Cover photo

Top 10 Product Engagement Metrics ✨ and How to Track Them

Valuable insights that shape brands strategies

Product engagement metrics serve as the compass guiding businesses toward optimizing the user experience, driving growth, and enhancing product performance. By looking at 10 key metrics, brands can find valuable insights that shape their strategies and move toward long-lasting success. This article discusses the importance of engagement metrics and how to analyze them properly.

What is product engagement?

Product engagement is a critical component of creating a successful startup. Engagement metrics measure the level of user interest in your product or how much users engage with it. This can be measured using a variety of engagement metrics, such as retention rate, time spent on a product, or feature adoption rate. By analyzing these metrics, you can gain valuable insights into how users are engaging with your product and identify areas for improvement.

Product engagement helps brands improve product design and create in-demand features

Measuring product engagement allows product teams to 

  • Monitor and observe user base activity 

  • Understand how users are spending time within your product

  • Boost revenue through product-led growth 

  • Improve product design and introduce in-demand features

User engagement metrics offer insights into user behavior, preferences, and customer satisfaction levels. They help brands understand what aspects build user engagement and what factors lead to disengagement.

Why is product engagement important for startups?

Product engagement reflects how well customers interact with a product, impacting retention and growth. Companies can enhance the product experience and increase product usage by measuring user engagement.

Product engagement serves as a measure of the value users derive from your product. A significant level of product engagement indicates customers are actively interacting with your product. This heightened engagement is pivotal for user retention, leading to increased revenue and reduced customer acquisition costs.

10 Important Product Engagement Metrics

These metrics show how users interact with your product and how well it helps achieve your business goals. Here are key metrics your product teams should measure:

Selecting appropriate engagement metrics is important to achieve business goals

1. Daily/Weekly/Monthly Engagement

Daily Active Users (DAU), Weekly Active Users (WAU), and Monthly Active Users (MAU) are metrics that measure how many unique users are actively using your product during a particular period of time. By tracking these metrics, you can get a clear picture of how popular and relevant your product is, and how engaged your users are. Active user metrics can help you understand trends and make informed decisions about your platform.

2. Time in product

Time spent on the product is a key element in determining product engagement scoring. Users who derive value from the product tend to spend more time using it. Establishing a benchmark from a substantial dataset allows for comparison with individual user engagement levels. 

Calculating the Time in Product for Brands

3. Conversion rate

The conversion rate is the percentage of users who complete a desired action, such as making a purchase or signing up for a service, out of the total number of users. When the conversion rate is high, it means the platform is effective at guiding users toward actions that support business goals.

Calculating the Conversion rate for Businesses

4. Retention rate

Customer retention is the proportion of customers who remain loyal to your product over an extended period of time. These are users who consistently renew their subscriptions and actively interact with your product. Focusing on retention can attract new customers, reduce costs, boost ROI, and enhance user loyalty. 

Calculating the Retention Rate for Companies

5. Churn rate

The churn rate is the percentage of users who stop using your product in a given timeframe. A high churn rate means fewer users are engaged with your product. By identifying the reasons why customers are leaving, product managers can develop strategies to encourage them to return to the product.

Calculating the Churn Rate for Brands

6. Week 1 engagement

Week 1 engagement measures user interaction with your product within the first week of the trial or paid usage. If a user isn’t engaging with your product within the first week, they may churn before reaching full user activation. The reasons for this issue may include challenges with the onboarding process, insufficient customer support, and the absence of key features.

7. Bounce rate

Bounce rate monitors the last page or screen that a user accessed before leaving your product. The bounce rate helps identify whether users are leaving after completing a specific task or whether potential obstacles are causing frustration. A lower bounce rate means that users find your product engaging enough to explore further within your platform. 

Calculating the Bounce Rate for Businesses

8. Feature adoption rate

When customers begin using specific features of a product, it is called feature adoption. A high feature adoption rate means a feature is popular with users.

Calculating the Feature Adoption Rate for Companies

Understanding why users engage with certain features can provide valuable insights. If a feature has low adoption, it should be monitored closely. The low feature adoption can either be improved or removed entirely.

9. Net Promoter Score (NPS)

The Net Promoter Score (NPS) is a measure of customer loyalty that evaluates how likely it is that your customers will recommend your brand to others. A higher NPS means your users are satisfied with your platform and are inclined to advocate it to others, which can help you acquire and retain more users.

Calculating the Net Promoter Score for Brands

The prevalent method for calculating NPS involves surveying your customers through an online form.

Example of the question to survey for the Net Promoter Score

10. Average session duration

Session duration refers to the average time users spend on your platform during a single visit. This reflects user interest and engagement in your content or services within a specific session. By analyzing session durations, product teams can identify the products and features that are most popular with their audience.

How to measure product engagement

Measuring product engagement is important for SaaS companies to understand how users interact with their products. By selecting the appropriate Key Performance Indicators (KPIs) for user engagement, you can identify features and areas for improvement. 

Brands can utilize tools such as Online Forms and Product Analytics to drive data-driven decisions by leveraging insights from product engagement metrics. Product Analytic tools empower SaaS companies to optimize product development and successfully cater to customers' requirements.

Understanding your potential customers with Formo’s Product Analytics

🌟 Jumpstart your Product Analytics with Formo

Formo Product Analytics is a cutting-edge platform created for Web3 product and marketing teams to measure important product engagement metrics such as adoption, retention, and churn rates. With Formo, Web3 startups and creators can enhance product development, make informed decisions, and improve marketing strategies to provide better user experiences. 

Measuring customer engagement is key to understanding product interactions and marketing performance. Understanding these 10 important metrics enables you to learn how to improve your products to better connect with your target audience. Product engagement metrics can help businesses confidently allocate their marketing budget to strategies that drive the most engagement.

Ready to unlock your product's potential? Sign up for Formo now to get early access!


Onchain Insights for Web3 Product Teams by Formo logo
Subscribe to Onchain Insights for Web3 Product Teams by Formo and never miss a post.
#product analytics#analytic#product engagement metrics#web3 analytics#formo web3
  • Loading comments...