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How ICP scoring works

Every lead is scored 0–100 against your ICP. Here's what each band means and what drives it.

3 min read

Aidealy compares each enriched lead against your ICP and computes a score. Higher scores mean a better fit. Use the bands to decide where to focus and what to deprioritise.

Score bands

Aidealy groups scores into bands so you can act at a glance instead of staring at exact numbers. The same bands drive the colour coding in the Leads Hub.

ScoreBandWhat it means
85–100Excellent fitStrong match across most dimensions — prioritise these for outreach today.
70–84Good fitSolid match — worth working through this week.
50–69Partial fitSome criteria match; review the breakdown before investing time.
0–49Weak fitMost criteria miss — usually safe to deprioritise unless you have a specific reason.
ICP score bands
Score indicator on the lead detail page

What drives the score

Each ICP dimension contributes to the score with the weight you set when you built the profile. Industry, company size, geography, headcount band, revenue band, and any custom signal you defined all combine into the final number.

If you click into a lead's score card, you can see exactly which dimensions pulled the score up and which dragged it down — useful when a number looks surprising.

Missing data is not zero

If Aidealy can't enrich a particular field (for example, headcount on a privately held company), that dimension is treated as unknown rather than as a miss. The score reflects only the dimensions we could actually evaluate.

Re-score after edits

Re-score a lead after editing the ICP

  1. 1

    Edit the ICP

    Open the ICP Profile this Lead List uses and adjust the criteria or weights. Save your changes.

  2. 2

    Trigger a re-score

    From the lead detail page or the row action menu, choose Re-score. Aidealy recomputes the score against the new ICP definition without spending an enrichment credit.

  3. 3

    Verify the new score

    Watch the score update in place. If a band changed, the colour and label update too — and the lead may move on the Kanban board if you sort or group by score.