Apps Like Dr Laura Clinic for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.






Clover
Clover Network, Inc.
Support local businesses all in one.
The app allows users to discover local businesses, place orders for pickup or delivery, and book appointments. Users can earn and redeem rewards points, track past orders, and view upcoming bookings.


Thrive Pet Healthcare
TXAVC PLLC
Book appointments for pets
Book appointments for multiple pets and call clinics. Set a preferred clinic location. View pet information and add profile pictures. Review invoices and receive reminders for due dates.

Evolve Beauty Clinic
EVOLVE BEAUTY CLINIC LIMITED
Book appointments and track loyalty points
Book appointments 24/7 and manage loyalty points. View appointment history and track Treatcard rewards. Access exclusive offers and update account details. Browse staff profiles and select preferred professionals.

Prodigy Cuts
Daniel Garza (TX)
Book appointments and track loyalty points
Book appointments anytime, view team members, and save appointment history. Track Treatcard loyalty points and receive exclusive offers. Manage bookings and loyalty rewards through the .


Laura's Boutique
Laura's Boutique Inc.
Shop new styles and trends daily
Browse product listings with filters for style, size, and price. Add items to a cart and proceed to checkout. View order history and track shipments. Access customer support through in- messaging.




Salon Di Panache
Salon Di Panache LLC
Book appointments and track loyalty points
Book appointments anytime, view team profiles, and track past visits. Monitor loyalty points and receive exclusive offers. Manage appointments and loyalty details within the .

Salon on Main
Salon on Main LLC
Book appointments, track loyalty points, manage
Book appointments anytime, view team profiles, and track past appointments. Monitor Treatcard loyalty points and receive exclusive offers. Manage appointment history and access special promotions.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.