lapsed-user

Generate a lapsed-user pipeline with tracking, detection, and return experiences.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/ano4l/SiteRent --skill lapsed-user-ano4l
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lapsed-user
Source: https://github.com/ano4l/SiteRent/tree/main/skills/generators/lapsed-user
Command: npx skills add https://github.com/ano4l/SiteRent --skill lapsed-user-ano4l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects and re-engages inactive users by generating a complete lapsed-user pipeline, including tracking, detection, and personalized return experiences.

Core Features & Use Cases

  • Inactivity tracking and lapse detection to determine user engagement status
  • Automated generation of ReturnExperience and WinBackOffer UI for various lapse categories
  • Analytics hooks and optional highlights provider to tailor experiences

Quick Start

Run the lapsed-user generator to scaffold detection, return experiences, and win-back offers for your inactive users.

Frequently Asked Questions about lapsed-user

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement inactivity tracking for lapsed users in an iOS app?

Inactivity tracking detects lapsed users by monitoring engagement status to generate a pipeline for tracking, detection, and personalized return experiences. It identifies recently inactive, moderately lapsed, and long-term lapsed cohorts in your mobile app.

What is the best way to re-engage inactive users with personalized return experiences?

Re-engaging inactive users requires generating automated ReturnExperience and WinBackOffer UI components tailored to various lapse categories. This approach delivers personalized return experiences and optional win-back offers for subscribers to reduce churn.

Can I use win-back offers for lapsed subscribers in my mobile app?

Yes, you can generate optional win-back offers for subscribers within the lapsed-user pipeline. The system produces WinBackOfferView UI components to present these tailored incentives to inactive users upon their return.

How do I categorize inactive users into different lapse cohorts for retention?

Categorizing inactive users involves generating a LapsedUserDetector that segments audiences into recently inactive, moderately lapsed, and long-term lapsed cohorts. This detection enables targeted re-engagement strategies for each specific retention group.

Does this lapsed-user pipeline provide analytics hooks for re-engagement tracking?

Yes, the lapsed-user pipeline includes analytics hooks and an optional highlights provider to tailor experiences. These integrations allow you to measure re-engagement effectiveness and track user retention metrics across different lapse categories.