)
Written by
Table of Contents
“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 aging reports show which customers owe money, but they can’t tell you if those same customers are disengaging with your product or reducing their activity in your CRM.
Here’s how to merge QuickBooks invoice aging data with CRM records to create unified customer retention scoring that catches churn signals early.
Combine financial and engagement data in one spreadsheet using Coefficient
Coefficient lets you import QuickBooks A/R aging data alongside CRM records from Salesforce, HubSpot, or other platforms into the same spreadsheet. This creates a complete customer health view that correlates payment behavior with engagement patterns.
How to make it work
Step 1. Import QuickBooks A/R aging data.
Use Coefficient’s “From QuickBooks Report” feature to pull the A/R Aging Detail or A/R Aging Summary reports directly. Alternatively, build custom aging analysis using “From Objects & Fields” to select Invoice objects with Customer, Due Date, Amount Due, and Days Overdue fields.
Step 2. Import CRM customer records.
Connect your CRM system through Coefficient and import customer engagement data like last activity date, support ticket count, product usage scores, or sales rep interaction frequency. Make sure to include customer ID or email fields for matching.
Step 3. Create customer matching logic.
Use VLOOKUP or INDEX/MATCH functions to merge datasets by customer ID or email address. For example: `=VLOOKUP(A2,CRM_Data!A:F,4,FALSE)` to pull engagement scores for each customer with aging invoices.
Step 4. Build retention risk scoring formulas.
Create calculated fields that combine aging amounts with engagement metrics. Weight customers with both high aging balances AND low engagement scores as highest churn risk. Use formulas like `=IF(AND(Days_Overdue>30,Engagement_Score<3),"High Risk","Monitor")`.
Step 5. Set up automated refresh schedules.
Configure daily refreshes for both QuickBooks aging data and CRM metrics to maintain current customer health scores. This ensures your retention analysis reflects real-time changes in both payment behavior and customer engagement.
Get complete customer health visibility
Combining financial aging data with CRM engagement metrics reveals retention patterns invisible when analyzing either dataset alone. Start building integrated customer health scoring that predicts churn before it happens.
