Marketing Qualified Lead

Marketing used to hand its list to sales without filtering it. Anyone who typed in an email address to download something landed in the same column. A student grabbing a report for a class assignment sat next to a team lead at a 50-person company who was actually evaluating the product, and nothing on the list told them apart.

Sales worked that list from the top down. Nine calls out of ten ended with "I never asked for anything," and after a few days of that, nobody trusts the list any more. The people who really were evaluating got pushed to the back of the queue and sat there for weeks.

The two teams then started describing the same month in opposite terms. Marketing reported handing over 800 leads. Sales reported three meetings. One side counted what it passed along, the other counted what was worth meeting, and the numbers never met.

A Marketing Qualified Lead (MQL) is a line drawn across that list. Marketing filters before handing anything over, and both teams agree on the filter in advance. The 800 disappears and what remains is "120 that cleared the bar we agreed on."

Someone at the MQL stage was selected entirely from records, with no conversation involved. There's been no call and no meeting — all that exists is what they did on the site and the company details they typed in.

Marketing makes the call alone, working from two kinds of material.

1. Behavioral signals — what the person did. Opened the pricing page three times, read a case study to the end, opened four emails in a row. These show the intensity of the interest.
2. Attribute signals — who the person is. Whether they registered with a work email address, whether the job title suggests a decision maker, how many people work at the company. Interest doesn't help if the person isn't in a position to buy, so this gets weighed separately.

Turning both into points and adding them up is lead scoring: 10 points for a pricing page visit, 20 for a work email domain, 30 for a company over 50 people, and anything above the threshold gets promoted. The records and the arithmetic usually live in a marketing automation tool, which is software that fires emails and adjusts scores automatically whenever a condition is met.

There's no correct threshold; the two teams tune it together. Set it loose and 400 MQLs arrive in a month and sales is back to wasted calls. Set it tight and 15 arrive and the sales team sits idle. Counting how many conversations sales can actually handle in a month, then moving the threshold until roughly that many come through, gets there faster.

The next stage is Sales Qualified Lead, and a lead gets there when a salesperson confirms the person is worth meeting. Up to MQL the judgment came from records; from here a human makes it.

The handoff usually runs like this.

1. Marketing passes the MQL into the customer relationship management (CRM) system, the place where every contact with a customer is logged. The timestamp and the reason for promotion are recorded there.
2. Sales reaches out within an agreed window. Let a day pass and someone who was comparing several products has already forgotten you.
3. A discovery call establishes the situation — what problem they have right now, whether there's budget, when a decision has to land, and whether this person makes it.
4. If sales accepts, the lead becomes an SQL. If not, a rejection reason goes back to marketing.

That return path matters. Rejected leads go into lead nurturing, where someone who isn't ready to buy gets something worth reading every few weeks until their own evaluation window opens. Enterprise budgets run on cycles, so a person with no interest in March often buys in July.

How much sales accepts gets tracked. Pass over 200 MQLs, see 60 become SQLs, and the acceptance rate is 30 percent. Down at 10 percent the threshold is too loose. Above 80 percent it's too tight, and marketing is holding on to people sales would happily talk to.

"We hit 320 MQLs this month but sales only accepted 12 percent of them."

The bar is too low for sales to take the list seriously, so the scoring rules need rewriting.

"That one's still an MQL. It hasn't gone to sales yet, so don't call them directly."

Marketing is still filtering this lead and sales shouldn't touch it first.

"Work email, three visits to pricing — I'm promoting this one to MQL."

The scoring rules have been met, so the lead moves into the pool sales works from.

At Pagedeck, Ravi and Sofia sit down together every Monday. Ravi opens last week's MQL list and Sofia reads back how many she took and how many she returned, with reasons attached. When the returns cluster around "company too small," Ravi raises the weight on headcount. When they cluster around "not evaluating yet," he leaves the threshold alone and reworks the nurturing sequence instead. A week of free-template downloads brings in shallow leads, a week of case studies brings in fewer but better ones, so they read the count alongside the campaign it came from rather than on its own.

Reading the MQL count as marketing's result is the most common mistake, and an understandable one, since it's easy to tally month by month. But the number is a product of a threshold marketing set for itself, so loosening the rules slightly doubles it next month. Make the count a target and the team drifts toward a lower bar; six months on there are 400 MQLs a month and the same number of contracts as before. What's worth watching is the acceptance rate behind the count and the deals that actually close.

Treating an MQL as someone about to buy is the other one. The word "qualified" sounds like a verdict. What the stage confirms is a trace of interest — nobody has asked whether budget exists or whether this is even the right quarter. Call on that assumption and open as though a contract is on the table, and a person who is still just looking around feels cornered enough to stop replying.