What are good conversion rates by sales funnel stage?
There's no honest single set of "good" conversion rates for every funnel stage: we found no public study that covers all of them with a stated sample and method. A few stages have traceable numbers from single vendors or surveys, and you should read those as examples, not targets. The rates that matter are your own: measure lead to meeting booked, held, opportunity, proposal and closed-won over the last 90 days, then try to beat each one.
Updated
Why can't you just look up a benchmark for every stage?
Because the tables you find online usually fail one of three tests: the sample isn't named, the stage isn't defined, or the number comes from a vendor's own customers and gets presented as the market.
Stage definitions are the biggest problem. One company's "lead" is a form fill. Another's is any name in a list. One company's "opportunity" needs budget confirmed. Another's needs only a meeting held. A rate of 20% between two stages means nothing until you know where each one starts and stops.
So we looked for each number at the place it was first published. Where we found one with a named sample, it's below, labeled for what it measures. Where we didn't, we say so.
What numbers can we actually trace?
Three, and none of them is a stage-by-stage market average.
| Stage | Number | What it measures |
|---|---|---|
| Cold email, first contact | 3.43% reply rate: all replies, follow-ups included, divided by emails sent. Top 25% of senders 5.5%+; top 10% 10.7%+ | Instantly's cold email report, covering January 1 to December 18, 2025 on Instantly's platform. Vendor data, no exact sample size published. Replies per email sent, not per prospect, and not meetings |
| Cold call, conversation to meeting | 4.82% (254 meetings from 5,265 conversations) | Cognism's 2024 report, compiled with WHAM, which gives the figures as 55,701 dials and 9,247 connects. The report does not say whose calls they were. One company, not an industry average |
| SDR meeting quota (not a stage rate) | Median monthly SDR quota of 10 first meetings held (the report's "Stage 0 held", global median, down 40% since 2018; 16.0 on the introductory model); 60% of SDRs at quota, the lowest in the study's history | The Bridge Group, 2025 SDR research, 351 B2B companies. A quota target, not a conversion rate |
That's it for traceable stage numbers. Nothing we could source covers meeting held to opportunity, opportunity to proposal, or proposal to closed-won. If a page gives you those with confidence and no named sample, it's an estimate.
Don't treat the three above as your target. Use them to check that your own number isn't wildly out of range, and nothing more. For deeper reads on each, see what a good cold email reply rate is. For the full SDR benchmark set, see how many meetings an SDR should book per month.
What are the stages you should measure?
Five conversion points. Write down the exact definition of each before you count anything.
| # | Stage change | Formula | Define it like this (our guidance) |
|---|---|---|---|
| 1 | Lead to meeting booked | Meetings booked ÷ leads worked | Lead = a person you actually contacted, not a name on a list |
| 2 | Booked to held | Meetings held ÷ meetings booked | Held = the meeting ran |
| 3 | Held to opportunity | Opportunities ÷ meetings held | Opportunity = your own written rule, such as a named problem and a next step on the calendar |
| 4 | Opportunity to proposal | Proposals sent ÷ opportunities | Proposal = a price in writing |
| 5 | Proposal to closed-won | Deals won ÷ proposals sent | Won = signed |
Two rules keep it honest:
- Count by cohort. Take the leads that entered in one period and follow them. If you divide this month's wins by this month's leads, a long sales cycle will make your rates swing for no reason. If your sales cycle runs longer than 90 days, keep following the cohort until most of its deals have closed or died, or your late-stage rates will read too low.
- Write the rule once and don't move it. If you change what counts as an opportunity halfway through, the baseline is useless.
Stage 5 is the number most teams already track. For that one, start with what a good B2B win rate is.
How do you build your own baseline?
Pull the last 90 days from your CRM, or your spreadsheet if you don't have one, and fill in a table with your own columns:
| Stage change | Entered the stage | Moved forward | Your rate |
|---|---|---|---|
| Lead to meeting booked | |||
| Booked to held | |||
| Held to opportunity | |||
| Opportunity to proposal | |||
| Proposal to closed-won | |||
| Lead to closed-won |
Our example, invented numbers: you worked 400 leads and followed them for 90 days.
| Stage change | Entered | Moved forward | Rate |
|---|---|---|---|
| Lead to meeting booked | 400 | 48 | 48 ÷ 400 = 12.0% |
| Booked to held | 48 | 34 | 34 ÷ 48 = 70.8% |
| Held to opportunity | 34 | 17 | 17 ÷ 34 = 50.0% |
| Opportunity to proposal | 17 | 9 | 9 ÷ 17 = 52.9% |
| Proposal to closed-won | 9 | 3 | 3 ÷ 9 = 33.3% |
| Lead to closed-won | 400 | 3 | 3 ÷ 400 = 0.75% |
Check the math by multiplying the stages: 0.12 × 0.708 × 0.50 × 0.529 × 0.333 = 0.0075, which matches 3 wins from 400 leads. In this example it takes about 133 leads (400 ÷ 3) to produce one win.
A warning about sample size. Three wins is a thin number. Our guidance: when a stage has fewer than about 30 deals entering it, read the rate as a direction, not a fact, and widen the window before you act.
Which stage should you fix first?
Not automatically the lowest rate. Because the stages multiply, a 10% relative lift at any stage adds the same 10% more wins. So the real question is which stage you can move the most, in relative terms, for the least effort.
Using the same invented example, test two changes, one at a time:
- Show rate from 70.8% to 80%. 0.12 × 0.80 × 0.50 × 0.529 × 0.333 ≈ 0.0085. That's about 3.4 wins per 400 leads instead of 3.0, or 13% more.
- Proposal-to-won from 33.3% to 40%. 0.12 × 0.708 × 0.50 × 0.529 × 0.40 = 0.009. That's 3.6 wins per 400, or 20% more.
Both are modest moves. The second pays more only because it is the bigger relative jump: 33.3% to 40% is a fifth more, while 70.8% to 80% is about an eighth more. Where a stage sits in the funnel doesn't change the result. What changes it is how far, in relative terms, you can realistically push each rate. Run it on your own numbers.
Once you have the leak, get the repair. For the dial side, our walkthrough on how many cold calls it takes to book a meeting shows how to find the weak stage between dial and meeting. For the back half, see how many meetings it takes to close one deal. To lift meetings booked and what happens in them, see what words get a prospect to put a time in the calendar and how to secure a concrete next step before the call ends.
How do you know if your rates are good?
Compare them with yourself, in three steps. Our guidance:
- Baseline: your rate at each stage over the last 90 days.
- Target: a rate a little above your baseline that you have already hit in at least one month, set only for stages where about 30 or more entered in the window (our guidance).
- Alarm: any month that falls well below the baseline. Check what changed: lead source, rep, price, a new competitor.
Then split each rate by the cuts that usually explain it: lead source, rep, and deal size. A blended 12% can hide a 25% source and a 3% source. Rates by stage also feed the sales velocity formula, where win rate is one of the four inputs.
Sources
Sources accessed October 9, 2026.
- Instantly, "Cold Email Benchmark Report 2026" (2026), on Instantly's platform, data window January 1 to December 18, 2025: https://instantly.ai/cold-email-benchmark-report-2026
- Cognism, "The State of Cold Calling 2024 Report" (2024), compiled with We Have A Meeting: https://cognism.com/state-of-cold-calling
- The Bridge Group, "SDR Models, Motions & Metrics: 2025 Research Report" (2025): https://www.bridgegroupinc.com/research/2025-sdr-models-metrics-report-the-bridge-group