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Piñata: Make Rent Rewarding

Piñata: Make Rent Rewarding

Pinata Global Inc

Lifestyle免费v2.73.0
App Store
评分

4.7

6,757 条评分

星级

★★★★★

最近更新

2026年5月4日

发布日期

2020年5月30日

更新内容

v2.73.0

System Improvements

应用信息

开发者
Pinata Global Inc
分类
Lifestyle
价格
免费
版本
2.73.0
App ID
1506986185

简介

Meet the Revamped Piñata App! Welcome to the ultimate rent rewards and credit building app designed to help renters live their best lives. With a sleek new interface, we've elevated the user experience to new heights. Join America's fastest-growing community of renters who love Piñata for its unmatched rewards and credit-building benefits. Key Features: Credit Building Simplified: Turn your rent payments into powerful credit-building tools. Piñata reports your timely payments to major credit bureaus, helping you improve your credit score effortlessly. Rewarding Rent Payments: Make your rent payments work for you. Earn valuable rewards for every on-time payment and redeem them for home items, gift cards, and mega-prize giveaways like Smart TVs, Dyson vacuums, and Apple watches. Exclusive Piñata Perks: Unlock a world of exclusive partner offers tailored just for Piñata users. Enjoy amazing savings on shopping, dining, entertainment, and travel as a valued Piñata member. Intuitive User Experience: Navigate your rewards and credit progress with ease thanks to our fully redesigned interface. Managing your rent has never been more enjoyable. Security You Can Trust: Your privacy and security are our top priorities. Piñata uses bank-level encryption to keep your personal information safe. And We're Just Getting Started: Piñata's mission is to make renting more rewarding, affordable, and secure. Download the app today and join a growing community of renters who are finally getting rewarded for their largest monthly expense. We're continuously rolling out new features and bigger rewards. Unlock your renting potential with Piñata and start building your credit and earning fantastic rewards today!

下载量预测

专业 · 预览

预估总下载量

501K338K965K
保守估计乐观估计

5K

低 / 月

7K

预估 / 月

13K

高 / 月

基于6,757 条评分
假设评分率1.4%
应用年龄73 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。