Monat: September 2019

Posted in AI use case, Data-driven marketing, Product analytics

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.

Posted in Business, Data strategy, Data-driven marketing, Insights, Strategy

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.

Posted in Data-driven marketing, Deutsch, KPIs

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.

Posted in Data-driven marketing, KPIs

Data meets Communications – takeaways from the Digital Communication Awards

At the after party some people asked me for feedback and what they could do better next time. Here is a list of tips that are useful when pitching the impact of your project, as well as to anybody using key performance indicators (KPIs) to communicate the value of your work.