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1Q: Earn Easy Cash for Surveys

1Q: Earn Easy Cash for Surveys

1Q, LLC

Lifestyle免费v1.20.5
App Store
评分

4.4

25,256 条评分

星级

★★★★☆

最近更新

2025年12月16日

发布日期

2013年8月8日

更新内容

v1.20.5

Resolved issue with embedded links in question responses where the link would not open on the first tap.

应用信息

开发者
1Q, LLC
分类
Lifestyle
价格
免费
版本
1.20.5
App ID
683001273

简介

Join 1Q today: Be Heard and Be Rewarded Who is 1Q? 1Q connects people who want to be rewarded for their candid feedback to some of their favorite, top brands. 1Q is the only company in the world to pay consumers up to $0.25 instantly, per question, directly to your PayPal account. Join over 1 million people worldwide who have already started being paid for their valuable opinions. 1Q FEATURES: QUICK, INSTANT PAYMENTS - Make money for each survey question you answer (up to $0.25 each if location services enabled) - No waiting for a minimum amount earned to cash out - Get rewarded with cash: no need to select from gift cards or other credits you don’t need - Get paid easily with payments via PayPal EASY TO SIGN UP - Fill out our questionnaire with information about yourself to be matched with relevant surveys - Turn on location services to be even more accurately matched and get paid more for each survey - Begin receiving questions immediately SAFE & SECURE SHARING - We never share your personal info with anyone - Survey responses are only shared with the company asking the question - Personal identifying information (name, contact information, etc.) is never shared with our partners or sold to any third-party vendors REFER FRIENDS TO EARN MORE - Share your referral code with friends and earn $0.25 with each new sign up Download 1Q today to join and turn your opinions into cash – instantly! For more information regarding the terms and privacy of your responses, see the 1Q Privacy Policy https://site.1q.com/1q-terms-and-privacy/.

下载量预测

专业 · 预览

预估总下载量

1.9M1.3M3.6M
保守估计乐观估计

8K

低 / 月

12K

预估 / 月

23K

高 / 月

基于25,256 条评分
假设评分率1.4%
应用年龄155 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。