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marketing · customer analysis

Customer segment clusters dendrogram

This dendrogram groups customer behaviours into prospect and customer branches. Newsletter and webinar audiences sit close to trial users, while annual, enterprise and monthly customers form a separate branch. The structure gives a team a quick view of which segments were most alike before a threshold divided them into campaign groups.

Tipo Árvore filogenéticaNorma Newick + NHX extensionsMecanismo schematex-phyloAtualizado 24/09/2026
Customer Segment Clusters
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A solicitação

“Create a customer segmentation dendrogram with Newsletter, Webinar and Trial in a Prospects cluster; Annual, Enterprise and Monthly in a Customers cluster; a customer-distance scale; and a cut at 2.5.”

Depois, tenteAdd a churned customer group.Change the cut to 3.
O que há neste desenho

Entenda as decisões por trás dele.

01Segment labels

Use names that distinguish prospects from paying customers.

02Distance measure

Define the behavioural inputs behind customer distance before sharing the tree.

03Cut threshold

Use 2.5 to create an initial set of workable campaign groups.

Use this diagram to explain a small segmentation model when the order of cluster merges matters as much as the final groups.

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Perguntas frequentes

Dúvidas comuns

What is a customer segmentation dendrogram?

It is a hierarchy of customer groups built from their similarity on selected behaviours or attributes. Branches show the order in which segments merge.

What should customer distance represent?

It should represent a documented measure of difference, such as engagement, purchase cadence or product usage. The inputs should be consistent across every customer.

How do I choose a cluster cut?

Choose a threshold that produces a number of groups the team can act on, then check that each group has a meaningful business interpretation.