Most returned products

At a glance

• Purpose: surface product-level return activity over a selected date range so merchants can identify frequently returned items and investigate root causes.
• Primary visuals: a ranked bar chart showing most-returned products and a table under the chart listing the same rows. A right-hand filter panel lets you narrow the range by date, brand and category.

Chart overview

• Visual: horizontal or vertical bars representing product return activity (commonly return count or return rate). The Y axis (or horizontal measure for a horizontal bar chart) shows the metric (return count or return rate) and the X axis lists product names.
• Behaviour: where product names are long they can be viewed on hover or via the table; bars are ordered by the chosen metric so the most-returned items are shown first.

Typical metrics available:

• Return count: number of returns recorded for the SKU in the selected range (useful for operational investigations).
• Return rate: ratio of returns to units sold for the SKU in the selected range (useful for quality and product issues).

Filters and controls

• Date range selector: pick the period you want to analyse (from / to).
• Brand filter: restrict the view to a single brand or multiple selected brands.
• Category filter: focus the chart and table on one or more product categories.

Table and export

• Under the chart there is a table listing the products in rank order (same rows as the chart). Typical columns exported in CSV:

sku,product_name,return_count,units_sold,return_rate,item_price,image_url,product_url,returns_value
SKU-000123,Example Product,12,120,0.10,25.00,https://.../img.jpg,https://.../product/sku-000123,300.00

• The CSV includes one row per product with SKU, product name, return_count, units_sold (if available), return_rate, unit price, image URL, product URL and total returns value for the product over the selected range.

How to interpret the report

• High return count, low sales: a small SKU with many returns — investigate the product quality or listing accuracy.
• High return rate: proportionally many returns compared to sales — focus on product defects, size/fit issues, or misleading information.
• Rapid changes in rank: sudden increases in returns often follow a bad batch, a product change, or a recent promotion — cross-check production and promotion logs.

Walkthrough: quick start