Lead Score Calculator
Score your sales prospects from 0-100 using the proven BANT methodology and get actionable recommendations to prioritize your sales efforts.
Lead Information
Select your lead characteristics above
and click "Calculate Lead Score" to get results
What is Lead Scoring?
Lead scoring is a methodology used by sales and marketing teams to rank prospects against a scale that represents the perceived value each lead represents to the organization. This systematic approach helps prioritize leads based on their likelihood to convert into customers, ensuring your sales team focuses their efforts on the most promising opportunities.
The BANT Methodology
Our calculator is based on the proven BANT methodology, originally developed by IBM and widely adopted across the sales industry. BANT stands for Budget, Authority, Need, and Timeline - the four key criteria for qualifying sales leads:
🏦 Budget
Does the prospect have the financial resources to purchase your product or service? Understanding budget constraints helps determine if a deal is worth pursuing and how to position your offering.
👤 Authority
Who has the decision-making power? Identifying whether you're speaking with a decision-maker, influencer, or researcher helps you understand the sales process complexity and timeline.
⚡ Need
Does the prospect have a clear business need that your solution addresses? Understanding their pain points and urgency helps tailor your approach and messaging.
⏰ Timeline
When does the prospect need to make a decision? Knowing their timeline helps prioritize follow-up activities and resource allocation.
How to Implement Lead Scoring in Your CRM
Implementing lead scoring in your CRM transforms your sales process from reactive to proactive. Here's how to set up an effective lead scoring system:
Pro tip: The most effective lead scoring systems combine explicit information (what leads tell you) with implicit information (what their behavior tells you). This calculator focuses on explicit BANT criteria, but your CRM should also track behavioral signals like page views, email engagement, and social media interactions.
Frequently Asked Questions
How accurate is lead scoring?
Lead scoring accuracy improves over time as you collect more data and refine your criteria. Most businesses see 20-30% higher conversion rates when using lead scoring compared to treating all leads equally. The key is to continuously analyze your results and adjust your scoring model based on what actually converts.
What score range indicates a qualified lead?
Generally, scores above 80 indicate hot leads that should be contacted immediately. Scores between 60-79 are warm leads requiring follow-up within 48 hours. Scores below 60 are cold leads best suited for nurture campaigns. However, these thresholds should be adjusted based on your industry and historical conversion data.
Should I only focus on high-scoring leads?
No - lower-scoring leads still have value and can become high-scoring over time. The goal is proportional effort allocation: spend most of your immediate attention on hot leads while maintaining nurture sequences for warm and cold leads. Many cold leads become hot prospects 3-6 months later when their situation changes.
How often should lead scores be updated?
Lead scores should be updated whenever new information becomes available - after calls, email responses, website behavior, or changes in their business situation. Modern CRMs can automatically update scores in real-time based on behavioral triggers, ensuring your sales team always works with current data.
Can lead scoring work for small businesses?
Absolutely! Even simple lead scoring can dramatically improve small business sales efficiency. Start with basic BANT criteria like this calculator provides, then gradually add behavioral scoring as you collect more data. The key is consistent application and regular review of what's working.
What's the difference between marketing qualified leads (MQL) and sales qualified leads (SQL)?
MQLs are leads that meet basic demographic and behavioral criteria indicating potential interest. SQLs are leads that have been further qualified through direct interaction and meet BANT criteria. This calculator helps identify SQLs - leads ready for direct sales engagement rather than continued marketing nurture.
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