Compare two periods of quoting activity
A quote-to-close percentage can make it easier to compare conversion quality when quote volume changes from one period to the next.
Work Tools
Estimate what percentage of quotes turn into closed deals.
Why this page exists
Mid-funnel performance gets easier to review when quote volume and closed deals turn into one percentage instead of being compared as separate counts. This calculator helps users estimate quote-to-close rate from total quotes sent and total closed deals.
Interactive tool
Enter your numbers and read the result first, then use the sections below to understand what affects the outcome.
Calculator
Estimate what percentage of quotes turn into closed deals.
Result
Estimated quote-to-close conversion rate from total quotes sent and total closed deals.
This is a simple mid-funnel conversion estimate. Quote quality, timing, and deal size can all change how useful the result is in practice.
Planning note
Last updated April 16, 2026. Use this tool to compare scenarios and plan ahead, then confirm important details with the lender, employer, insurer, contractor, or other qualified provider involved in the final decision.
How it works
Enter total quotes sent and total closed deals.
The calculator divides closed deals by total quotes.
It shows the quote-to-close rate percentage and the quote and close counts used.
Understanding your result
This is a simple mid-funnel conversion measure. It can help show how efficiently quotes turn into wins, but it does not explain deal size, sales-cycle length, or quote quality.
Browse more work toolsExamples
Example scenarios help turn a quick estimate into a more useful comparison or planning step.
A quote-to-close percentage can make it easier to compare conversion quality when quote volume changes from one period to the next.
A stronger close rate can suggest better qualification, pricing, or follow-through if the counting basis stayed consistent.
Quote-to-close rate often becomes more useful when reviewed beside quota, win, and revenue-per-quote metrics.
When to use it
Use this when you want a clearer view of how many quotes are turning into actual wins.
It is especially useful when teams are quoting actively and want a cleaner middle-funnel checkpoint than quote count alone.
Assumptions and limitations
The estimate assumes quotes sent and closed deals are measured on the same basis and for the same reporting period.
It does not explain whether changes are coming from pricing, qualification, market conditions, or sales execution.
Common mistakes
Comparing teams without confirming the same quote definition can make the rate misleading.
Treating the percentage as a full revenue-health measure can ignore deal size and pipeline quality.
Practical tips
Review the rate beside revenue-per-quote and win rate so you can see both conversion quality and deal economics together.
Track the metric over several periods if you want to see whether quoting discipline is really improving.
Worked example
A worked example shows how the estimate behaves when the inputs resemble a real planning decision.
A team sends 90 quotes and closes 21 deals.
1. Enter the total quotes sent and total closed deals.
2. Divide closed deals by total quotes.
3. Read the result as the quote-to-close rate for that period.
Takeaway: The result turns quote activity into a clearer conversion benchmark than raw quote and close counts alone.
FAQ
The calculator divides total closed deals by total quotes sent and shows the result as a percentage.
Because this measure starts specifically at the quote stage, which can make it more useful for teams that want to inspect performance after qualification but before final close.
No. It is only one funnel measure, and revenue still depends on deal size, volume, timing, and margin.
Related tools
Quota, win-rate, and revenue-per-quote tools help show whether a strong or weak quote-to-close rate is translating into broader sales performance.
Pacing and acquisition-cost tools can add context when the quote-to-close result feeds a larger funnel-planning conversation.
Estimate how much of a sales quota has been achieved from quota target and actual sales.
Estimate how much more revenue or how many more sales may be needed to reach a target.
Estimate win rate from total opportunities and total wins, with losses count and opportunities per win.
Estimate average revenue generated per quote sent from total revenue and quote volume.
Estimate the pace needed to hit a quota target by a deadline.