Audited ·Last updated 29 Jul 2026·4 citations·Tier 2·0 uses

Lead to Close Rate Calculator

Free lead to close rate calculator — stage-by-stage pipeline conversion from lead to qualified to opportunity to closed-won, plus leads per deal.

Lead to Close Rate Calculator

Every new lead that entered the pipeline in the period, from all sources — marketing, inbound and rep-sourced. Self-sourced prospects belong here too, or your later stage rates will look impossibly good.
Leads that passed qualification — HubSpot's Marketing Qualified Lead and Sales Qualified Lead stages, or whatever your CRM calls the point where a lead is accepted as worth working.
Qualified leads that became an actual deal record with a value and a close date attached.
Opportunities from this same cohort of leads that ended in a signed customer. At least one is required — with zero wins there is no leads-per-deal figure to report.
First-year contract value of a typical won deal. Only used to turn the close rate into revenue per lead — leave it at 0 if you only want the rates.
$
Lead to close rate
3.50
Closed-won deals as a share of all leads that entered the pipeline. It is exactly the product of the three stage rates below, which is why fixing any one stage moves it proportionally.
Lead → qualified
35.00
Qualified → opportunity
40.00
Opportunity → closed-won
25.00
Leads per closed deal
28.5714
Revenue per lead
332.50
Where the pipeline leaks
Lowest stage conversion: opportunity → closed-won, at 25.00%. That stage loses the largest share of what reaches it. These are cohort rates for the leads that entered in this period, so deals still open will pull the later stages down.

Background.

A single lead-to-close rate is a true number that tells you almost nothing useful. Three and a half percent of leads become customers — fine, but is that because marketing sends unqualified traffic, because qualified leads never become real deals, or because your reps lose the deals they do create? Those three failures have completely different fixes and identical headline numbers, which is why this calculator asks for the whole pipeline rather than the two ends of it.

The stages multiply. Twelve hundred leads producing 420 qualified leads, 168 opportunities and 42 wins gives stage rates of 35%, 40% and 25%, and 0.35 × 0.40 × 0.25 = 0.035 — the 3.5% end-to-end rate exactly. That identity is the practical point: a stage rate is the fraction of what reaches it, so lifting the worst stage from 25% to 30% raises the overall rate by the same proportion, from 3.5% to 4.2%, wherever in the chain that stage sits. The calculator names the weakest stage for you and reports ties as ties.

One caveat belongs beside the answer, not in a footnote. These are cohort rates: of the leads that entered in the period, what share reached each later stage. That is not the win rate your CRM shows. Salesforce's own documentation calculates win rate as WON ÷ CLOSED and states that it is "based only on opportunities that have been closed (either won or lost)" — open deals are excluded. This page divides by every opportunity created, including deals still in play, so if your sales cycle is longer than the period you are measuring, the opportunity-to-win figure here will be lower than your CRM's win rate and both will be correct. Use a period at least one full sales cycle old if you want the two to converge.

The first stage deserves particular suspicion. A weak lead-to-qualified rate is usually read as "marketing is sending rubbish", but it also counts every lead nobody ever touched. Sabnis, Chatterjee, Grewal and Lilien put a number on that in the Journal of Marketing: the sales lead black hole is "the 70% of leads generated by marketing departments that sales representatives do not pursue". Before rebuilding a lead-scoring model, check what share of the disqualified leads have any contact activity logged at all.

Stage names come from HubSpot's published lifecycle ladder — Lead, Marketing Qualified Lead, Sales Qualified Lead, Opportunity, Customer — because it is the most widely documented version. If your CRM uses different labels, map them once and keep the mapping fixed; changing where the qualification line sits moves two stage rates at once and neither move means anything.

Finally, the two money outputs. Leads per closed deal turns the rate into a plan: at 28.57 leads per deal, a quota of 20 new customers needs about 572 leads. Revenue per lead — deal value times the close rate — is the figure to hold against your cost per lead, because a pipeline that converts beautifully at a loss is still a pipeline that loses money.

What is lead to close rate calculator?

Lead-to-close rate is the share of leads entering a sales pipeline that end as won customers. Because a pipeline is a sequence of gates, it is more useful decomposed than aggregated: the end-to-end rate is the product of the individual stage rates, so the same 3.5% can be a qualification problem, a deal-creation problem or a closing problem. The stages used here follow HubSpot's documented lifecycle ladder, in which a Lead is "a contact or company that has converted on your website or through some other interaction with your organization beyond a subscription sign up", a Marketing Qualified Lead is one "that your marketing team has qualified as ready for the sales team", a Sales Qualified Lead one "that your sales team has qualified as a potential customer", an Opportunity one "associated with a deal", and a Customer one "with at least one closed deal". Salesforce's equivalent stage analysis reports "the average conversion rate for open opportunities for the selected stage".

