Recognize And Interpret User Requests

Knowing what users want is essential for the successful marketing of your app. Above all, why they download a specific app and what they hope for from the app. These insights should be instrumental in the development and marketing of your app. Based on the results of your research, you can apply app marketing in a more targeted manner and thus increase the app’s success.

Monetize Your App

For good marketing, it is essential to think about monetization early on. There is no general rule here. For each app, it is essential to find out the best form of monetization. Some apps are most likely to be marketed with ads turned on. However, some apps don’t either. A preliminary survey of the target group helps to find a suitable form. If you decide to market a paid app, Google advises you to start with a higher price. That way, you can always reduce your price and offer discounts later. Another suitable method is, for example, a hybrid model. This means a variant with different forms of monetization. For example, with advertisements and in-app purchases.

Create a Brilliant Marketing Plan

Google’s first tip is banal but essential: “Don’t invest in a weak product”. In the Google Play Store, you can tell users what your app has to offer in a nutshell. You can work with both images and texts. It is essential to recognize in which form of the app description your app has the most downloads. In this way, you can constantly adjust your marketing strategy.

Google gives a marketing plan in four steps. The individual steps are:

• Awareness
• Trial
• Purchase
• Repeat

Awareness refers to drawing attention to your app. Here, for example, advertisements and social networks play an essential role. Trial means letting the user test the app. This can be guaranteed with a free trial version. If this convinces the user, the next phase of the so-called “purchase” follows. If this step is successful, try to bind the user with updates, notifications, etc. (“repeats”).

Presentation of Your App in The Google Play Store

Various points must be observed for a successful presentation of your app in the Google Play Store:

• Offer the user meaningful screenshots and videos

• Label the screenshots – pure screenshots are out

• Depending on the supported device (smartphone, tablet), screenshots must be offered

• The title of the app should be self-explanatory

• A detailed description of your app helps the user and the ranking of your app

• Select the correct category for your app

• Focus on one keyword

An example of a successful Google Play Store entry is the presentation of the WhatsApp app. Do you like this entry? We are happy to help you with the creation of an app marketing concept. Contact us today and find out more.

Also Read: Technologies That Are Needed To Transform The Workplace

The post Tips For Successful App Marketing In The Google Play Store appeared first on TechReviewsCorner.

Moment of change

• We are facing a moment of change. Due to the boom that automation is going to experience, companies are going to start to rethink the organization of work. A reorganization that will affect the employees who are going to see how they are going to change their occupation and the companies are going to invest in training so that they train these new skills.
• As is clear from the study, most companies are aware that the implementation of automation will have a positive impact on their organization. These include that there will be greater employee satisfaction, and improvement in customer service, the creation of new income opportunities, competitive differentiation, and cost savings.
• Yes, automation is going to change the way companies operate. If the vector of artificial intelligence is added to this type of tool, thanks to which programming goes to the background since it will not be necessary to have programming knowledge for the development of applications thanks to the platforms of RPA.
• That is, like any disruptive technology, automation and RPA enter where a gap can be made that is none other than the reduction of costs, and also, in this case, the reduction of derived problems. But the advantages are much more extensive.
  Artificial intelligence is going to change many technologies “Artificial Intelligence is mainly software, it is about simulating behaviors of the human brain with software. It is true that you need some servers or some type of hardware to process the algorithms, but when you talk about AI, you almost always talk about algorithms like Neural Networks, GAN, etc. that are software. Robotization is something else. It is about stimulating or helping the human in more physical jobs. In this case, it is usually associated with physical robots,
• Society associates AI with physical robots, but RPA also benefits from artificial intelligence. The introduction of Artificial Intelligence and robotic process automation are transforming the world of software and the way it is developed. Thanks to these two tools, routine tasks of this work are being standardized and there is an important help to identify improvements in the development of new applications from the customer’s point of view.

Natural language and trends

• If we talk about Artificial Intelligence, natural language processing is where most progress has been made in terms of process automation. It makes it possible, for example, to dive into our data, the business user does not require queries or advanced knowledge, but uses something as natural as their voice and language. In the business intelligence sector,
• But although natural language processing represents the quintessence of AI in process automation right now, there is a factor that will also change this world as it is known until now. One of them is the one that refers to programming and specifically the intelligent programming assistants that will radically change the way in which business applications are developed.
• It is an ever-closer reality: artificial intelligence will produce inevitable changes in the programming sector and the work of programmers, in the sense that they will have to reorient their skills since the developer profile being sought will change. Programmers will have to specialize to practice their profession in automation environments marked by the rise of AI.
• Many programming environments today include intelligent functions to guide the programmer in his tasks. Although in most cases they suggest the best way to auto-complete the code, few do so based on the context in which we find ourselves. “To include more context, but above all to learn from the best and not just be based on rules, these systems are already learning from open source repositories on GitHub or allowing learning from the company’s own. Perhaps programmers will in the future be able to focus on high-level strategy or architecture, leaving implementation details to attendees, but currently, the help they receive is not enough to blindly trust the suggestions and is often no better than one.

Debugging errors

Debugging is one of the keys while developing any application. This is to eliminate the errors from the code. Using specific tools, developers inspect this code, find the errors that have occurred in the programming, and correct them. It is, in short, an arduous task that AI promises to simplify or even eliminate within the work that any programmer has. Application development, even more in agile environments and DevOps, requires a clear Quality Assurance (QA) strategy for the continuous and early identification of defects.

Program without programmers

At this point, all that remains is to try to guess as if you could ever develop an application without having to resort to human labor. At the moment, we already have low-code and even non-code platforms that allow us to create applications with hardly any programming knowledge, but will there come a time when we will launch a wizard to create a certain application and be a machine? to develop it in a short period of time, without errors and without security flaws? Well, it seems that it is not, at least in the short or medium term.

However, in certain environments and if these are simple applications that are not essential in the business of a company, we may see this possibility more closely.

The post AI Changes Application Development appeared first on TechReviewsCorner.