What is Lead Score AI and how does it evaluate my traffic?
Bread & Butter’s Lead Score AI doesn't just calculate a generic number based on static rules. It utilizes a continuous machine-learning feedback loop to evaluate the true buying intent of your visitors, processing thousands of overlapping data points, including granular, proprietary heatmap engagement, to adapt to your specific business.
To get the most out of your intelligence engine, it is important to understand how the AI uniquely evaluates your traffic.
1. Scores are Relative and Unique to Your Website
Lead Score AI does not use a "universal truth" or rely on a standard set of generic rules (e.g., "+5 points for visiting a pricing page") to assign scores. Instead, your Lead Score model is entirely unique to your specific website. The AI evaluates your visitors relative to one another based on your site's specific architecture and purpose (whether it is an e-commerce storefront, a content-heavy blog, or a B2B software site).
Because it is relative, scores are distributed evenly across a 1-to-10 scale. This means you will see roughly the same percentage of visitors scoring a 10 out of 10 as you will see scoring a 5 or a 1. The system actively ranks your traffic to show you exactly who is engaging the most compared to your average visitor.
2. The 15-Day Learning Period
Because the AI builds a custom scoring model specifically for your website's unique behavior patterns, it requires a minimum 15-day learning period after installation. During these first two weeks, the AI is quietly observing your traffic to establish a baseline. It needs to understand what "normal" engagement looks like on your specific site before it can accurately distribute and assign scores from 1 to 10.
3. How this impacts the Focused Tab & Focused Ratio
This 15-day learning phase is critical because your most powerful dashboard tools rely entirely on the Lead Score AI:
- The Focused Tab: This workspace automatically filters out noise and bots, exclusively showing you high-intent visitors who have achieved a Lead Score of 6 out of 10 or higher.
- The Focused Ratio: This metric compares your high-intent traffic against our global network benchmark (the Focused Index) to tell you how well your marketing captures genuine human intent.
Because both of these tools rely on accurate lead scoring, they also require the 15-day learning period to complete before they can confidently populate your pipeline and benchmark your performance.
4. How it Improves Over Time (The Success Factor)
Once the initial 15-day learning period is complete, the model gets even smarter over time. The secret to hyper-accurate lead scoring is actively marking profiles as a Win/Closed lead in your Funnel.
By doing this, you are setting the "Success Factor" for the machine. The AI immediately looks back at the entire journey of that specific winning user—analyzing hundreds of data points, behaviors, and demographics—to recalibrate your Ideal Customer Profile (ICP). This eliminates human bias and allows the dynamic AI to constantly adjust its scoring weights to find more visitors who act exactly like your actual buyers.