Lead scoring 101 (and the version that actually drives sales prioritisation)
What is lead scoring?
Short answer: lead scoring assigns numeric values to leads based on fit (do they match your ICP?) and intent (are they showing buying signals?). The composite score ranks leads so sales focuses on the highest-quality opportunities first. Done well, it lifts conversion. Done badly, it becomes a decorative field that nobody trusts.
TL;DR — the two-dimension model
| Dimension | Examples of signals |
|---|---|
| Fit | Industry, employee count, revenue, geography, role, seniority |
| Intent | Website visits, content downloads, ad clicks, email opens, demo requests |
A lead is scored on each dimension. The score determines priority and routing.
The basic scoring model
Most teams use a 0–100 or letter-grade (A/B/C/D) model:
| Score | Action |
|---|---|
| A (90–100) | Sales-ready immediately |
| B (70–89) | Sales-ready with nurture |
| C (50–69) | Marketing nurture |
| D (<50) | Long-tail / disqualified |
Sample fit scoring
For a B2B service firm targeting UK + UAE IT services:
| Attribute | Points |
|---|---|
| Industry: IT services | +30 |
| Employee count 50–500 | +20 |
| Geography: UK or UAE | +20 |
| Has hired Head of Sales recently | +15 |
| Uses HubSpot or Pipedrive | +10 |
| Founded year 5–20 years ago | +5 |
Maximum fit score: 100. Buyers above 70 are strong-fit ICP.
Sample intent scoring
| Behaviour | Points |
|---|---|
| Visited pricing page | +20 |
| Downloaded an ROI whitepaper | +15 |
| Booked a demo | +30 |
| Opened 3+ marketing emails in 30 days | +10 |
| Engaged on LinkedIn post | +5 |
| Visited careers page (negative signal!) | -10 |
Intent scores compound over time but should decay if no activity in 30+ days.
Combining fit + intent
Lead routing typically uses both:
| Fit | Intent | Routing |
|---|---|---|
| High | High | AE immediately |
| High | Low | SDR outbound priority |
| Low | High | Re-evaluate ICP; route to AE if borderline |
| Low | Low | Nurture or disqualify |
A "Low fit + High intent" lead is the most interesting case — they want what you sell but they are not who you sell to. This either means your ICP needs widening, or this lead will close badly and churn.
When lead scoring is worth it
| Stage | Lead scoring ROI |
|---|---|
| <100 leads/month | Probably overkill |
| 100–500 leads/month | Worth basic scoring |
| 500–5,000 leads/month | Genuinely useful |
| 5,000+ leads/month | Necessary for prioritisation |
For SMB / mid-market outbound-led teams, lead scoring is often less useful than for inbound-heavy teams.
Common lead scoring mistakes
Mistake 1: Too complex from day one. A 30-attribute scoring model nobody understands becomes shelfware. Start simple.
Mistake 2: No decay logic. Intent should decay if leads go cold. Without decay, ancient leads stay high-scored forever.
Mistake 3: Marketing-set without sales validation. Marketing builds the scoring; sales never uses it because the scores don't reflect deal quality. Build the scoring jointly.
Mistake 4: No periodic re-calibration. Scoring weights that worked 18 months ago don't necessarily work now. Review quarterly.
Mistake 5: Scoring without routing automation. Scores that don't drive different actions are decorative.
Tools
| Tool | Scoring capability |
|---|---|
| HubSpot | Predictive + rules-based |
| Salesforce + Pardot / Marketing Cloud | Rules-based |
| Marketo | Sophisticated rules + predictive |
| 6sense / Demandbase | Account-level scoring |
| MadKudu | Predictive specialist |
For teams under £5M ARR, HubSpot's built-in scoring is usually sufficient.
For UAE & KSA teams
- Regional intent signals are weaker than US/EU — global intent platforms have thinner data on GCC.
- Fit scoring works the same as anywhere — firmographic data on GCC accounts is increasingly reliable via Apollo.
- Multi-currency considerations. Revenue-band fit scoring needs consistent FX handling.
- Trigger signals (recent hires, funding) carry more weight in GCC than passive intent signals.
What MAVEN does about it
Lead scoring design is part of Sales Process Program engagements when the client has sufficient lead volume to justify it. Below 500 leads/month, we typically recommend simpler routing (fit-based, not score-based).
Frequently asked
Is lead scoring worth it for outbound-heavy teams?
Less so. Outbound teams pick their leads; scoring is most useful when leads come to you.
Should I tell prospects their score?
No. Scores are internal.
Predictive vs rules-based scoring?
Rules-based for transparency at small scale. Predictive (AI-driven) for high-volume teams with enough data.
What's the most common scoring mistake?
Setting and forgetting. Scoring degrades; re-tune quarterly.
Should sales reps be able to override scores?
Yes, with documented reason. Score overrides are signal for refinement.
Post 65 of our outbound + sales OS series.
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