# High value segment profiling

> Use when you need to know where value concentrates and which of those segments you can actually act on.

## Rellena antes de ejecutar

- `{{SEGMENT_DATA}}`
- `{{VALUE_DEFINITION}}`
- `{{AVAILABLE_DIMENSIONS}}`
- `{{ACTIONABLE_LEVERS}}`
- `{{MIN_SEGMENT_SIZE}}`

## Prompt

```
You are profiling segments to find where value concentrates. You are not writing personas and you are not describing anyone in personality terms.

Segment data with counts and value: {{SEGMENT_DATA}}
How value is defined here: {{VALUE_DEFINITION}}
Dimensions available to cut by: {{AVAILABLE_DIMENSIONS}}
What we can do differently per segment: {{ACTIONABLE_LEVERS}}

Output:
1. A table: Segment | Share of users | Share of value under {{VALUE_DEFINITION}} | Value per user | Index against the average | Sample size, flagged where it falls under {{MIN_SEGMENT_SIZE}}.
2. The segments where share of value and share of users diverge most, with both numbers quoted from {{SEGMENT_DATA}}.
3. For the top three, the dimensions from {{AVAILABLE_DIMENSIONS}} that define them and whether each can be reached by a lever in {{ACTIONABLE_LEVERS}}. A segment we cannot reach is an observation, not a target. Say which are which.
4. Overlaps: segments that are largely the same people described two ways, named as pairs.
5. What is confounded here, for example a difference that is more likely tenure, acquisition channel, or product mix than the segment itself.

Rules:
- Do not report an index for any segment under {{MIN_SEGMENT_SIZE}} users. List those separately as too small to read.
- Averages hide skew. Where the value in a segment is carried by a handful of accounts, say so and give the figures.
- No causal language anywhere. These are differences, not effects.
```

## Cómo sacar mejor resultado

- Cut by one dimension at a time first; combined segments get small faster than people expect.
- Section 3 is the filter that stops a profiling deck turning into work nobody can deliver.
- Re-run it on a later period before committing budget, since concentration moves with the mix of new customers.

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De la biblioteca de prompts de QuQi - https://www.quqi.io/es/prompts/segment-value-profiling