How ICP scoring works
Every lead is scored 0–100 against your ICP. Here's what each band means and what drives it.
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.
| Score | Band | What it means |
|---|---|---|
| 85–100 | Excellent fit | Strong match across most dimensions — prioritise these for outreach today. |
| 70–84 | Good fit | Solid match — worth working through this week. |
| 50–69 | Partial fit | Some criteria match; review the breakdown before investing time. |
| 0–49 | Weak fit | Most criteria miss — usually safe to deprioritise unless you have a specific reason. |

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