The Mixing of A.I. and Mobile App Marketing

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A.I. is definitely one acronym that needs no explanation, and particularly if you’re deeply immersed in the modern digital world. Artificial Intelligence is the great new frontier, and while we all know well of Siri and Alexa, etc. etc., there’s really so much more to the trend and what it will mean for us in the not so distant future.

It’s now clear that A.I. is being implemented practically, and for a premier Canadian web hosting provider like ourselves that’s really exactly what we were hoping to hear. We can now expect that AI will not only revolutionize the mobile industry, but also greatly influence the way mobile apps are marketed in the coming years. A.I. employs machine learning to analyze data and differentiate that data into accurate or inaccurate based on specific ‘truth tables’ and calculations made. The result is a more thorough approach to decisions in all domains, and the marketing of mobile apps is included in that.

The strategy for mobile app marketers then becomes whether they should incorporate the vast potential of AI to qualify user behaviour automatically, predict buying behaviours, offer recommendations to users by taking previous purchase data into account, and making tthe app’s content more engaging. Mobile app advertisers can clearly see the immense potential and need for AI in mobile app marketing, and ways they can deploy it for best results.

Here’s how:

Automated reasoning ability of A.I.

A.I. has now empowered apps to engage in independent deductive reasoning. Paired with machine learning, it holds the promise of enabling new apps that possess a human-like ability to judge themselves, completely independent of human input and instead based in computer science and mathematical logic. This is artificial intelligence at its most powerful, as it helps the user to achieve their goal in a much easier and speedy way. Programming these apps using A.I. allows them to analyze the actions of the users while they engage with the app, and then providing them with smart directions based on the analysis of any number of relevant factors.

Users then benefit from a more customized and personalized experience, rather than any standard one-for-all solution. One example is how certain taxi apps use A.I. to take traffic congestion and time of the day into consideration when offering the best possible route for the driver. Along with the data of past trips and similar routes from other taxi drivers, an intelligent solution is arrived at.

A.I. for learning purchasing behaviours

The need to upsell an app after a number of initial downloads is essential for marketers to ensure the app continues to receive downloads. As a result, marketers need to target specific customers in specific ways based on informed decisions about the purchasing behaviours of customers. It’s now clear that bombarding them with emails, push notifications, and in-app messages is NOT the way to go about this.

Using A.I. makes this aim easier for marketers by processing and analyzing this data and providing information about the behaviour of app users that sorts them into genuine leads and ones who are unlikely to express any further interest in the product. Targeted suggestions about specific products and services and the best time to push out A.I.-powered systems can also decide on these notifications for specific customers.

A.I. to provide personalized purchase recommendations for users

Advances in technology have made it so that users are expecting more personalized services. To meet users’ expectations and keep them engaged, it becomes necessary to outdistance your competitors by using A.I. to implement a learning algorithm for monitoring user choices and their likes and dislikes when working with the app. This information can then be used to keep these users engaged with the app by making relevant – and smart – recommendations. Most users these days prefer to use anything that saves them time and effort, while adding value and efficiency to their daily digital tasks.

Using A.I. to enhance user experiences and send push notifications based on the information holds great promise for getting more out of your customer base.

Adding engaging content to apps using A.I.

High uninstall rates for apps observed within 90 days from the initial download is often a result of the failure of these apps to provide users with fresh, relevant, and engaging content. An app should not come across as a content cookbook. Instead, it should contain content which is appetizing for the specific demographic to which the majority of its users belong to. Weighing A.I. based research data about these users and adding elements of personalization using machine learning goes a LONG way in facilitating more user engagement.

Research has indicated that the first five sessions a new user spends with your app are crucial in deciding whether or not they will continue using it. A.I. works in the background and learns their behaviour, and then can serve to make each session more valuable than previous ones. Done correctly, there is often huge gains with user retention and engagement. Mobile app marketers can and should use A.I. to take out the guesswork of how to deliver the right message to the right person, at just the right time and through the ideal channel.

Mobile app developers who have wisely gotten onboard with this are now using some algorithms and methodologies in machine learning to solve every problem with the right mature approach, and that certainly applies to the marketing of mobile apps. A.I. is going to have a significant impact on the mobile app marketing, and if you ignore it you’ll definitely be doing so at your own peril as far as growth and continued demand are concerned.

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