A strategic heuristic tool for defining customer lifecycle segments and building data-driven winback campaign frameworks without needing live CRM API access.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crm-segment-winback
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install crm-segment-winback using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The CRM Segment & Winback skill is a specialized framework designed for marketing operators, CRM managers, and founders who utilize Openclaw Skills to streamline their retention strategy. It transforms raw customer data notes and business goals into structured, operator-ready briefs. By applying built-in logic for lifecycle stages and channel suitability, this skill allows users to develop sophisticated marketing plans for DTC brands, marketplaces, or subscription services without requiring immediate access to live production databases or complex marketing automation platforms.
By integrating this tool into your Openclaw Skills workflow, you can effectively bridge the gap between data analysis and campaign execution. It relies on a heuristic approach to categorize customers into segments like VIP, at-risk, or churned, providing clear recommendations on how to reactivate lapsed users through email, SMS, WeChat, or app push notifications.
To utilize this skill, ensure your environment is configured to load Openclaw Skills. No external API keys for CRM platforms are required as the tool uses a heuristic logic model.
# Example of initiating a CRM segment brief generation
openclaw run crm-segment-winback --goal "Define winback for 90-day churned DTC users"
The skill organizes customer retention data into a structured taxonomy. The generated output follows this schema:
| Component | Description |
|---|---|
| Segment Framework | Detailed tiers based on RFM (Recency, Frequency, Monetary) and engagement levels. |
| Health Scorecard | Assessment of segment size, AOV, and churn risk indicators. |
| Trigger Library | Logical signals (e.g., last purchase date) paired with specific offer types. |
| Channel Matrix | Guidance on which platforms (Email vs SMS) work best for specific segments. |
| KPI Framework | Recommended metrics for tracking performance, such as LTV and reactivation rates. |
Loading
A specialized diagnostic tool for identifying and mitigating BGP instability and unauthorized route propagation in Azure cloud environments.

A high-leverage operational analyzer that transforms raw KPI notes and channel observations into structured health briefs for ecommerce leaders.

A high-fidelity integration for managing Feishu (Lark) API operations and documentation with strict adherence to official specifications.

A comprehensive MCP server and CLI for querying and transacting across the KaspaCom DeFi ecosystem on IGRA and Kasplex networks.

A specialized skill for AI agents to efficiently read, write, and validate YAML configuration files with built-in security and error handling.

A sophisticated prompt-driven memory architecture that organizes AI agent context into three hierarchical layers using physical Markdown storage.








































