10 Metrics You Should Track for Your App

10 Metrics You Should Track for Your App

Wondering how to keep an online resource reliable and demanded? We’ll discuss the top 10 metrics to follow up to obtain the greatest results. Let’s get down to business right away.


To confront fierce competition every app owner has to monitor divergent usage & engagement metrics. Those are critical indications to figure out users’ interaction with online resources in order to induce people to apply them more. We shall distinguish the key parameters.

Active users

Those are individuals that reopen a downloaded service repeatedly, applying it on a regular basis. The mentioned figure serves to evaluate a platform’s performance. Actually, we’re talking about Daily Active Users (persons enjoying an application at least once daily), as well as Monthly Active Users (individuals applying it minimum once monthly).

Wondering how to monitor the mentioned benchmark? Google Analytics is at your service. You’ll enjoy its varying filters to estimate the number of your active clients within the specified time frame.

Average using time

It’s equally important to keep an eye on how much time the audience spends taking advantage of a site and its features. Such a business metric reveals peculiar use trends. For instance, app creators can determine what set of people regularly enjoys the online solution for an extended period.

The given details shall help you figure out users’ behavior, which means you’ll get all tools required to develop upcoming upgrades for satisfying your audience requirements and meeting their expectations. It’s better to take such an indicator seriously if you want to create a successful app.

The metric is calculated in the following way: take overall using time – meaning, the length of all sessions in seconds – and divide it by the overall quantity of those sessions.

Abandonment rate

In case service was installed but was never used or signed up for, it shall be deemed to be abandoned. Thus, the better and smoother introducing and onboarding procedures are, the lower the abandonment indicator you’ll get.

There are occasions when individuals are excited to download a platform, and then something happens, so they aren’t willing to apply it. Maybe, it’s due to too detailed questions people have to answer to access the resource.

So, take a closer look at signing in steps of your solution to ensure the process is simple and user-oriented.

Abandonment rates could be easily measured by means of Google Analytics or other analytical frameworks.




We shall proceed with indicators to define how happy the audience is while applying a specific program. It’s critical to identify customers’ satisfaction level to be able to increase it. So, let’s specify what metrics shall come to the assistance in this regard.

App store reviews

It’s clear that users’ feedback of multiple formats, say, comments, ratings, etc., significantly affects app download figures, cos people decide to check reviews to get accurate and truthful data from the horse’s mouth.

No need to be afraid of negative reviews. Every site gets them. However, to save the day such undesired comments require wise follow-ups. You’ll definitely benefit if you treat that adverse feedback as certain hints on what to enhance. Such improvements shall better your audience in-app experience.

When neglecting poor comments, you might simply demotivate potential users to upload your online solution.

Specialized analytics trackers, like, AppFollow, shall provide data you need on comments, ratings, and reviews.

Response time

Speaking of improving users’ online experience, one can also apply such a metric.

Your clients might have some questions or inquiries, so it’s mandatory to have a help desk. However, it won’t help much, if it takes a long time for a service support team to reply.

It’s essential to devote enough time to see how effective the support system is. Is it easy for the clients to get in touch with the support team? Make sure your employees have everything they require to provide high-quality assistance. Happy users apply online programs a lot.

Do you know how much time your platform needs to respond to the audience? Simply take the time, when a response was provided, and deduct the time, when a user sent a request. That’s the way to calculate your support response time.

Net promoter score

The mentioned parameter is about the chances that persons taking advantage of an online resource will recommend it to their friends or colleagues. It’s pretty simple to keep that indication high. You as an app owner just need to prioritize clients’ connections, making them an integral part of the main features of your service.

If you’re planning to monitor your NPS, take advantage of ranking scales – just ask your people, how likely they are to recommend your platform to others.



Finally, it’s about evaluating your program’s efficiency to figure out what aspects require your attention.


The given metric serves for evaluating an app loading performance. For instance, it keeps track of the time required for a search engine to present the searching results. The faster loading speed gets, the greater customers’ involvement is, while slow loading leads to higher abandonment percentage.

Try different tracing resources to monitor your platform speed. Then, you’ll know right away when it’s time to take action.

Crash number

The benchmark indicates the number of times an application crashes.

Such app failures must be tracked and treated wisely. Your support team shall take action to fix them, in case a resource goes down, and to prevent such malfunction in the future. Here it’s critical to collect as much data as possible, for example, crash costs, the causes, etc.

As to tracing such a figure, you could apply the already-mentioned Google Analytics to generate a specific crash report.


Of course, let’s review what metrics will help you determine, whether you receive the desired profit.

Average revenue per user

ARPU presents the revenue which your average audience makes for you. The tricky part is that the metric won’t tell you how much money one individual can gain for you in an online lifetime.

The ARPU calculation is pretty simple. You take the overall service income over a certain period to divide it by the number of customers over the same time period.

Lifetime value

Such a parameter assesses how much profit you’re expecting to obtain from your regular clients. Moreover, the indication guides you on what to invest in order to obtain a wider audience.

To define your LTV you shall multiply average conversion values, the average quantity of your conversions, and an average online lifetime of your users.

You simply need to monitor those metrics to keep your solution successful and profitable.

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