Definition
Sales cycle length is the average time from first touch to closed-won. It affects cash timing and pipeline planning.
Formula
Sales cycle length = average days from lead to close
Example
If average time to close is 62 days, cycle length is 62 days.
How to use it
- Track by segment and deal size for more accurate planning.
- Shortening the cycle improves cash flow and forecast reliability.
Common mistakes
- Mixing inbound and outbound cycles without segmentation.
- Ignoring stalled deals that inflate averages.
Measured as
Sales cycle length = average days from lead to close
Misused when
- Mixing inbound and outbound cycles without segmentation.
- Ignoring stalled deals that inflate averages.
Operator takeaway
- Track by segment and deal size for more accurate planning.
- Shortening the cycle improves cash flow and forecast reliability.
- Keep Sales Cycle Duration consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
- Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.
Next decision
- Read Pipeline coverage and sales cycle math: set realistic targets (and avoid sandbagging) if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide whether Sales Cycle Duration is a growth, retention, or efficiency signal before you set targets around it.
Where to use this on MetricKit
Guides
- Pipeline coverage and sales cycle math: set realistic targets (and avoid sandbagging): A practical guide to pipeline coverage: connect quota, win rate, sales cycle length, and CAC/payback constraints to set realistic growth targets.
- Sales ops metrics hub: quota, pipeline, win rate, and capacity planning: A practical hub for sales ops planning: quota attainment, pipeline coverage, required pipeline, sales capacity with ramp, and OTE math.