Sales teams with longer sales cycles often misread funnel performance because leads and closed deals are reported in the same time period. Leads generated today usually close 60 to 90 days later, which causes standard monthly reports to show mismatched performance and misleading conversion rates. Native HubSpot reports lack the flexibility to offset reporting periods, making it hard to see how the funnel truly performs over time.
In this setup, Alex Lee uses Databox to build a rolling lead-to-revenue funnel that reflects how deals actually move through the pipeline. By using calculated metrics with retained date ranges, his team tracks leads over the last 90 days and compares them to deals closing today. This creates a more realistic conversion rate, adds clarity across each funnel stage, and makes it easier to see which lead sources generate the biggest and fastest deals.
When sales cycles extend beyond a single month, same-period reporting hides real performance. The signal to watch is a disconnect between lead volume and closed deals. Offset your reporting windows so conversions reflect how long deals actually take to close.
Using calculated metrics with retained date settings ensures each metric keeps its intended time frame, even when global dashboard dates change. This prevents accidental distortion of conversion rates when comparing different funnel stages.
By placing metrics with different date ranges into a single pipeline view, you can see drop-off and conversion rates across stages. Look for sharp declines between steps like lead creation and discovery calls to identify where prospects stall.
Can I build this funnel using HubSpot or Salesforce data?
Yes, Databox integrates with both platforms and allows custom filtering by lead creation date, deal stages, and more.
Why are my conversion numbers different between HubSpot and Google Ads?
This is caused by attribution model differences. HubSpot may use different attribution windows or models than Google Ads. Ensure both platforms use the same attribution model and verify proper conversion tracking setup.
What if my sales cycle is shorter or longer than 90 days?
You can customize the rolling window to match your unique cycle: 30, 60, 120+ days. The rolling window technique adapts to your specific sales velocity.
How do I fix data mapping issues between HubSpot and Salesforce?
Review field mappings carefully, ensure property types are compatible, map Salesforce Record IDs to HubSpot properties, and set sync rules to prevent conflicts.
Can I add my own funnel stages like “Discovery Call” or “Proposal Sent”?
Absolutely. You can create calculated metrics for any stage you track in your CRM using HubSpot’s Lead Object and Databox’s Metric Builder.
What should I do if my funnel data looks inconsistent between systems?
Check data sync settings, ensure all systems use the same date ranges and filters, verify timezone settings, and confirm field mappings are aligned.
How do I handle leads that convert much faster or slower than my rolling window?
Use multiple attribution models simultaneously with different rolling windows (30, 60, 90 days) or implement time-decay attribution models.
Can I track leads from multiple traffic sources in the same funnel?
Yes, you can filter by traffic source using UTM parameters consistently across campaigns and ensure your CRM captures original source data properly.