---
title: "Lead Grade Scoring"
slug: "lead-grade-scoring"
updated: 2025-11-05T01:58:14Z
published: 2025-11-05T01:58:14Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://help.madkudu.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Lead Grade Scoring

## **Introduction**

The Lead Grade is the combination of the **Customer Fit score** and the **Lead Engagement score** of a person in your CRM. It enables your team to surface the most qualified and active people in your database with just one metric. This means the Lead Grade represents a score based on both a person's firmographic/ demographic enrichment and their level of engagement.

The possible values of the Lead Grade are:

- A
- B
- C
- D
- E

Leads with an A-grade represent your most qualified and engaged prospects.

## **Main Use Cases**

Once you have prioritized your hand-raisers to your Sales team based on the Customer Fit, you may want to use the Lead Grade to route to Sales *only the leads with the best combination of fit and engagement*.

**Learn more in this detailed article:** [https://www.HG Insights.com/blog/one-lead-score-to-rule-them-all](https://www.madkudu.com/blog/one-lead-score-to-rule-them-all)

## **How is it computed?**

The Lead Grade is the result of a matrix combining **Fit** and******Likelihood to Buy (LTB)**, which can be configured in the Data Studio. It is usually configured by default as follow:

![mceclip0.png](https://support.madkudu.com/hc/article_attachments/4403966616461)

This means that a Lead with a Very High LTB and a Very Good or Good Fit would be scored A, while a Lead with a Low LTB and Medium or Low Fit would be scored E.

The Lead Grade is first computed with this matrix. Then, for each Grade, a score is computed to distinguish within a same Grade leads with a higher Fit or a higher engagement for prioritization purposes. In other words, how do you know among all your grade A leads which ones should be prioritized to be sent to sales?

There are several options:

1. look at the Fit and the LTB separately. This means training your team on using 3 different scores/segments between the fit, the LTB and the lead grade.
2. look at the Lead Grade **score**

Each Grade (A, B, C, D or E) is associated with a score range:

- *A* : scores from 90 to 100
- *B* : scores from 75 to 89
- C : scores from 50 to 74
- *D* : scores from 25 to 49
- *E* : scores from 1 to 24

The associated score of the lead is calculated based on a **weighted average of the Fit and Likelihood to Buy (LTB).**

For example, if the **Lead Grade =********2x********Fit +********1x********LTB,******this means that in within the grade A, leads with a very good Fit and high LTB will be scored higher than the leads with a good Fit but very high LTB.

This result of this formula allows you to distinguish between leads with the same grade that should be prioritized based on Fit or LTB.

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### FAQ

#### Can I edit the definition of an A, B, C, D, E lead?

Absolutely! You are able to edit the Lead Grade matrix [in the Data Studio](https://help.madkudu.com/docs/madkudus-data-studio-likelihood-to-buy-pql).