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Slice - Order Local Pizza

Slice - Order Local Pizza

Slice Solutions, Inc.

Food & Drink免费v7.6.0
App Store
评分

4.9

711,027 条评分

星级

★★★★★

最近更新

2026年4月29日

发布日期

2013年9月27日

更新内容

v7.6.0

Bug fixes and improvements.

应用信息

开发者
Slice Solutions, Inc.
分类
Food & Drink
价格
免费
版本
7.6.0
App ID
699705083

简介

All your favorite local pizzerias in one easy App Slice makes it easy to order from your favorite neighborhood pizzeria. Order delivery or takeout, customize your pizza exactly how you like it and track your order from the oven to you. Earn free pizza with Slice Rewards Slice is your pizza loyalty app. Earn 1 Pizza Point for every $15 spent, and get a free large cheese pizza at 8 points. Build your perfect pizza Extra cheese? Half pepperoni, half pineapple? Easily build a custom pizza and save it to reorder in just one tap. Add drinks, sides, desserts, and more Round out your order with wings, mozzarella sticks, salads, pasta, and other favorites offered by your local pizzeria. Choose delivery or pickup Get pizza delivered to your door or place a pickup order for takeout. Slice shows you clear delivery time and order details, so you always know what to expect. Track your pizza delivery in real time With our live order tracker, see exactly when your pizza goes into the oven and when it’s on its way to you. Easy, secure payments Pay quickly and securely with Apple Pay or credit card. Your payment information is protected every time you order. Reorder faster every time Save your favorite orders so reordering is quick and effortless. Find trusted local pizzerias near you Browse nearby pizzerias, check out their menus, and find your next favorite spot. Download Slice and make pizza night simple Enjoy high-quality pizza while supporting the best local pizzerias in your community. Slice makes it easy to order and reorder custom pizza from your favorite independent pizzeria.

下载量预测

专业 · 预览

预估总下载量

52.7M35.6M101.6M
保守估计乐观估计

231K

低 / 月

342K

预估 / 月

660K

高 / 月

基于711,027 条评分
假设评分率1.4%
应用年龄154 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。