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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.”
Customer success teams need to see product usage, CRM activities, and billing health in one place to make informed decisions. But these systems rarely talk to each other, forcing teams to jump between platforms and piece together incomplete pictures.
Here’s how to create a unified customer dashboard that combines all three data sources into a single, dynamic view that updates automatically.
Build a unified customer intelligence dashboard using Coefficient
Coefficient connects simultaneously to your CRM ( Salesforce or HubSpot ), product database, and billing system, pulling all customer data into Google Sheets where you can build comprehensive analytics and health scores.
How to make it work
Step 1. Connect your three core data sources.
Set up connections to your CRM for account and opportunity data, your product database (Snowflake, BigQuery, or PostgreSQL) for usage metrics, and your billing system (Chargebee, Stripe) for subscription information. Each connection authenticates through Coefficient’s sidebar in about 30 seconds.
Step 2. Create a structured dashboard layout.
Organize your Google Sheet with dedicated sections: control panel (rows 1-3), CRM summary (rows 5-15), product usage metrics with trend charts (rows 17-27), billing and revenue data (rows 29-39), and combined analytics with health scores (rows 41+). This structure keeps related information grouped logically.
Step 3. Implement dynamic linking with a master identifier.
Create a customer identifier cell (like B2) and configure each import to filter dynamically using references like {{B2}}. Set up CRM imports with “Account_Domain = {{B2}}”, usage imports with “customer_id = {{B2}}”, and billing imports with “company_domain = {{B2}}” so all data updates when you change customers.
Step 4. Build calculated health metrics combining all data sources.
Create comprehensive scores using formulas like =(Usage_Score*0.4 + Payment_Health*0.3 + Engagement_Score*0.3) for overall customer health. Add churn risk indicators with =IF(AND(Usage_Decline>20%, Days_to_Renewal<60), "High Risk", "Normal") and expansion potential calculations.
Step 5. Add visual intelligence and automated alerts.
Include sparkline charts for usage trends, conditional formatting for health indicators, and summary cards with key metrics. Set up automated alerts for significant usage drops, payment failures, or renewal approaching with low engagement using Coefficient’s notification features.
Transform your customer success operations
This unified approach eliminates system switching and provides instant, actionable insights for customer success, sales, and leadership teams. Start building your comprehensive customer dashboard today.
