Some countries use the period character as the thousands separator and the comma character as the decimal separator when formatting currencies. Yo…
To export the conversion rate by page with EZ Exporter, create a Data Settings for "Analytics" data and use the ShopifyQL query below: …
When creating a Data Settings for a Product export, you can add the following in the Custom Filters section to filter products that don'…
Shopify image URLs typically looks something like this: https://cdn.shopify.com/s/files/1/1165/2200/products/Sleeping-Cat.jpg?v=1501485987 …
We support a function called search_attributes(data, attribute_name) which enables our users to do this. For example, let's say you have a Car…
We have a function called strip_non_numeric_chars() which you can use in the Calculated Fields that will take care of this for you automatically. …
You can use a formula similar to the one below in the Calculated Fields to automatically remove numeric characters on export: "".join(…
There are a couple ways you can take care of this in EZ Exporter. By default, Shopify adds a hash symbol ("#") in front of the…
In EZ Exporter, you can use a Calculated Field with a formula like below to strip out the query string portion of the URL data (the part after the qu…
The Shopify API exposes the following information in the transaction data:"payment_details": { "avs_result_code": "123456", "credit_card_bin": …
If you need to create separate CSV or Excel exports based on a line item's assigned location, you can use the Custom Filters option in EZ Ex…
There may be cases where you need to limit the number of characters for certain Shopify fields in the CSV file. For example, you may need to send a …
In the Data Settings of EZ Exporter, under Filters > Created, there's an option you can select called "Since Last Successful Run.&qu…
We have a special field called line_items._index that can be used in the Custom Fields or Calculated Fields sections in the Data Settings of ord…
You can add blank columns in EZ Exporter using Custom Fields with the value {{}}: