Does the Focused Score improve over time?
Yes. Focused Score is not a static number calculated once from a fixed set of rules. It runs on a continuous machine-learning feedback loop, and it gets more accurate with every lead you mark Won/Closed.
In short: Focused Score learns from your actual buyers. Each time you mark a lead Won/Closed, the model looks back over that person's whole journey and recalibrates your Ideal Customer Profile against what really converted. That is what makes it different from a hand-built scoreboard: a rules-based score is only as good as the last time someone rewrote the rules, while Focused Score adjusts itself every time you close a deal.
How Focused Score Learns
The model trains on outcomes, not assumptions. When you mark a lead Won/Closed, Bread & Butter analyses that specific journey, evaluating thousands of data points to learn which behaviours, demographics and firmographics actually led to a customer on your site. It then refines its definition of a strong lead so your team stays focused on the prospects who look and act like the people who already bought.
The full mechanics, including the Success Factor and what happens the first time you mark a profile, are in Why does marking leads Won/Closed make Focused Score more accurate?
Why Focused Score Outperforms a Hand-Built Scoreboard
Historically, lead scoring has relied on manual, human-defined rules: "+10 points for a Director title", "+5 points for viewing the pricing page". That is a decent starting point, and it is where most scoring systems stop. Here is why a learned score outperforms it:
- Dynamic vs. static. Human-built scoreboards decay. If your product or target market shifts, a rules-based score becomes inaccurate the moment it happens and stays that way until someone rewrites the logic. Focused Score adapts on its own, recalibrating its scoring weights against your latest closed deals.
- Objective vs. biased. Manual scoring is shaped by gut feel and recency bias ("our last three buyers were in healthcare, so boost all healthcare leads"). Focused Score takes that bias out of the equation by weighing actual conversion outcomes rather than opinions about them.
- Multidimensional vs. linear. An operations manager can realistically juggle fifteen to twenty scoring rules before the system becomes unmanageable. Focused Score processes thousands of overlapping data points at once. It goes well beyond page views, analysing the complete journey in detail and incorporating proprietary heatmap data to measure how intensely a prospect engages with your content. It detects non-linear combinations, such as a particular job title, deep engagement on one specific case study, and a company revenue band, that no rule-maker would think to write down.
By replacing guesswork with continuous learning and deep behavioural tracking, Focused Score keeps your pipeline prioritisation driven by what is actually converting, not by what someone assumed would.