BigCommerce products in a live spreadsheet
Add the Products table to a sheet as a data source named products and its 22 columns become names your formulas, pivot tables and charts use. Sheets reads it from your BigCommerce store each time the sheet opens or refreshes.
Formulas on this table
=data.products.sum(price) Total price. Adds up the Price column over every row of Products.
=data.products.sum(price, type, A2) Price per type. With a type in A2, the total for that one. Fill it down next to a list of them.
=list.products(type) Every type, once. Spills the distinct type values down the column: the row labels for the formula above.
=data.products.sum(price, created, ">=2026-01-01") Since a date. Only rows whose Created is on or after 1 January 2026. Criteria such as ">=", "<" and "<>" work as in any spreadsheet.
=data.products.count(name, type, "<>") Rows with a type. Counts the rows whose Type is not empty.
=data.products.avg(sale_price) Average sale price. avg, min, max, count, countd (distinct) and first work the same way as sum.
Reports that use it
=data.products.count(id, stock, "<5") Low stock. Products with fewer than five in stock.
Columns
| Column | In formulas | Type |
|---|---|---|
| Name | name | Text |
| Type | type | Text |
| SKU | sku | Text |
| Visible | visible | Yes / no |
| Availability | availability | Text |
| Brand | brand | Text |
| Categories | categories | Text |
| Price | price | Number |
| Sale price | sale_price | Number |
| Retail price | retail_price | Number |
| Cost price | cost_price | Number |
| Selling price | selling_price | Number |
| Inventory tracking | inventory_tracking | Text |
| Stock | stock | Whole number |
| Stock value | stock_value | Number |
| Units sold | units_sold | Whole number |
| Reviews | reviews | Whole number |
| Average rating | average_rating | Number |
| Featured | featured | Yes / no |
| Created | created | Date |
| Modified | modified | Date |
| ID | id | Text |
Other catalog tables
Your products, live
Orders, refunds, products, customers and coupons become live tables inside your BigCommerce control panel. Sales reports and dashboards stay current without exporting a CSV.