The mobile app market continues to grow, with customers having the choice of millions of apps to help their individualized needs and desires. And yet the overwhelming majority of these apps are unsuccessful. Forbes reports that 90% of all apps earn less than $1,250 per day and only 0.01% can be called financially successful.
In this hostile environment, app developers need every advantage and some luck in order to triumph over their competitors. Big data can offer that advantage. With the right tools and analytics, big data can help design unique apps which fulfill a customer desire, offer a better experience, and generally offer you a better chance of being part of that 0.01%.
Big data marketing
Far too many mobile app developers focus on creating an interesting, unique app rather than one which will appeal to consumers. The first and primary use of big data should be to help figure out what customers want. Then you can figure out how to fulfill that want with your app.
Fortunately, there are many ways to collect the necessary data. Pay attention to the number of downloads other, similar apps have received and figure out what they are doing to distinguish themselves from the competition. Look at social media networks, or conduct search engine tracking. Collect data from a wide variety of sources, and then use big bata analytics tools like Microsoft Azure to categorize data and draw conclusions. With the right marketing tools, you can discover the keywords which your app should target as well as the level of interest in your app’s idea.
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In addition to knowing what customers want, app developers must make their apps as easy to use and informative as possible. In order to do that, big data can track exactly how users behave and determine what they like or dislike about the app. App developers can use this data to improve their apps and offer a better experience.
New forms of data collection offer new ways to track user experiences. For example, Chatbots Magazine notes that conversational data collected through chatbots can be more effective than taking user surveys or ratings. Conversational data shows user interaction in real time, as opposed to web analytics which aggregates user data and may miss smaller, crucial details.
There are other ways to collect big data, such as by looking at the user experience in other apps and noting what you could be doing differently and better. But the key is collecting as much data as you can analyze using Google analytics, and then using it to streamline your app.
The Internet of Things
We hear about the development of all sorts of new technological trends, whether it is big data, the Internet of Things (IoT), or the importance of analytics. These trends are not competing to see which is the most important. Instead, they are cooperating to take each other to new heights and it is difficult to talk about any one trend in a vacuum.
The aforementioned chatbot example is one instance of technologies synergizing, but a bigger example is how big data marketing can be combined with the IoT. As Wired notes, the IoT is the concept of devices like hairbrushes or scales gaining internet connectivity. New devices going online will need new apps. The new apps will be aimed at collecting data which analyze customer usage patterns to help customer experience, and said data will be analyzed by big data analytics. Then the analytics can be used by others to create new apps or streamline existing ones.
Furthermore, IoT apps represent a new front for developers. The apps on your mobile device are designed to focus on the consumer, but IoT apps may be focused on connecting the hairbrush and scale so that they communicate data with each other and synergize to do new things. Big data can help make better apps, but big data combined with the IoT can do that and create new opportunities for developers.
Continuous development and progress
The mobile app development market is fraught with danger and opportunities to fail, and so developers need to leverage every technological opportunity available. Big data, combined with other technological tools like chatbots and the IoT, promises to be that opportunity. Technology can help developers understand what consumers want, how to improve their apps, and offer growing avenues for which there will be a demand for apps. The pressure is on developers to take advantage and understand the power of big data analytics.