Skills audience-segment-builder
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audience-segment-builder

v19.0.0 Content revision r2 Safe βš™οΈ External commands🌐 Network accessπŸ“ Filesystem access

Build privacy-aware audience segments

First-party customer data often lacks a clear, reusable audience plan. This skill turns approved CRM or GA4 exports into named seeds, exclusions, and funnel-stage targeting maps.

Supports: Claude Codex Code(CC)
πŸ₯ˆ 81 Silver

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "audience-segment-builder" from https://skillstore.io/skills/aaron-he-zhu-audience-segment-builder.md and its manifest at https://skillstore.io/api/skills/aaron-he-zhu-audience-segment-builder/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Test it

Using "audience-segment-builder". A CRM export with lifetime value, last purchase date, and plan tier.

Expected outcome:

  • High-value repeat buyers: customers in the top lifetime-value tier with two or more purchases.
  • Recent purchasers: customers who purchased within 30 days; suppress from acquisition campaigns.
  • Needs input: no acquisition source column was supplied for source-based segments.

Using "audience-segment-builder". A GA4 audience export for Google and Meta.

Expected outcome:

  • Cold: new visitors and eligible lookalike expansion audiences.
  • Warm: engaged visitors within the stated retargeting window.
  • Hot: checkout or pricing-page visitors, excluding recent purchasers.

Security Audit

Safe
v7 β€’ 7/26/2026 Open versioned report

All 31 static detections are false positives. Backticks are Markdown formatting, URLs are metadata links, and relative paths are documentation references or an explicitly confirmed local save location. The skill instructs users to treat exports as untrusted and avoid returning raw PII.

1
Files scanned
81
Lines analyzed
0
Review items
0
False positives ignored
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: claude View Audit History β†’
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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https://skillstore.io/skills/aaron-he-zhu-audience-segment-builder/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA Β· BibTeX Β· CFF)

APA citation

aaron-he-zhu. (2026). audience-segment-builder security audit report (audit version 7) [Author version 19.0.0]. Skillstore. https://skillstore.io/skills/aaron-he-zhu-audience-segment-builder/audits/7

BibTeX citation

@techreport{aaron-he-zhu-aaron-he-zhu-audience-segment-builder-2026, author = {aaron-he-zhu}, title = {audience-segment-builder security audit report (audit version 7)}, institution = {Skillstore}, year = {2026}, number = {7}, url = {https://skillstore.io/skills/aaron-he-zhu-audience-segment-builder/audits/7}, note = {Author version 19.0.0} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "audience-segment-builder security audit report (audit version 7)" version: "19.0.0" type: report authors: - name: "aaron-he-zhu" date-released: "2026-07-26" url: "https://skillstore.io/skills/aaron-he-zhu-audience-segment-builder/audits/7" identifiers: - type: other value: "skillstore:aaron-he-zhu-audience-segment-builder:audit:7" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
100
Maintainability
87
Content
67
Community
91
Spec Compliance

What You Can Build

Prepare a prospecting launch

Build high-value seeds and cold audience definitions before a new acquisition campaign.

Reduce wasted retargeting spend

Define recent-purchaser and existing-customer exclusions with clear suppression windows.

Standardize platform targeting

Translate GA4 or CRM signals into one funnel map for Google, Meta, and other platforms.

Try These Prompts

Beginner: segment a customer export
Build audience segments from my customer export. My goal is direct response. Identify useful columns, name each segment, and flag missing data.
Intermediate: create value-based seeds
Use my CRM export to define value-based lookalike seed audiences. Rank groups by lifetime value, state the seed criteria, and create exclusions for current customers.
Advanced: map a multi-platform funnel
Map my GA4 and CRM audiences to cold, warm, hot, and customer funnel stages for Google and Meta. Include retargeting windows, suppression rules, and NEEDS_INPUT flags.
Advanced: review privacy-safe output
Create a privacy-aware audience segment handoff from this export. Use aggregate descriptions only, do not repeat raw PII, and list every source column used.

Best Practices

  • Use only approved first-party exports and confirm data-use permissions before segmentation.
  • Tie every audience definition to a supplied column, value, or stated behavior.
  • Use aggregate descriptions or hashes and keep raw PII out of the handoff.

Avoid

  • Do not invent value tiers, retargeting windows, or fit signals that are absent from the export.
  • Do not include raw email addresses, phone numbers, or customer rows in the output.
  • Do not treat segment definitions as a substitute for campaign structure or platform policy review.

Frequently Asked Questions

What data can I provide?
Provide an approved CRM, customer, or GA4 export with column names and aggregate values where possible.
Does this skill upload audiences?
No. It defines audience plans and seed criteria. Platform uploads require separate approval and tooling.
Can it create lookalike audiences?
It creates value-based seed definitions. The advertising platform performs lookalike expansion.
How does it protect PII?
It instructs the agent to use aggregate or hashed descriptions and not echo raw emails or phone numbers.
Which platforms can use the output?
The funnel map is platform-neutral and can support Google, Meta, and other advertising platforms.
What happens when required data is missing?
The skill marks the affected segment as NEEDS_INPUT rather than making an unsupported assumption.

Developer Details

License

Apache-2.0

Author version

v19.0.0

Skillstore revision

r2

Ref

adcb3549b15782055d0beb6d29f113d20de08f92

Maintenance freshness

7/28/2026

Usage

2 downloads Β· 1 views

File structure

πŸ“„ SKILL.md

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