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Lead Scoring Calculator

Score your leads based on company fit, engagement, budget, and timeline. Get qualification tier and recommended next action.

6 scoring criteriaRadar visualizationQualification tiers

Lead Attributes

Poor fit3/5Perfect fit
Low3/5High

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

Company Size
15%
Industry Fit
20%
Engagement
20%
Budget
20%
Timeline
15%
Downloads
10%

Score Radar

Fit criteria: company size, industry, budget Behaviour criteria: engagement, timeline, downloads

Qualification Tiers

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.

Frequently Asked Questions

What is lead scoring?
Lead scoring assigns a numerical value (typically 0-100) to each sales lead based on their attributes and behaviors. Higher scores indicate greater likelihood of conversion. It helps sales teams prioritize follow-up efforts on the most promising prospects.
What factors should influence a lead score?
Effective lead scoring considers demographic fit (company size, industry, job title), behavioral signals (website visits, content downloads, email engagement), budget alignment, and buying timeline. The best models combine both fit-based and activity-based criteria.
What is the difference between MQL and SQL?
A Marketing Qualified Lead (MQL) has shown enough engagement to be considered a prospect but needs more nurturing. A Sales Qualified Lead (SQL) has been vetted and is ready for direct sales outreach. There is no universal score band separating them: each CRM defines its own rules, and the thresholds depend on your rubric. This calculator labels its own bands (Sales-Ready, Hot, Warm, Cold) on its own weighted rubric — treat the cut-offs as a starting point and set them from your own conversion data.
How do I calibrate my lead scoring model?
Review your conversion data: what score ranges actually convert to customers? Adjust weights and thresholds based on real outcomes. Recalibrate quarterly as your ideal customer profile evolves. Start simple with 4-6 criteria and add complexity over time.
Can I automate lead scoring?
Yes. CRM systems like Odoo, HubSpot, and GoHighLevel support automated lead scoring rules. They can score leads based on form submissions, email opens, page visits, and demographic data in real-time, automatically routing hot leads to the sales team.

The Science of Lead Scoring

Why Lead Scoring Transforms Sales Productivity

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.

Building Your Ideal Customer Profile

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.

Build Automated Lead Scoring

ECOSIRE implements CRM systems with automated lead scoring, pipeline management, and sales analytics for businesses of all sizes.

CRM Pipeline SetupOdoo CRM SolutionsCustomer Value Calculator