Stamp Loyalty app icon

Apps Like Stamp Loyalty for iPhone and iPad

by United Alliance LLC★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

Stamp Loyalty screenshots

Ranked alternatives

Showing 141–160 of 1,000 ranked alternatives.

  1. 1858 Coffee House app icon

    1858 Coffee House

    Craver Solutions Inc.

    Order drinks, view status, track points

    Order drinks, smoothies, and bakery items. Pick up made-to-order items at the downtown Salina location. View order status and track loyalty points.

    ★ 4.949 ratingsLifestyleFreeData updated 2026-09-06
  1. Fidall - Loyalty Cards & Deals app icon

    Fidall - Loyalty Cards & Deals

    Fidall

    Save , track rewards, simplify shopping

    Store , rewards, and cashback offers in one place. Access weekly and promotions. View expiration dates and terms. Share with others. No registration or fees required. Sync across devices.

    ★ 4.532 ratingsLifestyleFreeData updated 2026-09-08
  2. Hunnu Air app icon

    Hunnu Air

    Tapatrip Limited Liability Company

    ★ 0.00 ratingsTravelFreeData updated 2026-09-06
  3. Gentlemens Image & Style app icon

    Gentlemens Image & Style

    STARAPP SISTEMAS LTDA ME

    Book appointments and track history

    Book appointments and receive reminders for upcoming visits. View calendar events and track past appointments. Monitor subscriptions, expenses, and loyalty points. Schedule multiple services in one visit.

    ★ 5.041 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Brewwww! app icon

    Brewwww!

    Bululu Information Technology Services (ningbo) Co., Ltd

    ★ 4.831 ratingsFood & DrinkFreeData updated 2026-09-23
  5. Escapade VIP app icon

    Escapade VIP

    ESCAPADE 2001

    Access events, offers, and loyalty.

    The app provides users with event details, available offers, and loyalty balances. Users can also view new menu items, manage their account, and receive notifications.

    ★ 3.836 ratingsEntertainmentFreeData updated 2026-10-25

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.