How to remove brand, SKU, and size from product names in a spreadsheet
Clean product names by removing brand, SKU, and size so the final name field stays short and readable.
Clean product names by removing brand, SKU, and size so the final name field stays short and readable.
Build product tags from brand, category, color, and size to prepare one field for search and filters.
Build a stable offer id from product ID, color, and size so product variants stay distinct during import.
Remove XML offers without an image so the export includes only products with a filled picture field.
Calculate discount percent from old and new prices so the export gets a ready discount_percent field.
Fill sale_price only for discounted products so regular items do not get a false sale price.
Add row export conditions to the price column: the price must be greater than or equal to the minimum and less than or equal to the maximum.
Convert cents or minor units into normal money values so exported prices are not inflated.
Normalize different order statuses to CRM values so paid, canceled, and local variants match.
Split a client full name into two columns so first and last name can be imported separately.
Split rating and review count from one text field into separate numeric columns for reporting.
Supplier tables can contain service rows such as Subtotal or Total. They should not be exported as product rows. In sku, add row export conditions: SKU is not empty, and name does not match the service marker.
The path column contains a value such as Clothing/Jackets/Winter. The export needs category_1, category_2, and category_3. Create three final columns from path and keep the needed part with a regex rule in each one.
Category levels are stored in cat_1, cat_2, and cat_3. The result needs one category path without extra separators when a level is empty. Create category_path from cat_1. Then append cat_2 and cat_3 only when the corr...
Each order item is a separate row. The export needs one row per order_id and a list of SKUs joined with a separator. Create sku_list from sku, enable row merging, and merge rows by order_id.
Eofferix merges adjacent rows with the same non-empty key and joins unique values from other columns with a semicolon.
A supplier uses columns such as supplier_sku, product_name, supplier_price, and photo_link. The marketplace template needs sku, title, price, and image_url. Create final columns with the marketplace names and bind eac...
The source sends image paths such as /upload/1001.jpg, while the receiver accepts only absolute URLs. In image_url, add a rule: if the current value does not contain http, add the site domain at the beginning.
A supplier file contains full image URLs, relative paths, and empty cells. Only rows where the image link starts with http:// or https:// should be exported. In image_url, add a row export condition: current value bef...
The url column contains a link with utm_source, utm_medium, and utm_campaign. The export needs a separate column for each tag. You can extract the value by removing parts of the string step by step. For many links, th...
A table contains full page URLs. The export needs a separate domain column with only the domain, without http://, https://, www., path, query parameters, or anchor. You can do it without regular expressions by searchi...
Normalize country names to ISO codes so CRM, ERP, or marketplace imports receive one format.
Extract pack quantity from a text description to get a separate numeric pack_qty field.
Convert mixed millimeter, centimeter, and meter values into one centimeter column for import.
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