Tuesday, 4 June 2019

Predictive Analytics for Mobile Apps: The Comprehensive Guide

A few years back, Gartner predicted for the year 2018, that less than 0.01 percent of consumer mobile apps will be considered a financial success.

The alarming fact has shaken up the entrepreneurs from top to bottom who remain trapped in the positive thinking web and forbidden the word ‘failure'. If you want your app to stand in the noisy app marketplace, then the secret to the app success is to know the worst things that can bring failure to your app, in advance. How can you predict which things will make the users abandon the app, draw the user's attention, or convert the users (Revenue)?

It’s a mystery that’s difficult to solve and if not solved, it can make your app remain unknown in history. Don’t fret! There is a solution to every problem.

The name of this magic bullet is predictive analytics which gives you the power to know how the target user will react to the app in detail before the actual launch.

What is predictive analytics?

Predictive analytics is a crystal ball that let you know everything that happens to the app and the actions to prevent or boost to engineer the app that delights the users in the future. It ...


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