VISUOSOFTS · DIGITAL MARKETING
Not every lead deserves a sales call — and calling the wrong ones wastes everyone's time. The Marketing Qualified Lead (MQL) is the discipline of defining which leads are ready for sales attention. This practical guide shows SMBs how to define, identify and work MQLs.
Written for UK SMBs: the no-jargon MQL playbook.
WHAT AN MQL IS — THE DEFINITION
An MQL is a lead that marketing has judged ready for sales engagement — the fit (the right company, the right person) plus the intent (the behaviour signalling interest) meeting your defined threshold. It is the handoff point in the funnel: the marketing-owned lead becoming the sales-worked opportunity.
The definition's power is the agreement: the MQL is whatever marketing and sales agree it is — the documented, the shared, the honoured. The MQL defined unilaterally is the disputed; the MQL defined jointly is the trusted. The acronym matters less than the alignment it represents: the shared understanding of "ready". For the privacy framework around lead data, see privacy and permissions in CRM.
WHY IT MATTERS — THE FUNNEL'S DISCIPLINE
It matters because: the sales efficiency (the right leads worked — the time respected), the marketing accountability (the quality, not just the quantity — the measured), and the alignment (the shared definition — the end of the "these leads are rubbish" war).
The MQL discipline transforms the funnel: the marketing measured on the qualified (the behaviour change), the sales trusting the handoff (the worked, not the ignored), the pipeline fed with the ready (the converted). The businesses without the MQL definition drown sales in the unqualified and starve marketing of the feedback — the funnel's most common dysfunction, solved by the definition.
DEFINE YOURS — THE CRITERIA
Define on: the fit (the company size, the industry, the geography — the can-they-buy), the person (the role, the seniority — the should-we-talk-to-them), and the intent (the behaviours — the pricing page, the demo request, the content depth — the do-they-want-to).
The definition methods: the explicit (the form fields — the stated), the implicit (the behaviour — the revealed), and the scored (the combined — the weighted). The SMB-practical: start simple (the 3–5 criteria — the obvious), document it (the one page — the shared), and agree it (the sales sign-off — the honoured). The definition evolves — the v1 is the hypothesis, the data refines it.
IDENTIFY THEM — THE DETECTION
Identify through: the lead scoring (the points — the threshold-crossed), the trigger behaviours (the hand-raisers — the demo, the pricing, the contact — the fast-tracked), and the human review (the judgement — the nuanced, for the edge cases).
The identification disciplines: the scoring model (the fit + intent — the weighted, the transparent), the threshold (the agreed — the calibrated from the conversion data), and the routing (the automatic — the instant, the assigned). The MQL identified late is the opportunity cooled — the speed of the detection matters as much as its accuracy. The 15-minute handoff rule: the MQL routed to sales within minutes, not days.
THE HANDOFF — MARKETING TO SALES
Hand off: the context (the full — the behaviours, the source, the interests — the briefed), the speed (the minutes — the hot), and the feedback (the loop — the accepted/rejected with reasons — the learning).
The handoff's make-or-break: the SLA (the service-level agreement — the marketing commits the MQL quality and volume; the sales commits the follow-up speed and the feedback), the rejected-lead process (the returned with reasons — the recycled to nurture, not discarded), and the joint reviews (the monthly — the definition refined). Our digital marketing engagements include the MQL definition and SLA design — the alignment, engineered.
The SLA's contents, spelled out: the MQL volume commitment (the realistic — the resourced), the quality standard (the criteria — the measurable), the follow-up time (the 15-minute — the enforced), the feedback deadline (the 48-hour — the learned), and the consequences (the review-triggered — the accountable). The unsigned SLA is the wish; the signed, reviewed SLA is the contract. The best SLAs are short — the one page both teams helped write beats the ten-page legal document nobody reads. The handoff's success is the SLA's success: the agreed, the honoured, the reviewed.
IMPROVE THE DEFINITION — THE LEARNING LOOP
Improve: the conversion analysis (the MQLs that became customers — the patterns; the ones that did not — the lessons), the threshold tuning (the data-calibrated — the optimised), and the criteria evolution (the new signals — the added; the dead ones — the removed).
The learning loop: the monthly review (the metrics — the honest), the quarterly redefinition (the evolved — the better), and the annual strategy (the funnel — the aligned). Talk to us about the MQL discipline — defined, detected, handed off, and improved — that focuses your funnel.
The maturity journey: the v1 definition (the simple, the agreed — the started), the data-informed v2 (the calibrated — the improved), the predictive v3 (the modelled — the sophisticated). Most SMBs never need v3 — the v2, honestly maintained, focuses the funnel beautifully. The journey's lesson: the definition is never finished, but it is always useful — the imperfect MQL, jointly owned and continuously improved, outperforms the endless quest for the perfect one. Start the definition this month; refine it forever. The agreed MQL is the aligned funnel — the definition that focuses everything. Define it jointly, honour it daily, improve it quarterly. The MQL discipline, maintained, is the funnel's permanent upgrade. Define it, honour it, refine it — the MQL flywheel that focuses everything.
MARKETING QUALIFIED LEADS — FAQs
MQL vs SQL — what's the difference?
The MQL is marketing's judgement of readiness (the handed off); the SQL is sales' acceptance (the worked). The MQL becomes the SQL when sales agrees it is worth pursuing — the two-stage qualification filtering twice.
How many MQL criteria should we have?
Three to five to start — the obvious fit and intent signals. More criteria add precision but complexity; the v1 should be the simple, the agreed, the used. Refine from the conversion data.
What if sales rejects our MQLs?
The feedback loop is working — the rejection reasons are the definition's improvement data. The systematic rejection signals the definition misalignment; the joint review fixes it. Never ignore the rejection pattern.
Can we do MQLs without marketing automation?
Yes — the spreadsheet-scored, the human-routed works at SMB scale. The automation helps with volume; the discipline is the definition and the handoff, which are human. Start manual, automate the proven.
How do we set the scoring threshold?
From the conversion data: the score levels that historically converted define the threshold. Start with the reasoned guess, calibrate monthly from the outcomes. The threshold is the hypothesis; the data is the verdict.