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mTap - Digital Business Card

mTap - Digital Business Card

Hureka Technologies Inc.

Business免费v2.9
App Store
评分

5.0

34 条评分

星级

★★★★★

最近更新

2026年4月28日

发布日期

2022年7月16日

更新内容

v2.9

• Added CRM integration — connect, sync, and re-sync contacts to your CRM from within the app • Added session document access in Schedule and Agenda tabs, allowing attendees to view session materials with a single tap

应用信息

开发者
Hureka Technologies Inc.
分类
Business
价格
免费
版本
2.9
App ID
1579631741

简介

What is mTap? mTap is a small business essential for simplified networking. mTap is an electronic business card that removes the need for paper cards that are easily lost. Once you receive your NFC Business Card create your free profile and add all of the links you frequently share. You can claim multiple mTap devices with your mTap profile. This smart business card allows you to create personal and business profiles with individual links that you can turn on and off in real-time. Share contact information, review pages, menus, resumes, sign-up forms, websites, social media profiles, and virtually any digital asset all at once by simply tapping. Why choose mTap? mTap digital card digitises the very first step of networking, making it faster and more effective to exchange introductions. mTap's professional profile, custom-added links, and personalised features make it a qualified choice for people looking to switch from a traditional business card to a digital business card without having to pay an additional subscription to add more links. Excellent Customer Service: We provide hands-on diligent customer service directly from our team. If you have a problem with claiming or using your mTap you can reach mTap customer service on our website. We aim to resolve most issues within 6 hours. Otherwise, there is a 100% money-back guarantee when purchasing from this page. Privacy Policy: https://mtap.io/privacy-policy Terms Of Use: https://mtap.io/terms-and-conditions

下载量预测

专业 · 预览

预估总下载量

5K3K7K
保守估计乐观估计

72

低 / 月

96

预估 / 月

145

高 / 月

基于34 条评分
假设评分率0.8%
应用年龄47 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。