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Scrambly: Money for Walking

Scrambly: Money for Walking

Scrambly

Lifestyle免费v0.6.4
App Store
评分

4.7

52,494 条评分

星级

★★★★★

最近更新

2026年5月11日

发布日期

2025年7月10日

更新内容

v0.6.4

Minor bug fixes and performance improvements to keep everything running smoothly.

应用信息

开发者
Scrambly
分类
Lifestyle
价格
免费
版本
0.6.4
App ID
6738506984

简介

Walk. Earn. Repeat. Turn your daily steps into real rewards. Track your movement and watch it convert into value. EARN REWARDS FOR WALKING Every step counts. Earn points as you move throughout your day. The more active you are, the more you collect. Just keep your phone with you. GET REWARDED FOR MOVEMENT From daily routines to step goals, everything adds up. Your activity steadily builds toward real rewards you can use. REDEEM GIFT CARDS AND CASH Convert your points into digital rewards or cash. Withdraw starting from $1, with options available in as little as 3 hours. STAY ACTIVE, EARN MORE Take part in ongoing competitions, step challenges, and limited-time bonuses. Regular events give you more ways to boost your rewards. PREMIUM FEATURES Premium unlocks enhanced earning opportunities, additional rewards, and a more flexible experience. Premium Annual Subscription: $79.99 Premium Monthly Subscription: $7.99 Subscriptions renew automatically unless canceled at least 24 hours before the end of the current period. You can manage or turn off auto-renewal anytime in your account settings. Renewal charges are applied within 24 hours before the current period ends. If you cancel, your subscription remains active until the end of the billing period. No refunds are provided for unused time. START WALKING TODAY Connect your step tracker and begin earning from your daily activity. Your movement has value. For help or questions, contact us at support@scrambly.io Privacy Policy: https://scrambly.io/legal/privacy Terms & Conditions: https://scrambly.io/legal/terms

下载量预测

专业 · 预览

预估总下载量

3.9M2.6M7.5M
保守估计乐观估计

262K

低 / 月

389K

预估 / 月

750K

高 / 月

基于52,494 条评分
假设评分率1.4%
应用年龄10 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。