How to use this calculator.

  1. Fix a period and a cohort first. Every number you enter must describe the same group of leads — the ones created in that window — followed through to whatever stage they have reached.
  2. Enter every lead, including ones reps sourced themselves. Counting only marketing leads while counting all wins produces a close rate that is simply wrong, usually flatteringly so.
  3. Enter qualified leads at whatever gate your team actually uses. What matters is that the same gate is used in every period, not which gate you pick.
  4. Enter opportunities and closed-won deals from that same cohort. Do not use this month's wins against this month's leads unless your sales cycle is genuinely shorter than a month.
  5. Add an average deal value if you want revenue per lead. Use first-year value consistently rather than mixing total contract value into some deals and not others.
  6. Read the weakest-stage line, then check whether that stage is a real conversion problem or a data problem — unworked leads and stale opportunities both show up as poor conversion.

The formula.

L2C = W ÷ L × 100 = (Q÷L) × (O÷Q) × (W÷O) × 100 Leads per deal = L ÷ W

Four divisions and a chain. Lead → qualified is qualified ÷ leads; qualified → opportunity is opportunities ÷ qualified; opportunity → closed-won is wins ÷ opportunities; and the end-to-end lead-to-close rate is wins ÷ leads. With the worked figures: 420 ÷ 1,200 = 35.00%, 168 ÷ 420 = 40.00%, 42 ÷ 168 = 25.00%, and 42 ÷ 1,200 = 3.50%. Because each stage divides by the previous stage's output, the intermediate counts cancel and the product of the three stage rates reproduces the end-to-end rate exactly: 0.35 × 0.40 × 0.25 = 0.035.

Leads per closed deal is simply leads ÷ wins, the reciprocal of the close rate — 1,200 ÷ 42 = 28.571428…, or equivalently 100 ÷ 3.5. Revenue per lead is wins × average deal value ÷ leads, which is the same thing as deal value × close rate: 42 × $9,500 ÷ 1,200 = $332.50, and $9,500 × 3.5% = $332.50.

The calculator requires a monotone funnel — wins ≤ opportunities ≤ qualified ≤ leads — and rejects anything else with a specific message, because a funnel that widens is nearly always a counting error rather than a miracle. It also requires at least one win, since leads-per-deal has no finite value at zero.

Rounding stage: nothing is rounded on the way through. All four divisions, the reciprocal and the revenue figure stay at full decimal precision and are rounded once, at the point results are returned, to ten decimal places. The only place any earlier rounding appears is inside the plain-language "where the pipeline leaks" sentence, which quotes the weakest stage rate to two decimal places for readability; the numeric outputs above it are unrounded.

A worked example.

Example

A B2B software team reviews the leads created in one quarter, measured a full sales cycle later so the cohort has settled. Of 1,200 leads, 420 were qualified, 168 became opportunities and 42 closed won at an average first-year value of $9,500. The stage rates are 35.00%, 40.00% and 25.00%; the end-to-end lead-to-close rate is 42 ÷ 1,200 = 3.50%, which is exactly 0.35 × 0.40 × 0.25. The pipeline consumes 28.57 leads for every customer, and each lead is worth $332.50 in first-year revenue — a number that matters only when set against what a lead costs to acquire. The weakest stage is opportunity → closed-won at 25.00%, so the obvious instinct is to coach closing skills. Check the alternative first: because these are cohort rates, any of the 168 opportunities still open at the measurement date counts as a non-win here. Suppose 42 of them were still open — the CRM would divide the 42 wins by the 126 opportunities that actually closed and report a win rate of 33.33%, against 25.00% here. Both are right; they answer different questions. If the cohort really is settled, then the arithmetic of a fix is straightforward: lifting the closing stage from 25% to 30% raises the overall rate from 3.50% to 4.20% and cuts leads per deal from 28.57 to 23.81, which is 8 extra customers a quarter on the same 1,200 leads. Lifting the first stage from 35% to 42% does exactly the same thing, and for most teams is the cheaper of the two.

qualified420
leads1,200
average Deal Value9,500
opportunities168
closed Won42

Frequently asked questions.

