How does this skill help with e-commerce?

It provides cohort segmentation, offer libraries, and measurement tools specifically designed for repeat purchase cycles and subscription models.

How does it measure success?

The skill includes a measurement stack to track repeat rates, LTV, churn, loyalty engagement, and coupon reliance.

What is the Retention & LTV Playbook skill?

It is a specialized Claude Code skill that provides frameworks, templates, and domain-specific guidance for improving customer retention and lifetime value.

Does it support multi-channel marketing?

Yes, it recommends optimal channel cadences across email, SMS, push notifications, and communities based on the customer lifecycle stage.

Can I use this for loyalty program design?

Yes, it includes specific templates for loyalty program trackers, covering points, tiers, and redemption metrics.

Retention & LTV Playbook

Name: Retention & LTV Playbook
Author: gtmagents

bygtmagents

•

Marketing Automation

Implements lifecycle marketing frameworks to maximize customer lifetime value and retention through data-driven playbooks.

About

The Retention & LTV Playbook skill provides Claude Code with a comprehensive framework for designing and executing customer retention strategies. It enables users to map lifecycle journeys across various cohorts—from new customers to VIPs—while establishing robust measurement stacks for KPIs like churn and repeat purchase rates. By leveraging structured offer libraries and multi-channel cadences, this skill helps teams build automated win-back programs, loyalty initiatives, and subscription growth models grounded in margin-aware guardrails.

Key Features

Prioritized experiment roadmap for lifecycle testing
Margin-conscious offer library for incentives and rewards
29 GitHub stars
Standardized measurement stack for tracking LTV and churn
Lifecycle Matrix for cohort segmentation and KPI benchmarking
Multi-channel cadence recommendations for Email, SMS, and Push

Use Cases

Designing automated win-back and re-engagement campaigns for lapsing customers
Building a loyalty program structure with defined tiers and redemption metrics
Optimizing subscription value through targeted onboarding and VIP journeys

About

Key Features

Prioritized experiment roadmap for lifecycle testing
Margin-conscious offer library for incentives and rewards
29 GitHub stars
Standardized measurement stack for tracking LTV and churn
Lifecycle Matrix for cohort segmentation and KPI benchmarking
Multi-channel cadence recommendations for Email, SMS, and Push

Use Cases

Designing automated win-back and re-engagement campaigns for lapsing customers
Building a loyalty program structure with defined tiers and redemption metrics
Optimizing subscription value through targeted onboarding and VIP journeys