Define the objectives, scope, stakeholders and other critical elements that are foundational to implementing a successful segmentation.
Defining all the data elements that could be part of the segmentation criteria – everything from the typical common demographic (B2C) / firmographic (B2B) Data, to needs-based data, and beyond.
Designing a steady-state process for segmentation within the organization, including every aspect of the process such as defining who will maintain the data & Model, how often the model will be run, Data refresh frequency, ensuring the output is actionable, etc.
Constructing a centralized segmentation data hub as well as the engine used to model, process, and run the segmentation analytics. Whether it be commercial software, Open source applications, or custom built solutions, we will give you objective of guidance on your best path forward.
Identifying the segmentation approach to be used based on the type, availability and quantity of data as well as the targeted need for segmentation. The segmentation approach should include the segmentation method(s) ( i.e. Clustering, classification, max-Diff etc.), as well as the classification algorithm and other elements.
Designing in segmentation function that is both efficient and technically capable – we help you with everything from the function design, to authoring requisitions, to candidate screening.
Segmentation activation is arguably the most important part of the process. Without action based on segments, the entire segmentation effort is wasted. It is essential to keep end goals in mind when designing and conducting segmentation activities. We hope you’ll build momentum in the organization behind the segmentation of work so that it carries through to execution.