Lead Scoring Calculator

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.

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.

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. MQLs typically score 40-70, while SQLs score 70+.

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.

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.