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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 doesn’t maintain point-in-time snapshots of property values, so retrieving what deal scores or custom properties were when deals exited stages in the past is nearly impossible. The platform only shows current values and basic change logs.
Here’s how to build a historical dataset going forward and create analysis capabilities for deals that have already moved through your pipeline.
Build historical property retrieval using Coefficient
Coefficient can’t retrieve past values that weren’t previously logged, but it immediately starts building a comprehensive historical database of all your HubSpot deal properties. By setting up hourly snapshots and continuous logging, you create a queryable historical record that preserves exact property values at regular intervals. For deals that already exited stages, you can analyze available property change patterns and establish baselines for future tracking.
How to make it work
Step 1. Establish immediate historical data collection.
Set up a HubSpot import that includes all deals and properties you need to track historically. Configure hourly snapshots using Coefficient’s append feature to begin building your historical record immediately, ensuring you capture future stage exits with complete property context.
Step 2. Create comprehensive stage exit logging.
Build a dedicated import that checks for deals with recent stage changes every 30 minutes. When stage changes are detected, append the complete deal data including all property values, creating a permanent log of property states at transition moments.
Step 3. Build historical data query system.
Design sheets that group historical records by Deal ID and use spreadsheet functions like VLOOKUP or INDEX/MATCH to find specific property values at any captured timestamp. Create pivot tables to analyze property patterns at stage exits and identify trends across multiple deals.
Step 4. Implement retroactive analysis approach.
For deals that already exited stages, import current deal data with available property histories and create comparison sheets to analyze property change patterns. Use formulas to estimate likely values based on change patterns and establish baselines for future tracking accuracy.
Start building your property history
While you can’t retrieve unlogged past values, this system immediately begins creating the comprehensive historical database HubSpot lacks. You’ll have queryable property data for all future stage exits and analytical tools for understanding past patterns. Begin building your historical property database with Coefficient today.
