Lead Scoring Calculator
Score how sales-ready a potential customer is based on profile and behavioral signals, and see which leads your sales team should prioritize first.
Evaluate how well the lead fits your customer profile
Select the key information that affects sales fit, including company profile, role, budget and timing.
What is the company size?
Profile FitHow well does the company fit your target customer profile?
Profile FitConsider overall fit based on industry, business model or use case.
What role does the contact have in the buying decision?
Profile FitWhat is the budget status?
Profile FitHow urgent is the need for a solution?
Profile FitEvaluate the lead's buying signals
Behaviors such as demo requests, pricing page visits, forms, email activity and recency help indicate how engaged the lead is.
Has the lead requested a demo?
EngagementHas the lead visited the pricing page?
EngagementWhat type of form interaction has occurred?
EngagementHow engaged is the lead with email?
EngagementHow many repeat website visits has the lead made?
EngagementWhen did the last interaction occur?
EngagementAre there any negative signals?
Select any conditions that may reduce sales priority. Leave this section empty if none apply.
Lead sales priority
The score is calculated from the profile and engagement signals you selected. It is not a guarantee of purchase probability; it is a guide for sales prioritization.
Areas to Develop
How should you use this score?
Lead scoring helps sales teams focus faster on the right prospects. Use the score together with customer needs, sales conversations and current engagement rather than as the only decision factor.
Automate lead scoring inside your CRM
Track prospects in one place with DinamikCRM, manage sales activities and build a more systematic lead prioritization process.
Why use lead scoring?
Lead scoring is a method used to prioritize potential customers by assigning points based on customer fit and behavioral signals. Its purpose is to help sales teams spend more time on leads that are more relevant and closer to a buying decision.