through data-driven insights is key for any successful modern marketing campaign. Modern marketers work in a hypotheses-driven manner, using data to gain customer insight. Consumers and B2B customers have grown used to marketers understanding who they are, their behaviors, as well as when and how they want to communicate with you.

Digitale Kommunikation trifft Analytics- Erkenntisse aus den Digital Communication Awards

Ich hatte die Ehre, Jurymitglied bei den Quadriga Digital Communication Awards zu sein.Auf der After-Party baten mich einige Leute um Feedback und was sie beim nächsten Mal besser machen könnten. Hier ist eine Liste von Tipps, die nützlich sind, wenn es darum geht, die Wirkung Ihres Projekts zu vermitteln – und an jeden, der Key Performance Indicators (KPIs) verwendet, um den Wert Ihrer Arbeit zu kommunizieren.

The monetisation of customer relevancy

The monetisation of customer relevancy through data-driven insights is essential for any successful marketing campaign in the digital economy. With the advent of social media, cloud computing, IoT and mobile applications, data sources and use cases for marketing and communications professionals are proliferating. Companies can collect data on customer preferences, attributes, actions and more to, for example, anticipate demand, increase customer satisfaction and loyalty, as well as proactively capitalize on acquisition, upsell and cross sell opportunities.