返回榜单
FlyLady: Routines & Cleaning

FlyLady: Routines & Cleaning

FLY Premium Services, inc.

Lifestyle免费v4.0.1
App Store
评分

4.9

21,611 条评分

星级

★★★★★

最近更新

2026年4月20日

发布日期

2016年5月26日

更新内容

v4.0.1

• Minor Bug fixes

应用信息

开发者
FLY Premium Services, inc.
分类
Lifestyle
价格
免费
版本
4.0.1
App ID
1115477521

简介

Decluttering made easy. Routines that actually work. Based on the internationally loved FlyLady Method, as featured in The BetterHome Magazine, Yahoo Life, and Additude Magazine. Say goodbye to overwhelming and hello to peace of mind. FlyLadyPlus helps you create a cleaner, more organized home with daily routines, customizable cleaning lists, and a proven zone-based system trusted by hundreds of thousands around the world. No more guessing what to clean or when. Rooted in the FlyLady Method by Marla Cilley, a pioneer in home management for over two decades, FlyLadyPlus breaks it down step by step so you can clean a little each day and enjoy a lot more calm. What You’ll Get: • Pre-loaded Morning, Afternoon, and Evening routines • Room-by-room cleaning lists, organized by zone • Smart weekly reminders to help you stay on track • Daily inspiration from FlyLady, including musings and missions • Ask FlyLady advice, sent with warmth and encouragement • Progress tracking with points and achievements • Custom routines and lists to fit your home and lifestyle • Ability to personalize each area of your home • Motivation tools to help you stay consistent and celebrate wins Want to use every feature? Subscribing gives you full access to the complete FlyLadyPlus experience. That includes customizing your space, unlocking inspiration content, earning achievements, and accessing more tools to help you feel calm, confident, and in control. Download today and begin your transformation. One small habit at a time. Start free. No login required. Built with love for FlyBabies everywhere.

下载量预测

专业 · 预览

预估总下载量

1.6M1.1M3.1M
保守估计乐观估计

9K

低 / 月

13K

预估 / 月

26K

高 / 月

基于21,611 条评分
假设评分率1.4%
应用年龄121 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。