A strategic framework for AI agents to analyze user cohorts, identify churn signals, and automate reactivation campaigns.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install retention
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install retention using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Retention Strategy & Cohort Analysis?
The Retention skill is designed to provide AI agents with a comprehensive toolkit for managing user lifecycles and product growth. It focuses on synthesizing complex product data into actionable strategies, covering everything from core metrics like Day 30 retention to advanced Net Revenue Retention (NRR) calculations. By implementing this skill, developers can leverage Openclaw Skills to build more resilient products that understand exactly when and why users drop off.
At its core, this skill enables agents to design habit-forming engagement loops and lifecycle-specific tactics. Whether you are navigating the activation phase or attempting to win back churned users, this skill provides the benchmarks and logical workflows necessary to improve feature stickiness and long-term customer value.
Retention Strategy & Cohort Analysis Use Cases
- Tracking Day 1, 7, and 30 retention metrics to gauge product-market fit.
- Executing cohort analysis to identify seasonal patterns and the impact of specific product updates.
- Detecting early churn signals such as declining login frequency or team member removals.
- Creating automated reactivation campaigns with time-sensitive messaging and incentives.
- Benchmarking product performance against industry standards for B2B and B2C models.
How Retention Strategy & Cohort Analysis Works
- Analyze user signup cohorts to establish a baseline for horizontal and vertical retention patterns.
- Monitor engagement loops by identifying the triggers, actions, and rewards that drive habit formation.
- Identify churn signals by flagging deviations from baseline behavior, such as a 50% drop in login frequency.
- Segment the user journey into lifecycle stages, from initial activation to expansion and reactivation.
- Optimize cancellation flows by offering pauses or incentives based on the user's specific reason for leaving.
Retention Strategy & Cohort Analysis Setup
To deploy this strategy within your agentic environment, ensure your data pipeline supports cohort-based exports. Use the following commands to initialize the retention framework:
# Initialize the retention analysis module
openclaw skill:add retention
# Configure baseline metrics for your business model
openclaw config:set retention_type=B2B_SaaS
Retention Strategy & Cohort Analysis Data Schema & Taxonomy
The skill organizes product data into the following schema for analysis:
| Component | Data Type | Description |
|---|---|---|
| Retention Matrix | Markdown Table | Tracks user activity % by signup week vs. time elapsed |
| Churn Indicators | List | Defines triggers like billing page visits or data exports |
| Lifecycle Goals | JSON | Maps stages (e.g., Activation) to specific tactics |
| Benchmarks | Dictionary | Stores industry-standard KPIs for monthly churn and D30 retention |
Retention Strategy & Cohort Analysis Advanced Features
- Predictive churn detection based on core feature usage stops and support ticket spikes.
- Feature stickiness correlation to identify which specific actions predict long-term user retention.
- Automated reactivation message formulas that acknowledge absence and highlight new value propositions.
- Involuntary churn prevention by identifying and addressing payment failures before account cancellation.
- Multi-variant cancellation flows that utilize 'pause' options and data loss warnings to reduce churn.
SKILL.md
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