Marketing Qualified Lead (MQL): Definition, Examples and How It Works

A marketing qualified lead (MQL) is a lead who fits the kind of customer you serve and has engaged with your marketing enough to be worth a sales conversation, but hasn’t asked to buy. So what is marketing qualified lead status for? It decides who gets a personal follow-up and who stays on the newsletter.

Key takeaways

• An MQL needs two things: fit (they are the kind of business or person you sell to) and interest (they have engaged more than once).
• The criteria are yours to set. Write them down so everyone in the business uses the same rule.
• A simple points rubric with a threshold is enough for a small team; you don’t need marketing automation software to start.

Why MQLs matter for a small business

Most enquiries a small IT services firm gets are not ready to buy: a checklist download, a student project, a vague question about backups. Call all of them and the week disappears; call none and the good ones go elsewhere.

An MQL rule picks out the leads that look like your best customers and have shown real interest, so your selling time goes to them first. Everyone else gets lead nurturing until they show more interest.

How a marketing qualified lead works

The term comes from teams where marketing hands leads to sales. HubSpot’s lifecycle stages list it between “lead” and “sales qualified lead”, and define an MQL as a contact that marketing “has qualified as ready for the sales team” (checked on 1 October 2026). Salesforce’s explainer on MQL vs SQL describes MQLs as leads that are a good fit but “just aren’t ready to buy yet” (checked on 1 October 2026).

Stage	Meaning	Example for an IT support firm
Lead	Left contact details	Downloads your “10-point office IT security checklist”
Marketing qualified lead	Fits your customer profile and has engaged	A 25-person accounting firm in your city that downloaded the checklist and opened three follow-up emails
Sales qualified lead	Checked on a call: need, budget, timing	Confirms their server is out of warranty and they want a quote this quarter
Customer	Has paid	Signs a monthly support contract

Our MQL vs SQL page compares the middle two stages.

Fit signals and interest signals

• Fit: business size, sector, location within your service area, the person’s role, the tools they use.
• Interest: downloading a lead magnet, opening or replying to emails, attending a webinar, asking a question in chat, returning to your pricing page.

Strong fit with no interest means nurture. Strong interest with poor fit (a student, a competitor, a business outside your area) is not an MQL, however many emails they open.

What is marketing qualified lead scoring? An example with numbers

A points rubric with a threshold is the simplest test. This one is an illustration for a managed IT provider; set your own points.

Signal	Points
Business with 10 to 100 staff	20
Located in your service area	15
Contact is an owner, director or office manager	15
Downloaded a guide or checklist	10
Opened 3 or more of your emails	10
Attended a webinar or event	15
Asked a question by chat, email or WhatsApp	15
MQL threshold	50

A three-person IT support firm in Accra runs a free security checklist for a quarter. The figures are illustrative.

• 300 people download the checklist.
• 75 of them reach 50 points, so 75 ÷ 300 = 25% become MQLs.
• The owner calls all 75. 30 confirm a real need and timing, so 30 ÷ 75 = 40% become sales qualified leads.
• 9 of the 30 sign a monthly support contract at GH₵ 4,000, so 9 ÷ 30 = 30% of SQLs become customers.

That is 9 × GH₵ 4,000 = GH₵ 36,000 a month in new contracts from 75 calls instead of 300.

How to set MQL criteria in five steps

1. Look at your last ten good customers. Write down what they had in common: size, sector, location, role of the buyer.
2. List the actions that came before they bought. A download, a webinar, a WhatsApp question, a second visit.
3. Give each a few points and pick a threshold.
4. Agree what happens at the threshold. For example: a personal reply within one working day.
5. Review every quarter. Compare MQLs that bought with those that didn’t, and adjust.

For the qualifying call that follows, BANT (budget, authority, need, timing) keeps it short.

Related terms

• Warm lead: a lead who knows you and has shown interest. Most MQLs are warm leads with good fit.
• Lead magnet: the free resource that turns visitors into leads you can score.
• Lead nurturing: what you do with leads who haven’t reached the threshold yet.

For more, read our guide to lead generation for small business and the post on lead scoring for small business.

How startbuddi handles marketing qualified leads

startbuddi has no separate “MQL” stage or custom points builder. Here is what it does:

• Leads arrive as contacts from forms, bookings, website chat and CSV imports, with their source.
• A fixed lead score from 0 to 100, based on activity, spend, recency and open deals. It isn’t your own rubric, but it’s a quick first sort.
• Your own rule with filters. Filter Contacts by tag, source, lead status (New, Qualified, Disqualified), last contacted date and “Lead score is at least”, then save the view as a segment, for example “MQL: 25+ staff, downloaded checklist, not contacted”.
• A next step for each MQL. On paid plans from Starter, Automations can create a follow-up task when a lead is added, and Nurture with Chip (in beta) drafts a short email sequence from a contact’s history for you to edit before anyone is enrolled.

See also our CRM for IT teams. A free plan is available; see pricing.