B2B Lead Qualification Score
Score B2B leads against your Ideal Customer Profile (ICP) using BANT and firmographic criteria. Determine if a lead is an MQL, SQL, or needs nurturing.
Formula
Score = Firmographics(30%) + BANT(70%)
We combine 'Fit' (Firmographics: Is this the right company?) and 'Intent' (BANT: Are they ready to buy?). Fit is static; Intent is dynamic. A high score requires both.
Worked Examples
Example 1: Perfect SQL
Problem:Enterprise, Perfect Industry (10/10), Has Budget, Immediate Timeline, Decision Maker.
Solution:Firmo: 30. BANT: 20+20+30 = 70. Total: 100.
Result:Score: 100 (Hot)
Example 2: Tire Kicker
Problem:SMB, Bad Industry (2/10), No Budget, Unknown Timeline, Gatekeeper.
Solution:Firmo: 8. BANT: 0. Total: 8.
Result:Score: 8 (Cold)
Frequently Asked Questions
What is ICP?
Ideal Customer Profile. A description of the company type (size, industry, tech stack) that gets the most value from your product and has the highest LTV.
What is BANT?
Budget, Authority, Need, Timeline. A classic sales qualification framework developed by IBM.
MQL vs SQL?
MQL (Marketing Qualified Lead) fits the profile but hasn't spoken to sales. SQL (Sales Qualified Lead) has been vetted by a rep and has a real opportunity.
Why weight Authority so high?
In B2B, you can have budget and need, but if you aren't talking to the person who signs the check, the deal will stall. Access to power is critical.
Should I discard low scores?
No. Put them in a 'Nurture' campaign. They might not be ready now (Timeline), but could be in 6 months.
How do I determine Firmographic fit?
Look at your best existing customers. What industry are they in? How big are they? Those traits define your '10/10' fit.
Is BANT outdated?
Some say yes (preferring MEDDIC or GPCT), but BANT remains a solid, simple baseline for initial qualification.
Background & Theory
The Qualification Matrix
Qualification is about resource allocation. Sales reps are expensive; you don't want them talking to unqualified leads.
Fit vs. Intent
- Fit (Explicit): Who they are. (Industry, Size, Revenue). This doesn't change often.
- Intent (Implicit): What they do. (Visited pricing page, downloaded whitepaper). This changes fast.
Scoring Best Practices
- Negative Scoring: Deduct points for bad signals (e.g., uses a @gmail.com address, visits 'Careers' page).
- Decay: Reduce score by 10% every week of inactivity.
- Thresholds: Set a clear line (e.g., Score > 50) where Marketing hands off to Sales.
History
The IBM BANT Era
In the 1960s, IBM formalized BANT to identify opportunities. It was efficient but rigid. Sales reps would interrogate prospects: "Do you have budget?" before establishing value.
The Rise of Inbound
In the 2000s, HubSpot and Marketo popularized Inbound Marketing. Leads flooded in, but quality varied. The concept of the **MQL** was born to filter the noise. Lead Scoring became a way to separate the curious from the serious.
Account-Based Marketing (ABM)
In the 2010s, B2B shifted to ABM. Instead of waiting for leads, we targeted specific accounts that matched our **ICP**. Scoring shifted from "Did they click an email?" (Behavior) to "Are they the right company?" (Fit). Modern scoring blends both.
Common Misconceptions
- Myth: High score = Guaranteed sale. Reality: It just means they are worth your time. You still have to sell.
- Myth: Score is static. Reality: Scores decay. A lead who was hot last month is cold today if they went silent.