ROI plays a crucial role in product teams’ everyday lives, providing insights into which features and strategies are paying off and which aren’t.

In this guide, we’ll define what the conversion funnel is, outline its three main levels and four stages, and walk through steps to analyze the customer journey and optimize conversion.

Ensuring smoother delivery practices leads to better product outcomes. Here are five delivery metrics you should track apart from velocity.

Discover how the insights gathered in a cohort analysis can help you identify the right steps to reduce churn and improve your retention rate.

North Star metrics make teams focus on a single goal and prevents them from unintentionally working against each other on different goals.

When a customer is dealing with your product, they want all interactions to be predictable, smooth, and seamless. The customer effort score measures this.

When teams focus on vanity metrics, they take their product in the wrong direction. Yet, PMs and other teams frequently fall into the pit of vanity metrics.

A/B testing helps you make informed decisions based on user feedback. Learn how to run effective A/B (or split) tests using Optimizely and review some examples to see how it works in practice.

CLV is a critical metric to know. It outlines the typical customer experience you may anticipate throughout the life of your business relationship.

Conversion rate is the percentage of customers who complete a desired goal. Learn the formula to calculate conversion rate and how to optimize this crucial product metric.

If you understand the cost structure of user acquisition, you can act on it and optimize it. Put simply, lower customer acquisition costs lead to more users.

The success of a product launch is subjective and not one-size-fits-all. In this guide, we’ll show you how to define what success looks like for your product and how to measure it post-launch.