Benefit Loves: Rewards App app icon

Apps Like Benefit Loves: Rewards App for iPhone and iPad

by Benefit Cosmetics Limited★ 5.01 ratingsShoppingFreeData updated 2026-09-06

Ranked alternatives

Showing 321–340 of 1,000 ranked alternatives.

  1. ABC  Lebanon app icon

    ABC Lebanon

    ABC SAL

    Shop instantly, browse updates, find stores

    Browse products and access updated store information. Search for locations and view event details. Accumulate and check points balance. Redeem points for rewards. Register vehicles for parking. Navigate with an updated interface.

    ★ 4.450 ratingsShoppingFreeData updated 2026-09-08
  2. Claim app icon

    Claim

    Borming d.o.o.

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  1. Premo Club app icon

    Premo Club

    Premo Cannabis Company LLC

    Shop, earn rewards, and track orders

    Manage cannabis purchases with the , allowing users to shop online or in-store, track loyalty points, redeem rewards for discounts, and access exclusive offers. View product details, place orders, and manage account settings.

    ★ 4.36 ratingsLifestyleFreeData updated 2026-09-06
  2. G+ app icon

    G+

    TADA Network Pte Ltd

    ★ 5.02 ratingsShoppingFreeData updated 2026-09-06
  3. SipSonar app icon

    SipSonar

    Vitalis Ventures LLC

    Browse happy hours and drink deals

    Browse happy hours, drink specials, and events by day of the week. Search and filter by city, venue type, or activity. Stay updated with accurate info from venues and the community. Earn points by suggesting new events.

    ★ 5.011 ratingsFood & DrinkFreeData updated 2026-09-06
  4. Canndy Club app icon

    Canndy Club

    Canndy Inc

    Order cannabis, track delivery, view products

    Browse cannabis products and customize orders in real time. Place orders with a few taps and track them live. Edit orders on the go. Manage delivery preferences and view order status updates.

    ★ 4.816 ratingsUtilitiesFreeData updated 2026-09-06

How we rank alternatives

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