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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.”
You can create flexible churn dashboards in Google Sheets that instantly toggle between customer count and ARR views using pivot tables and live CRM data. This approach transforms static reports into dynamic tools that show both customer impact and financial implications without rebuilding analyses.
The key is setting up pivot tables that can switch value fields instantly during presentations or analysis sessions. Here’s how to build dashboards with maximum flexibility.
Build flexible ARR churn dashboards using Coefficient
Coefficient’s integration with Google Sheets pivot tables enables instant toggling between count-based and ARR-based churn views. You get both comprehensive data and flexible visualization without rebuilding reports.
How to make it work
Step 1. Import comprehensive customer and revenue data.
Use Coefficient to pull both customer counts and revenue data from HubSpot or Salesforce . Include Customer ID (for counting unique churned customers), ARR/MRR values (for revenue impact analysis), acquisition and churn dates (for cohort grouping), and additional attributes for segmentation.
Step 2. Create a master pivot table with flexible value fields.
Build a single pivot configuration with acquisition month cohorts (rows), months since acquisition (columns), and a flexible values field. Set up rows for acquisition month cohorts, columns for months since acquisition, and prepare the values field for quick switching between metrics.
Step 3. Implement quick toggle mechanisms.
Use pivot table value switching by clicking the values field dropdown and switching between COUNT(Customer ID) and SUM(ARR) – the table instantly recalculates. Alternatively, create dual pivot dashboards with identical tables side-by-side (one showing customer count, the other ARR) or build dynamic dashboard controls with dropdown cells that switch entire dashboard views.
Step 4. Add advanced toggle features for deeper analysis.
Create percentage views with calculated fields for retention percentages. Add hybrid metrics showing average ARR per churned customer. Build comparison modes that display both metrics with variance analysis. Use conditional formatting that adjusts based on the selected metric.
Transform static reports into dynamic churn analysis tools
Flexible churn dashboards enable stakeholders to understand both customer impact and financial implications instantly. You can switch from “245 customers churned” to “$2.4M ARR lost” during presentations without rebuilding analyses. Start building your dynamic churn dashboard today.
