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Too Many Apps For That: AI And Machine Learning Humanize App Development And Marketing Posted on Dec 05 - 2017

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Remember the saying, “there’s an app for that”? It may be the case that there are too many apps for that these days. The number of available apps in the Google Play store was placed at 3.3 million in September 2017. Apple’s App Store is the second-largest app store with 2.2 million available apps.

In such a cluttered space, even the best apps struggle to find an audience. And more so, understanding how and what users value in the best apps is also becoming increasingly difficult.

The good news is, there’s an app, well platform, for that too. With the rise of artificial intelligence (AI) and machine learning, app marketers and developers are gaining access to real-time insights to design better apps and successfully market them.

Intelligence comes at a time when data is becoming more and more available and also unwieldy. With the rise of the mobile, social, real-time, devices and apps offer helpful data that’s readily available to app developers and marketers. The challenge is that data is, well, big, making it difficult to mine through everything for design and audience insights.

Yet, there are important questions that still need answering…

• What will delight my users?

• Who are my most desirable audiences/markets?

• How do I connect with them?

• Who are my most profitable users?

• Where are they coming from?

• How do I keep existing users coming back and referring their peers?

Over the years, I’ve done a lot of work with Google in researching micro-momentsand how consumers make decisions in mobile-first and mobile-only scenarios. Lately, I’ve also researched with Google the possibilities of AI/machine learning to enhance user and customer experiences. View More


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