Time in Stage measures the average amount of time a lead, deal, or opportunity spends in a specific stage of the sales pipeline or customer journey.
It helps sales and marketing teams identify bottlenecks, inefficiencies, or friction points in the process. For example, if opportunities consistently spend too long in the Proposal stage, it may indicate issues with pricing, product fit, or follow-ups.
You can calculate Time in Stage by measuring the difference between the date an opportunity enters a stage and the date it leaves that stage, then averaging this duration across all opportunities.
Time in Stage = ∑ (Exit Date−Entry Date) ÷ Number of Opportunities in Stage
The ideal Time in Stage should be <14 days, depending on sales cycle.
Sales Cycle Length measures the total duration of the sales process, while Time in Stage isolates how long opportunities spend in each specific stage.
It often signals friction in that stage, such as unclear value proposition, lack of urgency, misaligned pricing, or slow follow-ups from the sales team.
Averages are common, but medians can be more reliable since outliers (very long or very short deals) can skew the average.