What is MQL & SQL?
A Marketing-Qualified Lead (MQL) is a contact whose behaviour and attributes signal enough interest for marketing to rate it valuable - a whitepaper download, repeat visits, fit to the ICP. But it isn't sales-ready yet.
A Sales-Qualified Lead (SQL) is an MQL the sales team has vetted and confirmed as a real opportunity: concrete need, budget, timeline, decision authority. The MQL → SQL transition is the most important handoff in the funnel - and the most common break point between teams.
The value of the split lies in the shared definition: if marketing and sales don't agree what turns an MQL into an SQL, marketing hands off too early (sales complains about bad leads) or too late (hot leads cool down). A written threshold ends the recurring conflict.
Why does MQL & SQL matter?
The MQL-SQL boundary decides whether sales time burns on ripe or unripe leads. Without a shared definition, marketing and sales argue about quality instead of building pipeline.
MQL & SQL in practice
- 01MQL: downloads a whitepaper and visits the pricing page. SQL: confirms budget and timeline in a discovery call.
- 02A service-level agreement sets: marketing delivers 50 MQLs/month, sales works each within 24 hours.
- 03Lead scoring automates MQL status; the jump to SQL stays a human sales judgment.
From the journal
- Lead qualification with AI: no more dead enquiriesMost enquiries do not die on the product, they die in the queue: on average it takes 42 hours before a company responds to a new lead. AI-powered qualification replies within minutes, sorts by real potential and hands your sales team only the conversations worth having - if you set it up properly.
- Marketing automation: the first 90 days without chaosAutomation does not fix a broken process - it just runs it faster and in series. Switch on workflows before your data and handovers are clean, and you produce chaos at scale. This roadmap shows what belongs in the first 30, 60 and 90 days so automation creates impact instead of busywork.
