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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
When you export LWC table data to Excel, leading zeros get stripped from fields like account numbers, ZIP codes, and product codes because Excel automatically converts numeric-looking strings to numbers.
Here’s how to maintain data integrity without building complex JavaScript solutions or wrestling with SheetJS library implementations.
Export Salesforce data with automatic leading zero preservation using Coefficient
Coefficient eliminates the technical challenge of preserving leading zeros by providing direct Salesforce -to-Excel connectivity with automatic data type preservation. Unlike LWC table exports that require custom development with JavaScript libraries, Coefficient connects to any Salesforce object or report and maintains formatting automatically.
How to make it work
Step 1. Connect your Salesforce org to Coefficient.
Install the Coefficient add-in for Excel and authenticate with your Salesforce credentials. This creates a secure connection that preserves all field metadata and formatting rules.
Step 2. Select your data source.
Choose from any Salesforce object, custom report, or build a custom query. Coefficient automatically detects field types and applies proper formatting for text fields containing leading zeros.
Step 3. Apply filters if needed.
Use Coefficient’s visual filter builder with AND/OR logic to narrow down your data. You can filter by Number, Text, Date, Boolean, and Picklist fields without writing custom filtering code.
Step 4. Export with guaranteed formatting preservation.
Run the export and your leading zeros will be preserved automatically. Account numbers like “00123456” stay as “00123456” instead of becoming “123456” in Excel.
Skip the custom development complexity
This approach bypasses the technical complexity of SheetJS implementation in LWC while delivering superior formatting control. Get started with Coefficient to maintain data integrity without the development overhead.
