In partnership with
The Intent-Fit Matrix
In this week's brief, we are dissecting the MQL (Marketing Qualified Lead). We are moving past the vanity of "high scores" and into the psychology of readiness. I will show you how to build a scoring model that actually predicts revenue by weighing email engagement, website behaviour, and firmographic fit without making your sales team want to block your number.
Here’s the idea: The Intent-Fit Matrix
Most marketers score leads like they are collecting arcade tickets: every click is a point. But a click on a "Careers" page is very different from a click on a "Pricing" page. We need to bifurcate our scoring into Fit (who they are) and Intent (what they do). A CEO from a 500-person company who only opens one email is a "High Fit/Low Intent" lead. They need a different nurture track than a student (Low Fit) who clicks every single link (High Intent).
Teardown
What Works:
A B2B SaaS company assigned +50 points for a demo request but - crucially - added a "Negative 100" for any lead with a "student" or "intern" job title.
What Fails:
A retail brand gave everyone who opened three emails an "MQL" status. The sales reps were flooded with "window shoppers" who liked the pretty pictures but had zero intent to buy.
Why:
Engagement is a vanity metric unless it is tethered to a "propensity to pay" signal. High volume does not equal high velocity.
Framework
Things to Consider:
Is your data clean?
Scoring a lead with a junk email address is like trying to bake a cake with sand.
Decision Path:
Firmographic (Fit): Job title, company size, industry (+20 points).
Behavioural (Interest): Email opens, blog reads (+2 points).
Intent (Buying): Pricing page visits, ROI calculator usage, webinar attendance (+30 points).
Trade-Offs:
If you set the MQL threshold too high, sales starve. If it is too low, they stop trusting your leads. Aim for the top 20% of your current converters.
Outcome Focus
Human: Your sales reps stop feeling like telemarketers and start feeling like consultants for people who actually want to talk to them.
Business: Higher MQL-to-SQL (Sales Qualified Lead) conversion rates and a shorter sales cycle. Companies using lead scoring see a 77% increase in ROI compared to those that don't.
Measurement Prompts
What is the average score of a lead that actually closed last month? Which "high-scoring" actions never result in a sale?
Metrics:
MQL-to-SQL Conversion Rate, Average Lead Score of Closed-Won Deals, and Time-to-MQL.
Ethics Check
Are you transparent about why you are collecting data? Avoid "shadow scoring" based on sensitive personal attributes that have nothing to do with your product. If a lead opts out of tracking, their score should reflect that loss of signal - do not try to "guess" their intent through the back door.
Reflect and Apply
Look at your last 10 closed deals. What was the first thing they did on your site?
Ask your sales team for the one job title they never want to see in their inbox again.
Do you have a "decay" rule? If a lead was "hot" six months ago but silent since, their score should be zero today.
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Tip of the Week
Use "Negative Scoring." If someone visits your "Careers" page more than twice, they aren't a buyer; they are a job seeker. Deduct 50 points immediately to keep your Sales team’s calendar clear of hopeful interns.
Practical Focus
The Lead Who Cried Wolf
Once upon a time, a junior marketer named Dave decided that "engagement is everything." He set up a system where every email click was worth 20 points. By Tuesday, a lead named Susan had a score of 400. Dave sent Susan to sales with a celebratory Slack message.
The Account Executive, Sarah, called Susan immediately. It turns out Susan wasn't a buyer. She was a super-fan of the brand’s "Weekly Cat Gif" section and had clicked it 20 times to show her coworkers. Sarah spent forty minutes talking about tabbies instead of closing a software deal. Dave learned the hard way: not all clicks are created equal.
Additional Resources From the Real World
📨 Google's AI Mode is now letting people buy things without leaving the chat. Great, now my impulsive 2:00 AM purchases have even less friction.
💥 OpenAI has officially entered the programmatic ad game. Because what the internet really needed was a chatbot trying to sell me socks while I'm asking for the meaning of life.
📱Google Search is showing ads in 22% of local 3-pack results. Organic reach is basically a myth at this point, like "affordable housing" or "a quiet flight."
✉️ Consumer trust in brand emails has plummeted to 47%. People trust a suspicious gas station egg salad more than your "Special Offer" subject line.
⭐️ B2B buying cycles are now averaging 11.3 months. That is longer than it takes to grow a human being. Patience is a virtue, but my quarterly targets don't think so.
💻 Google Discover now penalizes clickbait headlines. "You won't believe what happened next" is officially dead. Finally.
📱70% of emails are now opened on mobile. If your email doesn't look good on a phone, you are basically sending a fax to a teenager.
👋🏼 AI-driven segmentation is now a baseline expectation. If you are still sending "Batch and Blast" emails, your subscribers are probably just using your messages to test their "Delete" button.🤖
🤖The EU AI Act is tightening the screws on data usage. Play by the rules, or prepare to pay enough fines to fund a small country's space program.
🚀 DMARC and BIMI are no longer optional for deliverability. If you don't have your technical house in order, your emails are just shouting into a void.
A Final Note
The Quality Over Quantity Pivot
Stop counting, start weighing. Successful email marketing isn't about how many people you can get to open a message; it’s about how many of the right people you can move to the next stage.
A list of 500 highly qualified, correctly scored leads is worth ten times more than a list of 50,000 "cat gif" enthusiasts. Align your scoring with sales today, or prepare to be the "Dave" of your office.
Core focus: Lead scoring is the strategic filter that ensures your sales team only spends time on the prospects who are actually ready to buy.
Until next Tuesday,
Practical marketing psychology for email and lifecycle.
Ships every Tuesday.