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When you get your salary, you keep a track on your income, mandatory expenses, luxurious expenses and savings. This helps you keep a track of your finances and show you the scope of improvement. When it comes to mobile app development, numbers data, metric and its in-depth analysis is the legitimate way to proceed. App development is sought of like wedding planning. I know it’s a weird comparison, but it’s true.
If you intend to get it all right, you need to plan precisely, keep your eye on the details, do some miraculous marketing, and you are done. In case of the app development, you have to accumulate the market data, gather the user data, their usage timing, the gender of its usage, time period of their engagement, and then initiate with the actual development. Choosing the category, a platform to pick, features to fit in the app, marketing to undertake are some of the factors to be considered pre-app development for post app launch success.
One of the best examples to consider is of the Pokemon Go, an app that created a boom in the market. The game earned a humongous profit of $1.2 billion since its launch and still a buzz on the tech town. One of the apps that witnessed the upcoming trend of AR and VR and became the first in the history to come up with such innovation with a popular cartoon theme. Another such example is of iOS game Super Mario which surpassed Pokemon Go in terms of downloads with 28,50,000 on just the first day.
Well, the downloads figures were quite high but the app was not able to engage and retain and didn’t receive good ratings and reviews just like Pokemon Go. This clearly proves that mere high download numbers aren’t going to help the mobile app, the data-driven strategy will.
Metrics or Data You Should Consider for a Successful App Development
1) App Loading Time
App loading time is the transactions that can be handled by your app at a given point in time. Being a mobile app development company, it is mandatory to figure out how many features can the app handle. Adding a bulk of features and then bursting the users with an app that gives nothing but app crash isn’t the goal you are setting for app development. So, measure the app loading time pre-development.
2) Performance Metrics
Performance metrics are a standard to figure out the interaction of your app with other host devices which can be the computer or any of the given server. The app speed is an essential factor in entailing the users with an immersive app experience.
3) TTFB
It stands for Time To the First Byte which signifies the time taken by the app to receive the data from the server side. The appropriate response time is between 1.9 to 3 seconds. So, to develop the best, this metric is at the top priority. If you are not somewhere around this measurement, here are the few things to look for:
- Server configuration optimization.
- Send and receive data in compressed format.
- Using HTML from an early stage and for more prolonged time.
4) Exact Figure of Active Users
There are say for example 100 users who have downloaded your app but only 10 who actually uses the app. It makes a huge difference. Mere downloads won’t work but the number of active users using the app on regular basis will make the app successful. You can measure this active user in terms of daily active users, weekly active users, and monthly active users. You can consider using Google analytics to gain knowledge on these metrics.
5) Track User Behavior
Yet another place where you can use Google analytics. The real-time graph that Google analytics shows will help you to define the how much attracted the users are towards your app. It will give your information on the length of the user session or how frequently the users are visiting the app, what is the bounce rate, and average page view per session. These data help you to bridge the gap from being unsuccessful to successful.
Basic Data Curations You Need to Work On
- Acquisition channel
- Tracking acquisition metrics
- Cost per user acquisition
- Customer lifetime value
- Exact app user number
- Analytics of app crash
- API latency
- Screen rendering time
So, the end of the story is, it’s the data, not the download.