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Win-Back Campaign
by
LeroyCreates
· GitHub ↗
· v1.1.0
· MIT-0
91
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2
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Install in OpenClaw
/install win-back-campaign
Description
Design automated win-back campaigns targeting lapsed customers with personalized re-engagement sequences across email, SMS, and paid ads, using recency-based...
Usage Guidance
This skill appears to be a legitimate operational playbook for win-back campaigns, but it asks the operator to access and move sensitive customer data and interact with multiple external services while declaring no required credentials. Before installing or running it: (1) verify exactly which credentials and API keys are needed and supply them with least-privilege (read-only where possible, limited ad audiences only); (2) ensure PII/consent requirements are met (explicit SMS opt-in, lawful basis for EU contacts, hashed or consented email uploads to ad platforms); (3) restrict any agent or automation that will execute these steps to a sandbox or test audience first and require manual approval for audience uploads and paid spend; (4) require audit logging for any data exports/uploads and review logs regularly; (5) confirm suppression lists, unsubscribe handling, and deletion requests are honored automatically; and (6) if you cannot confirm which systems/endpoints the skill will call or what credentials it will use, treat it as untrusted — do not provide broad API keys or service accounts until the missing details are clarified.
Capability Analysis
Type: OpenClaw Skill
Name: win-back-campaign
Version: 1.1.0
The 'Win-Back Campaign' skill bundle provides comprehensive documentation and instructions for an AI agent to design and execute ecommerce re-engagement strategies. It covers data-driven RFM segmentation, multi-channel orchestration (email, SMS, and paid ads), and performance measurement using holdout groups. The instructions are professionally written, align strictly with the stated marketing purpose, and include significant emphasis on legal compliance (GDPR, TCPA, CAN-SPAM) and deliverability safety. No malicious code, data exfiltration attempts, or harmful prompt injections were identified in SKILL.md or the supporting guides.
Capability Tags
Capability Assessment
Purpose & Capability
The name, description, SKILL.md, and supplemental guides all consistently describe designing and executing RFM-based multi-channel win-back campaigns; included templates and checklists line up with that purpose and there are no unexpected binaries or install steps.
Instruction Scope
The instructions direct the agent/operator to pull order history, calculate RFM, access ESP/SMS/CRM/analytics data, remove suppressed contacts, upload audiences to ad platforms, and coordinate cross-channel suppression. Those actions involve reading/transmitting PII and interacting with third‑party ad/ESP APIs. The SKILL.md grants broad, operational discretion (data pulls, audience uploads, frequency caps, suppression logic) but does not precisely constrain what systems, endpoints, or data may be accessed — increasing the risk of accidental or intentional data exposure.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest installation risk (nothing is written or executed by the skill itself).
Credentials
Registry metadata lists no required env vars or credentials, yet the instructions implicitly require API keys/credentials for ESPs, SMS providers, CRM/ecommerce DB access, ad platforms, and possibly server-side CAPI endpoints. That mismatch (no declared credentials but clear need for multiple sensitive credentials) is a proportionality and transparency issue and should be clarified before use.
Persistence & Privilege
The skill does not request 'always: true' or persistent system-level presence and has no install steps that modify agent/system config. It allows normal autonomous invocation (platform default), which increases blast radius only if combined with the other concerns above.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install win-back-campaign - After installation, invoke the skill by name or use
/win-back-campaign - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
**Summary: Adds comprehensive documentation resources and supporting guides.**
- Introduced four new supporting documents: channel-strategy-guide.md, output-template.md, quality-checklist.md, and segmentation-guide.md.
- Expanded practical resources for campaign design, execution, and quality assurance.
- Enables easier reference for best practices in segmentation, channel orchestration, and expected output.
- Aims to improve campaign consistency and end-user implementation confidence.
v1.0.0
Initial release.
Metadata
Frequently Asked Questions
What is Win-Back Campaign?
Design automated win-back campaigns targeting lapsed customers with personalized re-engagement sequences across email, SMS, and paid ads, using recency-based... It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.
How do I install Win-Back Campaign?
Run "/install win-back-campaign" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Win-Back Campaign free?
Yes, Win-Back Campaign is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Win-Back Campaign support?
Win-Back Campaign is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Win-Back Campaign?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.1.0.
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