Car part buyers search by vehicle, not part number

A buyer shopping for a car part is usually starting from the car, not the part — make, model,
year, sometimes trim. Around one in four eBay Motors listings currently includes the vehicle compatibility
data that lets a listing show up in that kind of search. The other three in four are, for that specific
search, effectively invisible — not because anything is wrong with the listing, but because the field
buyers are filtering on was never filled in.

The field that does two jobs

Fitment data is unusual among item specifics in that it protects a seller at both ends of a sale, not
just the search end. A buyer who cannot confirm from a listing whether a part actually fits their vehicle
either does not buy at all, or buys and finds out afterwards that it does not fit — and returns have
gotten more expensive to be wrong about since free returns became mandatory on qualifying US Motors parts
in July 2025, with the seller covering the full cost of a “doesn’t match the listing” return.
Complete fitment data is not just a visibility fix. It is a returns-cost fix wearing the same field.

What Motors fitment tools add

Vehicle compatibility, parts diagrams and fitment fields can be added across Motors listings, so a
listing that currently only shows up on a part-number search starts showing up on a vehicle search too
— which, for the buyer behaviour described above, is the search that actually matters most.

A deadline worth planning around

MyFitment shuts down on 30 September 2026, announced 31 July with no migration tooling and third-party
integration support already withdrawn. If any fitment data currently lives there, it is worth checking
directly what is actually live in Listing Optimiser before that date, rather than assuming it will carry
across on its own.

What we are not claiming

We are not claiming Frooition replaces whatever reach MyFitment had into Amazon or other third-party
channels — if cross-channel fitment data mattered to a seller’s setup, that gap needs a direct
answer, not an assumption. And the “one in four” figure is the number we are standing behind
consistently; a separate rendering as “23%” exists elsewhere and we are not mixing the two.