Last Updated: May 15, 2024


Rohit Rawat


A mobile app is a powerful tool that can take your business to unprecedented heights. However, understanding what makes an app truly thrive can feel like navigating mazes.

Is it the dazzling visuals? The ingenious features? The cutting-edge technology? While these elements play a role, the real key to success often lies in a hidden realm: application performance metrics.

These quantitative and qualitative indicators offer invaluable insights into how users experience your app, how effectively it converts them, and ultimately, how it generates revenue.

That’s why we have created this comprehensive blog that discusses 24 important mobile app metrics in detail. With their help, you’ll be able to monitor and improve the performance of your app.

6 General Application Performance Metrics for Data-Driven Decisions

Below discussed are a few general application performance metrics that can help enhance business decisions and mobile performance.



While a high number of downloads reflects app popularity and potential awareness generation, it's only the first step in the user journey. To fully understand user acquisition and optimize your marketing strategy, it's crucial to delve deeper into the data.

Analyze download trends across different channels, such as app store searches, social media campaigns, influencer partnerships, and other marketing efforts. This helps reveal how users are discovering your app.

This information allows you to identify the most effective channels. It also tailors your marketing efforts accordingly and improves app store optimization for improved visibility and discoverability.


While downloads represent initial interest, the number of active installations provides a clearer picture of user retention. This metric provides a clearer view of user retention. It does that by revealing how many downloaded apps are being set up and used. If you analyze the drop-off rate between downloads and installs, you will be able to pinpoint specific points in the user journey where friction arises.

This could be a cumbersome installation process, confusing onboarding steps, or a lack of initial value proposition. By identifying these friction points, you can make targeted improvements. It will enable you to streamline the installation process, simplify onboarding, and enhance the initial user experience. This will ultimately lead to higher retention rates and a more engaged user base.


A high uninstall rate acts as a red flag, signaling user dissatisfaction or unmet expectations. By closely monitoring uninstall trends and analyzing them alongside user activity data, you can gain valuable insights into the factors leading to app abandonment.

Identify specific features or functionalities that coincide with spikes in uninstalls.

  • Are users struggling with a particular feature?
  • Are they missing critical functionality?
  • Does the app offer enough value to retain their interest?

You can pinpoint these pain points and address them through improvements, bug fixes, or feature enhancements. Therefore, you can minimize uninstall rates, improve user satisfaction, and foster a loyal user base.

Active Users

The "Active Users" category provides a deeper understanding of user engagement. It differentiates between those who simply downloaded the app and those who actively utilized it.

There are two main mobile app performance metrics here that you must track. One is Daily Active Users (DAU) and the other is Monthly Active Users (MAU). By doing that, you gain valuable insights into the frequency of app usage and the size of your engaged user base.

Monitoring these metrics over time allows you to assess overall engagement trends. It helps identify potential seasonal fluctuations and evaluate the impact of specific events or marketing campaigns on user activity. This information is crucial for optimizing the app experience, tailoring content and features based on user behavior. Therefore, it drives deeper engagement with your app.

Session Length

Session length unveils the depth of user engagement, revealing how long users remain actively involved with your app per session. A longer session length serves as a positive indicator, suggesting deeper user immersion and satisfaction with the app's experience.

Conversely, a short session length may signal potential usability challenges, a lack of compelling content, or difficulties navigating the app. By analyzing session length alongside other user behavior data, you can pinpoint specific areas within the app where users lose interest and disengage.

This allows you to address usability issues, optimize content delivery, and enhance key features. That encourages longer and more fulfilling user sessions. Therefore, you can increase engagement and offer a more positive user experience.

Session Depth

Session depth dives deeper into user engagement by revealing how many screens or pages users visit per session. A higher session depth indicates a more exploratory user journey. It indicates that users navigate through various functionalities and engage with different aspects of the app. This suggests deeper user interest and a positive exploration experience.

A low session depth may signify limited user exploration or a lack of engaging content within the app. You can identify specific features or content that resonate most with users by tracking this metric. That will help you prioritize content development, improve feature discoverability, and optimize the user journey for deeper exploration and engagement.

6 Critical User Engagement Mobile Application Performance Metrics for Optimal Performance

User engagement is crucial for the success of any app, and monitoring performance metrics can help identify areas for improvement. Here are six major user engagement application performance metrics.


