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Lead Scoring

Know exactly which leads are ready to buy

AI-powered lead scoring models. Automatic prioritization based on engagement, firmographic profile, and digital behavior.

Schedule a lead scoring consultation
Expected results

What you can expect

Real KPIs based on results with B2B clients in industries similar to yours.

+50%

Sales Efficiency

Your team talks only to leads that can actually buy

3x

Close Rate

On high-scored leads vs leads without scoring

Auto

Prioritization

The system decides which leads to handle first

-70%

Wasted Time

Less time on leads that will never buy

What we do

What this service includes

Every deliverable is designed to impact a specific metric in your funnel.

Scoring model based on profile + behavior
Real-time automatic scoring
CRM integration for pipeline prioritization
Alerts when a lead reaches purchase threshold
Predictive analysis for close propensity
Monthly model refinement with real data
Tech stack

Tools we operate

We don't experiment with your budget. We use proven tools and master them.

HU

HubSpot

Scoring Engine

GO

GoHighLevel

CRM + Scoring

CL

Claude AI

Predictive Model

GO

Google Analytics 4

Behavioral Data

ZA

Zapier

Integrations

SL

Slack

Alerts

PY

Python

ML Models

LO

Looker Studio

Visualization

How it works

Clear process, measurable results

No surprises. Every step has a deliverable and an expected outcome.

01

Definition

We identify the signals that predict a close in your industry.

02

Model

We build the scoring model with defined weights and thresholds.

03

Implementation

We integrate into your CRM with alert and routing automations.

04

Refinement

We adjust the model monthly based on actual close data.

Who it's for

Is this service right for you?

We're transparent about when we can help — and when we can't.

It's for you if...

B2B companies with 30+ leads/month that need to prioritize
Sales teams wasting time on unqualified leads
Businesses with long sales cycles where nurturing is key
Companies that want to move from intuition to data for sales prioritization

Probably not if...

Companies with fewer than 20 leads/month (not enough data)
Businesses without a CRM in place (nowhere to store the scores)
Companies selling a single simple product with no variation
Businesses where every lead gets the same attention regardless
Real case

Before vs After

Anonymous results from a B2B client in the B2B professional services industry.

Before

Professional services firm with 50 leads/month, all treated equally. Reps spent 70% of their time on leads that never closed. No way to distinguish a hot lead from a cold one.

After

We implemented scoring based on demographics + web behavior + email engagement. Reps now automatically prioritize hot leads. Close rate on high-scored leads: 38% vs 8% before.

Close rate (hot leads)

Before8%
After38%

Rep time on cold leads

Before70%
After15%

Revenue per rep

BeforeBaseline
After+65%
What to expect

Your results roadmap

We don't promise overnight miracles. Here's what happens month by month.

Week 1

ICP Analysis

We define your Ideal Customer Profile based on won and lost client data.

Scoring model v1 defined

Week 2-3

Implementation

We configure scoring in your CRM, connect data sources, create automations.

Scoring active in CRM

Month 2

Calibration

We compare scores with actual sales results, adjust weights and criteria.

Model calibrated with real data

Month 3+

ML & optimization

If volume is sufficient, we migrate to a self-learning predictive model.

Predictive scoring operational

Comparison

Why not do it in-house?

Compare your options to make the best decision for your company.

Do It Yourself

Freelancer

De Marketing

Model

Sales rep intuition

Basic rules

Rules + predictive ML

Data Points

Demographics only

Demographics + email

Demographics + behavior + intent

Automation

Manual

Semi-automatic

100% automatic with alerts

Evolution

Static

Manual adjustments

Self-improving with new data

Integration

Isolated

Basic CRM

CRM + marketing + sales + web

Why us

We're not a generic agency

The difference between executing tactics and architecting a system.

01

AI, not static rules

The model learns and improves with every deal closed or lost.

02

Focuses your team

Your sales team works the leads with the highest probability of closing.

03

Shorter sales cycle

Contacting a lead at the right moment drastically reduces time to close.

FAQ

Your questions answered

The most common questions about our lead scoring service.

Included in

This service is part of our models

Lead Scoring is included in the following service tiers. No need to purchase it separately.

Next step

Need lead scoring for your business?

Book a free consultation. We'll analyze your situation and recommend the best path forward.