)
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.”
HubSpot’s native funnel reports cannot exclude retroactively updated deals from missed stage counts because they’re based on historical timestamps rather than current deal status. Once a deal is marked as “missed” at a specific stage, it remains in that status even if later moved through all stages and closed won.
Here’s how to build missed stage calculations that account for retroactive updates and reflect true performance.
Create conditional missed stage logic using Coefficient
Coefficient provides precise control over missed stage calculations by enabling custom logic that accounts for retroactive updates. You can import deal data from HubSpot and build formulas that exclude deals from “missed” counts if they ultimately convert.
How to make it work
Step 1. Import deal status and history data for comprehensive analysis.
Pull HubSpot deals with Current Stage, Deal Stage History, Last Modified Date, and Close Date. Use filtering capabilities to focus on deals within your analysis timeframe.
Step 2. Build conditional missed stage logic that accounts for final outcomes.
Create formulas that exclude deals from “missed” counts if they ultimately convert. Use: =IF(AND(ISNUMBER(SEARCH(“Stage_2”, StageHistory)), CurrentStage<>“Closed Won”), “Missed”, “Converted”). This only counts deals as missed at Stage 2 if they never reached Closed Won status.
Step 3. Implement update cutoff dates for historical accuracy.
Set analysis parameters that exclude deals updated after specific dates to avoid counting deals that may still be in progress. Use =IF(LastModified>CutoffDate, “Exclude”, MissedStageFormula) to filter out recently updated deals that might skew historical analysis.
Step 4. Calculate clean conversion rates excluding retroactive updates.
Derive accurate stage conversion metrics by dividing successful progressions by total eligible deals, excluding those that were retroactively updated to successful outcomes. Formula: =SUM(Converted) / (SUM(Converted) + SUM(TrulyMissed)).
Step 5. Track retroactive update patterns for process insights.
Identify which deals were retroactively updated and analyze patterns in timing, deal characteristics, or sales rep behavior that lead to stage updates after initial “missed” classification.
Step 6. Set up automated exception handling for data quality.
Configure alerts when significant numbers of deals are retroactively updated, indicating potential process issues or data quality concerns that affect reporting accuracy.
Get clean missed stage reporting that reflects true performance
This approach provides accurate missed stage reporting that reflects true sales performance rather than data timing artifacts. Start building conditional logic that excludes retroactively successful deals from missed counts.
