Each scored lead gets a numeric score and an explanation. Current scoring looks at available business details such as rating and whether a website, email address and phone number are present.
That can help sort a prospecting list, but it is not behavioral intent data and it does not know whether a company is ready to buy.
The contributing factors remain visible with the lead instead of leaving the rep with a number and no explanation.
A salesperson can therefore see whether a higher score came from stronger available business details rather than treating the score as a mysterious prediction.
When the scoring job runs, Lynka also updates the lead probability field from the calculated score. The qualification record remains separate.
Need, decision maker, budget discussion, timing and next action still require the team to confirm what it has actually learned from the prospect.
Lead priority is a separate field. A rep can decide that a strategically important account deserves immediate attention even when the available data produces a modest score.
The reverse is also possible: a well-populated business profile can score well and still be a poor fit after a real conversation.
Lead scoring is available to Pro, Pro Trial and Teams workspaces.
Free workspaces do not receive this scoring job.
The scoring signal can help a rep decide where to start, but the final pre-pipeline decision is qualification.
Once the team has enough evidence that the opportunity is real, the lead can continue into a deal with its own value, stage, probability and expected close date.
Lynka's current score is rule-based and explainable. It uses the business rating and whether a website, email address and phone number are present, and it keeps the reasons beside the score.
It does not claim to predict buying intent, scrape hidden behavior or infer that a company is ready to purchase. A high score means the lead has more of the information the current rule values, not that the deal is guaranteed to close.
If a lead initially has only a company name and later gains a website, email and phone number, the score can increase because those specific factors changed. The reasons make that movement auditable to the salesperson.
That transparency is useful when a team wants a simple prioritization signal without treating an opaque model as the qualification decision.
Lead scoring is useful when it helps a rep decide where to look first. It becomes dangerous when a simple number is marketed as proof that somebody wants to buy.
Current scoring uses available business details including rating and the presence of a website, email address and phone number.
