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Returns are a data problem before they are a product problem

In home categories, a large share of returns trace to the listing, not the product: colour truth, dimensions, assembly expectations. How to read return reasons as catalog feedback.

6 min read

When return rates climb, the instinct is to blame the product or the customer. In home and furnishings, a large share of returns are neither — they are listings writing cheques the product was never going to cash. Wrong-colour, wrong-size and not-as-described returns are catalog faults wearing a logistics cost, and unlike product faults, they can be fixed from a desk.

Colour truth

Colour disappointment is a chain of small distortions: warm studio lighting, an enthusiastic edit, a colour name promising more than the dye lot delivers, and a buyer's screen adding its own opinion. You control three of the four. Photograph in honest light, name colours accurately rather than aspirationally, and show the colourway the buyer is actually ordering — not the hero colour with a swatch chip.

Dimensions and the doorway problem

Furniture returns include a persistent category best summarised as it did not fit — the sofa and the stairwell, the rug and the room, the table and the space between counters. Complete assembled dimensions, packaging dimensions for the delivery path, and a scale shot in a real room prevent a meaningful share of these. This is also a service opportunity: the listing that helps a buyer check fit reads as more trustworthy than the one that hopes they will not.

Set assembly and care expectations before the sale

A piece that arrives flat-packed when the buyer expected assembled is a return with an angry review attached — and an accurate listing would have cost nothing. Assembly requirements, tools, time and care instructions belong in the listing, not the box. Buyers rarely return products for honest requirements; they return them for surprises.

Read return reasons as catalog feedback

Every marketplace hands you return reasons. Treated as noise, they cost money twice; treated as data, they are a free listing audit. The working loop: tag each return reason to the listing field that could have prevented it — colour to imagery and naming, size to dimensions and scale shots, not-as-described to copy — then fix by field across the catalog, not by SKU.

  • Wrong colour or finish → imagery lighting, colourway photos, colour naming
  • Wrong size or does not fit → dimension completeness, scale shots, packaging dimensions
  • Not as described → copy accuracy, materials and construction attributes
  • Damaged in transit → packaging and freight classification, not the listing — route it to the logistics log

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