MQL to SQL Handoff: How to Define It So Sales Accepts It

TL;DR. A marketing-qualified lead (MQL) is a lead marketing judges ready to pass to sales. A sales-qualified lead (SQL) is one sales has reviewed and accepted as a real opportunity to pursue. The handoff fails when the two teams use different definitions. Write one set of criteria together, agree what sales does with every lead it receives, and review rejected leads on a schedule.

What is the difference between an MQL and an SQL?

An MQL is a lead that meets marketing's agreed bar for sales attention. An SQL is a lead that sales has checked and accepted.

• MQL: the lead fits your target profile and has shown enough interest to justify a conversation. Marketing decides this, using criteria both teams signed off.
• SQL: a salesperson has spoken to or reviewed the lead and confirms there is a genuine need, a plausible budget and a reachable decision-maker.

The words matter less than the fact that each stage is a decision with written criteria. Where the labels are not defined, "qualified" ends up meaning whatever the person using it needs it to mean.

Why does the handoff break?

The usual causes are structural, not personal.

• Different definitions. Marketing counts a content download as qualified. Sales counts a booked meeting. Each side hits its own target while pipeline stalls.
• Volume targets. If marketing is measured on MQL count alone, the cheapest way to hit the target is to lower the bar.
• No feedback. Sales rejects leads without saying why, so marketing cannot improve what it sends.
• Slow follow-up. A lead that waits days for contact is a worse lead by the time sales calls.

How do you write MQL criteria both teams accept?

1. Start from your ideal customer. Define fit first: company type, size, role and use case. How to Build an ICP covers how to do this from your own customer data.
2. Add behaviour. Separate fit from interest. A good-fit company that has never engaged is not yet an MQL. An enthusiastic reader from a poor-fit company is not one either.
3. Look at closed deals. Review the leads that became customers and the leads that stalled. Write criteria that would have separated them. Use your own data, not a template's thresholds.
4. Keep it short. A handful of criteria that people can remember beats a long scoring model nobody trusts.
5. Write it down and date it. Both teams sign the definition, and changes go through both.

What should the handoff agreement say?

A handoff agreement is a short document that binds both sides. It should cover:

• Marketing's commitment: the criteria a lead must meet, and the information passed with it, such as source, pages viewed and any form answers.
• Sales' commitment: how quickly a lead is contacted, how many attempts are made, and what happens to leads it cannot reach.
• Acceptance and rejection: every lead is either accepted or rejected, never left untouched. Rejection requires a reason from a fixed list, such as poor fit, no budget, wrong timing or duplicate.
• Recycling: rejected leads that may be right later go back to marketing for nurture, with the reason attached.

The specific response times are for your teams to agree based on capacity. What matters is that a time exists and is tracked.

How do you measure the handoff?

Measure the stages, and measure what happens between them.

Measure	What it shows
MQL to SQL conversion, by source	Which channels send leads sales values
Time from MQL to first contact	Whether follow-up is working
Rejection reasons, by count	What marketing needs to change
SQL to opportunity and to closed-won	Whether acceptance means anything downstream
Recycled lead outcomes	Whether nurture is worth the effort

Judge channels on later stages, not on MQL volume. A source that sends fewer MQLs but more closed deals is the better source. The data plumbing needed to trust these numbers is described in the Analytics and Measurement chapter.

How do you avoid gaming the numbers?

• Do not pay on MQL count alone. Pair it with an acceptance measure, or both sides can be rewarded for a worse outcome.
• Audit a sample of accepted and rejected leads each month. Have one person from each team read them together.
• Watch for criteria drift. If the bar quietly moves, conversion rates stop being comparable over time.
• Change one thing at a time. If you alter scoring and follow-up speed together, you will not know which helped.

How does this fit account-based marketing?

In an account-based model the unit is the account, not the individual lead. The same principle holds: agree what makes an account ready for sales, and what sales does with it. See An ABM Playbook for B2B for how to define target accounts and plays.

Related reading

• How to Build an ICP — the fit criteria behind a good MQL.
• An ABM Playbook for B2B — handoff at the account level.
• Analytics and Measurement in B2B Marketing — trusting the funnel data.
• The B2B Buying Process — what buyers do before sales hears about them.
• All Marketing Funnel & Attribution articles — the growing cluster.