For whatever purpose a mobile app may be developed, the performance of the app is what goes to determine its success. Therefore, app developers usually focus on optimising it for different Operating Systems, browsers or devices. In a market swelling with more than 2.5 million Android apps it’s important to keep the app live and updated to gain a customer base.
The owner of the mobile app expects to monetise and get good ROI without much delay once the developed app is launched. After spending money and efforts, it’s good to track its performance.
Therefore, it’s good to check or measure the performance of the app against a checklist of parameters or metrics. You need to consider the front-end and back-end performance metrics to measure performance. The app has to be in robust and efficient, to survive the market competition
Some critical parameters or metrics you should consider are as given as follows.
Consider Metrics for Performance
See if the app can handle multiple transactions simultaneously without slowing down.
The ideal time of latency is about 1 second for the app to run a full cycle, starting from submitting a request to getting a response. High latency will lower the chances of success of the app given the low patience level of mobile users.
Crashes on Loading.
Although the average crashed per app load is 1 to 2 percent but could differ because of the type of app.
Network service errors.
When the app is interfacing to a network, networking errors will result in crashes or slow response, which should be avoided.
Consider User Metrics & Demographics.
Devices and Operating Systems. Gauge the success of the app by studying the devices, like tablets and smartphones used to access the app, including the OS version, for optimising app performance.
The app will be more successful if you identify the location of maximum users of the app geographically to help you plan strategy and coverage priorities.
Daily & Monthly Active Users (DAU) count.
In the initial phase of deployment, the tracking of DAU (Daily Active Users) and MAU (Monthly Active Users) can help you in keeping consistency, retaining and increasing users.
The Sticky formula.
Sticky means the stickiness of users which implies how often users come back to your app which is a formula derived out of DAU & MAU. The closer DAU is to MAU the higher the C Metrics on User Engagement (UX).
The metric on how many users return after the first time is retention rate. It measures how engaging the app is. If the rate is low analyse the flaw in UX, UI, functionalities or features.
The time period between start and exit of a user on the app in a session, is a metric indicating the popularity of the app.
In-app Event Tacking.
The metric helps to analyse in-depth the user’s in-app session tracking all events in it. The data gives you the actionable insights to improve the app performance with every update.
This metric helps analyse when users quit using the app, something related to retention analysis. By knowing when and why users quit, app retention can be improved.
Metrics for Business
This metric specifies the number of transactions initiated and stopped or cancelled. By analysing the root cause of abandonment issues can be resolved to improve app performance. Issues may be like poor UX, crash, high loading time or others.
This metric helps to know the source of your users and value to users during their experience.
Cost Per Acquisition. This metric is helps to fix the cost of acquiring app users, like out of a campaign or as a total cost.
Lifetime value (LTV).
Lifetime Value formulae helps to measure whether you are paying too much for your customers considering the value they bring which should be higher than CPA. LTV evaluates value of transactions users make, how long they remain customers.
Average Revenue per User (ARPU).
This metric is the average revenue is derived by dividing the total revenue by number of users have had using the app.
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