Product Feed Optimization

Marketplaces and shopping engines rank and filter products using the data in your feed, not by reading a human-styled web page. If a title is vague, an attribute is blank, or a category is wrong, the channel cannot match your product to the right searches — so it shows it less, or not at all. Two sellers offering the identical product can see very different visibility purely because one has a richer, cleaner feed.

Optimization also reduces friction at import. Channels increasingly reject or "disapprove" products that fail data checks: a missing GTIN, a price mismatch, an image that is too small, or a description that breaches policy. Cleaning these issues at the feed level is faster and more reliable than fixing thousands of listings inside each marketplace dashboard one at a time.

Titles do the heaviest lifting. Front-load them with the words buyers actually type — brand, product type, then the distinguishing attributes such as model, size, colour or material — within each channel's character limit. Avoid promotional language ("BEST DEAL!!") that some channels penalise or strip.

Complete the attributes. Marketplaces expose filters (colour, size, material, compatibility) that only work if those fields are populated, so filling recommended attributes widens the number of searches and filtered views your product appears in. Map every product to the most specific correct category rather than a vague parent, and ensure GTIN/EAN values are present and valid so offers attach to the right catalogue page.

Tend to the supporting data: use high-resolution images that meet each channel's minimum dimensions, keep descriptions accurate and policy-compliant, and ensure price and availability are always current. Where one source field does not fit a channel's expectation, transform it — splitting, relabelling, or enriching values — rather than sending the raw store data unchanged.