How to Show Average Time to Close Deals by Pipeline
This HubSpot hack shows how to create a custom report to visualise the average time it takes to close deals, broken down by pipeline. It’s particularly useful for companies with multiple sales pipelines (e.g., sector-based or function-specific). The report uses HubSpot’s native "Days to Close" property and is quick to set up using the custom report builder.
Why It's Useful
This report is ideal for companies with:
- Multiple sales pipelines (e.g., sector-based like pharmaceutical, defense, or functional like sales vs. lettings)
- Large volumes of deal data
- A need to identify performance trends between different teams or sales strategies
A client asked: “Can we show average time to close deals by pipeline?”
The answer: Yes — and it’s easier than you might think using HubSpot’s standard reporting tools.
Group deals by pipeline to compare the average time to close across different sales workflows.
The answer: Yes — and it’s easier than you might think using HubSpot’s standard reporting tools.
How to Implement It
- Go to the Report Builder
- Navigate to Reports > Custom Report Builder
- Select Deal-based report
- Navigate to Reports > Custom Report Builder
- Add Key Properties as Filters & Data Points
Use the following properties:
- Days to Close (calculated property)
- Pipeline
- Time in Deal Stage
- Create Date
- Days to Close (calculated property)
Group deals by pipeline to compare the average time to close across different sales workflows.
4. Choose a Time Frequency
-
- Select a time interval for viewing deal data over time (e.g., quarterly)
- Avoid overly granular views like daily, unless working with large datasets
- Select a time interval for viewing deal data over time (e.g., quarterly)
5. Use Averages (not Sum)
-
- When using the Days to Close property, ensure you’re displaying the average, not the sum
- This gives a clearer view of how long it typically takes to close deals per pipeline
- When using the Days to Close property, ensure you’re displaying the average, not the sum
Interpreting the Report
The report can help highlight performance differences:
- Pipelines with longer average close times may signal issues like:
- Poor lead quality
- Lack of follow-up
- Decision-makers going cold
- Gaps in communication or sales enablement
- Poor lead quality
This opens opportunities for sales training, process refinement, or better lead qualification.
Final Tip
Always double-check that “Days to Close” is set to Average in your visualisation — this ensures you're getting actionable insights, not misleading totals.
By Carl Griffiths