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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.”
QuickBooks lacks native rolling forecast functionality, forcing you to manually export data and update formulas each month. This manual process is time-consuming and prone to errors that can break your forecast models.
Here’s how to set up automated rolling forecasts that update with fresh QuickBooks actuals without any manual intervention.
Automate rolling forecast updates using Coefficient
Coefficient solves this by providing automated QuickBooks data sync with scheduled refresh capabilities. Instead of manually exporting data each month, you can set up automated imports that pull the latest transactions and update your forecast models automatically.
How to make it work
Step 1. Connect Coefficient to your QuickBooks account.
You’ll need Admin permissions to establish the connection. Once connected, you can import actuals using the “From QuickBooks Report” method and select from Profit & Loss, Balance Sheet, or Trial Balance reports.
Step 2. Set up automated refresh scheduling.
Configure hourly, daily, or weekly refresh schedules to pull the latest QuickBooks transactions. Use date-based filtering to import specific periods, like the last 12 months of actuals, keeping your data focused and lightweight.
Step 3. Build your rolling forecast structure.
Import historical actuals automatically into designated columns for months 1-12. Build forecast formulas in adjacent columns that reference the live QuickBooks data. As new months complete, the automated refresh shifts actual data forward while maintaining your forecast calculations.
Step 4. Use advanced filtering for granular forecasting.
Leverage Coefficient’s “Objects & Fields” import method to pull specific accounts or classes. This lets you create detailed forecasts at the account level while maintaining the automated refresh functionality.
Set up separate imports for different forecast components
For best results, create separate imports for revenue, expenses, and cash flow using filtered data. This keeps your models lightweight and ensures fast refresh times while maintaining the automated updates that eliminate monthly manual work.
