返回榜单
Obedience: BDSM Habit Tracker

Obedience: BDSM Habit Tracker

Obedience B.V.

Lifestyle免费v10.21.1
App Store
评分

4.6

2,521 条评分

星级

★★★★★

最近更新

2026年5月11日

发布日期

2020年1月7日

更新内容

v10.21.1

In this version of Obedience (v10.21.0): We're introducing a monthly review flow! Set a monthly goal, and evaluate how well your current habits, rewards and punishments help you achieve your goal.

应用信息

开发者
Obedience B.V.
分类
Lifestyle
价格
免费
版本
10.21.1
App ID
1484629691

简介

Obedience is a kinky habit tracker for couples in a BDSM dynamic. Whether you've been practising kink for a long time, or you're new to the scene, Obedience will help you and your partner(s) track daily and weekly habits, and puts the dominant in charge of rewards and punishments. Couples can connect their phones, which enables one to update their habit status and spend their rewarded coins, and the other to see these real time updates and set up a reward and punishment system. Features: -Add your own daily or weekly habits and tasks -Add your own punishments and rewards -Keep track of your rules -Live chat with partner -Assign rewards and/or punishments to your tasks and habits. -Give punishments and rewards automatically or manually -Give submissive points that they can spend on rewards -Real time sharing between dominant and submissive -Supports multiple partners -See stats and graphs about your habits -Set reminder/alarm notifications (coming soon!) ----------------------------------------- This app contains auto-renewable subscriptions. Subscriptions will automatically renew unless canceled within 24-hours before the end of the current period. You can cancel anytime with your iTunes account settings. Any unused portion of a free trial will be forfeited if you purchase a subscription. Privacy policy: https://obedienceapp.com/privacy-policy Terms and conditions: https://obedienceapp.com/terms-of-service

下载量预测

专业 · 预览

预估总下载量

187K126K360K
保守估计乐观估计

2K

低 / 月

2K

预估 / 月

5K

高 / 月

基于2,521 条评分
假设评分率1.4%
应用年龄77 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。