B2B Lead Scoring Redefined with Intent Data
 
                    For over a decade, B2B lead scoring has followed this formula: points assigned based on demographic fit (industry, job role, company size) and engagement signals (opened email, downloaded ebook, attended webinar). But in 2025, buyers don't follow linear journeys, cookie-based tracking is disappearing, and engagement doesn't always equal interest. Meanwhile, real buying intent is happening across dozens of platforms beyond your website.
This means traditional lead scoring today is incomplete, misleading, and often expensive in lost opportunities.
The new standard is Intent-Driven Lead Scoring, a model that scores leads and accounts based on actual in-market behavior: research patterns, product category interest, competitor comparisons, stakeholder signal clustering, and active purchase readiness.
Lead scoring's not just about “Who looks like a good fit?” anymore.
It's now: Who is actually preparing to buy?
Why Traditional Lead Scoring Is Failing
1. Lead Scoring Focuses on Individuals — But Buying Is Collective
Today's B2B deals are driven by buying committees:
- 
Users 
- 
Decision-makers 
- 
Technical validators 
- 
Budget owners 
- 
Procurement teams 
Traditional lead scoring tracks only one person, meaning it often measures only a fraction of the actual buying motion.
2. On-Site Engagement ≠ Real Intent
Just because a prospect downloaded an e-book or opened an email doesn't mean they are ready to buy.
But a company:
- 
Researching your category 
- 
Competitive comparison site visits 
- 
Reading reviews of products 
- 
Pricing insights search 
This is real intent.
3. Fit Models Don’t Detect Timing
You might know who should be a good customer — but without intent signals, you don't know when to reach out.
Timing is the difference between ignored and accepted outreach.
Enter Intent Data: The Missing Dimension
Intent data captures signals that a company is actively exploring a product, problem category, or solution.
Key Types of Intent Signals
| Type | What It Indicates | Examples | 
|---|---|---|
| Topic-Level Intent | Early research activity | Articles, blogs, educational guides | 
| Solution-Level Intent | Mid-funnel product comparison | “Top Onboarding Platforms”, “Best ERP Tools” | 
| Competitive Intent | Switching or evaluation | G2 competitor page visits, review comparisons | 
| High-Intent Actions | Active buying motion | Pricing page visits, demo request signals | 
Traditional lead scoring only sees engagement.
Intent scoring = intent + timing + depth of need.
The New Lead Scoring Model: Fit + Intent + Engagement
You now need a three-dimensional scoring system:
| Dimension | Meaning | Questions Answered | 
|---|---|---|
| Fit Score | Are they the right type of account? | Should we pursue them? | 
| Intent Score | Are they actively researching and interested? | Should we prioritize them now? | 
| Engagement Score | Are they responding to our messaging? | What do they care about? | 
The GTM Priority Formula
Lead Score = Fit Score + Intent Score + Engagement Score
- 
Fit tells who 
- 
Intent tells when 
- 
Engagement tells how 
This creates revenue-qualified signals, not just MQLs.
How to Operationalize Intent-Based Lead Scoring
Step 1 — Define Fit Criteria
Use your Ideal Customer Profile:
- 
Company size 
- 
Industry 
- 
Tech stack 
- 
Geography 
- 
Role seniority 
- 
Budget alignment 
Step 2 — Integrate Intent Signals
Pull intent signals from:
- 
G2 Buyer Intent 
- 
Bombora Surge Intent 
- 
6sense Predictive Scoring 
- 
Website/product first-party intent 
Weighted scoring example:
- 
Category research → +10 
- 
Competitor comparison → +30 
- 
Pricing page → +50 
Step 3 — Map Engagement Signals (Supporting, Not Primary)
Weighted examples:
- 
Responded to email → +3 
- 
Attended webinar → +15 
- 
Revisited site in 24 hours → +20 
Step 4 — Score at the Account Level
Account Intent Score = Sum of all stakeholder signals + recency weighting
If three people from one company show intent → accelerated buying motion.
Step 5 — Trigger Sales Plays Automatically
Once an account crosses threshold:
- 
SDR alerted with context 
- 
Personalized outreach sequence launched 
- 
Account-level ads activated 
Example Scoring Breakdown
| Signal Type | Example Action | Score | 
|---|---|---|
| Fit | VP of HR at 500-person SaaS company | +40 | 
| Intent | Searched “Employee Onboarding Software” on G2 | +55 | 
| Engagement | Attended product webinar | +20 | 
Total Score = 115
If your SAL threshold is 100 → send to Sales immediately.
What Changes When You Adopt Intent-Based Scoring
- 
SDR Efficiency Doubles 
- 
Pipeline Conversion Rates Increase 
- 
Sales Cycles Shrink 
- 
Marketing + Sales Alignment Improves 
Mini Success Story
A B2B SaaS HR Platform (Mid-Market, U.S.)
Before:
- 
Scoring based on webinars & email clicks 
- 
SDRs calling “engaged but not interested” leads 
- 
Meetings stuck at 6–8/month 
After Intent Scoring:
- 
Tier 1 accounts flagged based on real research 
- 
SDR playbooks auto-triggered 
- 
Messaging aligned to active pain signals 
Results in 90 Days:
- 
Meetings jumped 8 → 34/month 
- 
Reply rate increased 4.2X 
- 
Sales cycle reduced 27% 
- 
Outbound pipeline grew 3.6X 
The difference: timing + relevance powered by intent.
Common Mistakes to Avoid
| Mistake | Fix | 
|---|---|
| Scoring only leads | Score at the account level | 
| Treating all intent equally | Weight by recency & depth | 
| Sending intent alerts without plays | Pair scoring with outreach templates | 
| Waiting for demo requests | Launch outreach when intent peaks | 
Final Takeaway
Traditional lead scoring tells you who could be a good customer.
Intent-driven lead scoring tells you who is ready to buy now.
This upgrade:
- 
Cuts wasted outbound time 
- 
Improves SDR conversion 
- 
Increases pipeline velocity 
- 
Aligns marketing + sales 
- 
Drives faster revenue outcomes 
By 2025, the competitive advantage isn't more leads.
It's earlier awareness of real buying intent.
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