Lead Scoring Calculator
Decide which leads deserve a sales call first. List what you know about a lead – job title, company size, pages visited, emails opened, a demo request – with the points your scoring model gives each signal, including negative points for poor fit. The calculator adds them up, grades the lead as hot, warm or cold using your own thresholds, shows how far it is from the next grade and names the strongest signal.
- Runs in your browser
- No sign-up
- Free to use
Positive points for fit and interest, negative for poor fit. Use your own scoring model.
A simple additive model. Calibrate the points against which past leads actually became customers.
How to use Lead Scoring Calculator
- Write one signal per line with its points.
- Set the score for hot and warm leads.
- Read the score, grade and strongest signal.
- Adjust the points as you learn which leads convert.
Lead Scoring Calculator features
Your own model
Any signals and points.
Negative scoring
Poor-fit signals subtract points.
Grades
Hot, warm and cold thresholds.
Next grade
Points still missing.
Formula shown
Every result explains how it was calculated.
Private
Runs in your browser; nothing is sent or stored.
When to use Lead Scoring Calculator
- Prioritising inbound leads for sales.
- Agreeing a scoring model between marketing and sales.
- Testing a scoring model before building it in a CRM.
- Explaining why a lead was or was not passed on.
Lead Scoring Calculator FAQ
How many points should a signal get?
Start with a rough guess: strong buying signals such as a demo request 20–30 points, fit signals 10–20, light engagement 1–5. Then compare scores with which leads actually became customers and adjust.
Why negative points?
Some signals mean a poor fit – a student email address, a competitor, a country you do not serve. Subtracting points keeps those leads from reaching sales just because they were active.
What are good thresholds?
Set them so the hot group is small enough for sales to call quickly. Many teams pass on the top 10–20% of leads.
Can I use it for many leads?
This tool scores one lead at a time. Once the model works, build it into your CRM or marketing automation.
How additive lead scoring works
Additive scoring is the simplest lead-scoring model: each signal adds or subtracts a fixed number of points, and the total decides what happens next. It is easy to explain and to adjust, which is why most CRMs start with it.
Fit signals describe who the lead is (role, company, location); engagement signals describe what the lead did (visits, downloads, replies). A good model uses both, so a perfect-fit lead that never engages and a very active lead that can never buy both stay below the hot line.
Engagement fades: a pricing-page visit last week means more than one six months ago. Many teams subtract points for inactivity, for example 5 points for every month without activity, so old leads drop back to warm or cold on their own.
Re-run the numbers whenever an input changes – a supplier raises prices, a fee is updated or demand shifts – because small changes in costs or volumes often have a large effect on the result.