Marketing Qualified Lead (MQL)
A lead that has met predefined marketing criteria — such as downloading content, visiting pricing pages, or hitting a lead score threshold — indicating they are more likely to become a customer than a raw lead.
MQLs Are the Handoff Point Between Marketing and Sales
The MQL is where marketing says “this person is worth a conversation.” It is the boundary line between generating awareness and generating pipeline. Get the definition right and your sales team spends time on real buyers. Get it wrong and you have reps chasing content tourists who will never buy.
The problem most SaaS companies have is that marketing and sales disagree on what an MQL actually is. Marketing wants credit for volume. Sales wants leads that close. The definition has to be a joint agreement — otherwise you get the classic blame game where marketing says “we sent 500 MQLs” and sales says “none of them were real.”
How to Define an MQL
MQL criteria usually combine two dimensions: fit and engagement.
| Dimension | Signals | Weight |
|---|---|---|
| Fit | Job title, company size, industry, tech stack | High |
| Engagement | Page visits, content downloads, email opens, webinar attendance | Medium |
| Intent | Pricing page visits, demo request pages, competitor comparison pages | Very High |
The best MQL definitions weight intent signals heavily. A VP of Sales at a 200-person SaaS company who visits your pricing page twice is a better MQL than a marketing intern who downloaded your entire content library.
Common MQL Mistakes
First, setting and forgetting. Your MQL definition should be reviewed quarterly. As your product and market evolve, the signals that predict a real buyer change too. Second, over-indexing on content downloads. Downloading a guide does not mean someone wants to buy — it means they wanted the guide. Third, ignoring negative signals. If someone unsubscribes from your emails or works at a company way below your minimum deal size, they should be disqualified regardless of their engagement score.
The companies that get MQLs right treat them as a living, data-driven agreement between marketing and sales — not a static checkbox exercise.
Frequently Asked Questions
What is a good MQL to SQL conversion rate?
13-25% is typical for B2B SaaS. If you are converting less than 10%, your MQL criteria are too loose — you are passing junk to sales. Above 30% usually means marketing is being too conservative and missing potential buyers. The goal is finding the sweet spot where sales trusts the leads and marketing generates enough volume.
Is the MQL dead?
Not dead, but evolving. The criticism is valid — MQLs reward content consumption, not buying intent. Someone who downloads six whitepapers is not necessarily closer to buying than someone who visits your pricing page once. The fix is not to kill MQLs but to add intent signals and product usage data to your scoring model.