How do I calculate lead-to-close rate?
Divide closed-won deals by the number of leads that entered the pipeline, and multiply by 100. The useful version breaks it into stages — lead to qualified, qualified to opportunity, opportunity to won — because the product of those three is the end-to-end rate and only the stages tell you where the losses happen.
Why does my CRM show a higher win rate than this page?
Because it is measuring something else. Salesforce's documented win-rate calculation is WON ÷ CLOSED and counts only opportunities that have been closed, won or lost. This page divides wins by every opportunity the cohort created, including deals still open, so it is lower whenever business is still in flight. Measure a cohort that is at least one full sales cycle old and the two converge.
What counts as a lead, and what counts as qualified?
Whatever your CRM says, applied identically in every period. HubSpot's published ladder defines a Lead as a contact who converted on your site beyond a newsletter sign-up, a Marketing Qualified Lead as one marketing considers ready for sales, and a Sales Qualified Lead as one sales has accepted as a potential customer. The gate you choose matters far less than never moving it — shifting the qualification bar changes two stage rates at once and makes every historical comparison meaningless.
What is a good lead-to-close rate?
There is no benchmark worth quoting here, because the number depends almost entirely on what you call a lead. A team that counts every whitepaper download will report a fraction of a percent; a team that counts only demo requests will report double digits, with the same business underneath. Compare your rate with your own history at a fixed definition, and compare revenue per lead with cost per lead when you need an external judgement.
My lead-to-qualified rate dropped — is lead quality falling?
Maybe, but check follow-up first. The Journal of Marketing study that named the "sales lead black hole" put the share of marketing-generated leads that reps never pursue at 70%. A lead that was never contacted is indistinguishable from a lead that was assessed and rejected in most reporting, and the two call for opposite responses. Look at how many disqualified leads have any logged activity before you touch the scoring model.
How many leads do I need to hit a quota?
Multiply the quota by leads per closed deal. At 28.57 leads per deal, 20 new customers need about 572 leads, and 100 need roughly 2,858. Treat that as a floor: it assumes conversion holds while volume grows, and conversion usually softens as you buy less-qualified traffic. Running the same sum at a rate a fifth below your historical one is a quick sensitivity check.
Should rep-sourced prospects be in the lead count?
Yes, if they are in the win count. The commonest way this metric gets flattered is to count only marketing-sourced leads in the denominator while every won deal, however sourced, lands in the numerator. Either count both or split the funnel by source and run the calculator twice.

References& sources.

  1. [1]HubSpot Knowledge Base, "Use contact and company lifecycle stages" (current edition, retrieved 2026-07-29). Vendor documentation defining the stage ladder used on this page: Lead — "a contact or company that has converted on your website or through some other interaction with your organization beyond a subscription sign up"; Marketing Qualified Lead — "a contact or company that your marketing team has qualified as ready for the sales team"; Sales Qualified Lead — "a contact or company that your sales team has qualified as a potential customer"; Opportunity — "a contact or company that is associated with a deal"; Customer — "a contact or company with at least one closed deal". Also notes that automatic lifecycle updates "will only move the stage forward". Publicly accessible.
  2. [2]Salesforce Help, "Calculate Win Rate on Closed Opportunities in a Report" (article 000387867, retrieved 2026-07-29). Gives the formula WON:SUM / CLOSED:SUM and states that it "calculates the win rate based only on opportunities that have been closed (either won or lost)" — the basis for this page's warning that its cohort opportunity-to-win rate is not the same statistic as a CRM win rate. Publicly accessible.
  3. [3]Salesforce Help, "Sales Stage Analysis Conversion" (current edition, retrieved 2026-07-29). Defines the stage conversion KPI as "the average conversion rate for open opportunities for the selected stage", and the opportunity detail as "Total closed won / Total opportunities based on the selected stage". Consulted as a second, independent vendor definition of stage-level pipeline conversion; it agrees with the stage-by-stage decomposition this page implements. Publicly accessible.
  4. [4]Sabnis, G., Chatterjee, S. C., Grewal, R. & Lilien, G. L. (2013). "The Sales Lead Black Hole: On Sales Reps' Follow-Up of Marketing Leads." Journal of Marketing, 77(1), 52–67, DOI 10.1509/jm.10.0047 (abstract retrieved 2026-07-29). Peer-reviewed source for the statement that the sales lead black hole is "the 70% of leads generated by marketing departments that sales representatives do not pursue", which is why this page warns that a weak lead-to-qualified rate may be a follow-up problem rather than a lead-quality problem. Abstract public; full text paywalled.

Embed

Quanta Pro

Paid features are coming later.

  • All 762 calculators remain free
  • No billing is enabled
Coming soon