Conversion rate is the share of people at one step who take the next one. The formula is conversion rate = conversions / visitors x 100, so 400 leads from 20,000 visitors is 2.0%. For a single page, fill in the first two fields below. For a B2B funnel, fill in every stage you track, from visitors to customers: the calculator returns each stage rate, the overall rate, and how much you need at the top of the funnel to hit a customer target.
Website conversion rate, qualified leads and sales (Ruler Analytics, 2026)
What are the conversion rate formulas for each funnel stage?
Every stage uses the same division: the count at a stage divided by the count at the stage before it. The overall rate divides the last stage by the first. For the definitions behind each stage, see our glossary entries on conversion rate, MQLs and SQLs.
| Rate | Formula | Default example |
|---|---|---|
| Visitor to lead | Leads / Visitors | 400 / 20,000 = 2.00% |
| Lead to MQL | MQLs / Leads | 160 / 400 = 40.0% |
| MQL to SQL | SQLs / MQLs | 64 / 160 = 40.0% |
| SQL to opportunity | Opportunities / SQLs | 40 / 64 = 62.5% |
| Win rate | Customers / Opportunities | 10 / 40 = 25.0% |
| Overall | Customers / Visitors | 10 / 20,000 = 0.050% |
| Needed at a stage | Target / product of the later stage rates | 15 / (25% x 62.5%) = 96 SQLs |
Use counts from the same cohort where you can: the leads created in a quarter and what those leads became, not this quarter's leads next to this quarter's deals. B2B sales cycles run for months, so mixing periods makes the later stage rates swing for no reason.
What is a good conversion rate for a B2B website?
Ruler Analytics' 2026 conversion rate study (110 million+ sessions and 5 million+ conversions across 13 industries) puts the average at 7.6% for software, 6.1% for professional services and 5.13% across all industries. Ruler counts a conversion as a qualified lead or a sale and tracks offline conversions too, through multi-touch attribution. If your rate counts every form fill and newsletter sign-up, it is a different number, so compare like with like. Figures re-checked on 30 October 2026.
We do not publish benchmarks for the later stages. Published MQL-to-SQL and SQL-to-opportunity "averages" disagree widely, mostly because each company defines an MQL and an opportunity differently. Your own rates, tracked by month and by lead source, are the benchmark that matters.
Which stage should you improve first?
Because the stages multiply, a 20% improvement at any one stage gives you 20% more customers. The math does not pick the stage for you. Cost and speed do.
Illustrative, not a benchmark. Brightquay, a fictional payroll software company, has the default funnel above and wants 15 customers a quarter instead of 10.
| Option | Change | Customers a quarter |
|---|---|---|
| Buy more traffic | 20,000 to 30,000 visitors | 15 |
| Fix the demo form | Visitor to lead 2.0% to 3.0% | 15 |
| Tighten sales follow-up | MQL to SQL 40% to 60% | 15 |
| Two smaller fixes | Visitor to lead 2.0% to 2.5% and win rate 25% to 30% | 15 |
All four reach the target. The first costs media every quarter forever; the others cost work once. Brightquay's website step has the most volume, so it is the only one where it can run a clean A/B test in a few weeks. The sales steps have too few deals to test, so they are fixed with process changes and read over a couple of quarters.
How do you improve a B2B conversion rate?
- Visitor to lead. Match the page to the ad or search that brought the visitor, shorten the form, and offer a next step for buyers who are not ready for a demo. Test changes with our A/B test significance calculator so you know a lift is real.
- Lead to MQL to SQL. Most leaks here are about speed and fit: slow follow-up, or leads from outside your ideal customer profile. Our guide to the B2B SaaS sales funnel covers the handoff stage by stage.
- Opportunity to customer. Win rate and deal speed together decide how fast pipeline turns into revenue; the pipeline velocity calculator puts them in one number.
- Before the visit. If paid traffic feeds the funnel, the CTR calculator shows how well the ads earn the click in the first place, and the CPA calculator what each conversion costs.
Our conversion rate optimization service starts from this funnel view: we find the stage that costs the most to leave as it is, fix the page or the handoff, and measure the result on pipeline, not form fills.
Frequently asked
How do you calculate conversion rate?
Divide conversions by the number of people who could have converted, then multiply by 100. Conversion rate = conversions / visitors x 100. 400 leads from 20,000 website visitors is a 2.0% conversion rate. Keep the denominator the same over time (visitors, sessions or ad clicks) so you can compare months.
How do you calculate the conversion rate of a whole funnel?
Divide the count at the last stage by the count at the first stage, or multiply the stage rates together. 10 customers from 20,000 visitors is 0.05%. The same answer comes from 2.0% x 40% x 40% x 62.5% x 25%. Enter each stage in the calculator to see both the stage rates and the overall rate.
What is a good website conversion rate for B2B?
Ruler Analytics' 2026 study puts the average at 7.6% for software and 6.1% for professional services, and 5.13% across all industries. Ruler counts a conversion as a qualified lead or a sale, tracked across online and offline touchpoints, so a rate based on every form fill will not match it. Your own trend is a better benchmark than any average.
What is a good MQL to SQL conversion rate?
There is no reliable single number, because every company defines an MQL differently. A tight MQL definition gives a high MQL-to-SQL rate and fewer MQLs; a loose one gives the opposite. Track your own rate by month and by source, and change the MQL definition only on purpose, so the trend stays comparable.
How many leads do I need to hit my sales target?
Work backwards. Divide your target customers by your win rate to get opportunities, then divide by each earlier stage rate in turn. With the default rates above, 15 customers need 60 opportunities, 96 SQLs, 240 MQLs, 600 leads and 30,000 visitors. Enter your target in the second part of the calculator.
What is the difference between conversion rate and click-through rate?
Click-through rate is the share of people who saw an ad or link and clicked it (clicks / impressions). Conversion rate is the share of people who reached a page or stage and took the next step (conversions / visitors). CTR measures the ad; conversion rate measures the page and the funnel after the click.
