Metric Guide

Funnel Conversion Rate


Funnel conversion rate is a metric used to measure the effectiveness of online marketing campaigns. It helps marketers understand how well their efforts are performing by tracking how many visitors complete certain goals, such as clicking on an ad or making a purchase. Knowing this information can help marketers refine their strategies and make more informed decisions about where to allocate resources. Let’s take a closer look at what funnel conversion rate is, and why it’s so important for understanding the success of your marketing campaigns.


Funnel conversion rate measures the percentage of visitors who convert into customers after they have interacted with your website or product page. The conversion rate can be calculated by dividing the number of conversions (visitors who complete a goal) by total visitors over a given period of time. For example, if you want to measure the conversion rate for an email marketing campaign, you would divide the number of people who opened your email and clicked through to your website by the total number of emails sent in that campaign.

$$\frac{MQLs}{Page\:Views}$$ and $$\frac{New\:Customers}{MQLs}$$

Funnel conversion rate is an essential metric for measuring the success of online marketing campaigns. By understanding this metric and taking steps to optimize it through testing and refinement, you can maximize the return on investment from your digital marketing efforts and ensure that they remain successful over time. With careful analysis and optimization techniques in place, funnel conversion rate can be used as an effective tool for driving sales growth in any business setting. Improving funnel conversion rate starts with understanding what factors influence conversions. In addition to optimizing your website design, you should also focus on improving customer experience by creating content that resonates with your audience, providing helpful customer service, and using targeted advertising campaigns to reach potential customers. Additionally, using A/B testing can help you identify areas where you can make improvements to create a better user experience and increase conversions. A/B testing involves creating two different versions of a webpage or landing page and comparing which version performs better in terms of conversions. This allows you to tweak elements such as design, layout, messaging, and calls-to-action to create an optimized experience for website visitors that encourages them to take action.

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