Lead Scoring Calculator
Score leads based on demographic fit and behavioural signals to prioritise sales outreach and predict conversion likelihood.
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How to use this calculator
Demographic points come from job title, company size, and industry fit. Behavioural points come from email opens (×2 each), page visits (×1 each), form submissions (×5 each), and demo requests (20 points). The total determines grade and recommended action.
- 1
Select the lead's job title seniority, company size, and how well their industry matches your ICP.
- 2
Enter behavioural data from your CRM or marketing automation: email opens, page visits, and form submissions in the last 30 days.
- 3
Mark whether the lead has requested a demo or booked a call — this carries the highest weight.
- 4
Use the grade and recommended action to decide whether to route to sales, inside sales, or continue nurturing.
Frequently asked questions
What is lead scoring and why does it matter?
Lead scoring assigns numerical values to leads based on how closely they match your ideal customer profile and how engaged they are with your content. It helps sales teams focus on the highest-probability prospects rather than contacting every lead equally, which increases close rates and reduces wasted effort.
How do I customise the scoring weights?
Work with your sales team to analyse past won/lost deals and identify which attributes correlate most with conversion. Common findings: demo requests and pricing page visits are strong signals; email opens alone are weak. Adjust weights in your CRM to reflect what actually predicts purchase in your business.
What CRM tools support automated lead scoring?
HubSpot, Salesforce (with Einstein), Marketo, Pardot, and ActiveCampaign all support rule-based and AI-powered lead scoring. Most marketing automation platforms can auto-update scores as leads engage, saving manual effort.
Should I score all leads or only inbound leads?
Score all leads, but set different thresholds for inbound vs outbound. Inbound leads who find you typically convert at higher rates than cold outbound, so an inbound Grade B may be prioritised above an outbound Grade A at equal scores.
Lead Scoring Calculator — Qualify & Prioritise B2B Leads
How Lead Scoring Improves Sales Efficiency
Without lead scoring, sales teams treat every lead equally and waste hours calling people who are a poor fit or not ready to buy. Lead scoring combines firmographic data (who the lead is) with behavioural signals (what they have done) to predict purchase intent. Studies show that companies using lead scoring see 77% higher lead generation ROI and 73% higher conversion rates than those that do not qualify leads before sales contact.
Demographic vs Behavioural Scoring — Finding the Right Balance
Demographic scoring alone misses timing — a perfect-fit lead who visited once six months ago is not ready. Behavioural scoring alone misses fit — a lead who downloads every ebook but works at a company outside your target market will not convert. The most predictive lead scoring models combine both dimensions: a high demographic fit (Grade A profile) plus recent high-intent behaviour (demo request, pricing page visit) is the strongest signal you can get short of a direct inbound inquiry.
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Results are estimates for informational purposes only and do not constitute professional financial, medical, legal, or technical advice. Read full disclaimer →