Apps Like Referral Booster for iPhone and iPad
Share links in one place
Create a centralized page with all links organized. Share deals, discounts, and invites in one place. Customize and distribute links easily. Track referrals and manage invites without multiple apps.
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
CashKaro - Cashback & Coupons
Pouring Pounds India Private Limited
Shop online and earn
Search for and offers from partnered retailers. Redeem after completing purchases. Track balance and view transaction history. Compare deals across multiple brands. Share with friends. Set reminders for upcoming offers.
OVEY
OPENSURVEY INC.
Answer surveys and earn rewards
Complete surveys to earn cash rewards. Invite friends via link or Kakaotalk to receive 300 Korean Won per referral. Track survey history and view reward balance. Share completed surveys with friends.
FM Cosmetics - Beauty Shop
Evans Frimpong Manso
And browse products
Browse products with intuitive navigation and high-quality images. Filter items by category such as makeup, skincare, and haircare. Receive personalized recommendations based on preferences. Join a community to share tips and reviews.
Pick 'n Save
The Kroger Co.
Link card to earn rewards
Create and track Pickup, Delivery, and Ship orders directly. Shop from thousands of third-party products. Use Kroger Pay for in-store checkout with one scan. Link Fresh Perks Card for rewards and savings. Manage account settings and order history.
Wishlist by Giftbuster
Giftbuster Inc.
Save product links and create wishlists
Create and manage multiple wishlists for different people or purposes. Add products from any store by saving links and details with one click. Share wishlists instantly with others.
It’s Boba Time
Incentivio, Inc.
Order drinks, skip lines, earn rewards
Order drinks for pickup or delivery. Earn rewards with each purchase. Check gift card balance, add funds, and pay within the . Only available at participating locations.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.