Fit & Not-a-fit

Every lead carries two buttons: Good fit, find more like this and Not a fit, show fewer like this. They are not bookkeeping; they are the steering wheel. Future grading calibrates toward what you mark, so the definition of High priority in your workspace converges on your judgment rather than a generic one.

Rejection reasons

Marking a lead not-a-fit asks one tap more: why. Not my customer, Not relevant, No real intent, Bad timing, Can't reach them, or Other with a line of text. Each reason teaches something different: "not my customer" tunes fit, "no real intent" tunes signal reading, "not relevant" points at a keyword. The pattern of your reasons feeds the rejection patterns view in Insights, which turns them into concrete tuning moves.

Grading well, in practice

• Grade a handful daily rather than a pile weekly; steady signal beats bursts.
• Grade the good ones too. Positive examples are rarer and carry more information.
• Changed your mind? Click the active grade again to clear it, and the calibration reverts.
• After editing keywords or ICP, grade the first day's leads deliberately: you are teaching the new configuration.

The filtered-out shelf

Some leads never reach your main list: LeadPinger filtered them out for a stated reason (service provider, wrong geography, off-topic). They are not deleted. The Filtered out toggle in the queue shows them, each with its reason and a Restore button, and the banner on any filtered lead says it plainly: this check is not always right. Restoring puts the lead back and is itself a signal the system learns from.