Metric Guide

Product Qualified Lead


A Product Qualified Lead (PQL) is a term used in marketing to describe a lead that has been identified as having the potential to become a customer. It is important for businesses to be able to identify PQLs, as this will help them target leads that are more likely to convert into customers. Identifying PQLs requires collecting and analyzing data from various sources. Companies must have access to reliable data tracking tools in order to measure user behavior across multiple channels—such as web visits, email clicks, social media interactions—and determine which leads meet the criteria for being product qualified. Furthermore, it’s important for companies to analyze this data holistically so that they can make accurate predictions about which leads are most likely to convert into customers.


A PQL is typically defined by its level of engagement with the product or service being offered. This could mean that they have visited certain pages on the website, such as pricing or product pages; have interacted with certain features; or have requested specific information about the offering. In addition, if they have already provided their contact details then this can also be indicative of their interest in becoming customers.


Product qualified leads are an essential part of any successful marketing strategy because they represent those leads who are most likely to convert into sales. To successfully identify potential PQLs, businesses need to collect and analyze data from multiple sources and observe customer behavior over time so that they can accurately predict which leads will become customers in the future. By understanding what makes a lead product qualified and implementing effective tracking solutions, companies can ensure their marketing efforts are focused on generating more sales-ready leads. Analyzing past customer behavior can also help companies identify traits shared by customers who have already made purchases and use those traits to identify new potential customers who may be interested in buying the product or service. By combining this behavioral analysis with other data points like demographics and contact information, companies can build an even more comprehensive picture of their current and prospective customers.

We're here to help!

Get the Semantic Layer Guide!

Everything that a data leader needs to understand and deploy metrics at scale

Download The Full Guide

Core Semantic Layer Concepts

Benefits and ROI

Implementation Steps

Top 5 Metrics by Department

we're in Private beta

Get early access!

We're looking for Beta users to provide us feedback

Get Started

Metrics Monitoring

Automated Insights

Business Observability