How to sync QuickBooks customer payment history to Google Sheets automatically

using Coefficient google-sheets Add-in (500k+ users)

Automatically sync QuickBooks customer payment history to Google Sheets with comprehensive data access and enhanced payment analytics.

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Native QuickBooks payment reports are limited in customization and require manual generation for each analysis need, creating barriers to comprehensive payment pattern analysis.

Here’s how to automatically sync complete customer payment history with enhanced analytics capabilities beyond QuickBooks’ standard reporting.

Sync payment history automatically using Coefficient

Coefficient provides seamless automatic synchronization of QuickBooks customer payment history to Google Sheets, overcoming QuickBooks’ limitations in payment history reporting and manual export requirements.

How to make it work

Step 1. Import comprehensive payment data using Objects & Fields method.

Use Coefficient’s “From Objects & Fields” to import Payment data including payment dates, amounts, and methods, associated customer and invoice information, check numbers and reference details, and applied amounts and unapplied credits for complete payment tracking.

Step 2. Access complete historical data beyond standard reports.

Import complete payment history rather than being limited to QuickBooks’ standard report date ranges. This provides comprehensive customer payment pattern analysis spanning your entire business relationship history with each customer.

Step 3. Configure automated refresh scheduling.

Set up daily or real-time updates to ensure payment history stays current as new payments are recorded in QuickBooks. This eliminates the lag time associated with manual exports and provides immediate visibility into recent payment activity.

Step 4. Create enhanced payment analysis with calculated fields.

Build payment analytics not available in standard QuickBooks reports using formulas like =AVERAGE([Payment Date]-[Invoice Date]) for average days to payment by customer, payment frequency patterns, seasonal payment trends, and payment method preferences and success rates.

Step 5. Organize customer-specific views with filtering capabilities.

Create customer-focused payment history organization using =FILTER([Payment Data],[Customer Name]=A2) that allows customer success teams to quickly access specific customer payment patterns for relationship management and credit decisions.

Transform payment history into customer intelligence

This automated synchronization transforms payment history from static, periodic reports into dynamic, always-current customer intelligence that supports better collections and customer relationship management decisions. Start syncing your payment history automatically.

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