Lead Scoring: how to tell which leads are ready to buy

What is Lead Scoring

Lead Scoring is a method that assigns a numerical score to each potential customer based on:

Firmographic data – company size, sector, location, contact role
Behaviour – website visits, email interactions, document downloads, clicks on pricing
Lead source – e.g. visitor from a referral vs. from a random advert
Time-based relevance – activity in recent days, number of repeat visits

Score types:

Explicit score = information provided by the lead themselves (e.g. role, company)
Implicit score = behaviour and interactions (e.g. number of visits, interest in the price list)
Behavioural scoring = response to specific campaigns
Predictive scoring = uses AI to predict the likelihood of conversion

A lead that exceeds a certain threshold (e.g. 80 points) is designated as a Sales Qualified Lead (SQL) and passed on to the sales team for follow-up.

Why Lead Scoring is important for B2B companies

It focuses on quality, not quantity
100 MQLs is not a success if 90% of them never buy. Scoring separates the wheat from the chaff.
It shortens the sales cycle
The sales representative receives only those leads that have a high probability of closing.
Better collaboration between marketing and sales
Clearly defined rules (e.g. what constitutes an SQL) reduce friction between teams.
Increases campaign ROI
Campaigns are optimised to acquire high-potential leads – not just based on cost per contact.
Scalable automation
Lead Scoring is the foundation for automated workflows – email sequences, notifications to sales reps, and stage changes in the CRM.

Practical application and examples

Scoring website activity
15 points for visiting the pricing page
10 points for downloading an e-book
30 points for requesting a demo
A lead with 85 points is automatically handed over to a sales representative.
Negative scoring –
10 points for unsubscribing from the
newsletter – 20 points for 30 days of inactivity
. The lead is returned to the nurturing pipeline until they show interest again.
Firmographic model
20 points for companies with >100 employees
15 points for the manufacturing sector
– 10 points for freemail addresses Sales
representatives’ priorities are determined by these factors.
Trigger campaigns upon reaching a score. As
soon as a lead reaches 70 points, a personalised email is triggered: “Ready for an ROI calculation?”
Scoring in ABM campaigns
Multiple contacts from a single target company increase the score of the entire account. The SDR team receives a notification that the company is “ready”.

5 tips for setting up Lead Scoring correctly

Start with a simple model
No need for AI – even simple scoring with 5–10 rules will deliver results.
Work with sales
Ask the sales team what leads that convert into deals have in common.
Validate and adjust regularly
Track how many SQLs actually convert – and adjust the weighting of points based on reality.
Distinguish activities by funnel stage
Reading a blog post ≠ downloading a pricing PDF. Different scores based on the weight of behaviour.
Integrate with CRM and automation
Link scoring to lead status changes, notifications and email sequences.

Related terms

Lead Nurturing – follow-up care for leads that aren’t yet ready
MQL / SQL – qualification levels in the journey
Marketing Automation – a system that utilises scoring

Further resources

Summary

Lead Scoring ensures that your sales team focuses on the most promising leads. It helps marketing target more effectively and enables the company to grow intelligently, rather than haphazardly. Would you like to set up or improve Lead Scoring that genuinely shortens the path to a deal? Please don’t hesitate to contact us.