App Open Rate

The App Open Rate metric acts as a crucial indicator of user acquisition effectiveness and ongoing engagement. It reveals the percentage of users who actively open and use the app after installing it.

A high open rate signifies successful user acquisition strategies and sustained user interest. It also suggests that users are finding value in the app and returning to utilize its features and functionalities.

A low open rate may indicate ineffective marketing campaigns, poor app onboarding experiences, or a lack of initial value proposition.

Monitoring open rate trends across different user segments and platforms is a fruitful activity. You can gain valuable insights into how different marketing channels are driving app usage and identify areas for optimization.

Retention Rate

The Retention Rate metric sheds light on the effectiveness of your app in retaining users over time. By tracking retention rates across different user cohorts, such as new users and returning users, you can identify specific user groups where attrition occurs and tailor your retention strategies accordingly.

You can analyze the drop-off rate over specific periods, like day 1, week 1, and month 1. That will allow you to pinpoint critical moments within the user journey. You can find out areas where users lose interest and abandon the app. This data is invaluable for identifying friction points in the onboarding process, addressing usability issues, and implementing strategies to enhance user experience and engagement.

By proactively addressing these points of abandonment, you can optimize your app to encourage users to stay engaged and become loyal users. This will lead to a thriving and sustainable user base.

Churn Rate

The Churn Rate metric serves as a stark reminder of users who abandon your app. It highlights potential roadblocks hindering user retention. A rising churn rate can indicate major usability issues, a lack of engaging content, or a flawed app onboarding process.

Identifying specific features causing frustration, content lacking engagement, or confusing onboarding steps allows you to implement targeted improvements. This could involve addressing usability issues or enhancing content with exciting features.

Additionally, analyzing churn rates across different user segments helps you understand which groups are most likely to abandon the app. That will enable you to tailor retention strategies to their specific needs and preferences. By actively addressing churn and implementing effective retention strategies, you can turn lapsed users back into engaged users and foster a loyal user base for long-term app success.

Time Spent in App

The Time Spent in App metric delves into the intensity of user engagement. It reveals how long users are actively interacting with your app. A higher average time spent on the app signifies deeper user immersion and a greater engagement with the app's features and functionalities.

You must monitor this metric across different user segments. You can then compare it to other engagement metrics, such as session length and number of actions. By doing this, you can identify valuable patterns and potential optimization opportunities. This data can help you understand which features and content resonate most with users. That allows you to prioritize their development and improve user experience accordingly.

Number of Actions

The Number of Actions metric sheds light on how actively users interact with the app within each session. A higher number of actions signifies a more engaged and exploratory user journey. These actions include button clicks, screen views, and feature usage. This also suggests that users are actively utilizing various functionalities and are navigating through different parts of the app. That demonstrates a strong desire to interact with its features.

Based on this data, you can optimize the app to encourage further engagement, streamline user journeys, and deliver a more engaging and interactive experience. This can involve enhancing key features, improving the discoverability of functionalities, and removing obstacles that hinder user interaction. This will ultimately lead to a more fulfilling and satisfying user experience.

Funnel Completion Rate

The Funnel Completion Rate metric serves as a vital indicator of app conversion success. It reveals the percentage of users who complete desired actions within the app. This could include completing a purchase, registering for an account, subscribing to a service, or achieving any other key app goal.

A high completion rate signifies successful user journeys and effective conversion strategies. That indicates that users are finding value in the app and taking desired actions.

A low completion rate may indicate potential roadblocks within the user journey that hinder conversion.

You can monitor funnel completion rates across different user segments and identify specific stages where users drop off. This allows you to pinpoint areas where users abandon their desired actions, identify friction points that impede progress, and optimize the user journey accordingly.

This could involve simplifying the conversion process, removing unnecessary steps, and addressing usability issues. You can also provide additional guidance and support at critical points within the funnel.

6 UX and Performance Metrics for Seamless User Interactions

Evaluating user experience (UX) and performance metrics is crucial for ensuring seamless user interactions on websites or applications. Here are six key UX and Application performance metrics.


App Crashes

The App Crashes metric serves as a crucial indicator of app stability, revealing the frequency of unexpected app crashes that users encounter. Many crashes suggest potential bugs, software issues, or compatibility problems that significantly impact user experience and lead to frustration and abandonment. By tracking crash trends across different versions of the app and user segments, you can identify specific bugs that affect specific user groups and prioritize bug fixes accordingly.

