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MQL to SQO Calculator

Start with the opportunities or pipeline you need, and work backward to the SQLs and MQLs it takes to get there. Every rate is benchmarked against published B2B data, with a conservative, typical and strong scenario so you can plan for a range instead of one hopeful number.

1Plan your numbers

Set your goal, choose the benchmark that fits your business and see what it takes. Use your own conversion rates instead once you have two or more quarters of reliable data.

Your goal

Start from

Benchmark

Base the benchmark on

Your own rates

Timing

Average days between stages
MQLs needed
0

2The benchmarks behind it

Each scenario uses a low, typical and strong value. Typical is the middle of the published range; conservative is the low end; strong reflects top-quartile teams with tight scoring and fast follow-up.

By deal size

Larger deals bring bigger buying committees and stricter qualification, so fewer MQLs become SQLs.

By lead source

Hand-raisers convert far better than content downloads or cold outbound. Your mix moves the blended rate more than anything else.

Why published benchmarks disagree

Search for "MQL to SQL benchmark" and you'll find answers anywhere from 10% to 50%. That's not noise. It's three real differences worth understanding before you set a target.

Definitions vary

Some companies call any content download an MQL; others require fit and buying behavior. Agency datasets built on strict definitions report MQL to SQL rates of 30 to 50%2, while cross-industry studies land nearer 12 to 21%4,6.

Source mix dominates

A demo request and a whitepaper download are both MQLs, yet one converts several times better than the other1. One well-known case saw web leads convert at 85% and campaign responders at 15%7. Two companies with the same process can report very different rates just because their mix differs.

Speed and scoring matter

Teams with behavioral scoring and fast follow-up report MQL to SQL rates around 39 to 40%, roughly double the cross-industry median5. Benchmarks describe what's typical, not what's possible.

The stages, defined

Agree on these with sales before you set targets. A number is only as useful as the definition behind it.

Stage 1MQL

Marketing qualified lead. A person who fits your ideal customer profile and has shown enough interest that marketing believes sales should talk to them.

Stage 2SQL

Sales qualified lead. Sales has reviewed the MQL, made contact and confirmed there's a real need worth pursuing.

Stage 3SQO

Sales qualified opportunity. A discovery conversation has confirmed fit, budget, timing or a clear project, and the deal is now in the pipeline.

Sources

The benchmarks above are drawn from the following published research. Numbers are rounded, and where a source gave a single figure, the scenario range around it is an estimate.

    Method. For each deal size and lead source, the typical value is the midpoint of the published range, and conservative and strong values are the range's low and high ends, adjusted toward top-quartile results where a source reported them. Benchmarks were reviewed in October 2026. They're a starting point for planning, not a substitute for your own conversion history.

    Frequently asked questions

    What is a good MQL to SQL conversion rate?

    Cross-industry studies put the B2B median around 13 to 15%, within a typical range of 12 to 21%. Rates fall as deal size rises: roughly 18 to 22% under $10K in annual contract value, 12 to 16% at $10K to $50K and 5 to 10% above $100K. Top-quartile teams reach 20 to 30%.

    What is a good SQL to opportunity (SQO) conversion rate?

    SQL to opportunity conversion commonly runs 40 to 60%. Demo requests convert at around 65%, referrals around 70%, outbound-sourced SQLs around 50% and enterprise deals around 40%.

    How many MQLs do I need to hit my SQO target?

    Divide your SQO target by your SQL to SQO rate to get the SQLs you need, then divide that by your MQL to SQL rate. For example, 60 SQOs at a 48% SQL to SQO rate needs 125 SQLs, and at a 14% MQL to SQL rate that takes about 893 MQLs.

    What is the difference between an MQL, an SQL and an SQO?

    An MQL (marketing qualified lead) fits your ideal customer profile and has shown enough interest for marketing to pass it to sales. An SQL (sales qualified lead) has been contacted and confirmed by sales as a real need. An SQO (sales qualified opportunity) has passed discovery and is in the pipeline.

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    “Fix what’s underneath, and the rest gets easier.”Michael Morgan