---
title: "Lead Scoring Calibration"
section: "Agent store — Sales — Lead Management"
canonical_url: "https://leverge.ai/agents/sales/lead-management/lead-scoring-optimization"
category: "Sales"
process: "Lead Management"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Lead Scoring Calibration

Compare what your lead scores predicted against what actually converted, and propose changes only where the outcomes support them.

## At a glance

- Business function: Sales
- Process: Lead Management
- Runs: run on demand
- Run cost: 7 credits
- Uses a knowledge base: no

## What it needs

- **Scored leads with outcomes** (file upload) — Leads that were scored and have since converted or not.
- **Current model** (form)

## How it works

1. Reading the outcomes
2. Comparing scores against outcomes
3. Writing the change proposal

## What it returns

- **How well the model predicted** (score)
- **Factor by factor** (breakdown table)
- **Proposed changes** (markdown doc)
- **Not enough evidence** (flagged exceptions)

---

Source: https://leverge.ai/agents/sales/lead-management/lead-scoring-optimization — Leverge