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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.”
HubSpotYou can integrate time-based sales metrics with conversion data by importing comprehensive timestamp data fromand using formulas to create unified dashboards that reveal how speed impacts conversion success and deal outcomes.
This approach seamlessly merges critical time and conversion dimensions that HubSpot’s reporting segregates into separate analytics modules.
Merge time and conversion analytics using Coefficient
Coefficient’sHubSpot’ssales dashboard consolidation seamlessly merges time-based and conversion metrics thatreporting segregates. Instead of requiring multiple reports to understand the relationship between speed and success, you’ll see both dimensions integrated in one comprehensive view.
How to make it work
Step 1. Import comprehensive timestamp data.
Pull contact creation and all lifecycle stage dates, deal creation and stage entry/close dates, activity timestamps for response time calculation, and last modified dates for momentum tracking. This gives you complete temporal context for all sales activities.
Step 2. Calculate time-based KPIs with formulas.
Create Lead Response Time = First_Activity – Contact_Created, Stage Duration = Stage_Exit_Date – Stage_Entry_Date, Sales Cycle = Close_Date – First_Contact_Date, and Pipeline Velocity = Pipeline_Value / Days_in_Pipeline. These calculations transform timestamps into actionable speed metrics.
Step 3. Build conversion-time correlation matrix.
Structure data with response time buckets (<1hr, 1-4hrs, 4-24hrs, >24hrs) in Row 1, conversion rates for each bucket in Row 2, and average deal size per bucket in Row 3. This reveals insights like “faster response = higher conversion and larger deals.”
Step 4. Create unified visualization with dynamic intelligence.
Build scatter plots with time metrics on X-axis and conversion rates on Y-axis, using bubble size for deal value and color coding for different reps. Add rolling averages using =AVERAGEIFS(cycle_time,close_date,”>=”&TODAY()-30) and period comparisons for trend analysis.
Reveal how timing impacts your sales results
Start buildingThis integrated approach reveals insights like “Deals contacted within 1 hour convert 3x better and close 40% faster”—insights impossible to derive from HubSpot’s separate time and conversion reports.your time-conversion dashboard today.
