How are scores calculated?
Last updated
Every lead in Leadbay has a score from 0 to 99. Higher means more relevant to you.
The score reflects how similar a lead is to the leads that have worked for you — your won deals and liked leads. It's computed using AI embedding models that capture deep patterns beyond simple keyword matching.
Won deals: the strongest signal. Leads similar to your past wins score highest.
Liked leads: likes tell the model what you find relevant.
Qualification answers: if the AI Assistant is configured, positive answers to your questions boost the score.
Active lens: each lens has its own AI model, so the same lead may score differently in different lenses.
Like and dislike leads regularly in Discover — this trains the model
Update lead statuses (won/lost) — this is the best signal
Configure qualification questions — adds another scoring dimension
Use focused lenses — a lens targeting one market segment gives more precise scores than a broad one
The score recalculates periodically as the model learns from your actions.
Last updated