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Lead Scoring Sandbox

Almost every team has a scoring model nobody trusts. This sandbox shows you exactly what your model produces before you deploy it.

Scoring Strategy Presets:
Configured Model Scale
154 / 180raw pts
Normalized: 0 - 100 ScaleActive
MQL Qualification Cutoff
≥ 68scaled pts
Pass Rate Target:40% Pass
Model Diagnostic Verdict
🎯 Strict Executive Gate
SDR Capacity Impact:Low Volume, High ACV
Population Score Distribution (250 Leads)
✓ 100 Passed MQL (40%)Cutoff: 68 pts
30141016204030234032502860407027802790MQL: ≥68
68

🏢Firmographic Fit Weights

Maximum 100 points (86/100 currently assigned)

86 pts
🏢
Company SizeEmployee band & scalability fit
18 / 20
🏭
Industry MatchCore SaaS, FinTech, or Target Vertical
16 / 20
👤
Job Title & SeniorityC-Level, VP, or Director decision-maker
20 / 20
⚙️
Tech Stack CompatibilityUses Salesforce, HubSpot, or Snowflake
14 / 20
💰
Revenue RangeARR > $10M or verified budget bracket
18 / 20
56%Fit
Firmographic Fit:56%
Behaviour Intent:44%

✓ Balanced B2B model (Optimal for Mid-Market & Enterprise).

⚡Behavioural Intent Weights

Maximum 80 points (68/80 currently assigned)

68 pts
🔥
Demo RequestedExplicit hand-raise for discovery call
20 / 20
👀
High-Intent Page VisitsPricing, Security, or Comparison docs
16 / 20
🎙️
Webinar / Event AttendedParticipated in live architecture workshop
12 / 20
📧
Email EngagementConsistent newsletter clicks & sequence reads
8 / 20
🌐
Total Website VisitsFrequency of digital return sessions
6 / 20
📄
Gated Content DownloadsDownloaded whitepaper or SLA framework
6 / 20

📊Test Your Model Against Real Leads

Upload your own CSV export or load our 15-lead enterprise benchmark dataset with 1 click.

📁

No Leads Loaded Yet

Click “Load Sample Enterprise Dataset” above to preview how this model scores 15 representative leads in real time.