This data helps you focus your development efforts on resolving critical issues that hinder user experience and negatively impact app stability. By proactively addressing app crashes and ensuring smooth app stability through consistent monitoring and optimization, you can provide a reliable and enjoyable user experience that fosters user trust and promotes sustained app usage.

App Crashes Rate

The App Crashes Rate metric goes beyond mere crash frequency by revealing the percentage of app sessions that abruptly terminate due to crashes. This provides a more precise and impactful picture of the severity of app stability issues and their direct influence on the user experience. A high crash rate signifies significant stability problems, indicating that many app sessions are disrupted by crashes, causing frustration and hindering user engagement.

This metric demands immediate attention and prioritization of bug fixes and stability improvements. By analyzing the crash rate alongside specific crash reports and user feedback, you can identify the most critical crashes impacting the largest user segments. This allows you to focus your development efforts on resolving these critical issues and rapidly improve app stability. It will ensure a smoother and more reliable user experience for all.

App Load Time

App Load Time measures the crucial window between launching the app and its full functionality, revealing how quickly users can start interacting with its features. A long load time can significantly impact user experience, leading to frustration and abandonment. Users generally expect quick and seamless app launches and long load times can create a negative perception and hinder further engagement.

By monitoring load times across different devices, operating systems, and network conditions, you can identify potential performance bottlenecks and prioritize optimization efforts. This could involve

  • Optimizing app code
  • Reducing resource consumption
  • Implementing lazy loading techniques for content
  • Utilizing caching mechanisms for faster data retrieval

Page Load Time

Page Load Time delves deeper into app performance, revealing the time it takes for individual screens or pages within the app to fully render and become interactive. Long page load times can significantly impact user engagement and satisfaction, leading to frustration and disengagement from the app.

Users expect content to load quickly and seamlessly, and prolonged page loading creates a sense of sluggishness and hinders user interaction with the app's features.

Monitoring page load times alongside user feedback can help you identify specific content or features that contribute to slow loading times. That will further enable you to address them directly and improve the overall app performance.

App Store Rating

The App Store Rating metric serves as a crucial indicator of user satisfaction and overall app perception. A high average rating signifies that users are finding value in the app and are generally satisfied with it. Conversely, a low rating may indicate user dissatisfaction, potential issues with the app, or areas requiring improvement.

Tracking rating trends over time and analyzing user reviews gives you valuable insights into user sentiment and understanding the key factors influencing their rating decisions. This data allows you to identify areas where the app excels and areas where users encounter difficulties or frustrations. You can use this information to demonstrate your commitment to user satisfaction, drive positive user sentiment, and a higher app store rating.

User Reviews and Feedback

Beyond the objective data provided by quantitative application performance metrics, user reviews and feedback offer an invaluable window into the subjective user experience. This qualitative data reveals the user's perspective on the app, highlighting potential usability issues, unmet needs, and desired features that might not be captured by mobile app performance metrics alone.

By actively soliciting and analyzing user feedback, you can gain a deeper understanding of user pain points, preferences, and expectations. This data can be used to prioritize bug fixes, develop new features, and address usability issues that directly impact user satisfaction.

6 Revenue Metrics to Keep Track of Your Income


In-App Purchases

The In-App Purchases metric reveals the total revenue generated through the sale of virtual goods, services, or features within the app. This metric provides valuable insights into the app's monetization strategy. That helps you understand which in-app offerings are resonating most with users and generating the most revenue.

To make the most of it, you can identify patterns and opportunities for further monetization. This could involve analyzing which features or virtual goods are most popular, identifying user groups with high spending potential, and tailoring your in-app offerings to cater to their specific needs and preferences. 

With careful monitoring and tracking, you can maximize your app's revenue potential and ensure its sustainable growth and success.

Subscription Revenue

Subscription revenue stands as the lifeblood of many app businesses, offering a predictable and sustainable income stream. By closely tracking subscription growth rates, churn rates (discussed in user engagement metrics), and average subscription duration, you gain valuable insights into the effectiveness of your subscription model. Also, it can help you identify areas for optimization in attracting and retaining subscribers. 

Tracking the average subscription duration provides a glimpse into user engagement and satisfaction with the subscription benefits. This will again help you identify areas where you can enhance their value proposition. 

