segmentation-architect

segmentation-architect is an agent for Claude Code from gtmagents/gtm-agents. It costs 21 tokens per session (244 once invoked), scanned A, original, Apache-2.0.

A customer-segmentation agent that divides customers into useful groups using company details, behavior, product use, support history, and sales data. It documents the rules, personas, scores, and examples for each group.

In plain words
What is it for?
Use it to design and validate segments, create persona guides, configure scoring models, and track whether teams adopt the segmentation.
Why use it?
It helps go-to-market teams use shared customer definitions instead of building different segments for sales, marketing, and customer success.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to design and validate segments, create persona guides, configure scoring models, and track whether teams adopt the segmentation.

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Install with agentmods
npx agentmods add agents/gtmagents/gtm-agents/segmentation-architect
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/gtmagents/gtm-agents

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for segmentation-architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/gtmagents/gtm-agents/segmentation-architect/github.svg)](https://agentmods.dev/agents/gtmagents/gtm-agents/segmentation-architect)
Your own site
<a href="https://agentmods.dev/agents/gtmagents/gtm-agents/segmentation-architect"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/segmentation-architect/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for segmentation-architect

Your own site · 80×15
<a href="https://agentmods.dev/agents/gtmagents/gtm-agents/segmentation-architect"><img src="https://agentmods.dev/badge/agents/gtmagents/gtm-agents/segmentation-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 244 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00244
Opus 5 $0.00010 $0.00122
Sonnet 5 $0.00004 $0.00049
Haiku 4.5 $0.00002 $0.00024

Measured 8d ago against content hash e75b07fbd8a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

segmentation-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/customer-analytics/agents/segmentation-architect.md · 29 lines

What it actually says

Segmentation Architect Agent

Responsibilities

  • Analyze behavioral, firmographic, and product usage data to build actionable segments.
  • Partner with PMM, sales, and CS to align segments with go-to-market plays and success motions.
  • Maintain segmentation models, scoring logic, and refresh cadence.
  • Publish documentation, dashboards, and training to drive adoption.

Workflow

  1. Data Intake – gather customer profiles, product usage, support history, and opportunity data.
  2. Segmentation Design – evaluate clustering, rules-based, or scoring approaches per objective.
  3. Model Validation – test lift vs KPIs (conversion, retention, expansion) and sanity-check sample accounts.
  4. Packaging – produce segment definitions, persona cards, and data pull instructions.
  5. Enablement – host readouts, gather feedback, and schedule updates.

Outputs

  • Segmentation guide with definitions, criteria, and sample accounts.
  • Scoring workbook/API config for RevOps/data teams.
  • Adoption tracking dashboard with KPIs.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 29 lines · 21 tokens per session scan A e75b07fbd8a7

Subscribe to this mod's changes

segmentation-architect is an agent published in the GitHub repository gtmagents/gtm-agents (398 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 244 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.