Hubspot

SQL

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SQL is a lead that has been vetted and qualified by the sales team as having a high potential to convert into a paying customer based on specific criteria and interactions.

Hubspot SQL

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SQL Meaning

What is SQL?

A Sales Qualified Lead (SQL) refers to a lead that has been evaluated and determined by the sales team to be ready for direct sales engagement. This qualification indicates that the lead has demonstrated a significant level of interest, engagement, and readiness to purchase, meeting predefined criteria such as budget, authority, need, and timing (BANT). The process of identifying SQLs involves both marketing and sales efforts. Initially, leads are generated and nurtured by marketing, and then they are handed over to the sales team for further qualification. Sales teams typically assess leads through direct interactions, such as discovery calls, meetings, and follow-up communications. SQLs are crucial for sales efficiency, as they represent the most promising opportunities for closing deals and generating revenue. Tracking the number of SQLs helps businesses evaluate the effectiveness of their lead generation and qualification processes, ensuring that sales teams focus their efforts on the most viable prospects. This metric also provides insights into the quality of leads generated by marketing campaigns and the efficiency of the sales team in advancing leads through the sales funnel.

Hubspot SQL

SQL Tracking

Narrative BI is a generative analytics platform that allows you to track your key metrics from multiple data sources in one platform. To track SQL using Narrative BI, follow these steps:

Target SQL: 2024 Benchmark

Average Hubspot SQL

What is a good SQL for Hubspot?

The average Hubspot SQL depends on industry, geography, and campaign strategy.

The average SQL in Hubspot across all industries is .

* Data is calculated for the the United States-located accounts only.

SQL Example

Consider a company that tracks the conversion of leads into SQLs over a month. The sales team uses specific criteria to qualify leads and determines the following results:

  1. Total leads generated: 300
  2. Leads qualified as SQLs: 90
  3. Leads not meeting the criteria: 210

The total number of SQLs for the month is 90, representing the leads that have the highest potential to convert into customers.

SQL Conversion Rate = ( Total leads generated / Leads qualified as SQLs ​ ) × 100 = (90/300) x 100 = 30%

This example shows that 30% of the total leads generated were qualified as SQLs, indicating the effectiveness of the lead qualification process. By analyzing this metric, the company can focus its sales efforts on the most promising leads and refine its strategies to improve lead conversion rates.

SQL vs MQL

SQL specifically measures a lead that has been vetted and qualified by the sales team as having a high potential to convert into a paying customer based on specific criteria and interactions.

On the other hand, MQL measures a lead that has been identified and vetted by the marketing team as having a high potential to become customer based on the engagement and behavior.

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