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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.”
HubSpot’s dashboard capabilities are limited when creating dynamic revenue forecasts that combine company and pipeline dimensions. The platform lacks the flexibility to create real-time forecast calculations with custom weighting and probability adjustments.
Here’s how to build truly dynamic forecast dashboards with live data connectivity, interactive filtering, and automated updates that provide the company-level pipeline granularity HubSpot’s native dashboards simply can’t deliver.
Build dynamic forecast dashboards using Coefficient
Coefficient enables dynamic forecast dashboards through live data imports and advanced spreadsheet functionality. You can create dashboards that automatically adjust forecasts based on deal stage probability changes and provide interactive filtering for flexible company and pipeline analysis.
How to make it work
Step 1. Establish live data foundation with scheduled refreshes.
Import deals with company associations and pipeline data from HubSpot using scheduled refreshes. Set up hourly or daily refresh schedules to keep dashboard data current. Include all relevant fields like deal amount, stage, probability, close date, and associated company information.
Step 2. Create dynamic forecast calculations.
Build formulas that automatically adjust forecasts based on deal stage probability and close date changes. For example: =Deal_Amount * VLOOKUP(Deal_Stage, Probability_Table, 2, FALSE) * IF(Close_Date <= EOMONTH(TODAY(),0), 1, 0.8). These calculations update automatically when data refreshes.
Step 3. Implement interactive filtering with dynamic references.
Create dynamic filters that reference specific spreadsheet cells for flexible company and pipeline selection. Use data validation dropdowns to let users select companies or pipelines, then reference these cells in your formulas. For example: =SUMIFS(Forecast_Amount, Company, $A$1, Pipeline, $B$1).
Step 4. Build visual dashboards with charts and summary tables.
Create charts and summary tables that automatically update with refreshed data. Use pivot tables for quick company/pipeline breakdowns, and build custom summary tables with SUMIFS and other functions for more specific views. Add conditional formatting to highlight significant changes or variances.
Step 5. Set up stakeholder sharing and notifications.
Share live spreadsheet dashboards that update automatically without manual intervention. Configure Slack and Email Alerts to notify stakeholders of significant forecast changes, using variables to include specific amounts and variance percentages in notifications.
Step 6. Ensure new deals inherit calculations automatically.
Use Formula Auto Fill Down to ensure new deals automatically inherit forecast calculations when data refreshes. This keeps your dashboard calculations current as new opportunities are added to HubSpot .
Get truly dynamic forecasting with real-time updates
This creates dynamic revenue forecast dashboards with the company-level pipeline granularity and real-time updates that HubSpot’s native dashboards cannot provide. Start building your dynamic forecast dashboard today.
