Score your leads based on company fit, engagement, budget, and timeline. Get qualification tier and recommended next action.
Whitepapers, guides, etc. (10+ = max score; scores are floored at 0)
How the score is built: a fixed weighted rubric — Company Size 15%, Industry Fit 20%, Engagement 20%, Budget 20%, Timeline 15%, Downloads 10%. These weights are a house default for this tool, not an industry standard or a fitted model, and no AI or external service is involved. Recalibrate them against your own closed-won data before you use the score to route real leads.
Lead Score
54
out of 100
Warm
Add to nurture campaign. Provide educational content, invite to webinars, and build relationship over 2-4 weeks.
Score Breakdown
Sales-Ready
80-100 points
Immediate sales outreach
Hot
60-79 points
Priority follow-up
Warm
40-59 points
Nurture campaign
Cold
0-39 points
Long-term nurture
The bands are this tool's own thresholds on its own rubric. MQL and SQL are labels your CRM assigns under your own rules — they are not a fixed score range.
Without lead scoring, sales reps waste time on unqualified prospects while hot leads go cold. The key is aligning scoring criteria with your actual customer profile: the criteria that separate your closed-won accounts from everyone else are the ones worth weighting, and the weights below are a starting point to be re-derived from your own data — not a benchmark.
Start by analyzing your best customers: what company size, industry, and buying process do they share? Then look at the behavioral patterns that preceded their purchase: did they download content, attend demos, or visit pricing pages? These patterns form the foundation of your scoring model.
ECOSIRE implements CRM systems with automated lead scoring, pipeline management, and sales analytics for businesses of all sizes.