What is a lead: types, qualification and scoring

In digital marketing, the word "lead" gets used so often it has lost precision. For some teams, a lead is anyone who leaves their email address. For others, it's someone who has shown clear purchase intent. That difference in definition has a real cost: sales teams wasting time on cold contacts, or marketing celebrating volume without quality.

This guide clarifies what a lead is, what types exist, how to qualify them correctly and how to build a basic lead scoring system.

What is a lead

A lead is a person or company that has shown interest in your product or service and provided some contact information. They're not an anonymous website visitor, nor are they necessarily a qualified prospect. They sit in the middle: someone who has raised their hand.

That interest can take many forms — filling in a contact form, downloading a free resource, registering for a webinar or requesting a demo. What defines a lead isn't the channel, but the exchange: contact details in return for something they perceive as valuable.

Types of leads: MQL, SQL and PQL

The most widely used classification distinguishes three types based on the lead's maturity within the conversion funnel:

Type	Full name	What it indicates
MQL	Marketing Qualified Lead	Has engaged with marketing content and fits the target profile
SQL	Sales Qualified Lead	Has been validated by sales and shows real purchase intent
PQL	Product Qualified Lead	Has experienced the product's value (free trial, freemium)

MQL (Marketing Qualified Lead). This is the lead marketing considers mature enough to pass to sales, based on behaviors such as pages visited, content downloaded or emails opened. They haven't spoken with anyone on the commercial team yet, but their profile and behavior suggest they could be a good candidate.

SQL (Sales Qualified Lead). This is the MQL that sales has reviewed and deemed ready for a commercial conversation. Validation may come from a discovery call, detailed form responses or very specific behavioral signals (such as repeatedly visiting the pricing page).

PQL (Product Qualified Lead). Specific to freemium or free-trial models. The user has already experienced the product and shown behaviors that predict conversion: they've invited teammates, used advanced features or exceeded the limits of the free plan.

How to qualify a lead: the BANT model

One of the most classic frameworks for qualifying leads is BANT, developed by IBM:

• Budget: do they have the financial capacity to buy?
• Authority: are they the decision-maker or do they influence the decision?
• Need: do they have a real problem your solution solves?
• Timeline: when do they expect to make a decision?

BANT is a useful starting point, but in modern B2B contexts it's usually supplemented with digital behavioral signals that enrich qualification without needing to ask directly.

Basic lead scoring: assigning points to prioritize

Lead scoring is a system that assigns a numerical score to each lead based on their characteristics and behaviors. The goal is to let the sales team prioritize who to contact first.

A basic model combines two dimensions:

Demographic/firmographic data (who they are):

• Senior-level role: +15 points
• Company with more than 50 employees: +10 points
• Target industry: +10 points
• Generic email domain (gmail, hotmail): -10 points

Digital behavior (what they've done):

• Visited the pricing page: +20 points
• Downloaded a case study: +15 points
• Opened 3 or more emails: +10 points
• Requested a demo: +30 points
• No activity in the past 30 days: -15 points

With this system you can set thresholds: for example, leads with more than 60 points become SQLs and are assigned to sales. Those between 30 and 60 enter an automated nurturing sequence.

The lead conversion funnel

Understanding which stage of the funnel a lead is in allows you to tailor communication and avoid the most common mistake: selling to someone who doesn't yet have enough information to decide.

A typical lead funnel has these stages:

1. Capture: the anonymous visitor becomes a lead by sharing their data
2. Nurturing: the lead receives relevant content that educates and qualifies them
3. Qualification: the lead reaches the threshold to be considered an SQL
4. Conversion: the SQL becomes a customer after the sales process

The speed at which a lead moves through this funnel depends on factors such as average ticket size, product complexity and the number of people involved in the decision. In B2B with long cycles, nurturing can last months.

To go deeper on building and optimizing this process, read our guide on lead scoring and the article on conversion funnels.

Common mistakes in lead management

Treating all leads the same. Sending the same email to a lead who just downloaded an introductory guide and to one who has visited the pricing page three times is a segmentation mistake that reduces the effectiveness of the entire process.

Not defining the SLA between marketing and sales. Without an agreement on what an MQL is, when it becomes an SQL and how quickly sales should contact it, the system won't work regardless of how much technology you add.

Accumulating unqualified leads. A CRM full of unscored, unsegmented leads isn't an asset — it's noise. The database grows but commercial efficiency doesn't improve.

Leads and CRO: the direct connection

The quality of a lead starts with the experience the user has before sharing their data. A poorly designed form, a confusing value proposition or a registration process with too many steps reduce both the volume and quality of leads entering the system.

Conversion optimization works precisely at that point: improving what happens on the site so that the leads entering the system are more numerous and more qualified. And if you want a first diagnosis of how your site is converting, Scan&Boost does it for free in minutes.

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Adrià Vidal — Boost · Conversion Rate Optimization