Compare Product Categories
Group Hardal Commerce items by category or brand to compare product interest, purchases, and revenue.
Category analysis helps a merchandising or growth team decide which parts of an assortment deserve closer attention. Use the categories supplied in your item events, rather than assuming Hardal imports your store's catalog structure.
Keep category values consistent
Include the relevant item-category fields in product-view, cart, and purchase data according to the Item object. Keep IDs, names, and category labels consistent across senders. Check a sample event before interpreting a blank category as a product-performance issue.
Group the Commerce table
Open Commerce → Items for a fixed tenant, source, date range, and timezone. Choose Category under Group by. Use Columns to inspect views, cart activity, orders, quantity, and revenue where available. Sort the table and paginate beyond the first groups.
Compare categories using several signals together:
| Question | Inspect |
|---|---|
| Where is product interest concentrated? | Item views and cart activity |
| Where are purchases concentrated? | Purchased quantity and revenue |
| Is a category's result driven by a few products? | The grouped item details and individual item rows |
Switch to Brand for a different assortment question. Grouping changes the aggregation; it does not create new tracking data or supply missing product attributes.
Keep the totals meaningful
An order can contain items from several categories, so category-level order counts should not automatically be added together as distinct orders. Purchased quantity is also different from the number of unique products. Check Commerce definitions and the reporting currency.
Use product interest-to-purchase analysis to investigate the individual products behind a category's aggregate result.