Can it help with international marketing regulations?

Yes, it includes compliance-safe templates for CASL/GDPR consent matrices and regional suppression filters to ensure your segments meet legal standards.

What is signal-driven segmentation?

Signal-driven segmentation uses specific product milestones or user behaviors as triggers to move contacts into micro-segments for highly relevant, automated messaging.

How does this skill help with email deliverability?

It provides structured frameworks for suppression logic, helping you automatically filter out unengaged, bounced, or legally blocked addresses to maintain a healthy sender reputation.

Does this skill help with data hygiene?

Absolutely. It includes checklists for data integrity, confirming consent, field completeness, and data recency before a campaign is launched.

Email Marketing Segmentation

Name: Email Marketing Segmentation
Author: gtmagents

bygtmagents

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マーケティングオートメーション

Designs advanced audience filters, suppression logic, and personalization cohorts for high-performance marketing campaigns and automations.

概要

This skill provides a specialized framework within Claude Code for architecting sophisticated audience segments, focusing on lifecycle stages, behavioral triggers, and data integrity. It empowers marketing operations and revenue teams to build robust suppression logic that protects deliverability, design tiered engagement strategies for experimentation, and ensure global compliance with regulations like GDPR and CASL, all while facilitating deep data-driven personalization.

主な機能

Engagement-based tiering and prioritization models
Lifecycle and behavioral filtering frameworks
Data integrity and field completeness validation
Signal-driven micro-segmentation trigger mapping
29 GitHub stars
Automated suppression and compliance safeguarding logic

ユースケース

Building GDPR and CASL compliant suppression lists for global regions
Creating multi-tier launch strategies with distinct cadences for VIP and dormant users
Designing complex email campaign filters based on product usage milestones