Returns by Category

The Returns by Category chart is the highest level of the product-aggregation hierarchy: Category > Product Type > Product > Variant. It’s the right place to start if you have a large catalog and want a department-level view before drilling in.

Where the category comes from

Categories are derived from each product’s Shopify metafields and collection membership. Specifically: if a product belongs to a collection that represents a department (Men, Women, Kids, Home, Beauty, etc.), the product is assigned to that category. Products that don’t belong to any department-style collection roll up to Uncategorised.

If your store doesn’t use department collections, this chart will mostly show one big “Uncategorised” bar. The fix is in Shopify (organise your catalog into department collections), not RefundSentry.

Reading the chart

• Bars sorted by return volume, descending.
• Each bar shows return count, return rate %, and the risk-zone breakdown.
• Hover any bar to see the top 3 product types within the category that drive its return volume.

What to look for

• One category dominating — Usually fine if it matches your sales mix. A worry only when the category’s return rate is materially higher than others.
• Disproportionate risk — Two categories with the same return count but very different LOW/MEDIUM/HIGH splits suggest a customer-base difference (one category attracts riskier customers, e.g. luxury vs. fast-fashion segments of the same store).
• Uncategorised > 20% of returns — Your product taxonomy needs work. Spend an hour cleaning collections in Shopify before reading too much into this chart.

Drill-down path

1. Click a category bar to filter the dashboard.
2. Open Product types filtered to the same category to see which sub-types drive the volume.
3. Open Product risk map filtered to the same category to see the individual SKUs.

Next steps

• Returns by product type — one level deeper.
• Financial impact — the dollar value of each category’s returns.