Ultimately, by actively analyzing subscription revenue and its associated application performance metrics, you can ensure sustainable app growth and financial success.

Advertising Revenue

Advertising revenue plays a crucial role in monetizing many apps, offering a significant income stream. By closely analyzing ad impressions, click-through rates, and eCPM (effective cost per mile), you gain valuable insights into the effectiveness of your ad implementation and identify potential areas to increase revenue. Ad impressions reveal the total number of times users are exposed to ads within your app. That indicates the reach and potential revenue opportunity.

Click-through rates measure the percentage of users who interact with the ads. It provides a clear indication of their effectiveness in capturing user interest and driving desired actions.

Finally, eCPM reveals the average revenue generated per 1,000 ad impressions. It offers a holistic view of your ad performance and potential for further optimization.

By examining these key metrics and comparing them across different ad formats, placements, and user segments, you can identify which ads resonate most with users. Then you can optimize ad placement for maximum visibility and engagement, and adjust your ad strategy to maximize revenue.

Average Revenue per User (ARPU)

Average Revenue per User (ARPU) serves as a critical indicator of your app's monetization efficiency, revealing the average revenue generated per active user within a set timeframe. A high ARPU signifies successful monetization strategies, engaged users, and a thriving app ecosystem.

By consistently tracking ARPU trends and comparing them across different user segments, you gain valuable insights into which user groups contribute most significantly to your revenue stream. This allows you to identify high-value users, understand their behavior and preferences, and develop targeted monetization strategies tailored to their specific needs and engagement patterns.

Additionally, analyzing ARPU alongside other key mobile app metrics like user engagement, churn rate, and in-app purchase data can help you identify areas for improvement in your monetization strategy. This could involve optimizing your ad implementation, refining your subscription plans, or introducing new in-app offerings that resonate with high-value users.

Conversion Rate

The Conversion Rate metric serves as a crucial indicator of your app's ability to convert users into paying customers or subscribers. It measures the percentage of users who take a desired action that generates revenue, such as completing a purchase, subscribing to a plan, or signing up for a paid service.

You must closely track conversion rates across different purchase paths and user journeys. That will give you valuable insights into how effectively your app guides users toward completing these revenue-generating actions.

This further allows you to identify potential roadblocks or drop-off points within the conversion funnel, and areas where users lose interest or encounter difficulties during the purchase process.

Once these roadblocks are identified, you can implement targeted optimizations to remove friction points, streamline the conversion funnel, and make it easier for users to complete desired actions. This could involve simplifying the purchase process, providing additional payment methods, offering free trials or discounts, or personalizing the user experience to cater to specific user segments.

Customer Lifetime Value (CLTV)

Customer Lifetime Value (CLTV) goes beyond immediate revenue, capturing the total revenue a user generates throughout their entire relationship with the app. This metric provides a more holistic view of a user's value and indicates the long-term success of your app in attracting and retaining loyal customers.

By tracking CLTV alongside other engagement metrics, you gain valuable insights into the factors that contribute to high-value users. This knowledge allows you to identify characteristics and behaviors associated with loyal customers, enabling you to develop targeted strategies to acquire and retain them.

By focusing on fostering long-term relationships with high-value users and actively optimizing your CLTV metrics, you can ensure sustainable app growth, build a thriving user community, and ultimately achieve long-term success.

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Tracking Mobile Application Performance Metrics is Easy with Narola Infotech

Just like any project, understanding your starting point is key. Mobile apps offer a gateway to a vast new market, but navigating it effectively requires precise data-driven insights. 

Tracking the metrics we've explored is crucial, but don't stop there. Dive deeper into user acquisition channels, understand how your app is discovered and downloaded, and learn the secrets to sustainable user growth.

However, gathering useful insights might require the intervention of experts. Want to turn this knowledge into actionable results?

Narola Infotech’s team of mobile app experts is here to guide you. We'll help you identify the right KPIs, craft winning optimization strategies, and reach your app's full potential.

Contact us today!

Frequently Asked Questions (FAQ)

See the answers to some of our most commonly asked questions below.

We can absolutely help! Our team of experts can work with you to identify the most relevant metrics for your app and guide you through the process of setting up tracking tools and dashboards. We can also tailor a monitoring plan based on your specific needs and goals.

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