• General Settings

  Access the "Settings Page": The settings configured on the Settings page serve as the default for your reports.. Notification The app will sendFew readers

• Set the Value of a Column

  The value of a column can be set in the Report Editor: Layout Mappings Rows (only for position "after each new item" and "before each new item") To use the value of other columns the syntax is: column name .Some readers

• Regex for Search and Replace

  In the report editor in Layout , the Format Options for a column allow you to search and replace using regular expressions. Here is an example: To check the settings, click “Test settings”: (https://storage.crisp.chat/Few readers

• Date Format

  To change the date format of a field, click on "Format options" located on the right side of the field. To customize the presentation of date values, specify the desired format. Only set this if you need formatted date values, such as for CSV files.Some readers

• Custom Term Filter

  This feature allows you to search similarly to Shopify's search bar. It enables advanced filtering for specific content. For example, you can search for orders that include certain products (SKUs, product names) within the order. Use the custom term as shown in this example: The output for this example will be: only unfulfilled oFew readers

• Excel Formulas

  When selecting the "Excel" file type ( ), the "Value" will be evaluated as an Excel formula if it begins with "=" ( ), as shown in this example: The export mode can also be modified ( ):Few readers

• Export Selected Orders

  With DataChamp, you can export selected orders directly from Shopify. To do this, go to the Shopify orders overview ( ) and select the orders you want to export ( ). Then, click on the "three dots" ( ) at the bottom of the orders overview and choose "DataChamp Export" ( ). (https://storage.crisp.chat/users/helpdesk/website/d00f55635133d800/export-Few readers

• Incremental Exports

  Incremental export in DataChamp refers to the process of adding new data to an existing Google Sheets file without overwriting the existing information. This ensures continuous updates while preserving historical data. Finding the Next Free Row: DataChamp searches for the next available row in the existing Google Sheets file. New data is appended starting from this row, ensuring that existing data remains intact. Checking the Tab NameFew readers