Quick answer: An MQL (Marketing Qualified Lead) has shown enough interest to be worth marketing’s attention. An SQL (Sales Qualified Lead) has been vetted for budget, authority, need, and timeline and is ready for a rep to pursue. MQL = interested; SQL = ready to buy. The move from MQL to SQL is the marketing-to-sales handoff.
MQL vs SQL in one line
MQL vs SQL describes two checkpoints on a lead’s path to becoming a customer. A Marketing Qualified Lead (MQL) is interested; a Sales Qualified Lead (SQL) is ready to buy. The clean line between them is what lets marketing and sales hand leads back and forth without friction or finger-pointing.
What is an MQL?
A Marketing Qualified Lead is a lead that marketing has judged — usually through lead scoring — to be interested enough to move toward sales. MQLs earn that label through behaviour: downloading a guide, attending a webinar, filling a contact form, or repeatedly visiting your pricing page.
An MQL is a signal of interest, not a confirmed buyer. The lead has raised a hand, but no one has yet checked whether they have the budget, authority, or timeline to actually purchase.
What is an SQL?
A Sales Qualified Lead is an MQL that a rep has vetted and accepted as a genuine opportunity. (In this context SQL means Sales Qualified Lead, not the database query language.) Sales confirms the lead is a real fit — typically using a framework like BANT — and only then does it become an SQL.
An SQL is a validated opportunity. It has passed both bars: marketing’s interest threshold and sales’ fit-and-intent check. This is the lead that belongs in your active pipeline.
MQL vs SQL compared
| Aspect | MQL | SQL |
|---|---|---|
| Full form | Marketing Qualified Lead | Sales Qualified Lead |
| Owned by | Marketing | Sales |
| Qualified by | Lead scoring / engagement | Rep discovery / BANT |
| Signals | Interest | Intent + fit |
| Next step | Nurture / hand to sales | Enter active pipeline |
The handoff between MQL and SQL
The move from MQL to SQL is the single most important — and most argued-about — moment in the funnel. Marketing says it passed a great lead; sales says the lead was cold. The fix is a written definition both teams agree on: exactly which score, fields, and answers turn an MQL into an SQL.
A healthy process looks like this: marketing scores and nurtures leads until they cross the MQL threshold, then hands them to sales. Sales runs a quick qualification. If the lead is a real fit, it is accepted as an SQL and worked. If not, it is returned to marketing for more nurturing — not silently dropped. Tracking the MQL-to-SQL conversion rate tells you whether the handoff is working.
The most common leak is a vague MQL definition. If marketing counts any form fill as an MQL, sales drowns in junk and stops trusting the handoff. Agree on a clear, measurable bar and revisit it quarterly.
How to track MQLs and SQLs in a CRM
You need one system where marketing and sales see the same lead. TatvaCRM — a BFSI-ready CRM built in India — stores every lead with its stage and qualification fields, so an MQL that becomes an SQL is one status change, not a lost email thread. You can report MQL-to-SQL conversion and spot exactly where leads stall between the two teams.
Wire it together end to end: use lead scoring to create MQLs, lead qualification to promote them to SQLs, and lead nurturing to warm up the ones that are not ready yet. See features or pricing to begin.
Frequently asked questions
› What is the difference between an MQL and an SQL?
An MQL (Marketing Qualified Lead) has engaged enough — downloads, email opens, form fills — to signal interest, but has not been vetted for buying readiness. An SQL (Sales Qualified Lead) has been checked by sales against criteria like budget, authority, need, and timeline and is ready for direct sales follow-up. An MQL is a promising lead; an SQL is a validated opportunity.
› When does an MQL become an SQL?
An MQL becomes an SQL when a rep (or an automated rule) confirms it is genuinely sales-ready — typically after a discovery call or qualification using BANT. The lead crosses over when it has demonstrated intent and fit: a real need, a budget, and a decision timeline. Until then it stays an MQL in nurturing.
› What does MQL stand for?
MQL stands for Marketing Qualified Lead. It is a lead that marketing has judged, usually via lead scoring, to be interested enough to hand toward sales. MQLs come from actions like downloading a guide, attending a webinar, or repeatedly visiting your pricing page.
› What does SQL mean in sales?
In a sales context, SQL stands for Sales Qualified Lead — not the database language. An SQL is a lead that a sales rep has qualified and accepted as a real opportunity worth pursuing. It has passed both marketing's interest bar and sales' fit-and-intent check.
› Why do MQLs and SQLs matter for a small business?
Even a small team benefits from a clear line between 'interested' and 'ready to buy'. It stops reps from wasting time on leads that only downloaded a free guide, and stops marketing from handing over cold contacts. Tracking MQL-to-SQL conversion in a CRM like TatvaCRM shows exactly where leads stall in the handoff.
› What is a good MQL to SQL conversion rate?
It varies widely by industry, but many B2B teams see roughly 13% to 30% of MQLs become SQLs. A very low rate suggests marketing is passing weak leads or the MQL bar is too loose; a very high rate may mean you are being too strict and missing volume. Track your own baseline in your CRM and improve from there rather than chasing a generic benchmark.
Give marketing and sales one shared view of every lead. Start free with TatvaCRM — no credit card required. Read next: Lead nurturing and Lead scoring explained.