What is a segment code and how do you use it in a target group profile?

A segment code is a short designation used to refer to one defined target group segment within an agreed register or project. In the Neurofactor target group profile, it can be an abbreviation linked to the full group name and segment composition.

The code identifies the group; it does not independently describe its characteristics or evidence status. When reusing profiles across systems, retaining a stable internal identity alongside the visible code is advisable. This is a practical management choice, not a prerequisite for researching a target group.

We use ‘segment code’ as a field name, without attributing it to a single scientific inventor. Its background combines information management and segmentation research.

In SKOS, W3C distinguishes a classification notation from a lexical label. A notation identifies a concept within a particular classification scheme. W3C, 2009, §6

W3C also recommends persistent identification and separate version management for web data. W3C, 2017, §8.6–8.7 These recommendations concern web data and do not prescribe a Neurofactor code format. We use the principles to inform our own approach.

Dolnicar, Grün and Leisch describe segment profiling using the variables on which groups were formed. Dolnicar et al., 2018 Our practical application is to keep the code connected to the underlying group definition. An abbreviation cannot replace that information.

This is a suggested management approach. `GVP` and `NF-SEG-001` are not existing research findings or mandatory standards. A small project can use one unique, stable code. If the abbreviation serves readability alone, let a separate stable identity maintain links across systems.

Choose a convention the team can apply consistently:

• Unambiguous within its agreed scope. One code refers to one segment in the register. Specify whether the register covers a project or the whole organisation.
• Short and readable. Use simple formatting and avoid distinctions that are easy to miss, such as only a space or capital letter.
• Connected to a definition. The name, context and segment composition must be retrievable.
• Managed when changed. Retain earlier abbreviations as references if the visible code changes.
• Neutral about evidence. A tidy code does not turn a hypothesis into a validated segment.

An abbreviation such as `CMO` can work within a document, but does not specify the group’s boundaries without a register. Nor does a role name automatically define an associative target group. Record the shared association pattern and choice context separately.

1. Check the group first. Read the segment composition and establish whether a record already exists for the same definition.
2. Define the code’s scope. Must it be unique only within this project or more widely? Preserve project or register context when exchanging it.
3. Choose a readable designation. Agree on formatting and abbreviations. Document the meaning so new colleagues do not have to guess.
4. Link the documentation. Keep the group name, definition, evidence status and version attached to the same identity.
5. Use the code consistently. Carry it into profiles, matrices and references. Include the name and version in documents shared independently.
6. Record changes. Note what changed, why and from which version it applies.

These steps are Neurofactor’s practical approach. They do not determine how many segments a study should produce.

Fictional management example — not an established target group segment.

Suppose you investigate a candidate segment centred on control and predictability when selecting a CRM system. Its internal identity is `NF-SEG-001`, its visible code is `GVP`, and profile version `1.0` has the evidence status ‘working hypothesis’.

The code does not have to form a meaningful abbreviation in every language. The translated name explains the meaning. If local abbreviations are useful, register them as alternative designations for the same identity.

A translation does not demonstrate that the same pattern exists in another market. If the study population or choice context changes, assess whether the same segment definition still applies.

Do not reuse a retired code for an unrelated group. Otherwise an old report could silently come to mean something different. Research results should also record the definition version and study wave used. Sharing a code does not automatically make findings from different waves comparable.

In a matrix, the abbreviation may already appear in the column heading, making a separate row look redundant. When you export one profile or place it in a presentation, that row helps keep it identifiable on its own.

The code therefore serves a different purpose from the name and segment composition. The name supports reading, the composition defines boundaries, and the code supports references. Show at least the name, code and profile version on a standalone profile. Keep the study wave and definition version with the supporting documentation.

• Using the same abbreviation for different segments without project context.
• Treating a renamed group as automatically being a new group.
• Encoding age, buying behaviour or BIS/BAS scores into a stable code when these data may change.
• Registering a translation as a new research segment.
• Confusing a segment code with a participant code: one refers to a group, the other to a research participant.
• Concluding that two datasets contain the same target group solely because their codes match.

A good code makes references checkable. You can establish which group, definition and version belong to a profile or finding. Keep the visible designation simple and retain the substantive meaning in the segment record.

Discuss how you define, name and track segments across research and communication.