McFarland Advantage app icon

Apps Like McFarland Advantage for iPhone and iPad

by MC FARLAND CHEVROLET INC★ 3.73 ratingsBusinessFreeData updated 2026-09-06

McFarland Advantage screenshots

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. Kim's No Bull Advantage app icon

    Kim's No Bull Advantage

    KIM'S AUTOMOTIVE, INC.

    Track loyalty points and view service history

    Track vehicle service history and loyalty program participation. View detailed specifications and maintenance recommendations. Calculate fuel efficiency and store documents. Access exclusive service deals and parked car features.

    ★ 5.01 ratingsBusinessFreeData updated 2026-09-06
  2. Kirby Subaru Advantage app icon

    Kirby Subaru Advantage

    Kirby Oldsmobile

    Track rewards, view service history, manage account

    Track Rewards program participation and service history. View detailed vehicle specs and maintenance recommendations. Access MPG calculator and parked car status. Store documents and receive exclusive service deals.

    ★ 4.712 ratingsBusinessFreeData updated 2026-09-06
  3. Laird Noller Auto Group app icon

    Laird Noller Auto Group

    LAIRD NOLLER AUTOMOTIVE, INC.

    Track loyalty points and view service history

    View and track Loyalty program participation and vehicle service history. Access detailed vehicle specs, maintenance recommendations, and MPG data. Store and organize service documents. Receive exclusive service deals via the .

    ★ 4.812 ratingsBusinessFreeData updated 2026-09-06
  4. Beaverton Toyota Clear Care app icon

    Beaverton Toyota Clear Care

    Russ Auto Inc.

    Track loyalty points and service history

    View vehicle service history and track loyalty program participation. Access detailed vehicle specs and maintenance recommendations. Calculate fuel efficiency and locate parked cars. Store documents and scan QR codes or VINs for vehicle information.

    ★ 4.04 ratingsBusinessFreeData updated 2026-09-06

How we rank alternatives

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