Each scored lead gets a numeric score. Current scoring looks at available business-record signals such as rating and whether a website, email address and phone number are present.
Those signals can help sort a prospecting list. They are not behavioral intent data and they do not prove that a company is ready to buy.
The contributing reasons stay visible with the lead so a salesperson can see why one account scored above another.
The current approach is deliberately rule-based and understandable rather than presenting an opaque prediction as authority.
Lead priority remains a separate field. A strategically important account can deserve immediate attention even when the available business details produce a modest score.
The reverse is possible too: a complete-looking profile can score well and still prove to be a poor fit after a real conversation.
When the scoring job runs, Lynka can update the lead probability field from the calculated score, but the qualification record remains separate.
Need, decision maker, budget discussion, timing and next action still depend on evidence from the prospect. A deal is created when the team decides the opportunity is real, not because a score crossed a magic line.
Lead scoring is available to Pro and Teams workspaces.
Free workspaces do not receive the active scoring job.
If a lead gains a website, email address or phone number later, the score can change because those specific factors changed. The reasons make that movement auditable to the rep.
A higher score therefore means the lead has more of the information the current rule values. It does not mean the software has discovered hidden purchase intent.
Lynka keeps scoring explainable and leaves need, timing, decision process and actual qualification as separate work.
Lynka uses scoring as a sorting signal, not a claim that the software can read buying intent from thin air.
Current scoring uses available business details including rating and the presence of a website, email address and phone number.
