If your app is having trouble gaining new users or your app analytics show a growing trend of poor conversion rates, you and your product teams may need to perform a funnel analysis to determine what the issues are and how to increase user engagement.

In a thorough funnel analysis, development and product teams would examine several different important mobile app metrics using various mobile analytics tools.

Quantum Metric’s effective digital analytics experience platform lets you integrate your mobile app analytics tools and their data in one place. Then, your team can determine actionable insights to cut to the heart of your mobile apps’ issues, detail ways to improve the user experience, and produce a higher conversion rate.

Below, we discuss how a funnel analysis helps raise user conversions in mobile apps and provide some metrics your teams should follow.

How funnel analysis boosts conversions for mobile apps.

Funnel analysis is a focused, systematic approach to mapping your app’s user journey and figuring out how to encourage users to convert. Here are the steps to an effective funnel analysis that will drive increased mobile user conversion rates:

1. Define your conversion goal: What you want users to do on your app, such as make a purchase, sign up for a newsletter, or share content.
2. Map your app’s funnel: List all the steps a user needs to take to reach the conversion goal.
3. Select your analytics tool: There are several robust mobile app analytics tools available, like Mixpanel, Amplitude, or Quantum Metric. Pick one that fits your needs and properly integrates with your app.
4. Set up event tracking: Use your analytics tool to track events or actions corresponding to each step in the funnel.
5. Gather app data: Let time pass for data to accumulate. The duration can vary based on your app’s user base and the volume of interactions, but more data usually results in more reliable insights.
6. Visualize the funnel: Use your analytics tool to map the user journey from the first step to the conversion goal. Check how many users reach each touchpoint.
7. Find drop-off points: Analyze the funnel to find points where users stop progressing down the funnel. This can indicate friction points or UX issues.
8. Investigate drop-off causes: Analyze and understand the potential reasons for drop-offs, such as slow load times, poor design, glitchy UI, etc.
9. Devise a solution: Based on the gathered data and funnel analysis, plan how to resolve your app’s conversion friction points.
10. Conduct tests: Set up A/B or multivariate tests, exposing different user groups to new versions of the problematic step and measure which performs better.
11. Analyze test results: After a proper period of time, analyze the test results to find which version provides lower drop-offs and increased conversions.
12. Implement and iterate: Use insights from the tests to implement app changes and perform new funnel analyses, especially after making changes, to optimize the user journey further and earn even more conversions.

Funnel analysis is an ongoing process. As you make changes, introduce new features, or notice shifts in user behavior, regularly update and optimize your funnels to keep them relevant and effective.

Mobile app metrics to track and follow.

Starting up a funnel analysis for your mobile app involves identifying the metrics that reflect its current state: app performance, user engagement, and key performance indicators that will help your product team track conversion goals. Here are some important mobile app metrics to monitor and follow up on:

App download/uninstall 

These metrics involve the number of times an app has been downloaded and the number of uninstalled users.

App downloads can measure the success of mobile marketing campaigns and the possible conversions an app may generate. The number of users that uninstall an app can indicate potential issues with the app’s performance or design.

Daily active users (DAU)

This metric shows the number of users who open and engage with your app on a daily basis. It is crucial for measuring an app’s success, especially among social media apps.

Monthly active users (MAU)

This metric indicates the number of users who open and engage with an app at least once every thirty days, another measure of an app’s success as well as its “stickiness.”

Time spent in-app

This metric shows the average amount of time a user spends in your app during a single session. It indicates whether a mobile app has strong or weak user engagement.

User retention rate

This metric conveys the percentage of users who return to the app after their first visit and, thus, how successful the app is at drawing in mobile users.

Churn rate

The churn rate measures how many users stop using the app over a given period. A high percentage churn rate may indicate a lower number of conversions and a poor user experience.

User acquisition costs (UAC)

This metric shows the average customer acquisition costs based on mobile advertising analytics, marketing data, and more. In short, it shows how much it costs to gain one new user.

App crash rate

This metric shows the percentage of sessions that end in a crash, which is crucial for tracking app stability and performance.

Effectively track mobile performance with Quantum Metric.

Consistently performing a funnel analysis on your app will provide a clear vision of current user behavior and retention, as well as help your team find potential gaps and opportunities to improve.

For a more effective funnel analysis, utilize Quantum Metric’s mobile app analytics feature, which provides expansive data metrics, from API performance to conversion touchpoints, all in one centralized dashboard.

Find out how Quantum Metric can advance your mobile app analytics and more — schedule a demo or contact us today!