Add to bag report
Items added to baskets — counts, ranking and export guidance.
This page documents the Add to bag report — it shows how often products are added to baskets and helps you understand interest and friction before checkout.
At a glance
- Purpose: surface product-level add-to-bag activity over a selected date range so you can identify popular items and product interest ahead of purchase.
- Primary visuals: a ranked bar chart showing top items added to bag and a table under the chart listing the same rows. Filters allow narrowing by date, brand and category.
Chart overview
- Visual: horizontal or vertical bars representing add-to-bag counts per product (common metric: quantity added to bag).
- Behaviour: bars are ordered by quantity so the most-added products appear first; long product names can be inspected in the table or on hover.
- Metric options: quantity (number of adds).
Filters and controls
- Date range selector: pick the period to analyse (from / to).
Table and export
Under the chart there is a table listing products in rank order (same rows as the chart). Typical columns exported in CSV:
sku,product_name,quantity,item_price,image_url,product_url
SKU-000123,Example Product,340,25.00,https://.../img.jpg,https://.../product/sku-000123- The CSV includes one row per product containing SKU (if available), product name, quantity (times added to bag), item_price (current unit price), image_url and product_url.
How to interpret the report
- High quantity, low item_price: many users add the product but it may be low value — consider cross-sell or bundling to increase AOV.
- High quantity and high item_price: products with strong interest and high value — prioritise availability and merchandising.
- Compare add-to-bag with wishlist and purchase reports to see whether interest converts to order; large gaps may indicate checkout friction.
Walkthrough: quick start
Choose the period you want to inspect (single day, week, or custom range).
Use Brand / Category filters to focus on the assortment you care about.
Sort or inspect the table to find items with the highest add-to-bag counts and compare with purchase rates.
Click Export → CSV to download the product rows for offline analysis.
How is this guide?
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