Machine Learning: An Asset for Mobile Marketers

Indeed, as Etudes et Analyzes shows, theuse of AI in companies experienced a 200% rebound between 2019 and 2022. In addition, in 2023, 90% of business leaders plan to implement it in the near future.

ML has become indispensable for mobile marketers who want to offer their users a complete experience. They also use many other tools for the development of mobile applications.

Essential tools for mobile marketing

The exponential growth in the number of mobile application users is forcing players in the sector to think better about their mobile marketing policy. This line of business offers effective and easily accessible marketing tools. Here are those that we can cite among others.

Sending SMS from a PC

The effectiveness of SMS in mobile marketing lies in its reading time, because according to studies, 90% of SMS are opened within 4 minutes of being sent. For more effective campaigns, it is now possible tosend SMS via API (application programming interface) from a PC. Many business leaders use it for: sending SMS alerts, marketing SMS, payment reminders, and much more.

The creation of a QR code

Also very popular with mobile marketers, the QR code brings additional information to users of a service. For example, you can create a QR code to promote a mobile application to users of an existing service.

Using the iBeacon box

It is a box that is used to convey promotional messages, by transmitting them to an application in the form of push notifications. Based on BLE technology, the iBeacon works as an information transmitter, allowing the application to offer contextualized services. This tool is very popular with local trade operators who can then easily inform their customers of new offers.

ML improves user acquisition

With the advent of artificial intelligence, mobile marketers have developed multiple solutions to anticipate user behavior. After SMS, the QR code, or even the iBeacon, ML offers a more optimal experience to the end user, through its algorithm based on a continuous learning model.
Thanks to this technology offering more precision, it becomes easier to identify the behavior of users and to predict their actions.

The Benefits of ML for Mobile Marketing

Integrating this technology into an application improves several aspects of its management. We’ll see which ones.

Behavior anticipation

AI is at the service of game and mobile application developers on several levels. Thanks to this technology, they more accurately track the choices and preferences of each user. They can thus constitute a database including data such as: age, gender, geographical position, frequency of connection to the application, type of search carried out, etc.

A better selection of advertisements

Advertising campaigns only have weight if they reach the target. With ML, specialists determine the types of advertisements suitable for each audience. This helps to make campaigns profitable and to better determine the budget to be allocated to them.

Statista reveals in one of its reports that in 2023 the French companies will invest in AI. We are talking about more than 1.3 billion euros. Indeed, while machine learning is very popular with mobile marketing players, it also applies to various fields of activity. In trade, tourism or finance, it is used to detect fraud. It is also an excellent decision support tool for companies operating in the fields of health, agriculture, economics and much more.